46 results on '"Aben, J"'
Search Results
2. Neural Tube Defects and Folate Pathway Genes: Family-Based Association Tests of Gene-Gene and Gene-Environment Interactions
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Boyles, Abee L., Billups, Ashley V., Deak, Kristen L., Siegel, Deborah G., Mehltretter, Lorraine, Slifer, Susan H., Bassuk, Alexander G., Kessler, John A., Reed, Michael C., Nijhout, H. Frederik, George, Timothy M., Enterline, David S., Gilbert, John R., Speer, Marcy C., Aben, J., Aylsworth, A., Bodurtha, J., Brei, T., Buran, C., Iskandar, B., Ito, J., Lasarsky, N., Mack, P., Meeropol, E., Mackey, J., McLone, D., Oakes, W. J., Powell, C., Sawin, K., Walker, M., and Worley, G.
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- 2006
3. Modelling trends in ammonia in the Netherlands over the period 1990–2014
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Wichink Kruit, R.J., Aben, J., de Vries, W., Sauter, F., van der Swaluw, E., van Zanten, M.C., and van Pul, W.A.J.
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- 2017
- Full Text
- View/download PDF
4. A stochastic movement simulator improves estimates of landscape connectivity
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Coulon, A., Aben, J., Palmer, S. F., Stevens, V. M., Callens, T., Strubbe, D., Lens, L., Matthysen, E., Baguette, M., and Travis, J. M. J.
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- 2015
5. Development and evaluation of a software package for right ventricular analysis
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Hensgens, J. J. H., Weijers, B., Aben, J.-P. M. M., Kroes, A. P. G., Lemke, Heinz U., editor, Inamura, Kiyonari, editor, Doi, Kunio, editor, Vannier, Michael W., editor, Farman, Allan G., editor, and Reiber, Johan H. C., editor
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- 2002
- Full Text
- View/download PDF
6. Validation of aortic valve pressure gradient quantification using semi-automated 4D flow CMR pipeline
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Grafton-Clarke, C., Njoku, P., Aben, J.-P., Ledoux, L., Zhong, L., Westenberg, J., Swift, A., Archer, G., Wild, J., Hose, R., Flather, M., Vassiliou, V.S., and Garg, P.
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Echocardiography ,Aortic Valve ,Aortic stenosis ,Validation ,cardiovascular system ,Humans ,Aortic Valve Stenosis ,General Medicine ,Cardiac MRI ,Blood Flow Velocity ,Echocardiography, Doppler ,General Biochemistry, Genetics and Molecular Biology - Abstract
Objective Doppler echocardiographic aortic valve peak velocity and peak pressure gradient assessment across the aortic valve (AV) is the mainstay for diagnosing aortic stenosis. Four-dimensional flow cardiovascular magnetic resonance (4D flow CMR) is emerging as a valuable diagnostic tool for estimating the peak pressure drop across the aortic valve, but assessment remains cumbersome. We aimed to validate a novel semi-automated pipeline 4D flow CMR method of assessing peak aortic value pressure gradient (AVPG) using the commercially available software solution, CAAS MR Solutions, against invasive angiographic methods. Results We enrolled 11 patients with severe AS on echocardiography from the EurValve programme. All patients had pre-intervention doppler echocardiography, invasive cardiac catheterisation with peak pressure drop assessment across the AV and 4D flow CMR. The peak AVPG was 51.9 ± 35.2 mmHg using the invasive pressure drop method and 52.2 ± 29.2 mmHg for the 4D flow CMR method (semi-automated pipeline), with good correlation between the two methods (r = 0.70, p = 0.017). Assessment of AVPG by 4D flow CMR using the novel semi-automated pipeline method shows excellent agreement to invasive assessment when compared to doppler-based methods and advocate for its use as complementary to echocardiography.
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- 2022
7. Moving shear stress towards the clinic: preclinical comparison of optical coherence tomography-based versus angiography-based time-averaged wall shear stress estimations
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Naser, J, primary, Fogell, N, additional, Patel, M, additional, Yang, P, additional, Krams, R, additional, Wentzel, J J, additional, Aben, J P, additional, and De Silva, R, additional
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- 2021
- Full Text
- View/download PDF
8. Spatial aspects affecting acidification factors in European acidification modelling
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Bellekom, S., Hettelingh, J.-P., and Aben, J.
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- 2009
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- View/download PDF
9. Trend analysis of air pollution and nitrogen deposition over the Netherlands using the EMEP4NL and OPS model
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van der Swaluw, E, de Vries, W, Wichink Kruit, R, Aben, J, Vieno, M, Fagerli, H, Wind, P, and van Pul, A
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- 2020
10. Effects of perceived peer writing skills on peer feedback and peer grading in secondary education
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Aben, J., Timmermans, A.C., Dingyloudi, F., Strijbos, J.W., and Research and Evaluation of Educational Effectiveness
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- 2020
11. Gezonde Omgeving Utrecht (GO! Utrecht) : Handelingsperspectieven voor een gezonde leefomgeving
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van Alphen T, Linde K, Kok L, Aben J, den Hertog F, de Vries W, Maas R, Wesseling J, Staatsen B, Storm I, IRV, and DMG
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integrale wijkstrategie ,luchtkwaliteit ,physical infrastructure ,social cohesion ,RIVM rapport 2017-0189 ,synergy ,maatregelencombinaties ,air quality ,neighborhood profile ,gezonde leefomgeving ,healthy urban environment ,GO! Utrecht ,wijkprofielen ,integral neighborhood strategy ,fysieke inrichting ,sociale samenhang ,Rapid Assessment - Abstract
In opdracht van de gemeente Utrecht heeft het RIVM in het project GO! Utrecht onderzocht hoe de leefomgeving in de Utrechtse wijken gezonder kan worden gemaakt. Per wijk worden combinaties van maatregelen voor de leefomgeving voorgesteld die extra gezondheidswinst kunnen opleveren. De voorstellen zijn per wijk afgestemd op de omstandigheden en samengevat in factsheets. Zo geeft het de gemeente handvatten om keuzes te maken. Het gaat onder andere om maatregelen voor meer groen waar mensen iets mee kunnen doen (zoals buurtmoestuinen, buurtparkjes en onderhoud door bewoners van gemeentelijke groenstroken), beweegvriendelijke wijken, minder lawaai, schonere lucht en meer sociaal contact. Ook kan worden ingezet op verkeersvrije en leefbare straten ('leefstraten'), meer plekken om fietsen te stallen, het stimuleren van zogeheten deelauto's en een betere handhaving op asociaal rijgedrag. De aanpak van GO! Utrecht is erop gericht om maatregelen voor het milieu, de fysieke inrichting en sociale samenhang tegen elkaar af te wegen en te vertalen in integrale strategieën om de wijk te verbeteren. Het zijn maatregelen die in de praktijk al hebben bewezen te kunnen bijdragen aan een gezondere leefomgeving in brede zin. De meerwaarde van dit onderzoek zit vooral in de voorgestelde combinaties van maatregelen die op meerdere onderdelen positief uitwerken: lucht en geluid, gezondheid en leefstijl, actief en sociaal, veiligheid en schoon, voorzieningen en inrichting, en groen. De benodigde informatie is uit beschikbare Utrechtse databestanden, wijkgesprekken en (inter)nationale bronnen met leefomgevingsmaatregelen verzameld. Aanvullend heeft het RIVM luchtkwaliteitsberekeningen uitgevoerd om op wijkniveau een beeld te krijgen welke stoffen en bronnen een aandeel leverden aan de totale luchtkwaliteit. Dit rapport biedt de achtergrondinformatie bij de factsheets om de resultaten van GO! Utrecht te kunnen duiden en de voorgestelde maatregelencombinaties te kunnen beoordelen en uit te voeren.
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- 2020
12. Glomerular expression of neuronal activity-regulated pentraxin precedes the development of anti-Thy-1-induced progressive glomerulosclerosis
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Aben, J A, IJpelaar, D H, Baelde, H, Worley, P, Noble, N, Bruijn, J A, and de Heer, E
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- 2006
13. Whole genomewide linkage screen for neural tube defects reveals regions of interest on chromosomes 7 and 10
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Rampersaud, E, Bassuk, A G, Enterline, D S, George, T M, Siegel, D G, Melvin, E C, Aben, J, Allen, J, Aylsworth, A, Brei, T, Bodurtha, J, Buran, C, Floyd, L E, Hammock, P, Iskandar, B, Ito, J, Kessler, J A, Lasarsky, N, Mack, P, Mackey, J, McLone, D, Meeropol, E, Mehltretter, L, Mitchell, L E, Oakes, W J, Nye, J S, Powell, C, Sawin, K, Stevenson, R, Walker, M, West, S G, Worley, G, Gilbert, J R, and Speer, M C
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- 2005
14. Feedback op de schrijfaanpak: de ontwikkeling van een schrijfprocesgericht feedbackrapport voor vwo-leerlingen
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Aben, J. E. J., Van den Broek, Brenda, Vandermeulen, Nina, Van Steendam, Elke, Rijlaarsdam, G. C. W., and Domain specific Learning (RICDE, FMG)
- Abstract
Feedback in schrijfvaardigheidsonderwijs gaat over de kwaliteit van teksten en moet leerlingen helpen hun schrijfvaardigheid verder te ontwikkelen. Jochem Aben, Brenda van den Broek, Nina Vandermeulen, Elke van Steendam en Gert Rijlaarsdam ontwikkelden voor leerlingen in 4 en 5 vwo een feedbackrapport over hun schrijfproces, dat het schrijfgedrag van leerlingen in kaart brengt als zij op de computer een tekst schrijven op basis van bronnen. Het feedbackrapport beoogt gestuurde zelfstudie: de leerlingen worden via uitleg en toepassingsopdrachten vertrouwd gemaakt met hun schrijfprocesgegevens en aangezet tot analyse en verandering. Een test van het rapport in een kleinschalige studie wees uit dat het leerlingen inderdaad in staat stelt zelfstandig concrete acties te formuleren om hun schrijfproces te verbeteren.
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- 2017
15. Gezonde Omgeving Utrecht (GO! Utrecht) : Handelingsperspectieven voor een gezonde leefomgeving
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IRV, DMG, van Alphen T, Linde K, Kok L, Aben J, den Hertog F, de Vries W, Maas R, Wesseling J, Staatsen B, Storm I, IRV, DMG, van Alphen T, Linde K, Kok L, Aben J, den Hertog F, de Vries W, Maas R, Wesseling J, Staatsen B, and Storm I
- Abstract
RIVM rapport:In opdracht van de gemeente Utrecht heeft het RIVM in het project GO! Utrecht onderzocht hoe de leefomgeving in de Utrechtse wijken gezonder kan worden gemaakt. Per wijk worden combinaties van maatregelen voor de leefomgeving voorgesteld die extra gezondheidswinst kunnen opleveren. De voorstellen zijn per wijk afgestemd op de omstandigheden en samengevat in factsheets. Zo geeft het de gemeente handvatten om keuzes te maken. Het gaat onder andere om maatregelen voor meer groen waar mensen iets mee kunnen doen (zoals buurtmoestuinen, buurtparkjes en onderhoud door bewoners van gemeentelijke groenstroken), beweegvriendelijke wijken, minder lawaai, schonere lucht en meer sociaal contact. Ook kan worden ingezet op verkeersvrije en leefbare straten ('leefstraten'), meer plekken om fietsen te stallen, het stimuleren van zogeheten deelauto's en een betere handhaving op asociaal rijgedrag. De aanpak van GO! Utrecht is erop gericht om maatregelen voor het milieu, de fysieke inrichting en sociale samenhang tegen elkaar af te wegen en te vertalen in integrale strategieën om de wijk te verbeteren. Het zijn maatregelen die in de praktijk al hebben bewezen te kunnen bijdragen aan een gezondere leefomgeving in brede zin. De meerwaarde van dit onderzoek zit vooral in de voorgestelde combinaties van maatregelen die op meerdere onderdelen positief uitwerken: lucht en geluid, gezondheid en leefstijl, actief en sociaal, veiligheid en schoon, voorzieningen en inrichting, en groen. De benodigde informatie is uit beschikbare Utrechtse databestanden, wijkgesprekken en (inter)nationale bronnen met leefomgevingsmaatregelen verzameld. Aanvullend heeft het RIVM luchtkwaliteitsberekeningen uitgevoerd om op wijkniveau een beeld te krijgen welke stoffen en bronnen een aandeel leverden aan de totale luchtkwaliteit. Dit rapport biedt de achtergrondinformatie bij de factsheets om de resultaten van GO! Utrecht te kunnen duiden en de voorgestelde maatregelencombinaties te kunnen beoordelen en uit te vo, The RIVM project GO! Utrecht has done research to promote a healthy urban environment in the ten Utrecht neighborhoods on request of the Utrecht municipality. The project focused on weighing measures in the environmental, physical and social domain in order to develop integrated healthy neighborhood strategies. Special attention was given to promising combinations that can create additional health gains. Necessary information was gathered through Rapid Assessment methods, from available local databases, focus group interviews and (inter)national databases containing measures to promote healthy urban neighborhoods. In addition the RIVM did air quality calculations on neighborhood level in order to quantify the contribution of the different components and the sources of air pollution, both local and regional. Also various air quality measures were compared in order to make an assessment of differences in health gains of these measures. The results were summarized in factsheets for every neighborhood and for the municipality as a whole. These factsheets contain combinations of measures with impact on different domains to address opportunities to promote healthier neighborhoods on themes like a better quality green environment, healthier mobility, improved social cohesion and less noise and cleaner air. This GO! Utrecht report gives the necessary background information in order to have a thorough insight in de project results, the methodology used and the range of combinations of measures proposed to promote a healthier neighborhood.
- Published
- 2018
16. P1.04 Determination of Both Near and Far Wall Behaviour of the Carotid Artery in Hypertensive and Normotensive Subjects
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Beaussier, H., Aben, J. P., Masson, I., Bozec, E., Brands, P., Boutouyrie, P., and Laurent, S.
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- 2010
- Full Text
- View/download PDF
17. The database of the PREDICTS (Projecting Responses of Ecological Diversity In Changing Terrestrial Systems) project
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Hudson, L. N., Newbold, T., Contu, S., Hill, S. L. L., Lysenko, I., Palma, A. de, Phillips, H. R. P., Alhusseini, T. I., Bedford, F. E., Bennett, D. J., Booth, H., Burton, V. J., Chng, C. W. T., Choimes, A., Correia, D. L. P., Day, J., Echeverría-Londoño, S., Emerson, S. R., Gao, D., Garon, M., Harrison, M. L. K., Ingram, D. J., Jung, M., Kemp, V., Kirkpatrick, L., Martin, C. D., Pan, Y., Pask-Hale, G. D., Pynegar, E. L., Robinson, A. N., Sánchez-Ortiz, K., Senior, R. A., Simmons, B. I., White, H. J., Zhang, H., Aben, J., Abrahamczyk, S., Adum, G. B., Aguilar-Barquero, V., Aizen, Marcelo A., Albertos, B., Alcalá, E. L., Alguacil García, María del Mar, Alignier, A., Ancrenaz, M., Andersen, A. N., Arbeláez-Cortés, E., Armbrecht, I., Arroyo-Rodríguez, V., Bros, Vicenç, Calviño-Cancela, María, Caparrós, R., Draper, Isabel, Garilleti, Ricardo, Lara, F., Lucas-Borja, M. E., Moreno Mateos, D., Mazimpaka, Vicente, Medina, Nagore G., Mico, E., Numa, Catherine, Pearman, P. B., Pino, Joan, Pons, P., Rey Benayas, José M., Stefanescu, Constantino, Torre, Ignasi, and Verdú, J. R.
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Habitat destruction ,Land use ,Data sharing ,Global biodiversity modeling ,Global change - Abstract
The PREDICTS project—Projecting Responses of Ecological Diversity In Changing Terrestrial Systems (www.predicts.org.uk)—has collated from published studies a large, reasonably representative database of comparable samples of biodiversity from multiple sites that differ in the nature or intensity of human impacts relating to land use. We have used this evidence base to develop global and regional statistical models of how local biodiversity responds to these measures. We describe and make freely available this 2016 release of the database, containing more than 3.2 million records sampled at over 26,000 locations and representing over 47,000 species. We outline how the database can help in answering a range of questions in ecology and conservation biology. To our knowledge, this is the largest and most geographically and taxonomically representative database of spatial comparisons of biodiversity that has been collated to date; it will be useful to researchers and international efforts wishing to model and understand the global status of biodiversity.
