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1. Clean air policy under the UNECE Convention on long-range transboundary air pollution: how are monitoring results 'translated' to policy action

Author

Johannessen T

Subjects
Air pollution, Convention LRTAP, Monitoring, Critical loads, Forestry, SD1-669.5
Abstract

Concerning clean air policy, under the convention on long-range transboundary air pollution, the following themes are discussed: the history of observed effects; the public awareness and concern for the ecosystem health; the current scientific evidence; the development of the critical load concept, and its application for an effects-based abatement policy.

Published
2009
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5. Participatory Design of Public Sector Services

Author

Hartman, Alan, Jain, Anshu N., Ramanathan, Jay, Ramfos, Antonis, Van der Heuvel, Willem-Jan, Zirpins, Christian, Tai, Stefan, Charalabidis, Yannis, Pasic, A., Johannessen, T., Grønsund, T., Andersen, Kim Normann, editor, Francesconi, Enrico, editor, Grönlund, Åke, editor, and van Engers, Tom M., editor

Published
2010
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11. Talking about quality: how ‘quality’ is conceptualized in nursing homes and homecare

Author

Aase, I. (Ingunn), Ree, E. (Eline), Johannessen, T. (Terese), Strømme, T. (Torunn), Ullebust, B. (Berit), Holen‑Rabbersvik, E. (Elisabeth), Thomsen, L.H. (Line Hurup), Schibevaag, L. (Lene), Bovenkamp, H.M. (Hester) van de, Wiig, S. (Siri), Aase, I. (Ingunn), Ree, E. (Eline), Johannessen, T. (Terese), Strømme, T. (Torunn), Ullebust, B. (Berit), Holen‑Rabbersvik, E. (Elisabeth), Thomsen, L.H. (Line Hurup), Schibevaag, L. (Lene), Bovenkamp, H.M. (Hester) van de, and Wiig, S. (Siri)

Abstract

Background: The delivery of high-quality service in nursing homes and homecare requires collaboration and shared understanding among managers, employees, users and policy makers from across the healthcare system. However, conceptualizing healthcare professionals’ perception of quality beyond hospital settings (e.g., its perspectives, defining attributes, quality dimensions, contextual factors, dilemmas) has rarely been done. This study therefore explores the meaning of “quality” among healthcare managers and staff in nursing homes and homecare. Methods: The study applies a cross-sectional qualitative design with focus groups and individual interviews, to capture both depth and breadth of conceptualization of quality from healthcare professionals in nursing homes and homecare. We draw our data from 65 managers and staff in nursing homes and homecare services in Norway and the Netherlands. The participants worked as managers (n = 40), registered nurses (RNs) or assistant nurses (n = 25). Results: The analysis identified the two categories and four sub-categories: “Professional issues: more than firefighting” (subcategories “professional pride” and “competence”) and “patient-centered approach: more than covering basic needs” (subcategories “dignity” and “continuity”). Quality in nursing homes and homecare is conceptualized as an ongoing process based on having the “right competence,” good cooperation across professional groups, and patient-centered care, in line with professional pride and dignity for the patients. Conclusion: Based on the understanding of quality among the healthcare professionals in our study, quality should encompass the softer dimensions of professional pride and competence, as well as a patient-centered approach to care. These dimensions should be factors in improvement activities and in daily practice.

Published
2021
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13. Exploring challenges in quality and safety work in nursing homes and home care

Author

Johannessen, T. (Terese), Ree, E. (Eline), Aase, I. (Ingunn), Bal, R.A. (Roland), Wiig, S. (Siri), Johannessen, T. (Terese), Ree, E. (Eline), Aase, I. (Ingunn), Bal, R.A. (Roland), and Wiig, S. (Siri)

Abstract

BACKGROUND: Management, culture and systems for better quality and patient safety in hospitals have been widely studied in Norway. Nursing homes and home care, however have received much less attention. An increasing number of people need health services in nursing homes and at home, and the services are struggling with fragmentation of care, discontinuity and restricted resource availability. The aim of the study was to explore the current challenges in quality and safety work as perceived by managers and employees in nursing homes and home care services. METHOD: The study is a multiple explorative case study of two nursing homes and two home care services in Norway. Managers and employees participated in focus groups and individual interviews. The data material was analyzed using directed content analysis guided by the theoretical framework 'Organizing for Quality', focusing on the work needed to meet quality and safety challenges. RESULTS: Challenges in quality and safety work were interrelated and depended on many factors. In addition, they often implied trade-offs for both managers and employees. Managers struggled to maintain continuity of care due to sick leave and continuous external-facilitated change processes. Employees struggled with heavier workloads and fewer resources, resulting in less time with patients and poorer quality of patient care. The increased external pressure affected the possibility to work towards engagement and culture for improvement, and to maintain quality and safety as a collective effort at managerial and employee levels. CONCLUSION: Despite contextual differences due to the structure, s

Published
2020
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14. Products from a surface ocean CO2 reference network, SOCONET

Author

Wanninkhof, R., Bakker, D. C. E., Pfeil, B., Smith, K., Hankin, S., Alin, S. R., Cosca, C., Harasawa, S., Kozyr, A., Nojiri, Y., O'Brien, K., Telszewski, M., Tilbrook, B., Wada, C., Akl, J., Barbero, L., Bates, N. R., Boutin, J., Bozec, Y., Cai, W. J., Castle, R. D., Chavez, F. P., Chen, L., Chierici, M., Currie, K., De Baar, H. J. W., Evans, W., Feely, R. A., Fransson, A., Gao, Z., Hales, B., Hardman-Mountford, N. J., Hoppema, Mario, Huang, W.J., Hunt, C. W., Huss, B., Ichikawa, T., Johannessen, T., Jones, E. M., Jones, S. D., Jutterström, S., Kitidis, V., Körtzinger, A., Landschützer, P., Lauvset, S. K., Lefevre, N., Manke, A., Mathis, J. T., Merlivat, L., Metzl, N., Murata, A., Monteiro, P., Newberger, T., Omar, A. M., Ono, T., Park, G. H., Paterson, K., Pierrot, D., Rios, A. F., Sabine, C. L., Saito, S., Salisbury, J., Sarma, V. V. S. S., Schlitzer, Reiner, Sieger, Rainer, Skjelvan, I., Steinhoff, T., Sullivan, K. F., Sun, H., Sutton, A.J., Suzuki, T., Sweeney, C., Takahashi, T., Tjiputra, J., Tsurushima, N., Van Heuven, S. M. A. C., Vandemark, D., Vlahos, P., Wallace, D. W. R., Watson, A., Pickers, P. A., Olsen, A., Stephens, B.B., Munro, D., Rehder, G., Santana-Casiano, J. M., Müller, J. D., Trianes, J., Tedesco, K., Ishii, M., González-Dávila, M., Suntharalingam, P., Nakaoka, S.-i., Schuster, U., Wanninkhof, R., Bakker, D. C. E., Pfeil, B., Smith, K., Hankin, S., Alin, S. R., Cosca, C., Harasawa, S., Kozyr, A., Nojiri, Y., O'Brien, K., Telszewski, M., Tilbrook, B., Wada, C., Akl, J., Barbero, L., Bates, N. R., Boutin, J., Bozec, Y., Cai, W. J., Castle, R. D., Chavez, F. P., Chen, L., Chierici, M., Currie, K., De Baar, H. J. W., Evans, W., Feely, R. A., Fransson, A., Gao, Z., Hales, B., Hardman-Mountford, N. J., Hoppema, Mario, Huang, W.J., Hunt, C. W., Huss, B., Ichikawa, T., Johannessen, T., Jones, E. M., Jones, S. D., Jutterström, S., Kitidis, V., Körtzinger, A., Landschützer, P., Lauvset, S. K., Lefevre, N., Manke, A., Mathis, J. T., Merlivat, L., Metzl, N., Murata, A., Monteiro, P., Newberger, T., Omar, A. M., Ono, T., Park, G. H., Paterson, K., Pierrot, D., Rios, A. F., Sabine, C. L., Saito, S., Salisbury, J., Sarma, V. V. S. S., Schlitzer, Reiner, Sieger, Rainer, Skjelvan, I., Steinhoff, T., Sullivan, K. F., Sun, H., Sutton, A.J., Suzuki, T., Sweeney, C., Takahashi, T., Tjiputra, J., Tsurushima, N., Van Heuven, S. M. A. C., Vandemark, D., Vlahos, P., Wallace, D. W. R., Watson, A., Pickers, P. A., Olsen, A., Stephens, B.B., Munro, D., Rehder, G., Santana-Casiano, J. M., Müller, J. D., Trianes, J., Tedesco, K., Ishii, M., González-Dávila, M., Suntharalingam, P., Nakaoka, S.-i., and Schuster, U.

