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| DOI | 10.1111/ele.13279 |
| Mutualistic networks: moving closer to a predictive theory | |
| Valdovinos F.S. | |
| 发表日期 | 2019 |
| ISSN | 1461023X |
| 卷号 | 22期号:9 |
| 英文摘要 | Plant–animal mutualistic networks sustain terrestrial biodiversity and human food security. Global environmental changes threaten these networks, underscoring the urgency for developing a predictive theory on how networks respond to perturbations. Here, I synthesise theoretical advances towards predicting network structure, dynamics, interaction strengths and responses to perturbations. I find that mathematical models incorporating biological mechanisms of mutualistic interactions provide better predictions of network dynamics. Those mechanisms include trait matching, adaptive foraging, and the dynamic consumption and production of both resources and services provided by mutualisms. Models incorporating species traits better predict the potential structure of networks (fundamental niche), while theory based on the dynamics of species abundances, rewards, foraging preferences and reproductive services can predict the extremely dynamic realised structures of networks, and may successfully predict network responses to perturbations. From a theoretician's standpoint, model development must more realistically represent empirical data on interaction strengths, population dynamics and how these vary with perturbations from global change. From an empiricist's standpoint, theory needs to make specific predictions that can be tested by observation or experiments. Developing models using short-term empirical data allows models to make longer term predictions of community dynamics. As more longer term data become available, rigorous tests of model predictions will improve. © 2019 John Wiley & Sons Ltd/CNRS |
| 英文关键词 | Adaptive foraging; consumer–resource models; floral rewards; forbidden links; Lotka–Volterra model of mutualism; nestedness; plant–frugivore networks; plant–pollinator networks; reproductive services; species traits |
| 语种 | 英语 |
| scopus关键词 | adaptive radiation; biodiversity; community dynamics; ecological modeling; ecological theory; environmental change; food security; frugivory; global change; mutualism; nestedness; network analysis; plant-herbivore interaction; plant-pollinator interaction; population dynamics; prediction; reproductive biology; resource assessment; Animalia; animal; appetitive behavior; biodiversity; biological model; plant; pollination; population dynamics; reproduction; symbiosis; Animals; Appetitive Behavior; Biodiversity; Models, Biological; Plants; Pollination; Population Dynamics; Reproduction; Symbiosis |
| 来源期刊 | Ecology Letters
 |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/121183 |
| 作者单位 | Department of Ecology and Evolutionary Biology & Center for the Study of Complex Systems, University of Michigan, Ann Arbor, MI, United States |
| 推荐引用方式 GB/T 7714 | Valdovinos F.S.. Mutualistic networks: moving closer to a predictive theory[J],2019,22(9). |
| APA | Valdovinos F.S..(2019).Mutualistic networks: moving closer to a predictive theory.Ecology Letters,22(9). |
| MLA | Valdovinos F.S.."Mutualistic networks: moving closer to a predictive theory".Ecology Letters 22.9(2019). |
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