- Published
- 2017
18. The database of the PREDICTS (Projecting Responses of Ecological Diversity In Changing Terrestrial Systems) project
- Author
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Hudson, LN, Newbold, T, Contu, S, Hill, SLL, Lysenko, I, De Palma, A, Phillips, HRP, Alhusseini, TI, Bedford, FE, Bennett, DJ, Booth, H, Burton, VJ, Chng, CWT, Choimes, A, Correia, DLP, Day, J, Echeverría-Londoño, S, Emerson, SR, Gao, D, Garon, M, Harrison, MLK, Ingram, DJ, Jung, M, Kemp, V, Kirkpatrick, L, Martin, CD, Pan, Y, Pask-Hale, GD, Pynegar, EL, Robinson, AN, Sanchez-Ortiz, K, Senior, RA, Simmons, BI, White, HJ, Zhang, H, Aben, J, Abrahamczyk, S, Adum, GB, Aguilar-Barquero, V, Aizen, MA, Albertos, B, Alcala, EL, del Mar Alguacil, M, Alignier, A, Ancrenaz, M, Andersen, AN, Arbeláez-Cortés, E, Armbrecht, I, Arroyo-Rodríguez, V, Aumann, T, Axmacher, JC, Azhar, B, Azpiroz, AB, Baeten, L, Bakayoko, A, Báldi, A, Banks, JE, Baral, SK, Barlow, J, Barratt, BIP, Barrico, L, Bartolommei, P, Barton, DM, Basset, Y, Batáry, P, Bates, AJ, Baur, B, Bayne, EM, Beja, P, Benedick, S, Berg, Å, Bernard, H, Berry, NJ, Bhatt, D, Bicknell, JE, Bihn, JH, Blake, RJ, Bobo, KS, Bóçon, R, Boekhout, T, Böhning-Gaese, K, Bonham, KJ, Borges, PAV, Borges, SH, Boutin, C, Bouyer, J, Bragagnolo, C, Brandt, JS, Brearley, FQ, Brito, I, Bros, V, Brunet, J, Buczkowski, G, Buddle, CM, Bugter, R, Buscardo, E, Buse, J, Cabra-García, J, Cáceres, NC, and Cagle, NL
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Evolutionary Biology ,Ecology ,global biodiversity modeling ,data sharing ,land use ,global change ,habitat destruction - Abstract
© 2016 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd. The PREDICTS project—Projecting Responses of Ecological Diversity In Changing Terrestrial Systems (www.predicts.org.uk)—has collated from published studies a large, reasonably representative database of comparable samples of biodiversity from multiple sites that differ in the nature or intensity of human impacts relating to land use. We have used this evidence base to develop global and regional statistical models of how local biodiversity responds to these measures. We describe and make freely available this 2016 release of the database, containing more than 3.2 million records sampled at over 26,000 locations and representing over 47,000 species. We outline how the database can help in answering a range of questions in ecology and conservation biology. To our knowledge, this is the largest and most geographically and taxonomically representative database of spatial comparisons of biodiversity that has been collated to date; it will be useful to researchers and international efforts wishing to model and understand the global status of biodiversity.
- Published
- 2017
19. The database of the PREDICTS (Projecting Responses of Ecological Diversity In Changing Terrestrial Systems) project
- Author
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Hudson, L.N., Newbold, T., Contu, S., Hill, S.L.L., Lysenko, I., De Palma, A., Phillips, H.R.P., Alhusseini, T.I., Bedford, F.E., Bennett, D.J., Booth, H., Burton, V.J., Chng, C.W.T., Choimes, A., Correia, D.L.P., Day, J., Echeverría-Londoño, S., Emerson, S.R., Gao, D., Garon, M., Harrison, M.L.K., Ingram, D.J., Jung, M., Kemp, V., Kirkpatrick, L., Martin, C.D., Pan, Y., Pask-Hale, G.D., Pynegar, E.L., Robinson, A.N., Sanchez-Ortiz, K., Senior, R.A., Simmons, B.I., White, H.J., Zhang, H., Aben, J., Abrahamczyk, S., Adum, G.B., Aguilar-Barquero, V., Aizen, M.A., Albertos, B., Alcala, E.L., del Mar Alguacil, M., Alignier, A., Ancrenaz, M., Andersen, A.N., Arbeláez-Cortés, E., Armbrecht, I., Arroyo-Rodríguez, V., Aumann, T., Axmacher, J.C., Azhar, B., Azpiroz, A.B., Baeten, L., Bakayoko, A., Báldi, A., Banks, J.E., Baral, S.K., Barlow, J., Barratt, B.I.P., Barrico, L., Bartolommei, P., Barton, D.M., Basset, Y., Batáry, P., Bates, A.J., Baur, B., Bayne, E.M., Beja, P., Benedick, S., Berg, Å., Bernard, H., Berry, N.J., Bhatt, D., Bicknell, J.E., Bihn, J.H., Blake, R.J., Bobo, K.S., Bóçon, R., Boekhout, T., Böhning-Gaese, K., Bonham, K.J., Borges, P.A.V., Borges, S.H., Boutin, C., Bouyer, J., Bragagnolo, C., Brandt, J.S., Brearley, F.Q., Brito, I., Bros, V., Brunet, J., Buczkowski, G., Buddle, C.M., Bugter, R., Buscardo, E., Pe'er, Guy, Schweiger, Oliver, Kumar, R., Liu, Y., Hudson, L.N., Newbold, T., Contu, S., Hill, S.L.L., Lysenko, I., De Palma, A., Phillips, H.R.P., Alhusseini, T.I., Bedford, F.E., Bennett, D.J., Booth, H., Burton, V.J., Chng, C.W.T., Choimes, A., Correia, D.L.P., Day, J., Echeverría-Londoño, S., Emerson, S.R., Gao, D., Garon, M., Harrison, M.L.K., Ingram, D.J., Jung, M., Kemp, V., Kirkpatrick, L., Martin, C.D., Pan, Y., Pask-Hale, G.D., Pynegar, E.L., Robinson, A.N., Sanchez-Ortiz, K., Senior, R.A., Simmons, B.I., White, H.J., Zhang, H., Aben, J., Abrahamczyk, S., Adum, G.B., Aguilar-Barquero, V., Aizen, M.A., Albertos, B., Alcala, E.L., del Mar Alguacil, M., Alignier, A., Ancrenaz, M., Andersen, A.N., Arbeláez-Cortés, E., Armbrecht, I., Arroyo-Rodríguez, V., Aumann, T., Axmacher, J.C., Azhar, B., Azpiroz, A.B., Baeten, L., Bakayoko, A., Báldi, A., Banks, J.E., Baral, S.K., Barlow, J., Barratt, B.I.P., Barrico, L., Bartolommei, P., Barton, D.M., Basset, Y., Batáry, P., Bates, A.J., Baur, B., Bayne, E.M., Beja, P., Benedick, S., Berg, Å., Bernard, H., Berry, N.J., Bhatt, D., Bicknell, J.E., Bihn, J.H., Blake, R.J., Bobo, K.S., Bóçon, R., Boekhout, T., Böhning-Gaese, K., Bonham, K.J., Borges, P.A.V., Borges, S.H., Boutin, C., Bouyer, J., Bragagnolo, C., Brandt, J.S., Brearley, F.Q., Brito, I., Bros, V., Brunet, J., Buczkowski, G., Buddle, C.M., Bugter, R., Buscardo, E., Pe'er, Guy, Schweiger, Oliver, Kumar, R., and Liu, Y.
- Abstract
The PREDICTS project—Projecting Responses of Ecological Diversity In Changing Terrestrial Systems (www.predicts.org.uk)—has collated from published studies a large, reasonably representative database of comparable samples of biodiversity from multiple sites that differ in the nature or intensity of human impacts relating to land use. We have used this evidence base to develop global and regional statistical models of how local biodiversity responds to these measures. We describe and make freely available this 2016 release of the database, containing more than 3.2 million records sampled at over 26,000 locations and representing over 47,000 species. We outline how the database can help in answering a range of questions in ecology and conservation biology. To our knowledge, this is the largest and most geographically and taxonomically representative database of spatial comparisons of biodiversity that has been collated to date; it will be useful to researchers and international efforts wishing to model and understand the global status of biodiversity.
- Published
- 2017
20. The database of the PREDICTS (Projecting Responses of Ecological Diversity In Changing Terrestrial Systems) project
- Author
-
Hudson, L., Newbold, T., Contu, S., Hill, S., Lysenko, I., De Palma, A., Phillips, H., Alhusseini, T., Bedford, F., Bennett, D., Booth, H., Burton, V., Chng, C., Choimes, A., Correia, D., Day, J., Echeverria-Londono, S., Emerson, S., Gao, D., Garon, M., Harrison, M., Ingram, D., Jung, M., Kemp, V., Kirkpatrick, L., Martin, C., Pan, Y., Pask-Hale, G., Pynegar, E., Robinson, A., Sanchez-Ortiz, K., Senior, R., Simmons, B., White, H., Zhang, H., Aben, J., Abrahamczyk, S., Adum, G., Aguilar-Barquero, V., Aizen, M., Albertos, B., Alcala, E., del Mar Alguacil, M., Alignier, A., Ancrenaz, M., Andersen, A., Arbelaez-Cortes, E., Armbrecht, I., Arroyo-Rodriguez, V., Aumann, T., Axmacher, J., Azhar, B., Azpiroz, A., Baeten, L., Bakayoko, A., Baldi, A., Banks, J., Baral, S., Barlow, J., Barratt, B., Barrico, L., Bartolommei, P., Barton, D., Basset, Y., Batary, P., Bates, A., Baur, B., Bayne, E., Beja, P., Benedick, S., Berg, A., Bernard, H., Berry, N., Bhatt, D., Bicknell, J., Bihn, J., Blake, R., Bobo, K., Bocon, R., Boekhout, T., Bohning-Gaese, K., Bonham, K., Borges, P., Borges, S., Boutin, C., Bouyer, J., Bragagnolo, C., Brandt, J., Brearley, F., Brito, I., Bros, V., Brunet, J., Buczkowski, G., Buddle, C., Bugter, R., Buscardo, E., Buse, J., Cabra-Garcia, J., Caceres, N., Cagle, N., Calvino-Cancela, M., Cameron, S., Cancello, E., Caparros, R., Cardoso, P., Carpenter, D., Carrijo, T., Carvalho, A., Cassano, C., Castro, H., Castro-Luna, A., Cerda, R., Cerezo, A., Chapman, K., Chauvat, M., Christensen, M., Clarke, F., Cleary, D., Colombo, G., Connop, S., Craig, M., Cruz-Lopez, L., Cunningham, S., D'Aniello, B., D'Cruze, N., da Silva, P., Dallimer, M., Danquah, E., Darvill, B., Dauber, J., Davis, A., Dawson, J., de Sassi, C., de Thoisy, B., Deheuvels, O., Dejean, A., Devineau, J., Diekoetter, T., Dolia, J., Dominguez, E., Dominguez-Haydar, Y., Dorn, S., Draper, I., Dreber, N., Dumont, B., Dures, S., Dynesius, M., Edenius, L., Eggleton, P., Eigenbrod, F., Elek, Z., Entling, M., Esler, K., De Lima, R., Faruk, A., Farwig, N., Fayle, T., Felicioli, A., Felton, A., Fensham, R., Fernandez, I., Ferreira, C., Ficetola, G., Fiera, C., Filgueiras, B., Firincioglu, H., Flaspohler, D., Floren, A., Fonte, S., Fournier, A., Fowler, R., Franzen, M., Fraser, L., Fredriksson, G., Freire-, G., Frizzo, T., Fukuda, D., Furlani, D., Gaigher, R., Ganzhorn, J., Garcia, K., Garcia-R, J., Garden, J., Garilleti, R., Ge, B., Gendreau-Berthiaume, B., Gerard, P., Gheler-Costa, C., Gilbert, B., Giordani, P., Giordano, S., Golodets, C., Gomes, L., Gould, R., Goulson, D., Gove, Aaron, Granjon, L., Grass, I., Gray, C., Grogan, J., Gu, W., Guardiola, M., Gunawardene, Nihara, Gutierrez, A., Gutierrez-Lamus, D., Haarmeyer, D., Hanley, M., Hanson, T., Hashim, N., Hassan, S., Hatfield, R., Hawes, J., Hayward, M., Hebert, C., Helden, A., Henden, J., Henschel, P., Hernandez, L., Herrera, J., Herrmann, F., Herzog, F., Higuera-Diaz, D., Hilje, B., Hofer, H., Hoffmann, A., Horgan, F., Hornung, E., Horvath, R., Hylander, K., Isaacs-Cubides, P., Ishida, H., Ishitani, M., Jacobs, C., Jaramillo, V., Jauker, B., Jimenez Hernandez, F., Johnson, M., Jolli, V., Jonsell, M., Juliani, S., Jung, T., Kapoor, V., Kappes, H., Kati, V., Katovai, E., Kellner, K., Kessler, M., Kirby, K., Kittle, A., Knight, M., Knop, E., Kohler, F., Koivula, M., Kolb, A., Kone, M., Koroesi, A., Krauss, J., Kumar, A., Kumar, R., Kurz, D., Kutt, A., Lachat, T., Lantschner, V., Lara, F., Lasky, J., Latta, S., Laurance, W., Lavelle, P., Le Feon, V., LeBuhn, G., Legare, J., Lehouck, V., Lencinas, M., Lentini, P., Letcher, S., Li, Q., Litchwark, S., Littlewood, N., Liu, Y., Lo-Man-Hung, N., Lopez-Quintero, C., Louhaichi, M., Lovei, G., Lucas-Borja, M., Luja, V., Luskin, M., MacSwiney G, M., Maeto, K., Magura, T., Mallari, N., Malone, L., Malonza, P., Malumbres-Olarte, J., Mandujano, S., Maren, I., Marin-Spiotta, E., Marsh, C., Marshall, E., Martinez, E., Pastur, G., Mateos, D., Mayfield, M., Mazimpaka, V., McCarthy, J., McCarthy, K., McFrederick, Q., McNamara, S., Medina, N., Medina, R., Mena, J., Mico, E., Mikusinski, G., Milder, J., Miller, J., Miranda-Esquivel, D., Moir, M., Morales, C., Muchane, M., Mudri-Stojnic, S., Munira, A., Muonz-Alonso, A., Munyekenye, B., Naidoo, R., Naithani, A., Nakagawa, M., Nakamura, A., Nakashima, Y., Naoe, S., Nates-Parra, G., Gutierrez, D., Navarro-Iriarte, L., Ndang'ang'a, P., Neuschulz, E., Ngai, J., Nicolas, V., Nilsson, S., Noreika, N., Norfolk, O., Noriega, J., Norton, D., Noeske, N., Nowakowski, A., Numa, C., O'Dea, N., O'Farrell, P., Oduro, W., Oertli, S., Ofori-Boateng, C., Oke, C., Oostra, V., Osgathorpe, L., Eduardo Otavo, S., Page, N., Paritsis, J., Parra-H, A., Parry, L., Pe'er, G., Pearman, P., Pelegrin, N., Pelissier, R., Peres, C., Peri, P., Persson, A., Petanidou, T., Peters, M., Pethiyagoda, R., Phalan, B., Philips, T., Pillsbury, F., Pincheira-Ulbrich, J., Pineda, E., Pino, J., Pizarro-Araya, J., Plumptre, A., Poggio, S., Politi, N., Pons, P., Poveda, K., Power, E., Presley, S., Proenca, V., Quaranta, M., Quintero, C., Rader, R., Ramesh, B., Ramirez-Pinilla, M., Ranganathan, J., Rasmussen, C., Redpath-Downing, N., Reid, J., Reis, Y., Rey