Published
2020

15. A Carbon-budget for the north-west European shelf - limitations and uncertainties

Author

Kitidis, V., Shutler, J. D., Ashton, I., Warren, M., Brown, I., Findlay, H., Hartman, S.E., Sander, R., Humphreys, M., Kivimäe, C., Greenwood, N., Hull, T., Pearce, D., McGrath, T., Stewart, B.M., Walsham, P., McGovern, E., Bozec, Y., Gac, J.-P., Marrec, P., van Heuven, S. M. A. C., Hoppema, Mario, Schuster, U., Johannessen, T., Omar, A., Lauvset, S., Skjelvan, I., Olsen, A., Steinhoff, T., Körtzinger, A., Becker, M., Lefevre, N., Diverrès, D., Gkritzalis, T., Catrijsse, A., Petersen, W., Voynova, Y. G., Chapron, B., Grouazel, A., Land, P.E., Sharples, J., Nightingale, P. D., Kitidis, V., Shutler, J. D., Ashton, I., Warren, M., Brown, I., Findlay, H., Hartman, S.E., Sander, R., Humphreys, M., Kivimäe, C., Greenwood, N., Hull, T., Pearce, D., McGrath, T., Stewart, B.M., Walsham, P., McGovern, E., Bozec, Y., Gac, J.-P., Marrec, P., van Heuven, S. M. A. C., Hoppema, Mario, Schuster, U., Johannessen, T., Omar, A., Lauvset, S., Skjelvan, I., Olsen, A., Steinhoff, T., Körtzinger, A., Becker, M., Lefevre, N., Diverrès, D., Gkritzalis, T., Catrijsse, A., Petersen, W., Voynova, Y. G., Chapron, B., Grouazel, A., Land, P.E., Sharples, J., and Nightingale, P. D.

Published
2020

18. Participatory Design of Public Sector Services

Author

Hartman, Alan, primary, Jain, Anshu N., additional, Ramanathan, Jay, additional, Ramfos, Antonis, additional, Van der Heuvel, Willem-Jan, additional, Zirpins, Christian, additional, Tai, Stefan, additional, Charalabidis, Yannis, additional, Pasic, A., additional, Johannessen, T., additional, and Grønsund, T., additional

Published
2010
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23. Contributor contact details

Author

Walker, Gavin, primary, Ekins, Paul, additional, Bellaby, Paul, additional, Somerday, B.P., additional, Marchi, C. San, additional, Dedrick, Daniel E., additional, Hauback, Bjørn C., additional, Ross, D.K., additional, Gray, Evan, additional, Íñiguez, Jorge, additional, Anderson, Paul A., additional, Bénard, Pierre, additional, Chahine, Richard, additional, Lin, Xiang, additional, Jia, Junhua, additional, Champness, Neil R., additional, Chandra, Dhanesh, additional, Grant, D., additional, Jensen, Craig, additional, Wang, Y, additional, Chou, Mei-Yin, additional, Nakamori, Y., additional, Orimo, S., additional, Gregory, Duncan H., additional, Ichikawa, Masaru, additional, Vegge, Tejs, additional, Sørensen, R.Z., additional, Klerke, A., additional, Hummelshøj, J.S., additional, Johannessen, T., additional, Nørskov, J.K., additional, and Christensen, C.H., additional

Published
2008
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26. The OACE (Ocean Abyssal Carbon Experiment) Research Project

Author

Kojima, R., primary, Aya, I., additional, Yamane, K., additional, Namie, S., additional, Nakajima, Y., additional, Shirota, H., additional, Brewer, P.G., additional, Peltzer, E.T., additional, Haugan, P.M., additional, Johannessen, T., additional, and Bellerby, R.G.J., additional

Published
2004
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27. Wintertime CO Variability in the Subpolar North Atlantic Since 2004

Author

Fröb, F., Olsen, A., Becker, M., Chafik, L., Johannessen, T., Reverdin, G., and Omar, A.

Subjects
010504 meteorology & atmospheric sciences, Surface ocean, Atmospheric forcing, 010502 geochemistry & geophysics, Atmospheric sciences, 01 natural sciences, Carbon cycle, Salinity, chemistry.chemical_compound, Geophysics, chemistry, 13. Climate action, Carbon dioxide, Dissolved organic carbon, General Earth and Planetary Sciences, Environmental science, Fugacity, 14. Life underwater, Growth rate, 0105 earth and related environmental sciences
Abstract

Winter data of surface ocean temperature (SST), salinity (SSS) and CO2 fugacity (fCO(2)) collected on the VOS M/V Nuka Arctica in the subpolar North Atlantic between 2004 and 2017 are used to establish trends, drivers, and interannual variability. Over the period, waters cooled and freshened, and the fCO(2) increased at a rate similar to the atmospheric CO2 growth rate. When accounting for the freshening, the inferred increase in dissolved inorganic carbon (DIC) was found to be approximately twice that expected from atmospheric CO2 alone. This is attributed to the cooling. In the Irminger Sea, fCO(2) exhibited additional interannual variations driven by atmospheric forcing through winter mixing. As winter fCO(2) in the region is close to the atmospheric, the subpolar North Atlantic has varied between being slightly supersaturated and slightly undersaturated over the investigated period.

Published
2019
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32. Wintertime fCO(2) Variability in the Subpolar North Atlantic Since 2004

Author

Frob, F., Olsen, A., Becker, M., Chafik, Léon, Johannessen, T., Reverdin, G., Omar, A., Frob, F., Olsen, A., Becker, M., Chafik, Léon, Johannessen, T., Reverdin, G., and Omar, A.

Abstract

Winter data of surface ocean temperature (SST), salinity (SSS) and CO2 fugacity (fCO(2)) collected on the VOS M/V Nuka Arctica in the subpolar North Atlantic between 2004 and 2017 are used to establish trends, drivers, and interannual variability. Over the period, waters cooled and freshened, and the fCO(2) increased at a rate similar to the atmospheric CO2 growth rate. When accounting for the freshening, the inferred increase in dissolved inorganic carbon (DIC) was found to be approximately twice that expected from atmospheric CO2 alone. This is attributed to the cooling. In the Irminger Sea, fCO(2) exhibited additional interannual variations driven by atmospheric forcing through winter mixing. As winter fCO(2) in the region is close to the atmospheric, the subpolar North Atlantic has varied between being slightly supersaturated and slightly undersaturated over the investigated period. Plain Language Summary The global oceans take up roughly a quarter of carbon dioxide (CO2) from fossil fuels and industry per year. As the emissions of CO2 increase, the amount of CO2 taken up by the oceans should increase in proportion; however, the ability of the ocean to remove CO2 from the atmosphere varies on interannual to decadal time scales. Here we assess processes that drive short-term variability and long-term trends of the subpolar North Atlantic carbon sink based on observational data obtained during winters between 2004 and 2017. We find that the subpolar North Atlantic has indeed kept pace with rising emissions over the entire period of time, which was mainly attributed to solubility-driven uptake of CO2. Year-to-year changes of the surface ocean partial pressure of CO2 can be linked to the depth of the winter mixed layer as well as atmospheric forcing. In general, the North Atlantic has shifted between a small source and a small sink of atmospheric CO2 during wintertime. Our results underline the need to maintain long-term physical, chemical, and biological observatio

