12 results on '"Fosaa AM"'
Search Results
2. BioTIME: a database of biodiversity time series for the Anthropocene
- Author
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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
3. The Nordic Vegetation Survey - Concepts and perspectives
- Author
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Lawesson, JE, Diekmann, M, Eilertsen, O, Fosaa, AM, Heikkila, H, Lawesson, JE, Diekmann, M, Eilertsen, O, Fosaa, AM, and Heikkila, H
- Abstract
The background of the Nordic Vegetation Survey is outlined and the concepts for this international collaboration project are reviewed. The project includes, so far, institutions in Denmark, Faeroes, Finland, Norway and Sweden. We are setting up a common b, Addresses: Lawesson JE, NATL ENVIRONM RES INST, DEPT LANDSCAPE ECOL, GRENAVEJ 12, KALO, DK-8410 RONDE, DENMARK. UNIV COLL GAVLE SANDVIKEN, DEPT MATH NAT & COMP SCI, S-80176 GAVLE, SWEDEN. UPPSALA UNIV, DEPT ECOL BOT, S-75236 UPPSALA, SWEDEN. NORWEGIAN INS
- Published
- 1997
4. Ecological Indicator Values of Europe (EIVE) 1.0: A Powerful Open-Access Tool for Vegetation Scientists
- Author
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Dengler , Jürgen, Hüllbusch , Elisabeth, Bita-Nicolae , Claudia, Chytrý , Milan, Didukh , Yakiv P., Diekmann , Martin, Dierschke , Hartmut, Englisch , Thorsten, Ermakov , Nikolai, Feldhaar , Heike, Fosaa , Anna Maria, Frank , Dieter, Gillet , François, Guarino , Riccardo, Hennekens , Stephan M., Hill , Mark O., Jelaska , Sven D., Jíménez-Alfaro , Borja, Julve , Philippe, Kącki , Zygmunt, Karrer , Gerhard, Nobis , Michael P., Ozinga , Wim A., Pignatti , Sandro, Raus , Thomas, Řezníčková , Marcela, Ruprecht , Eszter, Šilc , Urban, Steinbauer , Manuel J., Theurillat , Jean-Paul, Tichý , Lubomir, Jansen , Florian, Agrillo, Emiliano, Attore, Fabio, Spada, Francesco, Casella, Laura, Dengler, J, Hüllbusch, E, Bita-Nicolae, C, Chytrý, M, Didukh, YP, Diekmann, M, Dierschke, H, Englisch, T, Ermakov, N, Feldhaar, H, Fosaa, AM, Frank, D, Gillet, F, Guarino, R, Hennekens, SM, Hill, MO, Jelaska, SD, Jíménez-Alfaro, B, Julve, P, Kącki, Z, Karrer, G, Nobis, MP, Ozinga, WA, Pignatti, S, Raus, T, Řezníčková, M, Ruprecht, E, Šilc, U, Steinbauer, MJ, Theurillat, JP, Tichý, L, Jansen F, Laboratory of Ecological Systems, EPFL, Laboratoire Chrono-environnement - CNRS - UBFC (UMR 6249) (LCE), Centre National de la Recherche Scientifique (CNRS)-Université de Franche-Comté (UFC), Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université Bourgogne Franche-Comté [COMUE] (UBFC), Laboratoire Chrono-environnement ( LCE ), and Université Bourgogne Franche-Comté ( UBFC ) -Centre National de la Recherche Scientifique ( CNRS ) -Université de Franche-Comté ( UFC )
- Subjects
Ellenberg Indicator Value ,[ SDE.BE ] Environmental Sciences/Biodiversity and Ecology ,European Vegetation Archive ,Bioindication ,Ellenberg indicator values ,Ecoinformatics ,Ecological optimum ,Site condition ,Vegetation-plot database ,Indicator Values, Europe, Ellenberg ,ecological optimum ,site condition ,vegetation-plot database ,15. Life on land ,[SDE.BE]Environmental Sciences/Biodiversity and Ecology ,bioindication ,ecoinformatics - Abstract
International audience; Background: Ecological indicator values (EIVs) have a long tradition in vegetation ecological research in Europe. EIVs characterise the ecological optimum of species along major environmental gradients using ordinal scales. Calculating mean indicator values per plot is an effective way of bioindication. Following first systems in Russia and Central Europe, about two dozen EIV systems have been published for various parts of Europe.Aims: As there was no EIV system available at European scale that could be used for broad- scale analyses, e.g. in the context of the European Vegetation Archive (EVA), we develop such a system for the first time for the vascular plants of Europe.Location: Europe.Methods: We compiled all national and major regional EIV systems and harmonized their plant nomenclature with a newly developed contemporary European taxonomic backbone (EuroSL 1.0). Using regression, we rescaled the individual EIV systems for the main parameters to continent-wide quasi-metric scales, ranging from 1 to 99. The data from each individual system were then translated into a probability curve approximated with a normal distribution, weighed with the logarithm of the area represented and summed up across the systems. From the European density curve we extracted then a mean and a variance, which characterise the distribution of this species along this particular ecological gradient.Results and conclusions: Our consensus approach of integrating the expert knowledge of all existing EIV systems allowed deriving the first consistent description of the ecological behaviour for a significant part of the European vascular flora. The resulting Ecological Indicator Values of Europe (EIVE) 1.0 will be published open access to allow bioindication beyond country borders. Future releases of EIVE might contain more parameters, non- vascular plants and regionalisation or could be re-adjusted and extended to hitherto non- covered species through co-occurrence data from EVA.