Benayas, J., Carlos Rey-Velasco, J., Reynolds, C., Ribeiro, D., Richards, M., Richardson, B., Richardson, M., Macip Rios, R., Robinson, R., Robles, C., Roembke, J., Romero-Duque, L., Ros, M., Rosselli, L., Rossiter, S., Roth, D., Roulston, T., Rousseau, L., Rubio, A., Ruel, J., Sadler, J., Safian, S., Saldana-Vazquez, R., Sam, K., Samnegard, U., Santana, J., Santos, X., Savage, J., Schellhorn, N., Schilthuizen, M., Schmiedel, U., Schmitt, C., Schon, N., Schuepp, C., Schumann, K., Schweiger, O., Scott, D., Scott, K., Sedlock, J., Seefeldt, S., Shahabuddin, G., Shannon, G., Sheil, D., Sheldon, F., Shochat, E., Siebert, S., Silva, F., Simonetti, J., Slade, E., Smith, J., Smith-Pardo, A., Sodhi, N., Somarriba, E., Sosa, R., Soto Quiroga, G., St-Laurent, M., Starzomski, B., Stefanescu, C., Steffan-Dewenter, I., Stouffer, P., Stout, J., Strauch, A., Struebig, M., Su, Z., Suarez-Rubio, M., Sugiura, S., Summerville, K., Sung, Y., Sutrisno, H., Svenning, J., Teder, T., Threlfall, C., Tiitsaar, A., Todd, J., Tonietto, R., Torre, I., Tothmeresz, B., Tscharntke, T., Turner, E., Tylianakis, J., Uehara-Prado, M., Urbina-Cardona, N., Vallan, D., Vanbergen, A., Vasconcelos, H., Vassilev, K., Verboven, H., Verdasca, M., Verdu, J., Vergara, C., Vergara, P., Verhulst, J., Virgilio, M., Van Vu, L., Waite, E., Walker, T., Wang, H., Wang, Y., Watling, J., Weller, B., Wells, K., Westphal, C., Wiafe, E., Williams, C., Willig, M., Woinarski, J., Wolf, J., Wolters, V., Woodcock, B., Wu, J., Wunderle, J., Yamaura, Y., Yoshikura, S., Yu, D., Zaitsev, A., Zeidler, J., Zou, F., Collen, B., Ewers, R., Mace, G., Purves, D., Scharlemann, J., Purvis, A., Hudson, L., Newbold, T., Contu, S., Hill, S., Lysenko, I., De Palma, A., Phillips, H., Alhusseini, T., Bedford, F., Bennett, D., Booth, H., Burton, V., Chng, C., Choimes, A., Correia, D., Day, J., Echeverria-Londono, S., Emerson, S., Gao, D., Garon, M., Harrison, M., Ingram, D., Jung, M., Kemp, V., Kirkpatrick, L., Martin, C., Pan, Y., Pask-Hale, G., Pynegar, E., Robinson, A., Sanchez-Ortiz, K., Senior, R., Simmons, B., White, H., Zhang, H., Aben, J., Abrahamczyk, S., Adum, G., Aguilar-Barquero, V., Aizen, M., Albertos, B., Alcala, E., del Mar Alguacil, M., Alignier, A., Ancrenaz, M., Andersen, A., Arbelaez-Cortes, E., Armbrecht, I., Arroyo-Rodriguez, V., Aumann, T., Axmacher, J., Azhar, B., Azpiroz, A., Baeten, L., Bakayoko, A., Baldi, A., Banks, J., Baral, S., Barlow, J., Barratt, B., Barrico, L., Bartolommei, P., Barton, D., Basset, Y., Batary, P., Bates, A., Baur, B., Bayne, E., Beja, P., Benedick, S., Berg, A., Bernard, H., Berry, N., Bhatt, D., Bicknell, J., Bihn, J., Blake, R., Bobo, K., Bocon, R., Boekhout, T., Bohning-Gaese, K., Bonham, K., Borges, P., Borges, S., Boutin, C., Bouyer, J., Bragagnolo, C., Brandt, J., Brearley, F., Brito, I., Bros, V., Brunet, J., Buczkowski, G., Buddle, C., Bugter, R., Buscardo, E., Buse, J., Cabra-Garcia, J., Caceres, N., Cagle, N., Calvino-Cancela, M., Cameron, S., Cancello, E., Caparros, R., Cardoso, P., Carpenter, D., Carrijo, T., Carvalho, A., Cassano, C., Castro, H., Castro-Luna, A., Cerda, R., Cerezo, A., Chapman, K., Chauvat, M., Christensen, M., Clarke, F., Cleary, D., Colombo, G., Connop, S., Craig, M., Cruz-Lopez, L., Cunningham, S., D'Aniello, B., D'Cruze, N., da Silva, P., Dallimer, M., Danquah, E., Darvill, B., Dauber, J., Davis, A., Dawson, J., de Sassi, C., de Thoisy, B., Deheuvels, O., Dejean, A., Devineau, J., Diekoetter, T., Dolia, J., Dominguez, E., Dominguez-Haydar, Y., Dorn, S., Draper, I., Dreber, N., Dumont, B., Dures, S., Dynesius, M., Edenius, L., Eggleton, P., Eigenbrod, F., Elek, Z., Entling, M., Esler, K., De Lima, R., Faruk, A., Farwig, N., Fayle, T., Felicioli, A., Felton, A., Fensham, R., Fernandez, I., Ferreira, C., Ficetola, G., Fiera, C., Filgueiras, B., Firincioglu, H., Flaspohler, D., Floren, A., Fonte, S., Fournier, A., Fowler, R., Franzen, M., Fraser, L., Fredriksson, G., Freire-, G., Frizzo, T., Fukuda, D., Furlani, D., Gaigher, R., Ganzhorn, J., Garcia, K., Garcia-R, J., Garden, J., Garilleti, R., Ge, B., Gendreau-Berthiaume, B., Gerard, P., Gheler-Costa, C., Gilbert, B., Giordani, P., Giordano, S., Golodets, C., Gomes, L., Gould, R., Goulson, D., Gove, Aaron, Granjon, L., Grass, I., Gray, C., Grogan, J., Gu, W., Guardiola, M., Gunawardene, Nihara, Gutierrez, A., Gutierrez-Lamus, D., Haarmeyer, D., Hanley, M., Hanson, T., Hashim, N., Hassan, S., Hatfield, R., Hawes, J., Hayward, M., Hebert, C., Helden, A., Henden, J., Henschel, P., Hernandez, L., Herrera, J., Herrmann, F., Herzog, F., Higuera-Diaz, D., Hilje, B., Hofer, H., Hoffmann, A., Horgan, F., Hornung, E., Horvath, R., Hylander, K., Isaacs-Cubides, P., Ishida, H., Ishitani, M., Jacobs, C., Jaramillo, V., Jauker, B., Jimenez Hernandez, F., Johnson, M., Jolli, V., Jonsell, M., Juliani, S., Jung, T., Kapoor, V., Kappes, H., Kati, V., Katovai, E., Kellner, K., Kessler, M., Kirby, K., Kittle, A., Knight, M., Knop, E., Kohler, F., Koivula, M., Kolb, A., Kone, M., Koroesi, A., Krauss, J., Kumar, A., Kumar, R., Kurz, D., Kutt, A., Lachat, T., Lantschner, V., Lara, F., Lasky, J., Latta, S., Laurance, W., Lavelle, P., Le Feon, V., LeBuhn, G., Legare, J., Lehouck, V., Lencinas, M., Lentini, P., Letcher, S., Li, Q., Litchwark, S., Littlewood, N., Liu, Y., Lo-Man-Hung, N., Lopez-Quintero, C., Louhaichi, M., Lovei, G., Lucas-Borja, M., Luja, V., Luskin, M., MacSwiney G, M., Maeto, K., Magura, T., Mallari, N., Malone, L., Malonza, P., Malumbres-Olarte, J., Mandujano, S., Maren, I., Marin-Spiotta, E., Marsh, C., Marshall, E., Martinez, E., Pastur, G., Mateos, D., Mayfield, M., Mazimpaka, V., McCarthy, J., McCarthy, K., McFrederick, Q., McNamara, S., Medina, N., Medina, R., Mena, J., Mico, E., Mikusinski, G., Milder, J., Miller, J., Miranda-Esquivel, D., Moir, M., Morales, C., Muchane, M., Mudri-Stojnic, S., Munira, A., Muonz-Alonso, A., Munyekenye, B., Naidoo, R., Naithani, A., Nakagawa, M., Nakamura, A., Nakashima, Y., Naoe, S., Nates-Parra, G., Gutierrez, D., Navarro-Iriarte, L., Ndang'ang'a, P., Neuschulz, E., Ngai, J., Nicolas, V., Nilsson, S., Noreika, N., Norfolk, O., Noriega, J., Norton, D., Noeske, N., Nowakowski, A., Numa, C., O'Dea, N., O'Farrell, P., Oduro, W., Oertli, S., Ofori-Boateng, C., Oke, C., Oostra, V., Osgathorpe, L., Eduardo Otavo, S., Page, N., Paritsis, J., Parra-H, A., Parry, L., Pe'er, G., Pearman, P., Pelegrin, N., Pelissier, R., Peres, C., Peri, P., Persson, A., Petanidou, T., Peters, M., Pethiyagoda, R., Phalan, B., Philips, T., Pillsbury, F., Pincheira-Ulbrich, J., Pineda, E., Pino, J., Pizarro-Araya, J., Plumptre, A., Poggio, S., Politi, N., Pons, P., Poveda, K., Power, E., Presley, S., Proenca, V., Quaranta, M., Quintero, C., Rader, R., Ramesh, B., Ramirez-Pinilla, M., Ranganathan, J., Rasmussen, C., Redpath-Downing, N., Reid, J., Reis, Y., Rey Benayas, J., Carlos Rey-Velasco, J., Reynolds, C., Ribeiro, D., Richards, M., Richardson, B., Richardson, M., Macip Rios, R., Robinson, R., Robles, C., Roembke, J., Romero-Duque, L., Ros, M., Rosselli, L., Rossiter, S., Roth, D., Roulston, T., Rousseau, L., Rubio, A., Ruel, J., Sadler, J., Safian, S., Saldana-Vazquez, R., Sam, K., Samnegard, U., Santana, J., Santos, X., Savage, J., Schellhorn, N., Schilthuizen, M., Schmiedel, U., Schmitt, C., Schon, N., Schuepp, C., Schumann, K., Schweiger, O., Scott, D., Scott, K., Sedlock, J., Seefeldt, S., Shahabuddin, G., Shannon, G., Sheil, D., Sheldon, F., Shochat, E., Siebert, S., Silva, F., Simonetti, J., Slade, E., Smith, J., Smith-Pardo, A., Sodhi, N., Somarriba, E., Sosa, R., Soto Quiroga, G., St-Laurent, M., Starzomski, B., Stefanescu, C., Steffan-Dewenter, I., Stouffer, P., Stout, J., Strauch, A., Struebig, M., Su, Z., Suarez-Rubio, M., Sugiura, S., Summerville, K., Sung, Y., Sutrisno, H., Svenning, J., Teder, T., Threlfall, C., Tiitsaar, A., Todd, J., Tonietto, R., Torre, I., Tothmeresz, B., Tscharntke, T., Turner, E., Tylianakis, J., Uehara-Prado, M., Urbina-Cardona, N., Vallan, D., Vanbergen, A., Vasconcelos, H., Vassilev, K., Verboven, H., Verdasca, M., Verdu, J., Vergara, C., Vergara, P., Verhulst, J., Virgilio, M., Van Vu, L., Waite, E., Walker, T., Wang, H., Wang, Y., Watling, J., Weller, B., Wells, K., Westphal, C., Wiafe, E., Williams, C., Willig, M., Woinarski, J., Wolf, J., Wolters, V., Woodcock, B., Wu, J., Wunderle, J., Yamaura, Y., Yoshikura, S., Yu, D., Zaitsev, A., Zeidler, J., Zou, F., Collen, B., Ewers, R., Mace, G., Purves, D., Scharlemann, J., and Purvis, A.
- Abstract
The PREDICTS project—Projecting Responses of Ecological Diversity In Changing Terrestrial Systems (www.predicts.org.uk)—has collated from published studies a large, reasonably representative database of comparable samples of biodiversity from multiple sites that differ in the nature or intensity of human impacts relating to land use. We have used this evidence base to develop global and regional statistical models of how local biodiversity responds to these measures. We describe and make freely available this 2016 release of the database, containing more than 3.2 million records sampled at over 26,000 locations and representing over 47,000 species. We outline how the database can help in answering a range of questions in ecology and conservation biology. To our knowledge, this is the largest and most geographically and taxonomically representative database of spatial comparisons of biodiversity that has been collated to date; it will be useful to researchers and international efforts wishing to model and understand the global status of biodiversity.
- Published
- 2017
21. Estimation of the Plant-Related Resistances Determining the Ozone Flux to Broad Bean Plants (Vicia Faba Var Metissa), After Long-Term Exposure to Ozone in an Open Top Chamber
- Author
-
Aben, J. M. M. and Mathy, P., editor
- Published
- 1988
- Full Text
- View/download PDF
22. The database of the PREDICTS (Projecting Responses of Ecological Diversity In Changing Terrestrial Systems) project
- Author
-
Hudson, LN, Newbold, T, Contu, S, Hill, SLL, Lysenko, I, De Palma, A, Phillips, HRP, Alhusseini, TI, Bedford, FE, Bennett, DJ, Booth, H, Burton, VJ, Chng, CWT, Choimes, A, Correia, DLP, Day, J, Echeverría-Londoño, S, Emerson, SR, Gao, D, Garon, M, Harrison, MLK, Ingram, DJ, Jung, M, Kemp, V, Kirkpatrick, L, Martin, CD, Pan, Y, Pask-Hale, GD, Pynegar, EL, Robinson, AN, Sanchez-Ortiz, K, Senior, RA, Simmons, BI, White, HJ, Zhang, H, Aben, J, Abrahamczyk, S, Adum, GB, Aguilar-Barquero, V, Aizen, MA, Albertos, B, Alcala, EL, del Mar Alguacil, M, Alignier, A, Ancrenaz, M, Andersen, AN, Arbeláez-Cortés, E, Armbrecht, I, Arroyo-Rodríguez, V, Aumann, T, Axmacher, JC, Azhar, B, Azpiroz, AB, Baeten, L, Bakayoko, A, Báldi, A, Banks, JE, Baral, SK, Barlow, J, Barratt, BIP, Barrico, L, Bartolommei, P, Barton, DM, Basset, Y, Batáry, P, Bates, AJ, Baur, B, Bayne, EM, Beja, P, Benedick, S, Berg, Å, Bernard, H, Berry, NJ, Bhatt, D, Bicknell, JE, Bihn, JH, Blake, RJ, Bobo, KS, and Bóçon, R
- Abstract
The PREDICTS project-Projecting Responses of Ecological Diversity In Changing Terrestrial Systems (www.predicts.org.uk)-has collated from published studies a large, reasonably representative database of comparable samples of biodiversity from multiple sites that differ in the nature or intensity of human impacts relating to land use. We have used this evidence base to develop global and regional statistical models of how local biodiversity responds to these measures. We describe and make freely available this 2016 release of the database, containing more than 3.2 million records sampled at over 26,000 locations and representing over 47,000 species. We outline how the database can help in answering a range of questions in ecology and conservation biology. To our knowledge, this is the largest and most geographically and taxonomically representative database of spatial comparisons of biodiversity that has been collated to date; it will be useful to researchers and international efforts wishing to model and understand the global status of biodiversity.