Published
2019
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33. Designing and pilot testing of a leadership intervention to improve quality and safety in nursing homes and home care (the SAFE-LEAD intervention)

Author

Johannessen, T. (Terese), Ree, E. (Eline), Strømme, T. (Torunn), Aase, I. (Ingunn), Bal, R.A. (Roland), Wiig, S. (Siri), Johannessen, T. (Terese), Ree, E. (Eline), Strømme, T. (Torunn), Aase, I. (Ingunn), Bal, R.A. (Roland), and Wiig, S. (Siri)

Abstract

Objective To describe the design of a leadership intervention for nursing home and home care, including a leadership guide for managers to use in their quality and safety improvement work. The paper reports results from the pilot test of the intervention and describes the final intervention programme. Design Qualitative design, using the participation of stakeholders. Methods The leadership guide and intervention were designed in collaboration with researchers, coresearchers and managers in nursing homes and home care organisations, through workshops and focus group interviews. The pilot test consisted of three workshops with managers working on the leadership guide, facilitated and observed by researchers, and evaluated by means of observation and focus group interviews with the participants. The analysis combined the integration of data from interviews and observations with directed content analysis. Setting Norwegian nursing homes and home care services. Participants Managers at different levels in three nursing homes and two home care services, coresearche

Published
2019
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34. How to deal with context? A context-mapping tool for quality and safety in nursing homes and homecare (SAFE-LEAD Context)

Author

Wiig, S. (Siri), Aase, K. (Karina), Johannessen, T. (Terese), Holen‑Rabbersvik, E. (Elisabeth), Hurup Thomsen, L. (Line), Bovenkamp, H.M. (Hester) van de, Bal, R.A. (Roland), Ree, E. (Eline), Wiig, S. (Siri), Aase, K. (Karina), Johannessen, T. (Terese), Holen‑Rabbersvik, E. (Elisabeth), Hurup Thomsen, L. (Line), Bovenkamp, H.M. (Hester) van de, Bal, R.A. (Roland), and Ree, E. (Eline)

Abstract

__Objective:__ The objective of this paper is to develop a context‑mapping tool (SAFE‑LEAD Context) adapted to the nursing home and homecare setting. These two contexts represent a substantial variability, but studies focusing on the types and roles of contextual factors in quality and safety in these care settings are lacking. __Results:__ We conducted a step‑wise collaborative design process consisting of mapping of key contextual factors as perceived by managers in Norwegian nursing homes and homecare, then created a draft tool discussed in a consor‑ tium workshop with co‑researchers, and ran an international cross‑country comparison. The SAFE‑LEAD Context tool is inspired by the Consolidated Framework for Implementation Research (CFIR). The tool incorporates factors describ‑ ing the outer setting of nursing homes and homecare at the national and local levels, in addition to factors describing the inner setting. The tool is flexible yet more detailed than current frameworks and capable of grading and describ‑ ing the included contextual factors over time in the nursing home and homecare settings. A systematic approach using the SAFE‑LEAD Context tool will support and improve the understanding and evaluation of quality and safety improvement interventions.

Published
2019
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35. Constraining the oceanic uptake and fluxes of greenhouse gases by building an ocean network of certified stations: the ocean component of the Integrated Carbon Observation System, ICOS-Oceans

Author

Steinhoff, T., Gkritzalis, T., Lauvset, S.K., Jones, S., Schuster, U., Olsen, A., Becker, M., Bozzano, R., Brunetti, F., Cantoni, C., Cardin, V., Diverrès, D., Fiedler, B., Fransson, A., Giani, M., Hartman, S., Hoppema, Mario, Jeansson, E., Johannessen, T., Kitidis, V., Körtzinger, A., Landa, C., Lefèvre, N., Luchetta, A., Naudts, L., Nightingale, P.D., Omar, A., Pensieri, S., Pfeil, B., Castaño-Primo, R., Rehder, G., Rutgersson, A., Sanders, R., Schewe, Ingo, Siena, G., Skjelvan, I., Soltwedel, Thomas, van Heuven, S., Watson, A., Steinhoff, T., Gkritzalis, T., Lauvset, S.K., Jones, S., Schuster, U., Olsen, A., Becker, M., Bozzano, R., Brunetti, F., Cantoni, C., Cardin, V., Diverrès, D., Fiedler, B., Fransson, A., Giani, M., Hartman, S., Hoppema, Mario, Jeansson, E., Johannessen, T., Kitidis, V., Körtzinger, A., Landa, C., Lefèvre, N., Luchetta, A., Naudts, L., Nightingale, P.D., Omar, A., Pensieri, S., Pfeil, B., Castaño-Primo, R., Rehder, G., Rutgersson, A., Sanders, R., Schewe, Ingo, Siena, G., Skjelvan, I., Soltwedel, Thomas, van Heuven, S., and Watson, A.

Published
2019

36. Winter weather controls net influx of atmospheric CO2 on the north-west European shelf

Author

Kitidis, V., Shutler, J. D., Ashton, I., Warren, M., Brown, I., Findlay, H., Hartman, S.E., Sanders, R., Humphreys, M., Kivimäe, C., Greenwood, N., Hull, T., Pearce, D., McGrath, T., Stewart, B.M., Walsham, P., McGovern, E., Bozec, Y., Gac, J.-P., van Heuven, S., Hoppema, Mario, Schuster, U., Johannessen, T., Omar, A., Lauvset, S.K., Skjelvan, I., Olsen, A., Steinhoff, T., Körtzinger, A., Becker, M., Lefrèvre, N., Diverrès, D., Gkritzalis, T., Catrijsse, A., Petersen, W., Voynova, Y., Chapron, B., Grouazel, A., Land, P.E., Sharples, J., Nightingale, P. D., Kitidis, V., Shutler, J. D., Ashton, I., Warren, M., Brown, I., Findlay, H., Hartman, S.E., Sanders, R., Humphreys, M., Kivimäe, C., Greenwood, N., Hull, T., Pearce, D., McGrath, T., Stewart, B.M., Walsham, P., McGovern, E., Bozec, Y., Gac, J.-P., van Heuven, S., Hoppema, Mario, Schuster, U., Johannessen, T., Omar, A., Lauvset, S.K., Skjelvan, I., Olsen, A., Steinhoff, T., Körtzinger, A., Becker, M., Lefrèvre, N., Diverrès, D., Gkritzalis, T., Catrijsse, A., Petersen, W., Voynova, Y., Chapron, B., Grouazel, A., Land, P.E., Sharples, J., and Nightingale, P. D.

Published
2019

41. Sea-surface CO2 fugacity in the subpolar North Atlantic

Author

Are Olsen, Brown, Kr, Chierici, M., Johannessen, T., and Neill, C.

Abstract

We present the first year-long subpolar trans-Atlantic set of surface seawater CO2 fugacity (fCO2sw) data. The data were obtained aboard the MV Nuka Arctica in 2005 and provide a quasi-continuous picture of the fCO2sw variability between Denmark and Greenland. Complementary real-time high-resolution data of surface chlorophyll-a (chl-a) concentrations and mixed layer depth (MLD) estimates have been collocated with the fCO2sw data. Off-shelf fCO2sw data exhibit a pronounced seasonal cycle. In winter, surface waters are saturated to slightly supersaturated over a wide range of temperatures. Through spring and summer, fCO2sw decreases by approximately 60 μatm, due to biological carbon consumption, which is not fully counteracted by the fCO2sw increase due to summer warming. The changes are synchronous with changes in chl-a concentrations and MLD, both of which are exponentially correlated with fCO2sw in off-shelf regions.

