Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1111/ele.12736 |
Predictability in community dynamics | |
Blonder, Benjamin1,2; Moulton, Derek E.3; Blois, Jessica4; Enquist, Brian J.5; Graae, Bente J.2; Macias-Fauria, Marc9; McGill, Brian6; Nogue, Sandra7; Ordonez, Alejandro8; Sandel, Brody8; Svenning, Jens-Christian8 | |
2017-03-01 | |
发表期刊 | ECOLOGY LETTERS |
ISSN | 1461-023X |
EISSN | 1461-0248 |
出版年 | 2017 |
卷号 | 20期号:3 |
文章类型 | Article |
语种 | 英语 |
国家 | England; Norway; USA; Denmark |
英文摘要 | The coupling between community composition and climate change spans a gradient from no lags to strong lags. The no-lag hypothesis is the foundation of many ecophysiological models, correlative species distribution modelling and climate reconstruction approaches. Simple lag hypotheses have become prominent in disequilibrium ecology, proposing that communities track climate change following a fixed function or with a time delay. However, more complex dynamics are possible and may lead to memory effects and alternate unstable states. We develop graphical and analytic methods for assessing these scenarios and show that these dynamics can appear in even simple models. The overall implications are that (1) complex community dynamics may be common and (2) detailed knowledge of past climate change and community states will often be necessary yet sometimes insufficient to make predictions of a community's future state. |
英文关键词 | Alternate states chaos climate change community assembly community climate community response diagram disequilibrium hysteresis lag memory effects |
领域 | 资源环境 |
收录类别 | SCI-E |
WOS记录号 | WOS:000395169300002 |
WOS关键词 | CLIMATE-CHANGE ; SPECIES DISTRIBUTION ; ECOLOGICAL CHANGE ; VEGETATION CHANGE ; EXTINCTION DEBT ; REGIME SHIFTS ; NICHES ; DISEQUILIBRIUM ; BIODIVERSITY ; ECOSYSTEMS |
WOS类目 | Ecology |
WOS研究方向 | Environmental Sciences & Ecology |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/31180 |
专题 | 资源环境科学 |
作者单位 | 1.Univ Oxford, Sch Geog & Environm, Environm Change Inst, Oxford OX1 3QY, England; 2.Norwegian Univ Sci & Technol, Dept Biol, N-7491 Trondheim, Norway; 3.Univ Oxford, Math Inst, Oxford OX2 6GG, England; 4.Univ Calif Merced, Sch Nat Sci, Merced, CA 95343 USA; 5.Univ Arizona, Dept Ecol & Evolutionary Biol, Tucson, AZ 85721 USA; 6.Univ Maine, Sch Biol & Ecol, Orono, ME 04469 USA; 7.Univ Southampton, Dept Geog & Environm, Southampton SO17 1BJ, Hants, England; 8.Aarhus Univ, Dept Biosci, Sect Biodivers & Ecoinformat, DK-8000 Aarhus C, Denmark; 9.Univ Oxford, Sch Geog & Environm, Oxford OX1 3QY, England |
推荐引用方式 GB/T 7714 | Blonder, Benjamin,Moulton, Derek E.,Blois, Jessica,et al. Predictability in community dynamics[J]. ECOLOGY LETTERS,2017,20(3). |
APA | Blonder, Benjamin.,Moulton, Derek E..,Blois, Jessica.,Enquist, Brian J..,Graae, Bente J..,...&Svenning, Jens-Christian.(2017).Predictability in community dynamics.ECOLOGY LETTERS,20(3). |
MLA | Blonder, Benjamin,et al."Predictability in community dynamics".ECOLOGY LETTERS 20.3(2017). |
条目包含的文件 | 条目无相关文件。 |
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