- Published
- 2016
23. The database of the PREDICTS (Projecting Responses of Ecological Diversity In Changing Terrestrial Systems) project
- Author
-
Hudson, L.N., Newbold, T., Contu, S., Hill, S.L.L., Lysenko, I., De Palma, A., Phillips, H.R.P., Alhusseini, T.I., Bedford, F.E., Bennett, D.J., Booth, H., Burton, V.J., Chng, C.W.T., Choimes, A., Correia, D.L.P., Day, J., Echeverría-Londoño, S., Emerson, S.R., Gao, D., Garon, M., Harrison, M.L.K., Ingram, D.J., Jung, M., Kemp, V., Kirkpatrick, L., Martin, C.D., Pan, Y., Pask-Hale, G.D., Pynegar, E.L., Robinson, A.N., Sanchez-Ortiz, K., Senior, R.A., Simmons, B.I., White, H.J., Zhang, H., Aben, J., Abrahamczyk, S., Adum, G.B., Aguilar-Barquero, V., Aizen, M.A., Albertos, B., Alcala, E.L., del Mar Alguacil, M., Alignier, A., Ancrenaz, M., Andersen, A.N., Arbeláez-Cortés, E., Armbrecht, I., Arroyo-Rodríguez, V., Aumann, T., Axmacher, J.C., Azhar, B., Azpiroz, A.B., Baeten, L., Bakayoko, A., Báldi, A., Banks, J.E., Baral, S.K., Barlow, J., Barratt, B.I.P., Barrico, L., Bartolommei, P., Barton, D.M., Basset, Y., Batáry, P., Bates, A.J., Baur, B., Bayne, E.M., Beja, P., Benedick, S., Berg, A., Bernard, H., Berry, N.J., Bhatt, D., Bicknell, J.E., Bihn, J.H., Blake, R.J., Bobo, K.S., Bóçon, R., Boekhout, T., Böhning-Gaese, K., Bonham, K.J., Borges, P.A.V., Borges, S.H., Boutin, C., Bouyer, J., Bragagnolo, C., Brandt, J.S., Brearley, F.Q., Brito, I., Bros, V., Brunet, J., Buczkowski, G., Buddle, C.M., Bugter, R., Buscardo, E., Buse, J., Cabra-García, J., Cáceres, N.C., Cagle, N.L., Calviño-Cancela, M., Cameron, S.A., Cancello, E.M., Caparrós, R., Cardoso, P., Carpenter, D., Carrijo, T.F., Carvalho, A.L., Cassano, C.R., Castro, H., Castro-Luna, A.A., Rolando, C.B., Cerezo, A., Chapman, K.A., Chauvat, M., Christensen, M., Clarke, F.M., Cleary, D.F.R., Colombo, G., Connop, S.P., Craig, M.D., Cruz-López, L., Cunningham, S.A., D'Aniello, B., D'Cruze, N., da Silva, P.G., Dallimer, M., Danquah, E.Y., Darvill, B., Dauber, J., Davis, A.L.V., Dawson, J., de Sassi, C., de Thoisy, B., Deheuvels, O., Dejean, A., Devineau, J.-L., Diekötter, T., Dolia, J.V., Domínguez, E., Dominguez-Haydar, Y., Dorn, S., Draper, I., Dreber, N., Dumont, B., Dures, S.G., Dynesius, M., Edenius, L., Eggleton, P., Eigenbrod, F., Elek, Z., Entling, M.H., Esler, K.J., de Lima, R.F., Faruk, A., Farwig, N., Fayle, T.M., Felicioli, A., Felton, A.M., Fensham, R.J., Fernandez, I.C., Ferreira, C.C., Ficetola, G.F., Fiera, C., Filgueiras, B.K.C., Fırıncıoğlu, H.K., Flaspohler, D., Floren, A., Fonte, S.J., Fournier, A., Fowler, R.E., Franzén, M., Fraser, L.H., Fredriksson, G.M., Freire, G.B., Frizzo, T.L.M., Fukuda, D., Furlani, D., Gaigher, R., Ganzhorn, J.U., García, K.P., Garcia-R, J.C., Garden, J.G., Garilleti, R., Ge, B.-M., Gendreau-Berthiaume, B., Gerard, P.J., Gheler-Costa, C., Gilbert, B., Giordani, P., Giordano, S., Golodets, C., Gomes, L.G.L., Gould, R.K., Goulson, D., Gove, A.D., Granjon, L., Grass, I., Gray, C.L., Grogan, J., Gu, W., Guardiola, M., Gunawardene, N.R., Gutierrez, A.G., Gutiérrez-Lamus, D.L., Haarmeyer, D.H., Hanley, M.E., Hanson, T., Hashim, N.R., Hassan, S.N., Hatfield, R.G., Hawes, J.E., Hayward, M.W., Hébert, C., Helden, A.J., Henden, J.-A., Henschel, P., Hernández, L., Herrera, J.P., Herrmann, F., Herzog, F., Higuera-Diaz, D., Hilje, B., Hofer, H., Hoffmann, A., Horgan, F.G., Hornung, E., Horváth, R., Hylander, K., Isaacs-Cubides, P., Ishida, H., Ishitani, M., Jacobs, C.T., Jaramillo, V.J., Jauker, B., Hernández, F.J., Johnson, M.F., Jolli, V., Jonsell, M., Juliani, S.N., Jung, T.S., Kapoor, V., Kappes, H., Kati, V., Katovai, E., Kellner, K., Kessler, M., Kirby, K.R., Kittle, A.M., Knight, M.E., Knop, E., Köhler, F., Koivula, M., Kolb, A., Kone, M., Kőrösi, Á., Krauss, J., Kumar, A., Kumar, R., Kurz, D.J., Kutt, A.S., Lachat, T., Lantschner, V., Lara, F., Lasky, J.R., Latta, S.C., Laurance, W.F., Lavelle, P., Le Féon, V., LeBuhn, G., Légaré, J.-P., Lehouck, V., Lencinas, M.V., Lentini, P.E., Letcher, S.G., Li, Q., Litchwark, S.A., Littlewood, N.A., Liu, Y., Lo-Man-Hung, N., López-Quintero, C.A., Louhaichi, M., Lövei, G.L., Lucas-Borja, M.E., Luja, V.H., Luskin, M.S., MacSwiney G, M.C., Maeto, K., Magura, T., Mallari, N.A., Malone, L.A., Malonza, P.K., Malumbres-Olarte, J., Mandujano, S., Måren, I.E., Marin-Spiotta, E., Marsh, C.J., Marshall, E.J.P., Martínez, E., Martínez Pastur, G., Moreno Mateos, D., Mayfield, M.M., Mazimpaka, V., McCarthy, J.L., McCarthy, K.P., McFrederick, Q.S., McNamara, S., Medina, N.G., Medina, R., Mena, J.L., Mico, E., Mikusinski, G., Milder, J.C., Miller, J.R., Miranda-Esquivel, D.R., Moir, M.L., Morales, C.L., Muchane, M.N., Muchane, M., Mudri-Stojnic, S., Munira, A.N., Muoñz-Alonso, A., Munyekenye, B.F., Naidoo, R., Naithani, A., Nakagawa, M., Nakamura, A., Nakashima, Y., Naoe, S., Nates-Parra, G., Navarrete Gutierrez, D.A., Navarro-Iriarte, L., Ndang'ang'a, P.K., Neuschulz, E.L., Ngai, J.T., Nicolas, V., Nilsson, S.G., Noreika, N., Norfolk, O., Noriega, J.A., Norton, D.A., Nöske, N.M., Nowakowski, A.J., Numa, C., O'Dea, N., O'Farrell, P.J., Oduro, W., Oertli, S., Ofori-Boateng, C., Oke, C.O., Oostra, V., Osgathorpe, L.M., Otavo, S.E., Page, N.V., Paritsis, J., Parra-H, A., Parry, L., Pe'er, G., Pearman, P.B., Pelegrin, N., Pélissier, R., Peres, C.A., Peri, P.L., Persson, A.S., Petanidou, T., Peters, M.K., Pethiyagoda, R.S., Phalan, B., Philips, T.K., Pillsbury, F.C., Pincheira-Ulbrich, J., Pineda, E., Pino, J., Pizarro-Araya, J., Plumptre, A. J., Poggio, S.L., Politi, N., Pons, P., Poveda, K., Power, E.F., Presley, S.J., Proença, V., Quaranta, M., Quintero, C., Rader, R., Ramesh, B.R., Ramirez-Pinilla, M.P., Ranganathan, J., Rasmussen, C., Redpath-Downing, N.A., Reid, J.L., Reis, Y.T., Rey Benayas, J.M., Rey-Velasco, J.C., Reynolds, C., Ribeiro, D.B., Richards, M.H., Richardson, B.A., Richardson, M.J., Ríos, R.M., Robinson, R., Robles, C.A., Römbke, J., Romero-Duque, L.P., Rös, M., Rosselli, L., Rossiter, S.J., Roth, D.S., Roulston, T.H., Rousseau, L., Rubio, A.V., Ruel, J.-C., Sadler, J.P., Sáfián, S., Saldaña-Vázquez, R.A., Sam, K., Samnegård, U., Santana, J., Santos, X., Savage, J., Schellhorn, N.A., Schilthuizen, M., Schmiedel, U., Schmitt, C.B., Schon, N.L., Schüepp, C., Schumann, K., Schweiger, O., Scott, D.M., Scott, K.A., Sedlock, J.L., Seefeldt, S.S., Shahabuddin, G., Shannon, G., Sheil, D., Sheldon, F.H., Shochat, E., Siebert, S.J., Silva, F.A.B., Simonetti, J.A., Slade, E.M., Smith, J., Smith-Pardo, A.H., Sodhi, N.S., Somarriba, E.J., Sosa, R.A., Soto Quiroga, G., St-Laurent, M.-H., Starzomski, B.M., Stefanescu, C., Steffan-Dewenter, I., Stouffer, P.C., Stout, J.C., Strauch, A.M., Struebig, M.J., Su, Z., Suarez-Rubio, M., Sugiura, S., Summerville, K.S., Sung, Y.-H., Sutrisno, H., Svenning, J.-C., Teder, T., Threlfall, C.G., Tiitsaar, A., Todd, J.H., Tonietto, R.K., Torre, I., Tóthmérész, B., Tscharntke, T., Turner, E.C., Tylianakis, J.M., Uehara-Prado, M., Urbina-Cardona, N., Vallan, D., Vanbergen, A.J., Vasconcelos, H.L., Vassilev, K., Verboven, H.A.F., Verdasca, M.J., Verdú, J.R., Vergara, C.H., Vergara, P.M., Verhulst, J., Virgilio, M., Vu, L.V., Waite, E.M., Walker, T.R., Wang, H.-F., Wang, Y., Watling, J.I., Weller, B., Wells, K., Westphal, C., Wiafe, E.D., Williams, C.D., Willig, M.R., Woinarski, J.C.Z., Wolf, J.H.D., Wolters, V., Woodcock, B.A., Wu, J., Wunderle, J.M., Yamaura, Y., Yoshikura, S., Yu, D.W., Zaitsev, A.S., Zeidler, J., Zou, F., Collen, B., Ewers, R.M., Mace, G.M., Purves, D.W., Scharlemann, J.P.W., Purvis, A., Hudson, L.N., Newbold, T., Contu, S., Hill, S.L.L., Lysenko, I., De Palma, A., Phillips, H.R.P., Alhusseini, T.I., Bedford, F.E., Bennett, D.J., Booth, H., Burton, V.J., Chng, C.W.T., Choimes, A., Correia, D.L.P., Day, J., Echeverría-Londoño, S., Emerson, S.R., Gao, D., Garon, M., Harrison, M.L.K., Ingram, D.J., Jung, M., Kemp, V., Kirkpatrick, L., Martin, C.D., Pan, Y., Pask-Hale, G.D., Pynegar, E.L., Robinson, A.N., Sanchez-Ortiz, K., Senior, R.A., Simmons, B.I., White, H.J., Zhang, H., Aben, J., Abrahamczyk, S., Adum, G.B., Aguilar-Barquero, V., Aizen, M.A., Albertos, B., Alcala, E.L., del Mar Alguacil, M., Alignier, A., Ancrenaz, M., Andersen, A.N., Arbeláez-Cortés, E., Armbrecht, I., Arroyo-Rodríguez, V., Aumann, T., Axmacher, J.C., Azhar, B., Azpiroz, A.B., Baeten, L., Bakayoko, A., Báldi, A., Banks, J.E., Baral, S.K., Barlow, J., Barratt, B.I.P., Barrico, L., Bartolommei, P., Barton, D.M., Basset, Y., Batáry, P., Bates, A.J., Baur, B., Bayne, E.M., Beja, P., Benedick, S., Berg, A., Bernard, H., Berry, N.J., Bhatt, D., Bicknell, J.E., Bihn, J.H., Blake, R.J., Bobo, K.S., Bóçon, R., Boekhout, T., Böhning-Gaese, K., Bonham, K.J., Borges, P.A.V., Borges, S.H., Boutin, C., Bouyer, J., Bragagnolo, C., Brandt, J.S., Brearley, F.Q., Brito, I., Bros, V., Brunet, J., Buczkowski, G., Buddle, C.M., Bugter, R., Buscardo, E., Buse, J., Cabra-García, J., Cáceres, N.C., Cagle, N.L., Calviño-Cancela, M., Cameron, S.A., Cancello, E.M., Caparrós, R., Cardoso, P., Carpenter, D., Carrijo, T.F., Carvalho, A.L., Cassano, C.R., Castro, H., Castro-Luna, A.A., Rolando, C.B., Cerezo, A., Chapman, K.A., Chauvat, M., Christensen, M., Clarke, F.M., Cleary, D.F.R., Colombo, G., Connop, S.P., Craig, M.D., Cruz-López, L., Cunningham, S.A., D'Aniello, B., D'Cruze, N., da Silva, P.G., Dallimer, M., Danquah, E.Y., Darvill, B., Dauber, J., Davis, A.L.V., Dawson, J., de Sassi, C., de Thoisy, B., Deheuvels, O., Dejean, A., Devineau, J.-L., Diekötter, T., Dolia, J.V., Domínguez, E., Dominguez-Haydar, Y., Dorn, S., Draper, I., Dreber, N., Dumont, B., Dures, S.G., Dynesius, M., Edenius, L., Eggleton, P., Eigenbrod, F., Elek, Z., Entling, M.H., Esler, K.J., de Lima, R.F., Faruk, A., Farwig, N., Fayle, T.M., Felicioli, A., Felton, A.M., Fensham, R.J., Fernandez, I.C., Ferreira, C.C., Ficetola, G.F., Fiera, C., Filgueiras, B.K.C., Fırıncıoğlu, H.K., Flaspohler, D., Floren, A., Fonte, S.J., Fournier, A., Fowler, R.E., Franzén, M., Fraser, L.H., Fredriksson, G.M., Freire, G.B., Frizzo, T.L.M., Fukuda, D., Furlani, D., Gaigher, R., Ganzhorn, J.U., García, K.P., Garcia-R, J.C., Garden, J.G., Garilleti, R., Ge, B.-M., Gendreau-Berthiaume, B., Gerard, P.J., Gheler-Costa, C., Gilbert, B., Giordani, P., Giordano, S., Golodets, C., Gomes, L.G.L., Gould, R.K., Goulson, D., Gove, A.D., Granjon, L., Grass, I., Gray, C.L., Grogan, J., Gu, W., Guardiola, M., Gunawardene, N.R., Gutierrez, A.G., Gutiérrez-Lamus, D.L., Haarmeyer, D.H., Hanley, M.E., Hanson, T., Hashim, N.R., Hassan, S.N., Hatfield, R.G., Hawes, J.E., Hayward, M.W., Hébert, C., Helden, A.J., Henden, J.-A., Henschel, P., Hernández, L., Herrera, J.P., Herrmann, F., Herzog, F., Higuera-Diaz, D., Hilje, B., Hofer, H., Hoffmann, A., Horgan, F.G., Hornung, E., Horváth, R., Hylander, K., Isaacs-Cubides, P., Ishida, H., Ishitani, M., Jacobs, C.T., Jaramillo, V.J., Jauker, B., Hernández, F.J., Johnson, M.F., Jolli, V., Jonsell, M., Juliani, S.N., Jung, T.S., Kapoor, V., Kappes, H., Kati, V., Katovai, E., Kellner, K., Kessler, M., Kirby, K.R., Kittle, A.M., Knight, M.E., Knop, E., Köhler, F., Koivula, M., Kolb, A., Kone, M., Kőrösi, Á., Krauss, J., Kumar, A., Kumar, R., Kurz, D.J., Kutt, A.S., Lachat, T., Lantschner, V., Lara, F., Lasky, J.R., Latta, S.C., Laurance, W.F., Lavelle, P., Le Féon, V., LeBuhn, G., Légaré, J.-P., Lehouck, V., Lencinas, M.V., Lentini, P.E., Letcher, S.G., Li, Q., Litchwark, S.A., Littlewood, N.A., Liu, Y., Lo-Man-Hung, N., López-Quintero, C.A., Louhaichi, M., Lövei, G.L., Lucas-Borja, M.E., Luja, V.H., Luskin, M.S., MacSwiney G, M.C., Maeto, K., Magura, T., Mallari, N.A., Malone, L.A., Malonza, P.K., Malumbres-Olarte, J., Mandujano, S., Måren, I.E., Marin-Spiotta, E., Marsh, C.J., Marshall, E.J.P., Martínez, E., Martínez Pastur, G., Moreno Mateos, D., Mayfield, M.M., Mazimpaka, V., McCarthy, J.L., McCarthy, K.P., McFrederick, Q.S., McNamara, S., Medina, N.G., Medina, R., Mena, J.L., Mico, E., Mikusinski, G., Milder, J.C., Miller, J.R., Miranda-Esquivel, D.R., Moir, M.L., Morales, C.L., Muchane, M.N., Muchane, M., Mudri-Stojnic, S., Munira, A.N., Muoñz-Alonso, A., Munyekenye, B.F., Naidoo, R., Naithani, A., Nakagawa, M., Nakamura, A., Nakashima, Y., Naoe, S., Nates-Parra, G., Navarrete Gutierrez, D.A., Navarro-Iriarte, L., Ndang'ang'a, P.K., Neuschulz, E.L., Ngai, J.T., Nicolas, V., Nilsson, S.G., Noreika, N., Norfolk, O., Noriega, J.A., Norton, D.A., Nöske, N.M., Nowakowski, A.J., Numa, C., O'Dea, N., O'Farrell, P.J., Oduro, W., Oertli, S., Ofori-Boateng, C., Oke, C.O., Oostra, V., Osgathorpe, L.M., Otavo, S.E., Page, N.V., Paritsis, J., Parra-H, A., Parry, L., Pe'er, G., Pearman, P.B., Pelegrin, N., Pélissier, R., Peres, C.A., Peri, P.L., Persson, A.S., Petanidou, T., Peters, M.K., Pethiyagoda, R.S., Phalan, B., Philips, T.K., Pillsbury, F.C., Pincheira-Ulbrich, J., Pineda, E., Pino, J., Pizarro-Araya, J., Plumptre, A. J., Poggio, S.L., Politi, N., Pons, P., Poveda, K., Power, E.F., Presley, S.J., Proença, V., Quaranta, M., Quintero, C., Rader, R., Ramesh, B.R., Ramirez-Pinilla, M.P., Ranganathan, J., Rasmussen, C., Redpath-Downing, N.A., Reid, J.L., Reis, Y.T., Rey Benayas, J.M., Rey-Velasco, J.C., Reynolds, C., Ribeiro, D.B., Richards, M.H., Richardson, B.A., Richardson, M.J., Ríos, R.M., Robinson, R., Robles, C.A., Römbke, J., Romero-Duque, L.P., Rös, M., Rosselli, L., Rossiter, S.J., Roth, D.S., Roulston, T.H., Rousseau, L., Rubio, A.V., Ruel, J.-C., Sadler, J.P., Sáfián, S., Saldaña-Vázquez, R.A., Sam, K., Samnegård, U., Santana, J., Santos, X., Savage, J., Schellhorn, N.A., Schilthuizen, M., Schmiedel, U., Schmitt, C.B., Schon, N.L., Schüepp, C., Schumann, K., Schweiger, O., Scott, D.M., Scott, K.A., Sedlock, J.L., Seefeldt, S.S., Shahabuddin, G., Shannon, G., Sheil, D., Sheldon, F.H., Shochat, E., Siebert, S.J., Silva, F.A.B., Simonetti, J.A., Slade, E.M., Smith, J., Smith-Pardo, A.H., Sodhi, N.S., Somarriba, E.J., Sosa, R.A., Soto Quiroga, G., St-Laurent, M.-H., Starzomski, B.M., Stefanescu, C., Steffan-Dewenter, I., Stouffer, P.C., Stout, J.C., Strauch, A.M., Struebig, M.J., Su, Z., Suarez-Rubio, M., Sugiura, S., Summerville, K.S., Sung, Y.-H., Sutrisno, H., Svenning, J.-C., Teder, T., Threlfall, C.G., Tiitsaar, A., Todd, J.H., Tonietto, R.K., Torre, I., Tóthmérész, B., Tscharntke, T., Turner, E.C., Tylianakis, J.M., Uehara-Prado, M., Urbina-Cardona, N., Vallan, D., Vanbergen, A.J., Vasconcelos, H.L., Vassilev, K., Verboven, H.A.F., Verdasca, M.J., Verdú, J.R., Vergara, C.H., Vergara, P.M., Verhulst, J., Virgilio, M., Vu, L.V., Waite, E.M., Walker, T.R., Wang, H.-F., Wang, Y., Watling, J.I., Weller, B., Wells, K., Westphal, C., Wiafe, E.D., Williams, C.D., Willig, M.R., Woinarski, J.C.Z., Wolf, J.H.D., Wolters, V., Woodcock, B.A., Wu, J., Wunderle, J.M., Yamaura, Y., Yoshikura, S., Yu, D.W., Zaitsev, A.S., Zeidler, J., Zou, F., Collen, B., Ewers, R.M., Mace, G.M., Purves, D.W., Scharlemann, J.P.W., and Purvis, A.