Published
2018

42. Spatiotemporal variations of fCO2 in the North Sea

Author

Omar, Am, Are Olsen, Johannessen, T., Hoppema, M., Thomas, H., and Borges, Av

Abstract

Data from two Voluntary Observing Ship (VOS) (2005–2007) augmented with data subsets from ten cruises (1987–2005) were used to investigate the spatiotemporal variations of the CO2 fugacity in seawater (fCO2sw) in the North Sea at seasonal and inter-annual time scales. The observed seasonal fCO2sw variations were related to variations in sea surface temperature (SST), biology plus mixing, and air-sea CO2 exchange. Over the study period, the seasonal amplitude in fCO2sw induced by SST changes was 0.4–0.75 times those resulting from variations in biology plus mixing. Along a meridional transect, fCO2sw normally decreased northwards (−12 μatm per degree latitude), but the gradient disappeared/reversed during spring as a consequence of an enhanced seasonal amplitude of fCO2sw in southern parts of the North Sea. Along a zonal transect, a weak gradient (−0.8 μatm per degree longitude) was observed in the annual mean fCO2sw. Annually and averaged over the study area, surface waters of the North Sea were CO2 undersaturated and, thus, a sink of atmospheric CO2. However, during summer, surface waters in the region 55.5–54.5° N were CO2 supersaturated and, hence, a source for atmospheric CO2. Comparison of fCO2sw data acquired within two 1°×1° regions in the northern and southern North Sea during different years (1987, 2001, 2002, and 2005–2007) revealed large interannual variations, especially during spring and summer when year-to-year fCO2sw differences (≈160–200 μatm) approached seasonal changes (≈200–250 μatm). The springtime variations resulted from changes in magnitude and timing of the phytoplankton bloom, whereas changes in SST, wind speed and total alkalinity may have contributed to the summertime interannual fCO2sw differences. The lowest interannual variation (10–50 μatm) was observed during fall and early winter. Comparison with data reported in October 1967 suggests that the fCO2sw growth rate in the central North Sea was similar to that in the atmosphere.

Published
2018

43. Global carbon budget 2018 [Data Paper]

Author

Le Quéré, C., Andrew, R. M., Friedlingstein, P., Sitch, S., Hauck, J., Pongratz, J., Pickers, P. A., Korsbakken, J. I., Peters, G. P., Canadell, J. G., Arneth, A., Arora, V. K., Barbero, L., Bastos, A., Bopp, L., Chevallier, F., Chini, L. P., Ciais, P., Doney, S. C., Gkritzalis, T., Goll, D. S., Harris, I., Haverd, V., Hoffman, F. M., Hoppema, M., Houghton, R. A., Hurtt, G., Ilyina, T., Jain, A. K., Johannessen, T., Jones, C. D., Kato, E., Keeling, R. F., Goldewijk, K. K., Landschutzer, P., Lefèvre, Nathalie, Lienert, S., Liu, Z., Lombardozzi, D., Metzl, N., Munro, D. R., Nabel, Jems, Nakaoka, S., Neill, C., Olsen, A., Ono, T., Patra, P., Peregon, A., Peters, W., Peylin, P., Pfeil, B., Pierrot, D., Poulter, B., Rehder, G., Resplandy, L., Robertson, E., Rocher, M., Rodenbeck, C., Schuster, U., Schwinger, J., Seferian, R., Skjelvan, I., Steinhoff, T., Sutton, A., Tans, P. P., Tian, H. Q., Tilbrook, B., Tubiello, F. N., van der Laan-Luijkx, I. T., van der Werf, G. R., Viovy, N., Walker, A. P., Wiltshire, A. J., Wright, R., Zaehle, S., and Zheng, B.

Abstract

Accurate assessment of anthropogenic carbon dioxide (CO2) emissions and their redistribution among the atmosphere, ocean, and terrestrial biosphere - the "global carbon budget" - is important to better understand the global carbon cycle, support the development of climate policies, and project future climate change. Here we describe data sets and methodology to quantify the five major components of the global carbon budget and their uncertainties. Fossil CO2 emissions (E-FF) are based on energy statistics and cement production data, while emissions from land use and land-use change (E-LUC), mainly deforestation, are based on land use and land -use change data and bookkeeping models. Atmospheric CO2 concentration is measured directly and its growth rate (G(ATM)) is computed from the annual changes in concentration. The ocean CO2 sink (S-OCEAN) and terrestrial CO2 sink (S-LAND) are estimated with global process models constrained by observations. The resulting carbon budget imbalance (B-IM), the difference between the estimated total emissions and the estimated changes in the atmosphere, ocean, and terrestrial biosphere, is a measure of imperfect data and understanding of the contemporary carbon cycle. All uncertainties are reported as +/- 1 sigma. For the last decade available (2008-2017), E-FF was 9.4 +/- 0.5 GtC yr(-1), E-LUC 1.5 +/- 0.7 GtC yr(-1), G(ATM) 4.7 +/- 0.02 GtC yr(-1), S-OCEAN 2.4 +/- 0.5 GtC yr(-1), and S-LAND 3.2 +/- 0.8 GtC yr(-1), with a budget imbalance B-IM of 0.5 GtC yr(-1) indicating overestimated emissions and/or underestimated sinks. For the year 2017 alone, the growth in E-FF was about 1.6 % and emissions increased to 9.9 +/- 0.5 GtC yr(-1). Also for 2017, E-LUC was 1.4 +/- 0.7 GtC yr(-1), G(ATM) was 4.6 +/- 0.2 GtC yr(-1), S-OCEAN was 2.5 +/- 0.5 GtC yr(-1), and S-LAND was 3.8 +/- 0.8 GtC yr(-1), with a B-IM of 0.3 GtC. The global atmospheric CO2 concentration reached 405.0 +/- 0.1 ppm averaged over 2017. For 2018, preliminary data for the first 6-9 months indicate a renewed growth in E-FF of +2.7 % (range of 1.8 % to 3.7 %) based on national emission projections for China, the US, the EU, and India and projections of gross domestic product corrected for recent changes in the carbon intensity of the economy for the rest of the world. The analysis presented here shows that the mean and trend in the five components of the global carbon budget are consistently estimated over the period of 1959-2017, but discrepancies of up to 1 GtC yr(-1) persist for the representation of semi-decadal variability in CO2 fluxes. A detailed comparison among individual estimates and the introduction of a broad range of observations show (1) no consensus in the mean and trend in land -use change emissions, (2) a persistent low agreement among the different methods on the magnitude of the land CO2 flux in the northern extra-tropics, and (3) an apparent underestimation of the CO2 variability by ocean models, originating outside the tropics. This living data update documents changes in the methods and data sets used in this new global carbon budget and the progress in understanding the global carbon cycle compared with previous publications of this data set (Le Quere et al., 2018, 2016, 2015a, b, 2014, 2013). All results presented here can be downloaded from

Published
2018

44. Reviewing macro level factors as a foundation for understanding quality and patient safety improvement efforts across countries

Author

Johannessen, T., Ree, E., Wiig, S., van de Bovenkamp, H., Bal, R., van Gulijk, Coen, Haugen, Stein, Barros, Anne, Vinnem, Jan Erik, Kongsvik, Trond, Rotterdam School of Management, and Health Care Governance (HCG)

Abstract

This paper takes a macro perspective on quality and safety in elderly care, focusing on the role of the macro level context in two European countries; Norway and the Netherlands. The aim is to conduct a comparison of the healthcare systems as a foundation to understand quality and patient safety improvement efforts in elderly care across the two countries. Our methodological approach is to conduct a review of macro level factors as suggested by previous studies such as governance and financing structure, role of different actors, and types of initiatives taken. Data was collected from open sources such as national statistics, governmental reports, and web pages of key actors at the macro level. The similarities and differences are discussed to highlight the main areas where improvement efforts need to take country-specific factors into account when learning across countries.

