Climate Change Data Portal
DOI | 10.1111/ecog.04616 |
Understanding ecological change across large spatial, temporal and taxonomic scales: integrating data and methods in light of theory | |
Rapacciuolo, Giovanni1,2; Blois, Jessica L.1 | |
发表日期 | 2019 |
ISSN | 0906-7590 |
EISSN | 1600-0587 |
卷号 | 42期号:7页码:1247-1266 |
英文摘要 | The difficulty of integrating multiple theories, data and methods has slowed progress towards making unified inferences of ecological change generalizable across large spatial, temporal and taxonomic scales. However, recent progress towards a theoretical synthesis now provides a guiding framework for organizing and integrating all primary data and methods for spatiotemporal assemblage-level inference in ecology. In this paper, we describe how recent theoretical developments can provide an organizing paradigm for linking advances in data collection and methodological frameworks across disparate ecological sub-disciplines and across large spatial and temporal scales. First, we summarize the set of fundamental processes that determine change in multispecies assemblages across spatial and temporal scales by reviewing recent theoretical syntheses of community ecology. Second, we review recent advances in data and methods across the main sub-disciplines concerned with ecological inference across large spatial, temporal and taxonomic scales, and organize them based on the primary fundamental processes they include, rather than the spatiotemporal scale of their inferences. Finally, we highlight how iteratively focusing on only one fundamental process at a time, but combining all relevant spatiotemporal data and methods, may reduce the conceptual challenges to integration among ecological sub-disciplines. Moreover, we discuss a number of avenues for decreasing the practical barriers to integration among data and methods. We aim to reconcile the recent convergence of decades of thinking in community ecology and macroecology theory with the rapid progress in spatiotemporal approaches for assemblage-level inference, at a time where a robust understanding of spatiotemporal change in ecological assemblages is more crucial than ever to conserve biodiversity. |
WOS研究方向 | Biodiversity & Conservation ; Environmental Sciences & Ecology |
来源期刊 | ECOGRAPHY |
文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/99935 |
作者单位 | 1.Univ Calif Merced, Life & Environm Sci, 5200 N Lake Rd, Merced, CA 95343 USA; 2.Calif Acad Sci, San Francisco, CA 94118 USA |
推荐引用方式 GB/T 7714 | Rapacciuolo, Giovanni,Blois, Jessica L.. Understanding ecological change across large spatial, temporal and taxonomic scales: integrating data and methods in light of theory[J],2019,42(7):1247-1266. |
APA | Rapacciuolo, Giovanni,&Blois, Jessica L..(2019).Understanding ecological change across large spatial, temporal and taxonomic scales: integrating data and methods in light of theory.ECOGRAPHY,42(7),1247-1266. |
MLA | Rapacciuolo, Giovanni,et al."Understanding ecological change across large spatial, temporal and taxonomic scales: integrating data and methods in light of theory".ECOGRAPHY 42.7(2019):1247-1266. |
条目包含的文件 | 条目无相关文件。 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。