- Abstract
The PREDICTS project—Projecting Responses of Ecological Diversity In Changing Terrestrial Systems (www.predicts.org.uk)—has collated from published studies a large, reasonably representative database of comparable samples of biodiversity from multiple sites that differ in the nature or intensity of human impacts relating to land use. We have used this evidence base to develop global and regional statistical models of how local biodiversity responds to these measures. We describe and make freely available this 2016 release of the database, containing more than 3.2 million records sampled at over 26,000 locations and representing over 47,000 species. We outline how the database can help in answering a range of questions in ecology and conservation biology. To our knowledge, this is the largest and most geographically and taxonomically representative database of spatial comparisons of biodiversity that has been collated to date; it will be useful to researchers and international efforts wishing to model and understand the global status of biodiversity.
- Published
- 2016
24. Four-dimensional coronary artery motion analysis predicts the location of culprit lesions causing myocardial infarctions
- Author
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O’Loughlin, A., primary, French, J., additional, Richards, D., additional, Denniss, A., additional, Aben, J., additional, and Hennessy, A., additional
- Published
- 2015
- Full Text
- View/download PDF
25. The PREDICTS database: a global database of how local terrestrial biodiversity responds to human impacts
- Author
-
Hudson, LN, Newbold, T, Contu, S, Hill, SLL, Lysenko, I, De Palma, A, Phillips, HRP, Senior, RA, Bennett, DJ, Booth, H, Choimes, A, Correia, DLP, Day, J, Echeverria-Londono, S, Garon, M, Harrison, MLK, Ingram, DJ, Jung, M, Kemp, V, Kirkpatrick, L, Martin, CD, Pan, Y, White, HJ, Aben, J, Abrahamczyk, S, Adum, GB, Aguilar-Barquero, V, Aizen, MA, Ancrenaz, M, Arbelaez-Cortes, E, Armbrecht, I, Azhar, B, Azpiroz, AB, Baeten, L, Baldi, A, Banks, JE, Barlow, J, Batary, P, Bates, AJ, Bayne, EM, Beja, P, Berg, A, Berry, NJ, Bicknell, JE, Bihn, JH, Boehning-Gaese, K, Boekhout, T, Boutin, C, Bouyer, J, Brearley, FQ, Brito, I, Brunet, J, Buczkowski, G, Buscardo, E, Cabra-Garcia, J, Calvino-Cancela, M, Cameron, SA, Cancello, EM, Carrijo, TF, Carvalho, AL, Castro, H, Castro-Luna, AA, Cerda, R, Cerezo, A, Chauvat, M, Clarke, FM, Cleary, DFR, Connop, SP, D'Aniello, B, da Silva, PG, Darvill, B, Dauber, J, Dejean, A, Diekoetter, T, Dominguez-Haydar, Y, Dormann, CF, Dumont, B, Dures, SG, Dynesius, M, Edenius, L, Elek, Z, Entling, MH, Farwig, N, Fayle, TM, Felicioli, A, Felton, AM, Ficetola, GF, Filgueiras, BKC, Fonte, SJ, Fraser, LH, Fukuda, D, Furlani, D, Ganzhorn, JU, Garden, JG, Gheler-Costa, C, Giordani, P, Giordano, S, Gottschalk, MS, Goulson, D, Gove, AD, Grogan, J, Hanley, ME, Hanson, T, Hashim, NR, Hawes, JE, Hebert, C, Helden, AJ, Henden, J-A, Hernandez, L, Herzog, F, Higuera-Diaz, D, Hilje, B, Horgan, FG, Horvath, R, Hylander, K, Isaacs-Cubides, P, Ishitani, M, Jacobs, CT, Jaramillo, VJ, Jauker, B, Jonsell, M, Jung, TS, Kapoor, V, Kati, V, Katovai, E, Kessler, M, Knop, E, Kolb, A, Koroesi, A, Lachat, T, Lantschner, V, Le Feon, V, LeBuhn, G, Legare, J-P, Letcher, SG, Littlewood, NA, Lopez-Quintero, CA, Louhaichi, M, Loevei, GL, Lucas-Borja, ME, Luja, VH, Maeto, K, Magura, T, Mallari, NA, Marin-Spiotta, E, Marshall, EJP, Martinez, E, Mayfield, MM, Mikusinski, G, Milder, JC, Miller, JR, Morales, CL, Muchane, MN, Muchane, M, Naidoo, R, Nakamura, A, Naoe, S, Nates-Parra, G, Navarrete Gutierrez, DA, Neuschulz, EL, Noreika, N, Norfolk, O, Noriega, JA, Noeske, NM, O'Dea, N, Oduro, W, Ofori-Boateng, C, Oke, CO, Osgathorpe, LM, Paritsis, J, Parra-H, A, Pelegrin, N, Peres, CA, Persson, AS, Petanidou, T, Phalan, B, Philips, TK, Poveda, K, Power, EF, Presley, SJ, Proenca, V, Quaranta, M, Quintero, C, Redpath-Downing, NA, Reid, JL, Reis, YT, Ribeiro, DB, Richardson, BA, Richardson, MJ, Robles, CA, Roembke, J, Romero-Duque, LP, Rosselli, L, Rossiter, SJ, Roulston, TH, Rousseau, L, Sadler, JP, Safian, S, Saldana-Vazquez, RA, Samnegard, U, Schueepp, C, Schweiger, O, Sedlock, JL, Shahabuddin, G, Sheil, D, Silva, FAB, Slade, EM, Smith-Pardo, AH, Sodhi, NS, Somarriba, EJ, Sosa, RA, Stout, JC, Struebig, MJ, Sung, Y-H, Threlfall, CG, Tonietto, R, Tothmeresz, B, Tscharntke, T, Turner, EC, Tylianakis, JM, Vanbergen, AJ, Vassilev, K, Verboven, HAF, Vergara, CH, Vergara, PM, Verhulst, J, Walker, TR, Wang, Y, Watling, JI, Wells, K, Williams, CD, Willig, MR, Woinarski, JCZ, Wolf, JHD, Woodcock, BA, Yu, DW, Zaitsev, AS, Collen, B, Ewers, RM, Mace, GM, Purves, DW, Scharlemann, JPW, Purvis, A, Hudson, LN, Newbold, T, Contu, S, Hill, SLL, Lysenko, I, De Palma, A, Phillips, HRP, Senior, RA, Bennett, DJ, Booth, H, Choimes, A, Correia, DLP, Day, J, Echeverria-Londono, S, Garon, M, Harrison, MLK, Ingram, DJ, Jung, M, Kemp, V, Kirkpatrick, L, Martin, CD, Pan, Y, White, HJ, Aben, J, Abrahamczyk, S, Adum, GB, Aguilar-Barquero, V, Aizen, MA, Ancrenaz, M, Arbelaez-Cortes, E, Armbrecht, I, Azhar, B, Azpiroz, AB, Baeten, L, Baldi, A, Banks, JE, Barlow, J, Batary, P, Bates, AJ, Bayne, EM, Beja, P, Berg, A, Berry, NJ, Bicknell, JE, Bihn, JH, Boehning-Gaese, K, Boekhout, T, Boutin, C, Bouyer, J, Brearley, FQ, Brito, I, Brunet, J, Buczkowski, G, Buscardo, E, Cabra-Garcia, J, Calvino-Cancela, M, Cameron, SA, Cancello, EM, Carrijo, TF, Carvalho, AL, Castro, H, Castro-Luna, AA, Cerda, R, Cerezo, A, Chauvat, M, Clarke, FM, Cleary, DFR, Connop, SP, D'Aniello, B, da Silva, PG, Darvill, B, Dauber, J, Dejean, A, Diekoetter, T, Dominguez-Haydar, Y, Dormann, CF, Dumont, B, Dures, SG, Dynesius, M, Edenius, L, Elek, Z, Entling, MH, Farwig, N, Fayle, TM, Felicioli, A, Felton, AM, Ficetola, GF, Filgueiras, BKC, Fonte, SJ, Fraser, LH, Fukuda, D, Furlani, D, Ganzhorn, JU, Garden, JG, Gheler-Costa, C, Giordani, P, Giordano, S, Gottschalk, MS, Goulson, D, Gove, AD, Grogan, J, Hanley, ME, Hanson, T, Hashim, NR, Hawes, JE, Hebert, C, Helden, AJ, Henden, J-A, Hernandez, L, Herzog, F, Higuera-Diaz, D, Hilje, B, Horgan, FG, Horvath, R, Hylander, K, Isaacs-Cubides, P, Ishitani, M, Jacobs, CT, Jaramillo, VJ, Jauker, B, Jonsell, M, Jung, TS, Kapoor, V, Kati, V, Katovai, E, Kessler, M, Knop, E, Kolb, A, Koroesi, A, Lachat, T, Lantschner, V, Le Feon, V, LeBuhn, G, Legare, J-P, Letcher, SG, Littlewood, NA, Lopez-Quintero, CA, Louhaichi, M, Loevei, GL, Lucas-Borja, ME, Luja, VH, Maeto, K, Magura, T, Mallari, NA, Marin-Spiotta, E, Marshall, EJP, Martinez, E, Mayfield, MM, Mikusinski, G, Milder, JC, Miller, JR, Morales, CL, Muchane, MN, Muchane, M, Naidoo, R, Nakamura, A, Naoe, S, Nates-Parra, G, Navarrete Gutierrez, DA, Neuschulz, EL, Noreika, N, Norfolk, O, Noriega, JA, Noeske, NM, O'Dea, N, Oduro, W, Ofori-Boateng, C, Oke, CO, Osgathorpe, LM, Paritsis, J, Parra-H, A, Pelegrin, N, Peres, CA, Persson, AS, Petanidou, T, Phalan, B, Philips, TK, Poveda, K, Power, EF, Presley, SJ, Proenca, V, Quaranta, M, Quintero, C, Redpath-Downing, NA, Reid, JL, Reis, YT, Ribeiro, DB, Richardson, BA, Richardson, MJ, Robles, CA, Roembke, J, Romero-Duque, LP, Rosselli, L, Rossiter, SJ, Roulston, TH, Rousseau, L, Sadler, JP, Safian, S, Saldana-Vazquez, RA, Samnegard, U, Schueepp, C, Schweiger, O, Sedlock, JL, Shahabuddin, G, Sheil, D, Silva, FAB, Slade, EM, Smith-Pardo, AH, Sodhi, NS, Somarriba, EJ, Sosa, RA, Stout, JC, Struebig, MJ, Sung, Y-H, Threlfall, CG, Tonietto, R, Tothmeresz, B, Tscharntke, T, Turner, EC, Tylianakis, JM, Vanbergen, AJ, Vassilev, K, Verboven, HAF, Vergara, CH, Vergara, PM, Verhulst, J, Walker, TR, Wang, Y, Watling, JI, Wells, K, Williams, CD, Willig, MR, Woinarski, JCZ, Wolf, JHD, Woodcock, BA, Yu, DW, Zaitsev, AS, Collen, B, Ewers, RM, Mace, GM, Purves, DW, Scharlemann, JPW, and Purvis, A
- Abstract
Biodiversity continues to decline in the face of increasing anthropogenic pressures such as habitat destruction, exploitation, pollution and introduction of alien species. Existing global databases of species’ threat status or population time series are dominated by charismatic species. The collation of datasets with broad taxonomic and biogeographic extents, and that support computation of a range of biodiversity indicators, is necessary to enable better understanding of historical declines and to project – and avert – future declines. We describe and assess a new database of more than 1.6 million samples from 78 countries representing over 28,000 species, collated from existing spatial comparisons of local-scale biodiversity exposed to different intensities and types of anthropogenic pressures, from terrestrial sites around the world. The database contains measurements taken in 208 (of 814) ecoregions, 13 (of 14) biomes, 25 (of 35) biodiversity hotspots and 16 (of 17) megadiverse countries. The database contains more than 1% of the total number of all species described, and more than 1% of the described species within many taxonomic groups – including flowering plants, gymnosperms, birds, mammals, reptiles, amphibians, beetles, lepidopterans and hymenopterans. The dataset, which is still being added to, is therefore already considerably larger and more representative than those used by previous quantitative models of biodiversity trends and responses. The database is being assembled as part of the PREDICTS project (Projecting Responses of Ecological Diversity In Changing Terrestrial Systems – www.predicts.org.uk). We make site-level summary data available alongside this article. The full database will be publicly available in 2015.