Published
2018

45. BioTIME : a database of biodiversity time series for the Anthropocene [data paper]

Author

Dornelas, M., Antao, L. H., Moyes, F., Bates, A. E., Magurran, A. E., Adam, D., Akhmetzhanova, A. A., Appeltans, W., Arcos, J. M., Arnold, H., Ayyappan, N., Badihi, G., Baird, A. H., Barbosa, M., Barreto, T. E., Baessler, C., Bellgrove, A., Belmaker, J., Benedetti-Cecchi, L., Bett, B. J., Bjorkman, A. D., Blazewicz, M., Blowes, S. A., Bloch, C. P., Bonebrake, T. C., Boyd, S., Bradford, M., Brooks, A. J., Brown, J. H., Bruelheide, H., Budy, P., Carvalho, F., Castaneda-Moya, E., Chen, C. A., Chamblee, J. F., Chase, T. J., Collier, L., Collinge, S. K., Condit, R., Cooper, E. J., Cornelissen, J. H. C., Cotano, U., Crow, S. K., Damasceno, G., Davies, C. H., Davis, R. A., Day, F. P., Degraer, S., Doherty, T. S., Dunn, T. E., Durigan, G., Duffy, J. E., Edelist, D., Edgar, G. J., Elahi, R., Elmendorf, S. C., Enemar, A., Ernest, S. K. M., Escribano, R., Estiarte, M., Evans, B. S., Fan, T. Y., Farah, F. T., Fernandes, L. L., Farneda, F. Z., Fidelis, A., Fitt, R., Fosaa, A. M., Franco, G. A. C., Frank, G. E., Fraser, W. R., Garcia, H., Gatti, R. C., Givan, O., Gorgone-Barbosa, E., Gould, W. A., Gries, C., Grossman, G. D., Gutierrez, J. R., Hale, S., Harmon, M. E., Harte, J., Haskins, G., Henshaw, D. L., Hermanutz, L., Hidalgo, P., Higuchi, P., Hoey, A., Hoey, G., Hofgaard, A., Holeck, K., Hollister, R. D., Holmes, R., Hoogenboom, M., Hsieh, C. H., Hubbell, S. P., Huettmann, F., Huffard, C. L., Hurlbert, A. H., Ivanauskas, N. M., Janik, D., Jandt, U., Jazdzewska, A., Johannessen, T., Johnstone, J., Jones, J., Jones, F. A. M., Kang, J., Kartawijaya, T., Keeley, C., Kelt, D. A., Kinnear, R., Klanderud, K., Knutsen, H., Koenig, C. C., Kortz, A. R., Kral, K., Kuhnz, L. A., Kuo, C. Y., Kushner, D. J., Laguionie-Marchais, C., Lancaster, L. T., Lee, C., Lefcheck, J. S., Levesque, E., Lightfoot, D., Lloret, F., Lloyd, J. D., Lopez-Baucells, A., Louzao, M., Madin, J. S., Magnusson, B., Malamud, S., Matthews, I., McFarland, K. P., McGill, B., McKnight, D., McLarney, W. O., Meador, J., Meserve, P. L., Metcalfe, D. J., Meyer, C. F. J., Michelsen, A., Milchakova, N., Moens, T., Moland, E., Moore, J., Moreira, C. M., Mueller, J., Murphy, G., Myers-Smith, I. H., Myster, R. W., Naumov, A., Neat, F., Nelson, J. A., Nelson, M., Newton, S. F., Norden, N., Oliver, J. C., Olsen, E. M., Onipchenko, V. G., Pabis, K., Pabst, R. J., Paquette, A., Pardede, S., Paterson, D. M., and Pélissier, Raphaël

Subjects
spatial, temporal, turnover, species richness, global, biodiversity
Abstract

Motivation: The BioTIME database contains raw data on species identities and abundances in ecological assemblages through time. These data enable users to calculate temporal trends in biodiversity within and amongst assemblages using a broad range of metrics. BioTIME is being developed as a community-led open-source database of biodiversity time series. Our goal is to accelerate and facilitate quantitative analysis of temporal patterns of biodiversity in the Anthropocene. Main types of variables included: The database contains 8,777,413 species abundance records, from assemblages consistently sampled for a minimum of 2 years, which need not necessarily be consecutive. In addition, the database contains metadata relating to sampling methodology and contextual information about each record. Spatial location and grain: BioTIME is a global database of 547,161 unique sampling locations spanning the marine, freshwater and terrestrial realms. Grain size varies across datasets from 0.0000000158 km(2) (158 cm(2)) to 100 km(2) (1,000,000,000,000 cm(2)). Time period and grainBio: TIME records span from 1874 to 2016. The minimal temporal grain across all datasets in BioTIME is a year. Major taxa and level of measurement: BioTIME includes data from 44,440 species across the plant and animal kingdoms, ranging from plants, plankton and terrestrial invertebrates to small and large vertebrates.

Published
2018

48. Improving quality and safety in nursing homes and home care: The study protocol of a mixed-methods research design to implement a leadership intervention

Author

Wiig, S. (Siri), Ree, E. (Eline), Johannessen, T. (Terese), Strømme, T. (Torunn), Storm, M. (Marianne), Aase, I. (Ingunn), Ullebust, B. (Berit), Holen‑Rabbersvik, E. (Elisabeth), Hurup Thomsen, L. (Line), Sandvik Pedersen, A.T. (Anne Torhild), Bovenkamp, H.M. (Hester) van de, Bal, R.A. (Roland), Aase, K. (Karina), Wiig, S. (Siri), Ree, E. (Eline), Johannessen, T. (Terese), Strømme, T. (Torunn), Storm, M. (Marianne), Aase, I. (Ingunn), Ullebust, B. (Berit), Holen‑Rabbersvik, E. (Elisabeth), Hurup Thomsen, L. (Line), Sandvik Pedersen, A.T. (Anne Torhild), Bovenkamp, H.M. (Hester) van de, Bal, R.A. (Roland), and Aase, K. (Karina)

Abstract

Introduction Nursing homes and home care face challenges across different countries as people are living longer, often with chronic conditions. There is a lack of knowledge regarding implementation and impact of quality and safety interventions as most research evidence so far is generated in hospitals. Additionally, there is a lack of effective leadership tools for quality and safety improvement work in this context. Methods and analysis The aim of the 'Improving Quality and Safety in Primary Care-Implementing a Leadership Intervention in Nursing Homes and Homecare' (SAFE-LEAD) study is to develop and evaluate a research-based leadership guide for managers to increase quality and safety competence. The project applies a mixed-methods design and explores the implications of the leadership guide on managers' and staffs' knowledge, attitudes and practices. Four nursing homes and four home care services from different Norwegian municipalities will participate in the intervention. Surveys, process evaluation (interviews, observations) and document analyses will be conducted to evaluate the implementation and impact of the leadership intervention. A comparative study of Norway and the Netherlands will establish knowledge of the context dependency of the intervention. Ethics and dissemination The study is approved by the Norwegian Centre for Research Data (2017/52324 and 54855). The results will be disseminated through scientific articles, two PhD dissertations, an anthology, presentations at national and international conferences, and in social media, newsletters and in the press. The results will generate knowledge to inform leadership practices in nursing homes and home care. Moreover, the study will build new theory on leadership interventions and the role of contextual factors in nursing homes and home care.