- Published
- 2016
5. Author Correction: Warming shortens flowering seasons of tundra plant communities.
- Author
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Prevéy JS, Rixen C, Rüger N, Høye TT, Bjorkman AD, Myers-Smith IH, Elmendorf SC, Ashton IW, Cannone N, Chisholm CL, Clark K, Cooper EJ, Elberling B, Fosaa AM, Henry GHR, Hollister RD, Jónsdóttir IS, Klanderud K, Kopp CW, Lévesque E, Mauritz M, Molau U, Natali SM, Oberbauer SF, Panchen ZA, Post E, Rumpf SB, Schmidt NM, Schuur E, Semenchuk PR, Smith JG, Suding KN, Totland Ø, Troxler T, Venn S, Wahren CH, Welker JM, and Wipf S
- Abstract
In the version of this Article originally published, the following sentence was missing from the Acknowledgements: "This work was supported by the Norwegian Research Council SnoEco project, grant number 230970". This text has now been added.
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- 2019
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6. Warming shortens flowering seasons of tundra plant communities.
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Prevéy JS, Rixen C, Rüger N, Høye TT, Bjorkman AD, Myers-Smith IH, Elmendorf SC, Ashton IW, Cannone N, Chisholm CL, Clark K, Cooper EJ, Elberling B, Fosaa AM, Henry GHR, Hollister RD, Jónsdóttir IS, Klanderud K, Kopp CW, Lévesque E, Mauritz M, Molau U, Natali SM, Oberbauer SF, Panchen ZA, Post E, Rumpf SB, Schmidt NM, Schuur E, Semenchuk PR, Smith JG, Suding KN, Totland Ø, Troxler T, Venn S, Wahren CH, Welker JM, and Wipf S
- Subjects
- Plant Development, Tundra, Climate Change, Flowers growth & development, Seasons, Temperature
- Abstract
Advancing phenology is one of the most visible effects of climate change on plant communities, and has been especially pronounced in temperature-limited tundra ecosystems. However, phenological responses have been shown to differ greatly between species, with some species shifting phenology more than others. We analysed a database of 42,689 tundra plant phenological observations to show that warmer temperatures are leading to a contraction of community-level flowering seasons in tundra ecosystems due to a greater advancement in the flowering times of late-flowering species than early-flowering species. Shorter flowering seasons with a changing climate have the potential to alter trophic interactions in tundra ecosystems. Interestingly, these findings differ from those of warmer ecosystems, where early-flowering species have been found to be more sensitive to temperature change, suggesting that community-level phenological responses to warming can vary greatly between biomes.
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- 2019
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7. BioTIME: A database of biodiversity time series for the Anthropocene.
- Author
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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 A, 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 TS, 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 TY, 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 CH, 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 CY, 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 KT, 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
- 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 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
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8. Greater temperature sensitivity of plant phenology at colder sites: implications for convergence across northern latitudes.