- Published
- 2014
26. The PREDICTS database: a global database of how local terrestrial biodiversity responds to human impacts
- Author
-
Hudson, L.N., Newbold, T., Contu, S., Hill, S.L.L., Lysenko, I., De Palma, A., Phillips, H.R.P., Senior, R.A., Bennett, D.J., Booth, H., Choimes, A., Correia, D.L.P., Day, J., Echeverría-Londoño, S., Garon, M., Harrison, M.L.K., Ingram, D.J., Jung, M., Kemp, V., Kirkpatrick, L., Martin, C.D., Pan, Y., White, H.J., Aben, J., Abrahamczyk, S., Adum, G.B., Aguilar-Barquero, V., Aizen, M.A., Ancrenaz, M., Arbeláez-Cortés, E., Armbrecht, I., Azhar, B., Azpiroz, A.B., Baeten, L., Báldi, A., Banks, J.E., Barlow, J., Batáry, P., Bates, A.J., Bayne, E.M., Beja, P., Berg, Å., Berry, N.J., Bicknell, J.E., Bihn, J.H., Böhning-Gaese, K., Boekhout, T., Boutin, C., Bouyer, J., Brearley, F.Q., Brito, I., Brunet, J., Buczkowski, G., Buscardo, E., Cabra-García, J., Calviño-Cancela, M., Cameron, S.A., Cancello, E.M., Carrijo, T.F., Carvalho, A.L., Castro, H., Castro-Luna, A.A., Cerda, R., Cerezo, A., Chauvat, M., Clarke, F.M., Cleary, D.F.R., Connop, S.P., D'Aniello, B., da Silva, P.G., Darvill, B., Dauber, J., Dejean, A., Diekötter, T., Dominguez-Haydar, Y., Dumont, B., Dures, S.G., Dynesius, M., Edenius, L., Elek, Z., Entling, M.H., Farwig, N., Fayle, T.M., Felicioli, A., Felton, A.M., Ficetola, G.F., Filgueiras, B.K.C., Fonte, S.J., Fraser, L.H., Fukuda, D., Furlani, D., Ganzhorn, J.U., Garden, J.G., Gheler-Costa, C., Giordani, P., Giordano, S., Gottschalk, M.S., Goulson, D., Gove, A.D., Grogan, J., Hudson, L.N., Newbold, T., Contu, S., Hill, S.L.L., Lysenko, I., De Palma, A., Phillips, H.R.P., Senior, R.A., Bennett, D.J., Booth, H., Choimes, A., Correia, D.L.P., Day, J., Echeverría-Londoño, S., Garon, M., Harrison, M.L.K., Ingram, D.J., Jung, M., Kemp, V., Kirkpatrick, L., Martin, C.D., Pan, Y., White, H.J., Aben, J., Abrahamczyk, S., Adum, G.B., Aguilar-Barquero, V., Aizen, M.A., Ancrenaz, M., Arbeláez-Cortés, E., Armbrecht, I., Azhar, B., Azpiroz, A.B., Baeten, L., Báldi, A., Banks, J.E., Barlow, J., Batáry, P., Bates, A.J., Bayne, E.M., Beja, P., Berg, Å., Berry, N.J., Bicknell, J.E., Bihn, J.H., Böhning-Gaese, K., Boekhout, T., Boutin, C., Bouyer, J., Brearley, F.Q., Brito, I., Brunet, J., Buczkowski, G., Buscardo, E., Cabra-García, J., Calviño-Cancela, M., Cameron, S.A., Cancello, E.M., Carrijo, T.F., Carvalho, A.L., Castro, H., Castro-Luna, A.A., Cerda, R., Cerezo, A., Chauvat, M., Clarke, F.M., Cleary, D.F.R., Connop, S.P., D'Aniello, B., da Silva, P.G., Darvill, B., Dauber, J., Dejean, A., Diekötter, T., Dominguez-Haydar, Y., Dumont, B., Dures, S.G., Dynesius, M., Edenius, L., Elek, Z., Entling, M.H., Farwig, N., Fayle, T.M., Felicioli, A., Felton, A.M., Ficetola, G.F., Filgueiras, B.K.C., Fonte, S.J., Fraser, L.H., Fukuda, D., Furlani, D., Ganzhorn, J.U., Garden, J.G., Gheler-Costa, C., Giordani, P., Giordano, S., Gottschalk, M.S., Goulson, D., Gove, A.D., and Grogan, J.
- Abstract
Biodiversity continues to decline in the face of increasing anthropogenic pressures such as habitat destruction, exploitation, pollution and introduction of alien species. Existing global databases of species’ threat status or population time series are dominated by charismatic species. The collation of datasets with broad taxonomic and biogeographic extents, and that support computation of a range of biodiversity indicators, is necessary to enable better understanding of historical declines and to project – and avert – future declines. We describe and assess a new database of more than 1.6 million samples from 78 countries representing over 28,000 species, collated from existing spatial comparisons of local-scale biodiversity exposed to different intensities and types of anthropogenic pressures, from terrestrial sites around the world. The database contains measurements taken in 208 (of 814) ecoregions, 13 (of 14) biomes, 25 (of 35) biodiversity hotspots and 16 (of 17) megadiverse countries. The database contains more than 1% of the total number of all species described, and more than 1% of the described species within many taxonomic groups – including flowering plants, gymnosperms, birds, mammals, reptiles, amphibians, beetles, lepidopterans and hymenopterans. The dataset, which is still being added to, is therefore already considerably larger and more representative than those used by previous quantitative models of biodiversity trends and responses. The database is being assembled as part of the PREDICTS project (Projecting Responses of Ecological Diversity In Changing Terrestrial Systems – www.predicts.org.uk). We make site-level summary data available alongside this article. The full database will be publicly available in 2015.
- Published
- 2014
27. The PREDICTS database: a global database of how local terrestrial biodiversity responds to human impacts
- Author
-
Hudson, L., Newbold, T., Contu, S., Hill, S., Lysenko, I., De Palma, A., Phillips, H., Senior, R., Bennett, D., Booth, H., Choimes, A., Correia, D., Day, J., Echeverria-Londono, S., Garon, M., Harrison, M., Ingram, D., Jung, M., Kemp, V., Kirkpatrick, L., Martin, C., Pan, Y., White, H., Aben, J., Abrahamczyk, S., Adum, G., Aguilar-Barquero, V., Aizen, M., Ancrenaz, M., Arbelaez-Cortes, E., Armbrecht, I., Azhar, B., Azpiroz, A., Baeten, L., Baldi, A., Banks, J., Barlow, J., Batary, P., Bates, A., Bayne, E., Beja, P., Berg, A., Berry, N., Bicknell, J., Bihn, J., Bohning-Gaese, K., Boekhout, T., Boutin, C., Bouyer, J., Brearley, F., Brito, I., Brunet, J., Buczkowski, G., Buscardo, E., Cabra-Garcia, J., Calvino-Cancela, M., Cameron, S., cancello, E., Carrijo, T., carvalho, A., Castro, H., Castro-Luna, A., Cerda, R., Cerezo, A., Chauvat, M., Clarke, F., Cleary, D., Connop, S., D'Aniello, B., da Silva, P.G., Darvill, B., Dauber, J., Dejean, A., Diekotter, T., Dominguez-Haydar, Y., Dormann, C., Dumont, B., Dures, S., Dynesius, M., Edenius, L., Elek, Z., Entling, M., Farwig, N., Fayle, T., Felicioli, A., Felton, A., Ficetola, G., Filgueiras, B., Fonte, S., Fraser, L., Fukuda, D., Furlani, D., Ganzhorn, J., Garden, J., Gheler-Costa, C., Giordani, P., Giordano, S., Gottschalk, M., Goulson, D., Gove, Aaron, Grogan, J., Hanley, M., Hanson, T., Hashim, N., Hawes, J., Hebert, C., Helden, A., Henden, J., Hernandez, L., Herzog, F., Higuera-Diaz, D., Hilje, B., Horgan, F., Horvath, R., Hylander, K., Issacs-Cubides, P., Ishitani, M., Jacobs, C., Jaramillo, V., Jauker, B., Jonsell, M., Jung, T., Kapoor, V., Kati, V., Katovai, E., Kessler, M., Knop, E., Kolb, A., Korosi, A., Lachat, T., Lantschner, V., Le Feon, V., LeBuhn, G., Legare, J., Letcher, S., Littlewood, N., Lopez--Quintero, C., Louhaichi, M., Lovei, G., Lucas-Borja, M., Luja, V., Maeto, K., Magura, T., Mallari, N., Marin-Spiotta, E., Marshall, E., Martinez, E., Mayfield, M., Mikusinski, G., Milder, J., Miller, J., Morales, C., Muchane, M., Naidoo, R., Nakamura, A., Naoe, S., Nates-Parra, G., Navarrete Gutierrez, D., Neuschulz, E., Noreika, N., Norfolk, O., Noriega, J., Noske, N., O'Dea, N., Oduro, W., Ofori-Boateng, C., Oke, C., Osgathorpe, L., Paritsis, J., Parrah, A., Pelegrin, N., Peres, C., Persson, A., Petanidou, T., Phalan, B., Philips, T.K., Poveda, K., Power, E., Presley, S., Proenca, V., Quaranta, M., Quintero, C., Redpath-Downing, N., Reid, J.L., Reis, Y., Ribeiro, D., Richardson, B., Richardson, M., Robles, C., Rombke, J., Romero-Duque, L.P., Rosselli, L., Rossiter, S., Roulston, T., Rousseau, L., Sadler, J., Safian, S., Saldana-Vazquez, R., Samnegard, U., Schuepp, C., Schweiger, O., Sedlock, J., Shahabuddin, G., Sheil, D., Silva, F., Slade, E., Smith-Pardo, A., Sodhi, N., Somarriba, E., Sosa, R., Stout, J., Struebig, M., Sung, Y., Threlfall, C., Tonietto, R., Tothmeresz, B., Tscharntke, T., Turner, E., Tylianakis, J., Vanbergen, A., Vassilev, K., Verboven, H., Vergara, C., Vergara, P., Verhulst, J., Walker, T., Wang, Y., Watling, J., Wells, K., Williams, C., Willig, M., Woinarski, J., Wolf, J., Woodcock, B., Yu, D., Zaitsev, A., Collen, B., Ewers, R., Mace, G., Purves, D., Scharlemann, J., Purvis, A., Hudson, L., Newbold, T., Contu, S., Hill, S., Lysenko, I., De Palma, A., Phillips, H., Senior, R., Bennett, D., Booth, H., Choimes, A., Correia, D., Day, J., Echeverria-Londono, S., Garon, M., Harrison, M., Ingram, D., Jung, M., Kemp, V., Kirkpatrick, L., Martin, C., Pan, Y., White, H., Aben, J., Abrahamczyk, S., Adum, G., Aguilar-Barquero, V., Aizen, M., Ancrenaz, M., Arbelaez-Cortes, E., Armbrecht, I., Azhar, B., Azpiroz, A., Baeten, L., Baldi, A., Banks, J., Barlow, J., Batary, P., Bates, A., Bayne, E., Beja, P., Berg, A., Berry, N., Bicknell, J., Bihn, J., Bohning-Gaese, K., Boekhout, T., Boutin, C., Bouyer, J., Brearley, F., Brito, I., Brunet, J., Buczkowski, G., Buscardo, E., Cabra-Garcia, J., Calvino-Cancela, M., Cameron, S., cancello, E., Carrijo, T., carvalho, A., Castro, H., Castro-Luna, A., Cerda, R., Cerezo, A., Chauvat, M., Clarke, F., Cleary, D., Connop, S., D'Aniello, B., da Silva, P.G., Darvill, B., Dauber, J., Dejean, A., Diekotter, T., Dominguez-Haydar, Y., Dormann, C., Dumont, B., Dures, S., Dynesius, M., Edenius, L., Elek, Z., Entling, M., Farwig, N., Fayle, T., Felicioli, A., Felton, A., Ficetola, G., Filgueiras, B., Fonte, S., Fraser, L., Fukuda, D., Furlani, D., Ganzhorn, J., Garden, J., Gheler-Costa, C., Giordani, P., Giordano, S., Gottschalk, M., Goulson, D., Gove, Aaron, Grogan, J., Hanley, M., Hanson, T., Hashim, N., Hawes, J., Hebert, C., Helden, A., Henden, J., Hernandez, L., Herzog, F., Higuera-Diaz, D., Hilje, B., Horgan, F., Horvath, R., Hylander, K., Issacs-Cubides, P., Ishitani, M., Jacobs, C., Jaramillo, V., Jauker, B., Jonsell, M., Jung, T., Kapoor, V., Kati, V., Katovai, E., Kessler, M., Knop, E., Kolb, A., Korosi, A., Lachat, T., Lantschner, V., Le Feon, V., LeBuhn, G., Legare, J., Letcher, S., Littlewood, N., Lopez--Quintero, C., Louhaichi, M., Lovei, G., Lucas-Borja, M., Luja, V., Maeto, K., Magura, T., Mallari, N., Marin-Spiotta, E., Marshall, E., Martinez, E., Mayfield, M., Mikusinski, G., Milder, J., Miller, J., Morales, C., Muchane, M., Naidoo, R., Nakamura, A., Naoe, S., Nates-Parra, G., Navarrete Gutierrez, D., Neuschulz, E., Noreika, N., Norfolk, O., Noriega, J., Noske, N., O'Dea, N., Oduro, W., Ofori-Boateng, C., Oke, C., Osgathorpe, L., Paritsis, J., Parrah, A., Pelegrin, N., Peres, C., Persson, A., Petanidou, T., Phalan, B., Philips, T.K., Poveda, K., Power, E., Presley, S., Proenca, V., Quaranta, M., Quintero, C., Redpath-Downing, N., Reid, J.L., Reis, Y., Ribeiro, D., Richardson, B., Richardson, M., Robles, C., Rombke, J., Romero-Duque, L.P., Rosselli, L., Rossiter, S., Roulston, T., Rousseau, L., Sadler, J., Safian, S., Saldana-Vazquez, R., Samnegard, U., Schuepp, C., Schweiger, O., Sedlock, J., Shahabuddin, G., Sheil, D., Silva, F., Slade, E., Smith-Pardo, A., Sodhi, N., Somarriba, E., Sosa, R., Stout, J., Struebig, M., Sung, Y., Threlfall, C., Tonietto, R., Tothmeresz, B., Tscharntke, T., Turner, E., Tylianakis, J., Vanbergen, A., Vassilev, K., Verboven, H., Vergara, C., Vergara, P., Verhulst, J., Walker, T., Wang, Y., Watling, J., Wells, K., Williams, C., Willig, M., Woinarski, J., Wolf, J., Woodcock, B., Yu, D., Zaitsev, A., Collen, B., Ewers, R., Mace, G., Purves, D., Scharlemann, J., and Purvis, A.
- Abstract
Biodiversity continues to decline in the face of increasing anthropogenic pressures such as habitat destruction, exploitation, pollution and introduction of alien species. Existing global databases of species’ threat status or population time series are dominated by charismatic species. The collation of datasets with broad taxonomic and biogeographic extents, and that support computation ofa range of biodiversity indicators, is necessary to enable better understanding of historical declines and to project – and avert – future declines. We describe and assess a new database of more than 1.6 million samples from 78 countries representing over 28,000 species, collated from existing spatial comparisons of local-scale biodiversity exposed to different intensities and types of anthropogenic pressures, from terrestrial sites around the world. The database containsmeasurements taken in 208 (of 814) ecoregions, 13 (of 14) biomes, 25 (of 35) biodiversity hotspots and 16 (of 17) megadiverse countries. The database contains more than 1% of the total number of all species described, and more than 1% of the described species within many taxonomic groups – including flowering plants, gymnosperms, birds, mammals, reptiles, amphibians, beetles, lepidopterans and hymenopterans. The dataset, which is still being added to, is therefore already considerably larger and more representative than those used by previous quantitative models of biodiversity trends and responses. The database is being assembled as part of the PREDICTS project (Projecting Responses of Ecological Diversity In Changing Terrestrial Systems – www.predicts.org.uk).
- Published
- 2014
28. Effects of matrix composition and configuration on forest bird movements in a fragmented Afromontane biodiversity hot spot
- Author
-
Aben, J., primary, Adriaensen, F., additional, Thijs, K. W., additional, Pellikka, P., additional, Siljander, M., additional, Lens, L., additional, and Matthysen, E., additional
- Published
- 2012
- Full Text
- View/download PDF
29. Three-dimensional quantification of regional left-ventricular dyssynchrony by magnetic resonance imaging
- Author
-
Mischi, M., primary, Kaklidou, F., additional, Houthuizen, P., additional, Aben, J., additional, Prinzen, F. W., additional, Bracke, F., additional, van den Bosch, H., additional, and Korsten, H. H. M., additional
- Published
- 2011
- Full Text
- View/download PDF
30. LPS Binding Protein (LBP) and Serum Amyloid A (SAA) are released by human intestinal epithelial cells in response to cytokines
- Author
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Vreugdenhil, A. C.E., primary, Dentener, M. A., additional, Aben, J. A., additional, Greve, J. W.M., additional, and Buurman, W. A., additional
- Published
- 1998
- Full Text
- View/download PDF
31. Effects of low-level ozone exposure under ambient conditions on photosynthesis and stomatal control of Vicia faba L.
- Author
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ABEN, J. M. M., primary, JANSSEN-JURKOVICOVA, M., additional, and ADEMA, E. H., additional
- Published
- 1990
- Full Text
- View/download PDF
32. The French socialists confronted with the problem of arms exports.
- Author
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Aben, J.