Published
2018
Full Text
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49. BioTIME: a database of biodiversity time series for the Anthropocene

Author

Dornelas, M, Antão, LH, Moyes, F, Bates, AE, Magurran, AE, Adam, D, Akhmetzhanova, AA, Appeltans, W, Arcos, JM, Arnold, H, Ayyappan, N, Badihi, G, Baird, AH, Barbosa, M, Barreto, TE, Bässler, C, Bellgrove, Alecia, Belmaker, J, Benedetti-Cecchi, L, Bett, BJ, Bjorkman, AD, Błażewicz, M, Blowes, SA, Bloch, CP, Bonebrake, TC, Boyd, S, Bradford, M, Brooks, AJ, Brown, JH, Bruelheide, H, Budy, P, Carvalho, F, Castañeda-Moya, E, Chen, CA, Chamblee, JF, Chase, TJ, Siegwart Collier, L, Collinge, SK, Condit, R, Cooper, EJ, Cornelissen, JHC, Cotano, U, Kyle Crow, S, Damasceno, G, Davies, CH, Davis, RA, Day, FP, Degraer, S, Doherty, Timothy, Dunn, TE, Durigan, G, Duffy, JE, Edelist, D, Edgar, GJ, Elahi, R, Elmendorf, SC, Enemar, A, Ernest, SKM, Escribano, R, Estiarte, M, Evans, BS, Fan, T-Y, Turini Farah, F, Loureiro Fernandes, L, Farneda, FZ, Fidelis, A, Fitt, R, Fosaa, AM, Daher Correa Franco, GA, Frank, GE, Fraser, WR, García, H, Cazzolla Gatti, R, Givan, O, Gorgone-Barbosa, E, Gould, WA, Gries, C, Grossman, GD, Gutierréz, JR, Hale, S, Harmon, ME, Harte, J, Haskins, G, Henshaw, DL, Hermanutz, L, Hidalgo, P, Higuchi, P, Hoey, A, Van Hoey, G, Hofgaard, A, Holeck, K, Hollister, RD, Holmes, R, Hoogenboom, M, Hsieh, C-H, Hubbell, SP, Huettmann, F, Huffard, CL, Hurlbert, AH, Macedo Ivanauskas, N, Janík, D, Jandt, U, Jażdżewska, A, Johannessen, T, Johnstone, J, Jones, J, Jones, FAM, Kang, J, Kartawijaya, T, Keeley, EC, Kelt, DA, Kinnear, R, Klanderud, K, Knutsen, H, Koenig, CC, Kortz, AR, Král, K, Kuhnz, LA, Kuo, C-Y, Kushner, DJ, Laguionie-Marchais, C, Lancaster, LT, Min Lee, C, Lefcheck, JS, Lévesque, E, Lightfoot, D, Lloret, F, Lloyd, JD, López-Baucells, A, Louzao, M, Madin, JS, Magnússon, B, Malamud, S, Matthews, I, McFarland, KP, McGill, B, McKnight, D, McLarney, WO, Meador, J, Meserve, PL, Metcalfe, DJ, Meyer, CFJ, Michelsen, A, Milchakova, N, Moens, T, Moland, E, Moore, J, Mathias Moreira, C, Müller, J, Murphy, G, Myers-Smith, IH, Myster, RW, Naumov, A, Neat, F, Nelson, JA, Paul Nelson, M, Newton, SF, Norden, N, Oliver, JC, Olsen, EM, Onipchenko, VG, Pabis, K, Pabst, RJ, Paquette, A, Pardede, S, Paterson, DM, Pélissier, R, Peñuelas, J, Pérez-Matus, A, Pizarro, O, Pomati, F, Post, E, Prins, HHT, Priscu, JC, Provoost, P, Prudic, KL, Pulliainen, E, Ramesh, BR, Mendivil Ramos, O, Rassweiler, A, Rebelo, JE, Reed, DC, Reich, PB, Remillard, SM, Richardson, AJ, Richardson, JP, van Rijn, I, Rocha, R, Rivera-Monroy, VH, Rixen, C, Robinson, KP, Ribeiro Rodrigues, R, de Cerqueira Rossa-Feres, D, Rudstam, L, Ruhl, H, Ruz, CS, Sampaio, EM, Rybicki, N, Rypel, A, Sal, S, Salgado, B, Santos, FAM, Savassi-Coutinho, AP, Scanga, S, Schmidt, J, Schooley, R, Setiawan, F, Shao, K-T, Shaver, GR, Sherman, S, Sherry, TW, Siciński, J, Sievers, C, da Silva, AC, Rodrigues da Silva, F, Silveira, FL, Slingsby, J, Smart, T, Snell, SJ, Soudzilovskaia, NA, Souza, GBG, Maluf Souza, F, Castro Souza, V, Stallings, CD, Stanforth, R, Stanley, EH, Mauro Sterza, J, Stevens, M, Stuart-Smith, R, Rondon Suarez, Y, Supp, S, Yoshio Tamashiro, J, Tarigan, S, Thiede, GP, Thorn, S, Tolvanen, A, Teresa Zugliani Toniato, M, Totland, Ø, Twilley, RR, Vaitkus, G, Valdivia, N, Vallejo, MI, Valone, TJ, Van Colen, C, Vanaverbeke, J, Venturoli, F, Verheye, HM, Vianna, M, Vieira, RP, Vrška, T, Quang Vu, C, Van Vu, L, Waide, RB, Waldock, C, Watts, D, Webb, S, Wesołowski, T, White, EP, Widdicombe, CE, Wilgers, D, Williams, R, Williams, SB, Williamson, M, Willig, MR, Willis, TJ, Wipf, S, Woods, KD, Woehler, EJ, Zawada, K, Zettler, ML, Hickler, T, Dornelas, M, Antão, LH, Moyes, F, Bates, AE, Magurran, AE, Adam, D, Akhmetzhanova, AA, Appeltans, W, Arcos, JM, Arnold, H, Ayyappan, N, Badihi, G, Baird, AH, Barbosa, M, Barreto, TE, Bässler, C, Bellgrove, Alecia, Belmaker, J, Benedetti-Cecchi, L, Bett, BJ, Bjorkman, AD, Błażewicz, M, Blowes, SA, Bloch, CP, Bonebrake, TC, Boyd, S, Bradford, M, Brooks, AJ, Brown, JH, Bruelheide, H, Budy, P, Carvalho, F, Castañeda-Moya, E, Chen, CA, Chamblee, JF, Chase, TJ, Siegwart Collier, L, Collinge, SK, Condit, R, Cooper, EJ, Cornelissen, JHC, Cotano, U, Kyle Crow, S, Damasceno, G, Davies, CH, Davis, RA, Day, FP, Degraer, S, Doherty, Timothy, Dunn, TE, Durigan, G, Duffy, JE, Edelist, D, Edgar, GJ, Elahi, R, Elmendorf, SC, Enemar, A, Ernest, SKM, Escribano, R, Estiarte, M, Evans, BS, Fan, T-Y, Turini Farah, F, Loureiro Fernandes, L, Farneda, FZ, Fidelis, A, Fitt, R, Fosaa, AM, Daher Correa Franco, GA, Frank, GE, Fraser, WR, García, H, Cazzolla Gatti, R, Givan, O, Gorgone-Barbosa, E, Gould, WA, Gries, C, Grossman, GD, Gutierréz, JR, Hale, S, Harmon, ME, Harte, J, Haskins, G, Henshaw, DL, Hermanutz, L, Hidalgo, P, Higuchi, P, Hoey, A, Van Hoey, G, Hofgaard, A, Holeck, K, Hollister, RD, Holmes, R, Hoogenboom, M, Hsieh, C-H, Hubbell, SP, Huettmann, F, Huffard, CL, Hurlbert, AH, Macedo Ivanauskas, N, Janík, D, Jandt, U, Jażdżewska, A, Johannessen, T, Johnstone, J, Jones, J, Jones, FAM, Kang, J, Kartawijaya, T, Keeley, EC, Kelt, DA, Kinnear, R, Klanderud, K, Knutsen, H, Koenig, CC, Kortz, AR, Král, K, Kuhnz, LA, Kuo, C-Y, Kushner, DJ, Laguionie-Marchais, C, Lancaster, LT, Min Lee, C, Lefcheck, JS, Lévesque, E, Lightfoot, D, Lloret, F, Lloyd, JD, López-Baucells, A, Louzao, M, Madin, JS, Magnússon, B, Malamud, S, Matthews, I, McFarland, KP, McGill, B, McKnight, D, McLarney, WO, Meador, J, Meserve, PL, Metcalfe, DJ, Meyer, CFJ, Michelsen, A, Milchakova, N, Moens, T, Moland, E, Moore, J, Mathias Moreira, C, Müller, J, Murphy, G, Myers-Smith, IH, Myster, RW, Naumov, A, Neat, F, Nelson, JA, Paul Nelson, M, Newton, SF, Norden, N, Oliver, JC, Olsen, EM, Onipchenko, VG, Pabis, K, Pabst, RJ, Paquette, A, Pardede, S, Paterson, DM, Pélissier, R, Peñuelas, J, Pérez-Matus, A, Pizarro, O, Pomati, F, Post, E, Prins, HHT, Priscu, JC, Provoost, P, Prudic, KL, Pulliainen, E, Ramesh, BR, Mendivil Ramos, O, Rassweiler, A, Rebelo, JE, Reed, DC, Reich, PB, Remillard, SM, Richardson, AJ, Richardson, JP, van Rijn, I, Rocha, R, Rivera-Monroy, VH, Rixen, C, Robinson, KP, Ribeiro Rodrigues, R, de Cerqueira Rossa-Feres, D, Rudstam, L, Ruhl, H, Ruz, CS, Sampaio, EM, Rybicki, N, Rypel, A, Sal, S, Salgado, B, Santos, FAM, Savassi-Coutinho, AP, Scanga, S, Schmidt, J, Schooley, R, Setiawan, F, Shao, K-T, Shaver, GR, Sherman, S, Sherry, TW, Siciński, J, Sievers, C, da Silva, AC, Rodrigues da Silva, F, Silveira, FL, Slingsby, J, Smart, T, Snell, SJ, Soudzilovskaia, NA, Souza, GBG, Maluf Souza, F, Castro Souza, V, Stallings, CD, Stanforth, R, Stanley, EH, Mauro Sterza, J, Stevens, M, Stuart-Smith, R, Rondon Suarez, Y, Supp, S, Yoshio Tamashiro, J, Tarigan, S, Thiede, GP, Thorn, S, Tolvanen, A, Teresa Zugliani Toniato, M, Totland, Ø, Twilley, RR, Vaitkus, G, Valdivia, N, Vallejo, MI, Valone, TJ, Van Colen, C, Vanaverbeke, J, Venturoli, F, Verheye, HM, Vianna, M, Vieira, RP, Vrška, T, Quang Vu, C, Van Vu, L, Waide, RB, Waldock, C, Watts, D, Webb, S, Wesołowski, T, White, EP, Widdicombe, CE, Wilgers, D, Williams, R, Williams, SB, Williamson, M, Willig, MR, Willis, TJ, Wipf, S, Woods, KD, Woehler, EJ, Zawada, K, Zettler, ML, and Hickler, T