- Author
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Prevéy J, Vellend M, Rüger N, Hollister RD, Bjorkman AD, Myers-Smith IH, Elmendorf SC, Clark K, Cooper EJ, Elberling B, Fosaa AM, Henry GHR, Høye TT, Jónsdóttir IS, Klanderud K, Lévesque E, Mauritz M, Molau U, Natali SM, Oberbauer SF, Panchen ZA, Post E, Rumpf SB, Schmidt NM, Schuur EAG, Semenchuk PR, Troxler T, Welker JM, and Rixen C
- Subjects
- Cold Temperature, Seasons, Tundra, Climate Change, Plant Development, Temperature
- Abstract
Warmer temperatures are accelerating the phenology of organisms around the world. Temperature sensitivity of phenology might be greater in colder, higher latitude sites than in warmer regions, in part because small changes in temperature constitute greater relative changes in thermal balance at colder sites. To test this hypothesis, we examined up to 20 years of phenology data for 47 tundra plant species at 18 high-latitude sites along a climatic gradient. Across all species, the timing of leaf emergence and flowering was more sensitive to a given increase in summer temperature at colder than warmer high-latitude locations. A similar pattern was seen over time for the flowering phenology of a widespread species, Cassiope tetragona. These are among the first results highlighting differential phenological responses of plants across a climatic gradient and suggest the possibility of convergence in flowering times and therefore an increase in gene flow across latitudes as the climate warms., (© 2017 John Wiley & Sons Ltd.)
- Published
- 2017
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9. Sheep grazing in the North Atlantic region: A long-term perspective on environmental sustainability.
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Ross LC, Austrheim G, Asheim LJ, Bjarnason G, Feilberg J, Fosaa AM, Hester AJ, Holand Ø, Jónsdóttir IS, Mortensen LE, Mysterud A, Olsen E, Skonhoft A, Speed JD, Steinheim G, Thompson DB, and Thórhallsdóttir AG
- Subjects
- Animals, Atlantic Ocean, Conservation of Natural Resources economics, Environmental Monitoring economics, Rural Population, Conservation of Natural Resources methods, Ecosystem, Environmental Monitoring methods, Herbivory, Sheep growth & development
- Abstract
Sheep grazing is an important part of agriculture in the North Atlantic region, defined here as the Faroe Islands, Greenland, Iceland, Norway and Scotland. This process has played a key role in shaping the landscape and biodiversity of the region, sometimes with major environmental consequences, and has also been instrumental in the development of its rural economy and culture. In this review, we present results of the first interdisciplinary study taking a long-term perspective on sheep management, resource economy and the ecological impacts of sheep grazing, showing that sustainability boundaries are most likely to be exceeded in fragile environments where financial support is linked to the number of sheep produced. The sustainability of sheep grazing can be enhanced by a management regime that promotes grazing densities appropriate to the site and supported by area-based subsidy systems, thus minimizing environmental degradation, encouraging biodiversity and preserving the integrity of ecosystem processes.
- Published
- 2016
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10. Experiment, monitoring, and gradient methods used to infer climate change effects on plant communities yield consistent patterns.
- Author
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Elmendorf SC, Henry GH, Hollister RD, Fosaa AM, Gould WA, Hermanutz L, Hofgaard A, Jónsdóttir IS, Jorgenson JC, Lévesque E, Magnusson B, Molau U, Myers-Smith IH, Oberbauer SF, Rixen C, Tweedie CE, and Walker MD
- Subjects
- Biodiversity, Ecosystem, Global Warming, Plant Physiological Phenomena, Climate Change, Ecological Parameter Monitoring methods, Plants
- Abstract
Inference about future climate change impacts typically relies on one of three approaches: manipulative experiments, historical comparisons (broadly defined to include monitoring the response to ambient climate fluctuations using repeat sampling of plots, dendroecology, and paleoecology techniques), and space-for-time substitutions derived from sampling along environmental gradients. Potential limitations of all three approaches are recognized. Here we address the congruence among these three main approaches by comparing the degree to which tundra plant community composition changes (i) in response to in situ experimental warming, (ii) with interannual variability in summer temperature within sites, and (iii) over spatial gradients in summer temperature. We analyzed changes in plant community composition from repeat sampling (85 plant communities in 28 regions) and experimental warming studies (28 experiments in 14 regions) throughout arctic and alpine North America and Europe. Increases in the relative abundance of species with a warmer thermal niche were observed in response to warmer summer temperatures using all three methods; however, effect sizes were greater over broad-scale spatial gradients relative to either temporal variability in summer temperature within a site or summer temperature increases induced by experimental warming. The effect sizes for change over time within a site and with experimental warming were nearly identical. These results support the view that inferences based on space-for-time substitution overestimate the magnitude of responses to contemporary climate warming, because spatial gradients reflect long-term processes. In contrast, in situ experimental warming and monitoring approaches yield consistent estimates of the magnitude of response of plant communities to climate warming.