- Published
- 1986
- Full Text
- View/download PDF
33. The database of the PREDICTS (Projecting Responses of Ecological Diversity In Changing Terrestrial Systems) project
- Author
-
Hudson, LN, Newbold, T, Contu, S, Hill, SLL, Lysenko, I, De Palma, A, Phillips, HRP, Alhusseini, TI, Bedford, FE, Bennett, DJ, Booth, H, Burton, VJ, Chng, CWT, Choimes, A, Correia, DLP, Day, J, Echeverría-Londoño, S, Emerson, SR, Gao, D, Garon, M, Harrison, MLK, Ingram, DJ, Jung, M, Kemp, V, Kirkpatrick, L, Martin, CD, Pan, Y, Pask-Hale, GD, Pynegar, EL, Robinson, AN, Sanchez-Ortiz, K, Senior, RA, Simmons, BI, White, HJ, Zhang, H, Aben, J, Abrahamczyk, S, Adum, GB, Aguilar-Barquero, V, Aizen, MA, Albertos, B, Alcala, EL, del Mar Alguacil, M, Alignier, A, Ancrenaz, M, Andersen, AN, Arbeláez-Cortés, E, Armbrecht, I, Arroyo-Rodríguez, V, Aumann, T, Axmacher, JC, Azhar, B, Azpiroz, AB, Baeten, L, Bakayoko, A, Báldi, A, Banks, JE, Baral, SK, Barlow, J, Barratt, BIP, Barrico, L, Bartolommei, P, Barton, DM, Basset, Y, Batáry, P, Bates, AJ, Baur, B, Bayne, EM, Beja, P, Benedick, S, Berg, Å, Bernard, H, Berry, NJ, Bhatt, D, Bicknell, JE, Bihn, JH, Blake, RJ, Bobo, KS, Bóçon, R, and Williams, CD
- Subjects
GE ,QH - Abstract
The PREDICTS project-Projecting Responses of Ecological Diversity In Changing Terrestrial Systems (www.predicts.org.uk)-has collated from published studies a large, reasonably representative database of comparable samples of biodiversity from multiple sites that differ in the nature or intensity of human impacts relating to land use. We have used this evidence base to develop global and regional statistical models of how local biodiversity responds to these measures. We describe and make freely available this 2016 release of the database, containing more than 3.2 million records sampled at over 26,000 locations and representing over 47,000 species. We outline how the database can help in answering a range of questions in ecology and conservation biology. To our knowledge, this is the largest and most geographically and taxonomically representative database of spatial comparisons of biodiversity that has been collated to date; it will be useful to researchers and international efforts wishing to model and understand the global status of biodiversity. © 2016 Published by John Wiley & Sons Ltd.
34. Are the sotmata of closed in the dark?
- Author
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Aben, J., primary, Thiel, F., additional, and Biekestein, A., additional
- Published
- 1989
- Full Text
- View/download PDF
35. The new French military reserve and the test of overseas operations
- Author
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Aben, Jacques
- Subjects
RESERVE FORCES - Army - France ,RECRUITING AND ENLISTMENT - Army - France - Abstract
tab bibliog
- Published
- 2008
36. Are the sotmata of [formula omitted] closed in the dark?
- Author
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Aben, J., Thiel, F., and Biekestein, A.
- Published
- 1989
- Full Text
- View/download PDF
37. Integrating learning into animal range dynamics under rapid human-induced environmental change.
- Author
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Aben J, Travis JMJ, Van Dyck H, and Vanwambeke SO
- Subjects
- Animals, Humans, Biological Evolution, Climate Change, Ecosystem
- Abstract
Human-induced rapid environmental change (HIREC) is creating environments deviating considerably from natural habitats in which species evolved. Concurrently, climate warming is pushing species' climatic envelopes to geographic regions that offer novel ecological conditions. The persistence of species is likely affected by the interplay between the degree of ecological novelty and phenotypic plasticity, which in turn may shape an organism's range-shifting ability. Current modelling approaches that forecast animal ranges are characterized by a static representation of the relationship between habitat use and fitness, which may bias predictions under conditions imposed by HIREC. We argue that accounting for dynamic species-resource relationships can increase the ecological realism of range shift predictions. Our rationale builds on the concepts of ecological fitting, the process whereby individuals form successful novel biotic associations based on the suite of traits they carry at the time of encountering the novel condition, and behavioural plasticity, in particular learning. These concepts have revolutionized our view on fitness in novel ecological settings, and the way these processes may influence species ranges under HIREC. We have integrated them into a model of range expansion as a conceptual proof of principle highlighting the potentially substantial role of learning ability in range shifts under HIREC., (© 2024 John Wiley & Sons Ltd.)
- Published
- 2024
- Full Text
- View/download PDF
38. Comparison Between Deltascan Single Channel Electroencephalography (EEG), Confusion Assessment Method-Intensive Care Unit (CAM-ICU) Score and Clinical Assessment in Diagnosing Delirium in Intubated Patients in the Intensive Care Unit.
- Author
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Aben J, Pouwels S, and Oldenbeuving A
- Abstract
Background The aim of this article is to assess the feasibility of using single-channel electroencephalography (EEG) measurement for detecting delirium in intubated Intensive care (ICU) patients and to assess the level of agreement between the EEG measurements, the CAM-ICU score and the clinical diagnosis of delirium. Materials and methods This study was an exploratory pilot between May 2021 and September 2021 including intubated patients in the ICU. For this study the Prolira
® (Arnhem, The Netherlands) Deltascan single-channel EEG was used and compared with the Confusion Assessment Method (CAM)-ICU and the clinical diagnosis of delirium by ICU physicians. Results In total 23 patients were found eligible for this study, of which 20 were included in the final analysis. The patients mean age was 63.0 ± 8.8 years, and the majority (thirteen) was male (65%). In total 17 of the 20 patients (85%) received the diagnosis delirium by the medical team. There were no statistically significant differences between the Deltascan and CAM-ICU measurements in diagnosing delirium per time point (p values respectively 0.21; 0.90; 0.34; 0.11; 0.056 and 0.091). AUCs for the agreement between the CAM-ICU and the Deltascan measurements were respectively: 0.676 ± 0.205; 0.333 ± 0.224; 0.402 ± 0.146; 0.488 ± 0.202; 0.06 ± 0.077 and 0.06 ± 0.109 (all p>0.05). AUCs for the level of agreement between the clinical diagnosis delirium and Deltascan were: 0.676 ± 0.152; 0.686 ± 0.146; 0.711 ± 0.132; 0.688 ± 0.136; 0.500 ± 0.158 and 0.700 ± 0.211 (all p>0.05). Conclusion In this exploratory study, we showed that there is no statistical agreement between CAM-ICU and Delta scan measurements. Secondly, there is a higher agreement, although not statistically significant between the clinical diagnoses of a delirium (by a clinician) with the Deltascan measurements. Despite this small study we think that the Deltascan can be of additional value in intubated ICU patients and therefore larger studies are needed to substantiate our findings., Competing Interests: The authors have declared that no competing interests exist., (Copyright © 2022, Aben et al.)- Published
- 2022
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39. What you see is where you go: visibility influences movement decisions of a forest bird navigating a three-dimensional-structured matrix.
- Author
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Aben J, Signer J, Heiskanen J, Pellikka P, and Travis JMJ
- Subjects
- Animals, Forests, Movement, Trees, Birds, Ecosystem
- Abstract
Animal spatial behaviour is often presumed to reflect responses to visual cues. However, inference of behaviour in relation to the environment is challenged by the lack of objective methods to identify the information that effectively is available to an animal from a given location. In general, animals are assumed to have unconstrained information on the environment within a detection circle of a certain radius (the perceptual range; PR). However, visual cues are only available up to the first physical obstruction within an animal's PR, making information availability a function of an animal's location within the physical environment (the effective visual perceptual range; EVPR). By using LiDAR data and viewshed analysis, we modelled forest birds' EVPRs at each step along a movement path. We found that the EVPR was on average 0.063% that of an unconstrained PR and, by applying a step-selection analysis, that individuals are 1.55 times more likely to move to a tree within their EVPR than to an equivalent tree outside it. This demonstrates that behavioural choices can be substantially impacted by the characteristics of an individual's EVPR and highlights that inferences made from movement data may be improved by accounting for the EVPR.
- Published
- 2021
- Full Text
- View/download PDF
40. The database of the PREDICTS (Projecting Responses of Ecological Diversity In Changing Terrestrial Systems) project.
- Author
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Hudson LN, Newbold T, Contu S, Hill SL, Lysenko I, De Palma A, Phillips HR, Alhusseini TI, Bedford FE, Bennett DJ, Booth H, Burton VJ, Chng CW, Choimes A, Correia DL, Day J, Echeverría-Londoño S, Emerson SR, Gao D, Garon M, Harrison ML, Ingram DJ, Jung M, Kemp V, Kirkpatrick L, Martin CD, Pan Y, Pask-Hale GD, Pynegar EL, Robinson AN, Sanchez-Ortiz K, Senior RA, Simmons BI, White HJ, Zhang H, Aben J, Abrahamczyk S, Adum GB, Aguilar-Barquero V, Aizen MA, Albertos B, Alcala EL, Del Mar Alguacil M, Alignier A, Ancrenaz M, Andersen AN, Arbeláez-Cortés E, Armbrecht I, Arroyo-Rodríguez V, Aumann T, Axmacher JC, Azhar B, Azpiroz AB, Baeten L, Bakayoko A, Báldi A, Banks JE, Baral SK, Barlow J, Barratt BI, Barrico L, Bartolommei P, Barton DM, Basset Y, Batáry P, Bates AJ, Baur B, Bayne EM, Beja P, Benedick S, Berg Å, Bernard H, Berry NJ, Bhatt D, Bicknell JE, Bihn JH, Blake RJ, Bobo KS, Bóçon R, Boekhout T, Böhning-Gaese K, Bonham KJ, Borges PA, Borges SH, Boutin C, Bouyer J, Bragagnolo C, Brandt JS, Brearley FQ, Brito I, Bros V, Brunet J, Buczkowski G, Buddle CM, Bugter R, Buscardo E, Buse J, Cabra-García J, Cáceres NC, Cagle NL, Calviño-Cancela M, Cameron SA, Cancello EM, Caparrós R, Cardoso P, Carpenter D, Carrijo TF, Carvalho AL, Cassano CR, Castro H, Castro-Luna AA, Rolando CB, Cerezo A, Chapman KA, Chauvat M, Christensen M, Clarke FM, Cleary DF, Colombo G, Connop SP, Craig MD, Cruz-López L, Cunningham SA, D'Aniello B, D'Cruze N, da Silva PG, Dallimer M, Danquah E, Darvill B, Dauber J, Davis AL, Dawson J, de Sassi C, de Thoisy B, Deheuvels O, Dejean A, Devineau JL, Diekötter T, Dolia JV, Domínguez E, Dominguez-Haydar Y, Dorn S, Draper I, Dreber N, Dumont B, Dures SG, Dynesius M, Edenius L, Eggleton P, Eigenbrod F, Elek Z, Entling MH, Esler KJ, de Lima RF, Faruk A, Farwig N, Fayle TM, Felicioli A, Felton AM, Fensham RJ, Fernandez IC, Ferreira CC, Ficetola GF, Fiera C, Filgueiras BK, Fırıncıoğlu HK, Flaspohler D, Floren A, Fonte SJ, Fournier A, Fowler RE, Franzén M, Fraser LH, Fredriksson GM, Freire GB Jr, Frizzo TL, Fukuda D, Furlani D, Gaigher R, Ganzhorn JU, García KP, Garcia-R JC, Garden JG, Garilleti R, Ge BM, Gendreau-Berthiaume B, Gerard PJ, Gheler-Costa C, Gilbert B, Giordani P, Giordano S, Golodets C, Gomes LG, Gould RK, Goulson D, Gove AD, Granjon L, Grass I, Gray CL, Grogan J, Gu W, Guardiola M, Gunawardene NR, Gutierrez AG, Gutiérrez-Lamus DL, Haarmeyer DH, Hanley ME, Hanson T, Hashim NR, Hassan SN, Hatfield RG, Hawes JE, Hayward MW, Hébert C, Helden AJ, Henden JA, Henschel P, Hernández L, Herrera JP, Herrmann F, Herzog F, Higuera-Diaz D, Hilje B, Höfer H, Hoffmann A, Horgan FG, Hornung E, Horváth R, Hylander K, Isaacs-Cubides P, Ishida H, Ishitani M, Jacobs CT, Jaramillo VJ, Jauker B, Hernández FJ, Johnson MF, Jolli V, Jonsell M, Juliani SN, Jung TS, Kapoor V, Kappes H, Kati V, Katovai E, Kellner K, Kessler M, Kirby KR, Kittle AM, Knight ME, Knop E, Kohler F, Koivula M, Kolb A, Kone M, Kőrösi Á, Krauss J, Kumar A, Kumar R, Kurz DJ, Kutt AS, Lachat T, Lantschner V, Lara F, Lasky JR, Latta SC, Laurance WF, Lavelle P, Le Féon V, LeBuhn G, Légaré JP, Lehouck V, Lencinas MV, Lentini PE, Letcher SG, Li Q, Litchwark SA, Littlewood NA, Liu Y, Lo-Man-Hung N, López-Quintero CA, Louhaichi M, Lövei GL, Lucas-Borja ME, Luja VH, Luskin MS, MacSwiney G MC, Maeto K, Magura T, Mallari NA, Malone LA, Malonza PK, Malumbres-Olarte J, Mandujano S, Måren IE, Marin-Spiotta E, Marsh CJ, Marshall EJ, Martínez E, Martínez Pastur G, Moreno Mateos D, Mayfield MM, Mazimpaka V, McCarthy JL, McCarthy KP, McFrederick QS, McNamara S, Medina NG, Medina R, Mena JL, Mico E, Mikusinski G, Milder JC, Miller JR, Miranda-Esquivel DR, Moir ML, Morales CL, Muchane MN, Muchane M, Mudri-Stojnic S, Munira AN, Muoñz-Alonso A, Munyekenye BF, Naidoo R, Naithani A, Nakagawa M, Nakamura A, Nakashima Y, Naoe S, Nates-Parra G, Navarrete Gutierrez DA, Navarro-Iriarte L, Ndang'ang'a PK, Neuschulz EL, Ngai JT, Nicolas V, Nilsson SG, Noreika N, Norfolk O, Noriega JA, Norton DA, Nöske NM, Nowakowski AJ, Numa C, O'Dea N, O'Farrell PJ, Oduro W, Oertli S, Ofori-Boateng C, Oke CO, Oostra V, Osgathorpe LM, Otavo SE, Page NV, Paritsis J, Parra-H A, Parry L, Pe'er G, Pearman PB, Pelegrin N, Pélissier R, Peres CA, Peri PL, Persson AS, Petanidou T, Peters MK, Pethiyagoda RS, Phalan B, Philips TK, Pillsbury FC, Pincheira-Ulbrich J, Pineda E, Pino J, Pizarro-Araya J, Plumptre AJ, Poggio SL, Politi N, Pons P, Poveda K, Power EF, Presley SJ, Proença V, Quaranta M, Quintero C, Rader R, Ramesh BR, Ramirez-Pinilla MP, Ranganathan J, Rasmussen C, Redpath-Downing NA, Reid JL, Reis YT, Rey Benayas JM, Rey-Velasco JC, Reynolds C, Ribeiro DB, Richards MH, Richardson BA, Richardson MJ, Ríos RM, Robinson R, Robles CA, Römbke J, Romero-Duque LP, Rös M, Rosselli L, Rossiter SJ, Roth DS, Roulston TH, Rousseau L, Rubio AV, Ruel JC, Sadler JP, Sáfián S, Saldaña-Vázquez RA, Sam K, Samnegård U, Santana J, Santos X, Savage J, Schellhorn NA, Schilthuizen M, Schmiedel U, Schmitt CB, Schon NL, Schüepp C, Schumann K, Schweiger O, Scott DM, Scott KA, Sedlock JL, Seefeldt SS, Shahabuddin G, Shannon G, Sheil D, Sheldon FH, Shochat E, Siebert SJ, Silva FA, Simonetti JA, Slade EM, Smith J, Smith-Pardo AH, Sodhi NS, Somarriba EJ, Sosa RA, Soto Quiroga G, St-Laurent MH, Starzomski BM, Stefanescu C, Steffan-Dewenter I, Stouffer PC, Stout JC, Strauch AM, Struebig MJ, Su Z, Suarez-Rubio M, Sugiura S, Summerville KS, Sung YH, Sutrisno H, Svenning JC, Teder T, Threlfall CG, Tiitsaar A, Todd JH, Tonietto RK, Torre I, Tóthmérész B, Tscharntke T, Turner EC, Tylianakis JM, Uehara-Prado M, Urbina-Cardona N, Vallan D, Vanbergen AJ, Vasconcelos HL, Vassilev K, Verboven HA, Verdasca MJ, Verdú JR, Vergara CH, Vergara PM, Verhulst J, Virgilio M, Vu LV, Waite EM, Walker TR, Wang HF, Wang Y, Watling JI, Weller B, Wells K, Westphal C, Wiafe ED, Williams CD, Willig MR, Woinarski JC, Wolf JH, Wolters V, Woodcock BA, Wu J, Wunderle JM Jr, Yamaura Y, Yoshikura S, Yu DW, Zaitsev AS, Zeidler J, Zou F, Collen B, Ewers RM, Mace GM, Purves DW, Scharlemann JP, and Purvis A
- Abstract
The PREDICTS project-Projecting Responses of Ecological Diversity In Changing Terrestrial Systems (www.predicts.org.uk)-has collated from published studies a large, reasonably representative database of comparable samples of biodiversity from multiple sites that differ in the nature or intensity of human impacts relating to land use. We have used this evidence base to develop global and regional statistical models of how local biodiversity responds to these measures. We describe and make freely available this 2016 release of the database, containing more than 3.2 million records sampled at over 26,000 locations and representing over 47,000 species. We outline how the database can help in answering a range of questions in ecology and conservation biology. To our knowledge, this is the largest and most geographically and taxonomically representative database of spatial comparisons of biodiversity that has been collated to date; it will be useful to researchers and international efforts wishing to model and understand the global status of biodiversity.