Published
2018

50. BioTIME:a database of biodiversity time series for the Anthropocene

Author

Dornelas, M. (Maria), Antao, L. H. (Laura H.), Moyes, F. (Faye), Bates, A. E. (Amanda E.), Magurran, A. E. (Anne E.), Adam, D. (Dusan), Akhmetzhanova, A. A. (Asem A.), Appeltans, W. (Ward), Arcos, J. M. (Jose Manuel), Arnold, H. (Haley), Ayyappan, N. (Narayanan), Badihi, G. (Gal), Baird, A. H. (Andrew H.), Barbosa, M. (Miguel), Barreto, T. E. (Tiago Egydio), Baessler, C. (Claus), Bellgrove, A. (Alecia), Belmaker, J. (Jonathan), Benedetti-Cecchi, L. (Lisandro), Bett, B. J. (Brian J.), Bjorkman, A. D. (Anne D.), Blazewicz, M. (Magdalena), Blowes, S. A. (Shane A.), Bloch, C. P. (Christopher P.), Bonebrake, T. C. (Timothy C.), Boyd, S. (Susan), Bradford, M. (Matt), Brooks, A. J. (Andrew J.), Brown, J. H. (James H.), Bruelheide, H. (Helge), Budy, P. (Phaedra), Carvalho, F. (Fernando), Castaneda-Moya, E. (Edward), Chen, C. A. (Chaolun Allen), Chamblee, J. F. (John F.), Chase, T. J. (Tory J.), Siegwart Collier, L. (Laura), Collinge, S. K. (Sharon K.), Condit, R. (Richard), Cooper, E. J. (Elisabeth J.), Cornelissen, J. H. (J. Hans C.), Cotano, U. (Unai), Crow, S. K. (Shannan Kyle), Damasceno, G. (Gabriella), Davies, C. H. (Claire H.), Davis, R. A. (Robert A.), Day, F. P. (Frank P.), Degraer, S. (Steven), Doherty, T. S. (Tim S.), Dunn, T. E. (Timothy E.), Durigan, G. (Giselda), Duffy, J. E. (J. Emmett), Edelist, D. (Dor), Edgar, G. J. (Graham J.), Elahi, R. (Robin), Elmendorf, S. C. (Sarah C.), Enemar, A. (Anders), Ernest, S. K. (S. K. Morgan), Escribano, R. (Ruben), Estiarte, M. (Marc), Evans, B. S. (Brian S.), Fan, T.-Y. (Tung-Yung), Farah, F. T. (Fabiano Turini), Fernandes, L. L. (Luiz Loureiro), Farneda, F. Z. (Fabio Z.), Fidelis, A. (Alessandra), Fitt, R. (Robert), Fosaa, A. M. (Anna Maria), Daher Correa Franco, G. A. (Geraldo Antonio), Frank, G. E. (Grace E.), Fraser, W. R. (William R.), Garcia, H. (Hernando), Gatti, R. C. (Roberto Cazzolla), Givan, O. (Or), Gorgone-Barbosa, E. (Elizabeth), Gould, W. A. (William A.), Gries, C. (Corinna), Grossman, G. D. (Gary D.), Gutierrez, J. R. (Julio R.), Hale, S. (Stephen), Harmon, M. E. (Mark E.), Harte, J. (John), Haskins, G. (Gary), Henshaw, D. L. (Donald L.), Hermanutz, L. (Luise), Hidalgo, P. (Pamela), Higuchi, P. (Pedro), Hoey, A. (Andrew), Van Hoey, G. (Gert), Hofgaard, A. (Annika), Holeck, K. (Kristen), Hollister, R. D. (Robert D.), Holmes, R. (Richard), Hoogenboom, M. (Mia), Hsieh, C.-h. (Chih-hao), Hubbell, S. P. (Stephen P.), Huettmann, F. (Falk), Huffard, C. L. (Christine L.), Hurlbert, A. H. (Allen H.), Ivanauskas, N. M. (Natalia Macedo), Janik, D. (David), Jandt, U. (Ute), Jazdzewska, A. (Anna), Johannessen, T. (Tore), Johnstone, J. (Jill), Jones, J. (Julia), Jones, F. A. (Faith A. M.), Kang, J. (Jungwon), Kartawijaya, T. (Tasrif), Keeley, E. C. (Erin C.), Kelt, D. A. (Douglas A.), Kinnear, R. (Rebecca), Klanderud, K. (Kari), Knutsen, H. (Halvor), Koenig, C. C. (Christopher C.), Kortz, A. R. (Alessandra R.), Kral, K. (Kamil), Kuhnz, L. A. (Linda A.), Kuo, C.-Y. (Chao-Yang), Kushner, D. J. (David J.), Laguionie-Marchais, C. (Claire), Lancaster, L. T. (Lesley T.), Min Lee, C. (Cheol), Lefcheck, J. S. (Jonathan S.), Levesque, E. (Esther), Lightfoot, D. (David), Lloret, F. (Francisco), Lloyd, J. D. (John D.), Lopez-Baucells, A. (Adria), Louzao, M. (Maite), Madin, J. S. (Joshua S.), Magnusson, B. (Borgpor), Malamud, S. (Shahar), Matthews, I. (Iain), McFarland, K. P. (Kent P.), McGill, B. (Brian), McKnight, D. (Diane), McLarney, W. O. (William O.), Meador, J. (Jason), Meserve, P. L. (Peter L.), Metcalfe, D. J. (Daniel J.), Meyer, C. F. (Christoph F. J.), Michelsen, A. (Anders), Milchakova, N. (Nataliya), Moens, T. (Tom), Moland, E. (Even), Moore, J. (Jon), Moreira, C. M. (Carolina Mathias), Mueller, J. (Joerg), Murphy, G. (Grace), Myers-Smith, I. H. (Isla H.), Myster, R. W. (Randall W.), Naumov, A. (Andrew), Neat, F. (Francis), Nelson, J. A. (James A.), Paul Nelson, M. (Michael), Newton, S. F. (Stephen F.), Norden, N. (Natalia), Oliver, J. C. (Jeffrey C.), Olsen, E. M. (Esben M.), Onipchenko, V. G. (Vladimir G.), Pabis, K. (Krzysztof), Pabst, R. J. (Robert J.), Paquette, A. (Alain), Pardede, S. (Sinta), Paterson, D. M. (David M.), Pelissier, R. (Raphael), Penuelas, J. (Josep), Perez-Matus, A. (Alejandro), Pizarro, O. (Oscar), Pomati, F. (Francesco), Post, E. (Eric), Prins, H. H. (Herbert H. T.), Priscu, J. C. (John C.), Provoost, P. (Pieter), Prudic, K. L. (Kathleen L.), Erkki, P. (Pulliainen), Ramesh, B. R. (B. R.), Mendivil Ramos, O. (Olivia), Rassweiler, A. (Andrew), Rebelo, J. E. (Jose Eduardo), Reed, D. C. (Daniel C.), Reich, P. B. (Peter B.), Remillard, S. M. (Suzanne M.), Richardson, A. J. (Anthony J.), Richardson, J. P. (J. Paul), van Rijn, I. (Itai), Rocha, R. (Ricardo), Rivera-Monroy, V. H. (Victor H.), Rixen, C. (Christian), Robinson, K. P. (Kevin P.), Rodrigues, R. R. (Ricardo Ribeiro), Rossa-Feres, D. d. (Denise de Cerqueira), Rudstam, L. (Lars), Ruhl, H. (Henry), Ruz, C. S. (Catalina S.), Sampaio, E. M. (Erica M.), Rybicki, N. (Nancy), Rypel, A. (Andrew), Sal, S. (Sofia), Salgado, B. (Beatriz), Santos, F. A. (Flavio A. M.), Savassi-Coutinho, A. P. (Ana Paula), Scanga, S. (Sara), Schmidt, J. (Jochen), Schooley, R. (Robert), Setiawan, F. (Fakhrizal), Shao, K.