- Published
- 2015
- Full Text
- View/download PDF
11. Phenological response of tundra plants to background climate variation tested using the International Tundra Experiment.
- Author
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Oberbauer SF, Elmendorf SC, Troxler TG, Hollister RD, Rocha AV, Bret-Harte MS, Dawes MA, Fosaa AM, Henry GH, Høye TT, Jarrad FC, Jónsdóttir IS, Klanderud K, Klein JA, Molau U, Rixen C, Schmidt NM, Shaver GR, Slider RT, Totland Ø, Wahren CH, and Welker JM
- Subjects
- Arctic Regions, Flowers growth & development, Internationality, Models, Biological, Plant Leaves, Seasons, Time Factors, Climate Change, Ecosystem, Plant Development, Plants classification
- Abstract
The rapidly warming temperatures in high-latitude and alpine regions have the potential to alter the phenology of Arctic and alpine plants, affecting processes ranging from food webs to ecosystem trace gas fluxes. The International Tundra Experiment (ITEX) was initiated in 1990 to evaluate the effects of expected rapid changes in temperature on tundra plant phenology, growth and community changes using experimental warming. Here, we used the ITEX control data to test the phenological responses to background temperature variation across sites spanning latitudinal and moisture gradients. The dataset overall did not show an advance in phenology; instead, temperature variability during the years sampled and an absence of warming at some sites resulted in mixed responses. Phenological transitions of high Arctic plants clearly occurred at lower heat sum thresholds than those of low Arctic and alpine plants. However, sensitivity to temperature change was similar among plants from the different climate zones. Plants of different communities and growth forms differed for some phenological responses. Heat sums associated with flowering and greening appear to have increased over time. These results point to a complex suite of changes in plant communities and ecosystem function in high latitudes and elevations as the climate warms.
- Published
- 2013
- Full Text
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12. Global assessment of experimental climate warming on tundra vegetation: heterogeneity over space and time.
- Author
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Elmendorf SC, Henry GH, Hollister RD, Björk RG, Bjorkman AD, Callaghan TV, Collier LS, Cooper EJ, Cornelissen JH, Day TA, Fosaa AM, Gould WA, Grétarsdóttir J, Harte J, Hermanutz L, Hik DS, Hofgaard A, Jarrad F, Jónsdóttir IS, Keuper F, Klanderud K, Klein JA, Koh S, Kudo G, Lang SI, Loewen V, May JL, Mercado J, Michelsen A, Molau U, Myers-Smith IH, Oberbauer SF, Pieper S, Post E, Rixen C, Robinson CH, Schmidt NM, Shaver GR, Stenström A, Tolvanen A, Totland O, Troxler T, Wahren CH, Webber PJ, Welker JM, and Wookey PA
- Subjects
- Arctic Regions, Biodiversity, Models, Biological, Adaptation, Biological, Ecosystem, Global Warming, Plant Development
- Abstract
Understanding the sensitivity of tundra vegetation to climate warming is critical to forecasting future biodiversity and vegetation feedbacks to climate. In situ warming experiments accelerate climate change on a small scale to forecast responses of local plant communities. Limitations of this approach include the apparent site-specificity of results and uncertainty about the power of short-term studies to anticipate longer term change. We address these issues with a synthesis of 61 experimental warming studies, of up to 20 years duration, in tundra sites worldwide. The response of plant groups to warming often differed with ambient summer temperature, soil moisture and experimental duration. Shrubs increased with warming only where ambient temperature was high, whereas graminoids increased primarily in the coldest study sites. Linear increases in effect size over time were frequently observed. There was little indication of saturating or accelerating effects, as would be predicted if negative or positive vegetation feedbacks were common. These results indicate that tundra vegetation exhibits strong regional variation in response to warming, and that in vulnerable regions, cumulative effects of long-term warming on tundra vegetation - and associated ecosystem consequences - have the potential to be much greater than we have observed to date., (© 2011 Blackwell Publishing Ltd/CNRS.)
- Published
- 2012
- Full Text
- View/download PDF
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