- Published
- 2016
- Full Text
- View/download PDF
41. The importance of realistic dispersal models in conservation planning: application of a novel modelling platform to evaluate management scenarios in an Afrotropical biodiversity hotspot.
- Author
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Aben J, Bocedi G, Palmer SC, Pellikka P, Strubbe D, Hallmann C, Travis JM, Lens L, and Matthysen E
- Abstract
As biodiversity hotspots are often characterized by high human population densities, implementation of conservation management practices that focus only on the protection and enlargement of pristine habitats is potentially unrealistic. An alternative approach to curb species extinction risk involves improving connectivity among existing habitat patches. However, evaluation of spatially explicit management strategies is challenging, as predictive models must account for the process of dispersal, which is difficult in terms of both empirical data collection and modelling.Here, we use a novel, individual-based modelling platform that couples demographic and mechanistic dispersal models to evaluate the effectiveness of realistic management scenarios tailored to conserve forest birds in a highly fragmented biodiversity hotspot. Scenario performance is evaluated based on the spatial population dynamics of a well-studied forest bird species.The largest population increase was predicted to occur under scenarios increasing habitat area. However, the effectiveness was sensitive to spatial planning. Compared to adding one large patch to the habitat network, adding several small patches yielded mixed benefits: although overall population sizes increased, specific newly created patches acted as dispersal sinks, which compromised population persistence in some existing patches. Increasing matrix connectivity by the creation of stepping stones is likely to result in enhanced dispersal success and occupancy of smaller patches. Synthesis and applications . We show that the effectiveness of spatial management is strongly driven by patterns of individual dispersal across landscapes. For species conservation planning, we advocate the use of models that incorporate adequate realism in demography and, particularly, in dispersal behaviours.
- Published
- 2016
- Full Text
- View/download PDF
42. The PREDICTS database: a global database of how local terrestrial biodiversity responds to human impacts.
- Author
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Hudson LN, Newbold T, Contu S, Hill SL, Lysenko I, De Palma A, Phillips HR, Senior RA, Bennett DJ, Booth H, Choimes A, Correia DL, Day J, Echeverría-Londoño S, Garon M, Harrison ML, Ingram DJ, Jung M, Kemp V, Kirkpatrick L, Martin CD, Pan Y, White HJ, Aben J, Abrahamczyk S, Adum GB, Aguilar-Barquero V, Aizen MA, Ancrenaz M, Arbeláez-Cortés E, Armbrecht I, Azhar B, Azpiroz AB, Baeten L, Báldi A, Banks JE, Barlow J, Batáry P, Bates AJ, Bayne EM, Beja P, Berg Å, Berry NJ, Bicknell JE, Bihn JH, Böhning-Gaese K, Boekhout T, Boutin C, Bouyer J, Brearley FQ, Brito I, Brunet J, Buczkowski G, Buscardo E, Cabra-García J, Calviño-Cancela M, Cameron SA, Cancello EM, Carrijo TF, Carvalho AL, Castro H, Castro-Luna AA, Cerda R, Cerezo A, Chauvat M, Clarke FM, Cleary DF, Connop SP, D'Aniello B, da Silva PG, Darvill B, Dauber J, Dejean A, Diekötter T, Dominguez-Haydar Y, Dormann CF, Dumont B, Dures SG, Dynesius M, Edenius L, Elek Z, Entling MH, Farwig N, Fayle TM, Felicioli A, Felton AM, Ficetola GF, Filgueiras BK, Fonte SJ, Fraser LH, Fukuda D, Furlani D, Ganzhorn JU, Garden JG, Gheler-Costa C, Giordani P, Giordano S, Gottschalk MS, Goulson D, Gove AD, Grogan J, Hanley ME, Hanson T, Hashim NR, Hawes JE, Hébert C, Helden AJ, Henden JA, Hernández L, Herzog F, Higuera-Diaz D, Hilje B, Horgan FG, Horváth R, Hylander K, Isaacs-Cubides P, Ishitani M, Jacobs CT, Jaramillo VJ, Jauker B, Jonsell M, Jung TS, Kapoor V, Kati V, Katovai E, Kessler M, Knop E, Kolb A, Kőrösi Á, Lachat T, Lantschner V, Le Féon V, LeBuhn G, Légaré JP, Letcher SG, Littlewood NA, López-Quintero CA, Louhaichi M, Lövei GL, Lucas-Borja ME, Luja VH, Maeto K, Magura T, Mallari NA, Marin-Spiotta E, Marshall EJ, Martínez E, Mayfield MM, Mikusinski G, Milder JC, Miller JR, Morales CL, Muchane MN, Muchane M, Naidoo R, Nakamura A, Naoe S, Nates-Parra G, Navarrete Gutierrez DA, Neuschulz EL, Noreika N, Norfolk O, Noriega JA, Nöske NM, O'Dea N, Oduro W, Ofori-Boateng C, Oke CO, Osgathorpe LM, Paritsis J, Parra-H A, Pelegrin N, Peres CA, Persson AS, Petanidou T, Phalan B, Philips TK, Poveda K, Power EF, Presley SJ, Proença V, Quaranta M, Quintero C, Redpath-Downing NA, Reid JL, Reis YT, Ribeiro DB, Richardson BA, Richardson MJ, Robles CA, Römbke J, Romero-Duque LP, Rosselli L, Rossiter SJ, Roulston TH, Rousseau L, Sadler JP, Sáfián S, Saldaña-Vázquez RA, Samnegård U, Schüepp C, Schweiger O, Sedlock JL, Shahabuddin G, Sheil D, Silva FA, Slade EM, Smith-Pardo AH, Sodhi NS, Somarriba EJ, Sosa RA, Stout JC, Struebig MJ, Sung YH, Threlfall CG, Tonietto R, Tóthmérész B, Tscharntke T, Turner EC, Tylianakis JM, Vanbergen AJ, Vassilev K, Verboven HA, Vergara CH, Vergara PM, Verhulst J, Walker TR, Wang Y, Watling JI, Wells K, Williams CD, Willig MR, Woinarski JC, Wolf JH, Woodcock BA, Yu DW, Zaitsev AS, Collen B, Ewers RM, Mace GM, Purves DW, Scharlemann JP, and Purvis A
- Abstract
Biodiversity continues to decline in the face of increasing anthropogenic pressures such as habitat destruction, exploitation, pollution and introduction of alien species. Existing global databases of species' threat status or population time series are dominated by charismatic species. The collation of datasets with broad taxonomic and biogeographic extents, and that support computation of a range of biodiversity indicators, is necessary to enable better understanding of historical declines and to project - and avert - future declines. We describe and assess a new database of more than 1.6 million samples from 78 countries representing over 28,000 species, collated from existing spatial comparisons of local-scale biodiversity exposed to different intensities and types of anthropogenic pressures, from terrestrial sites around the world. The database contains measurements taken in 208 (of 814) ecoregions, 13 (of 14) biomes, 25 (of 35) biodiversity hotspots and 16 (of 17) megadiverse countries. The database contains more than 1% of the total number of all species described, and more than 1% of the described species within many taxonomic groups - including flowering plants, gymnosperms, birds, mammals, reptiles, amphibians, beetles, lepidopterans and hymenopterans. The dataset, which is still being added to, is therefore already considerably larger and more representative than those used by previous quantitative models of biodiversity trends and responses. The database is being assembled as part of the PREDICTS project (Projecting Responses of Ecological Diversity In Changing Terrestrial Systems - http://www.predicts.org.uk). We make site-level summary data available alongside this article. The full database will be publicly available in 2015.
- Published
- 2014
- Full Text
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43. Three-dimensional quantification of regional left-ventricular dyssynchrony by magnetic resonance imaging.
- Author
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Mischi M, Kaklidou F, Houthuizen P, Aben JP, Prinzen FW, Bracke F, van den Bosch H, and Korsten HH
- Subjects
- Humans, Heart Ventricles physiopathology, Magnetic Resonance Imaging methods
- Abstract
Heart failure accounts for over five million patients in the United States alone. Many of them present dyssynchronous left ventricular (LV) contraction, whose treatment by cardiac resynchronization therapy (CRT) is until now guided by electrocardiographic analysis. One third of the selected patients, however, does not respond to the therapy. Aiming at improving the response rate, recent studies showed the importance of left bundle branch block (LBBB) configurations. Therefore, in order to detect motion patterns that relate to LBBB, this paper presents a novel method for three-dimensional quantification of regional LV mechanical dyssynchrony. LV wall-motion analysis is performed on magnetic resonance imaging (MRI) cines segmented by commercial software. Mutual delays between endocardial wall motion in different LV regions are estimated by cross correlation followed by phase difference analysis in frequency domain, achieving unlimited time resolution. Rather than focusing on the systolic phase, the full cardiac cycle is used to estimate the contraction timing. The method was successfully validated against MRI tagging in five dogs before and after LBBB induction. Preliminary validation in humans with 10 LBBB patients and 7 healthy subjects showed the method feasibility and reproducibility, with sensitivity and specificity in LBBB detection equal to 95.1% and 99.4%, respectively.
- Published
- 2011
- Full Text
- View/download PDF
44. Song divergence by sensory drive in Amazonian birds.
- Author
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Tobias JA, Aben J, Brumfield RT, Derryberry EP, Halfwerk W, Slabbekoorn H, and Seddon N
- Subjects
- Acoustic Stimulation, Animals, Birds classification, Phenotype, Selection, Genetic, Species Specificity, Stochastic Processes, Adaptation, Physiological, Biological Evolution, Birds physiology, Ecology, Vocalization, Animal physiology
- Abstract
Visual signals are shaped by variation in the signaling environment through a process termed sensory drive, sometimes leading to speciation. However, the evidence for sensory drive in acoustic signals is restricted to comparisons between highly dissimilar habitats, or single-species studies in which it is difficult to rule out the influence of undetected ecological variables, pleiotropic effects, or chance. Here we assess whether this form of sensory drive-often termed "acoustic adaptation"-can generate signal divergence across ecological gradients. By studying avian communities in two Amazonian forest types, we show that songs of 17 "bamboo-specialist" bird species differ in predictable ways from their nearest relatives in adjacent terra firme forest. We also demonstrate that the direction of song divergence is correlated with the sound transmission properties of habitats, rather than with genetic divergence, ambient noise, or pleiotropic effects of mass and bill size. Our findings indicate that acoustic adaptation adds significantly to stochastic processes underlying song divergence, even when comparing between habitats with relatively similar structure. Furthermore, given that song differences potentially contribute to reproductive isolation, these findings are consistent with a wider role for sensory drive in the diversification of lineages with acoustic mating signals., (© 2010 The Author(s). Journal compilation © 2010 The Society for the Study of Evolution.)
- Published
- 2010
- Full Text
- View/download PDF
45. Genetic predisposition for glomerulonephritis-induced glomerulosclerosis in rats is linked to chromosome 1.
- Author
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Ijpelaar DH, Schulz A, Aben J, van der Wal A, Bruijn JA, Kreutz R, and de Heer E
- Subjects
- Animals, Disease Models, Animal, Female, Genetic Linkage, Glomerulonephritis complications, Glomerulosclerosis, Focal Segmental etiology, Glomerulosclerosis, Focal Segmental pathology, Kidney Glomerulus pathology, Male, Mesangial Cells pathology, Phenotype, Quantitative Trait Loci, Rats, Rats, Inbred Lew, Rats, Inbred Strains, Chromosomes, Mammalian genetics, Genetic Predisposition to Disease, Glomerulonephritis genetics, Glomerulosclerosis, Focal Segmental genetics
- Abstract
Genetic factors influence renal disease progression, and several loci have been linked to the spontaneous development of proteinuria and glomerulosclerosis in animal models. However, the role of genetic susceptibility in glomerulonephritis-induced progressive glomerulosclerosis is unknown. In a rat model of mesangial proliferative glomerulonephritis, anti-Thy-1 glomerulonephritis (antiThy1GN), Lewis/Maastricht (Lew/Maa) rats exhibit progression to glomerulosclerosis, whereas in genetically related Lewis/Møllegard (Lew/Moll) rats, glomerular lesions are repaired within 3 wk. The genetic factors underlying this strain-related difference are not known. To identify novel quantitative trait loci (QTL) involved in progression or repair in Lewis rats, 145 female backcross rats [F1(Lew/Maa x Lew/Moll) x Lew/Maa] were studied. After induction of antiThy1GN proteinuria, we determined mesangial activation, the percentage of microaneurysms, and the glomerular damage score for each animal; a genome scan using 187 microsatellite markers was performed. QTL mapping revealed a significant QTL for glomerular damage score on chromosome 1 with a logarithm of odds (LOD) score of 3.9. Homozygosity for Lew/Maa DNA in this region was associated with a higher percentage of damaged glomeruli on day 21. Furthermore, suggestive linkage was found for the percentage of glomeruli with microaneurysms on day 3 on chromosome 1, 6, and 11; for mesangial activation on day 7 on chromosome 18, while proteinuria was suggestively linked to chromosome 5 (day 0), 4 (day 3), and 6 (day 7). This study identifies a QTL on rat chromosome 1 that is significantly linked to progressive glomerulosclerosis after acute glomerulonephritis.
- Published
- 2008
- Full Text
- View/download PDF
46. Genetic studies in neural tube defects. NTD Collaborative Group.
- Author
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Melvin EC, George TM, Worley G, Franklin A, Mackey J, Viles K, Shah N, Drake CR, Enterline DS, McLone D, Nye J, Oakes WJ, McLaughlin C, Walker ML, Peterson P, Brei T, Buran C, Aben J, Ohm B, Bermans I, Qumsiyeh M, Vance J, Pericak-Vance MA, and Speer MC
- Subjects
- Animals, Chromosome Aberrations genetics, Chromosome Disorders, Cohort Studies, Folic Acid metabolism, Genetic Linkage, Humans, Neural Tube Defects etiology, Neural Tube Defects metabolism, Risk Factors, Genetic Techniques, Neural Tube Defects genetics
- Abstract
Neural tube defects (NTD) are one of the most common birth defects and are caused by both environmental and genetic factors. The approach to identifying the genes predisposing to NTD, through linkage analysis and candidate gene analysis, is reviewed along with characteristics of a large, nationally ascertained cohort of families. Results from specific assessments of p53, PAX3 and MTHFR failed to suggest that these genes play a major role in NTD development in these families. Advances in genetic laboratory and statistical techniques have made this a prime opportunity for investigation into the causes of complex disorders, such as NTD. However, traditional approaches may prove to be challenging due to the difficulty of ascertaining samplable multiplex families., (Copyright 2000 S. Karger AG, Basel)
- Published
- 2000
- Full Text
- View/download PDF
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