-T. (Kwang-Tsao), Shaver, G. R. (Gaius R.), Sherman, S. (Sally), Sherry, T. W. (Thomas W.), Sicinski, J. (Jacek), Sievers, C. (Caya), da Silva, A. C. (Ana Carolina), da Silva, F. R. (Fernando Rodrigues), Silveira, F. L. (Fabio L.), Slingsby, J. (Jasper), Smart, T. (Tracey), Snell, S. J. (Sara J.), Soudzilovskaia, N. A. (Nadejda A.), Souza, G. B. (Gabriel B. G.), Souza, F. M. (Flaviana Maluf), Souza, V. C. (Vinicius Castro), Stallings, C. D. (Christopher D.), Stanforth, R. (Rowan), Stanley, E. H. (Emily H.), Sterza, J. M. (Jose Mauro), Stevens, M. (Maarten), Stuart-Smith, R. (Rick), Rondon Suarez, Y. (Yzel), Supp, S. (Sarah), Yoshio Tamashiro, J. (Jorge), Tarigan, S. (Sukmaraharja), Thiede, G. P. (Gary P.), Thorn, S. 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(Gabriella), Davies, C. H. (Claire H.), Davis, R. A. (Robert A.), Day, F. P. (Frank P.), Degraer, S. (Steven), Doherty, T. S. (Tim S.), Dunn, T. E. (Timothy E.), Durigan, G. (Giselda), Duffy, J. E. (J. Emmett), Edelist, D. (Dor), Edgar, G. J. (Graham J.), Elahi, R. (Robin), Elmendorf, S. C. (Sarah C.), Enemar, A. (Anders), Ernest, S. K. (S. K. Morgan), Escribano, R. (Ruben), Estiarte, M. (Marc), Evans, B. S. (Brian S.), Fan, T.-Y. (Tung-Yung), Farah, F. T. (Fabiano Turini), Fernandes, L. L. (Luiz Loureiro), Farneda, F. Z. (Fabio Z.), Fidelis, A. (Alessandra), Fitt, R. (Robert), Fosaa, A. M. (Anna Maria), Daher Correa Franco, G. A. (Geraldo Antonio), Frank, G. E. (Grace E.), Fraser, W. R. (William R.), Garcia, H. (Hernando), Gatti, R. C. (Roberto Cazzolla), Givan, O. (Or), Gorgone-Barbosa, E. (Elizabeth), Gould, W. A. (William A.), Gries, C. (Corinna), Grossman, G. D. (Gary D.), Gutierrez, J. R. (Julio R.), Hale, S. (Stephen), Harmon, M. E. (Mark E.), Harte, J. (John), Haskins, G. 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(Cheol), Lefcheck, J. S. (Jonathan S.), Levesque, E. (Esther), Lightfoot, D. (David), Lloret, F. (Francisco), Lloyd, J. D. (John D.), Lopez-Baucells, A. (Adria), Louzao, M. (Maite), Madin, J. S. (Joshua S.), Magnusson, B. (Borgpor), Malamud, S. (Shahar), Matthews, I. (Iain), McFarland, K. P. (Kent P.), McGill, B. (Brian), McKnight, D. (Diane), McLarney, W. O. (William O.), Meador, J. (Jason), Meserve, P. L. (Peter L.), Metcalfe, D. J. (Daniel J.), Meyer, C. F. (Christoph F. J.), Michelsen, A. (Anders), Milchakova, N. (Nataliya), Moens, T. (Tom), Moland, E. (Even), Moore, J. (Jon), Moreira, C. M. (Carolina Mathias), Mueller, J. (Joerg), Murphy, G. (Grace), Myers-Smith, I. H. (Isla H.), Myster, R. W. (Randall W.), Naumov, A. (Andrew), Neat, F. (Francis), Nelson, J. A. (James A.), Paul Nelson, M. (Michael), Newton, S. F. (Stephen F.), Norden, N. (Natalia), Oliver, J. C. (Jeffrey C.), Olsen, E. M. (Esben M.), Onipchenko, V. G. (Vladimir G.), Pabis, K. (Krzysztof), Pabst, R. J. 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Abstract

Motivation: The BioTIME database contains raw data on species identities and abundances in ecological assemblages through time. These data enable users to calculate temporal trends in biodiversity within and amongst assemblages using a broad range of metrics. BioTIME is being developed as a community‐led open‐source database of biodiversity time series. Our goal is to accelerate and facilitate quantitative analysis of temporal patterns of biodiversity in the Anthropocene. Main types of variables included: The database contains 8,777,413 species abundance records, from assemblages consistently sampled for a minimum of 2 years, which need not necessarily be consecutive. In addition, the database contains metadata relating to sampling methodology and contextual information about each record. Spatial location and grain: BioTIME is a global database of 547,161 unique sampling locations spanning the marine, freshwater and terrestrial realms. Grain size varies across datasets from 0.0000000158 km² (158 cm²) to 100 km² (1,000,000,000,000 cm²). Time period and grain: BioTIME records span from 1874 to 2016. The minimal temporal grain across all datasets in BioTIME is a year. Major taxa and level of measurement: BioTIME includes data from 44,440 species across the plant and animal kingdoms, ranging from plants, plankton and terrestrial invertebrates to small and large vertebrates. Software format: .csv and .SQL.

Published
2018

Catalog

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