DOI: 10.1111/ele.12810
Scopus记录号: 2-s2.0-85026317941
论文题名: Modelling nutritional mutualisms: challenges and opportunities for data integration
作者: Clark T.J. ; Friel C.A. ; Grman E. ; Shachar-Hill Y. ; Friesen M.L.
刊名: Ecology Letters
ISSN: 1461023X
EISSN: 1461-0248
出版年: 2017
卷: 20, 期: 9 起始页码: 1203
结束页码: 1215
语种: 英语
英文关键词: Biological markets
; game theory
; metabolic networks
; mutualism
; mycorrhiza
; network theory
; plant-microbe interactions
; population dynamics
; rhizobia
; trade
Scopus关键词: ecological modeling
; game theory
; interspecific interaction
; metabolism
; mutualism
; mycorrhiza
; numerical model
; nutritional status
; population dynamics
; resource availability
; rhizobacterium
; biological model
; ecology
; ecosystem
; evolution
; plant
; symbiosis
; Biological Evolution
; Ecology
; Ecosystem
; Models, Biological
; Plants
; Symbiosis
英文摘要: Nutritional mutualisms are ancient, widespread, and profoundly influential in biological communities and ecosystems. Although much is known about these interactions, comprehensive answers to fundamental questions, such as how resource availability and structured interactions influence mutualism persistence, are still lacking. Mathematical modelling of nutritional mutualisms has great potential to facilitate the search for comprehensive answers to these and other fundamental questions by connecting the physiological and genomic underpinnings of mutualisms with ecological and evolutionary processes. In particular, when integrated with empirical data, models enable understanding of underlying mechanisms and generalisation of principles beyond the particulars of a given system. Here, we demonstrate how mathematical models can be integrated with data to address questions of mutualism persistence at four biological scales: cell, individual, population, and community. We highlight select studies where data has been or could be integrated with models to either inform model structure or test model predictions. We also point out opportunities to increase model rigour through tighter integration with data, and describe areas in which data is urgently needed. We focus on plant-microbe systems, for which a wealth of empirical data is available, but the principles and approaches can be generally applied to any nutritional mutualism. © 2017 John Wiley & Sons Ltd/CNRS Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/107577
Appears in Collections: 气候减缓与适应
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作者单位: Department of Plant Biology, Michigan State University, 612 Wilson Rd., East Lansing, MI, United States; Biology Department, Eastern Michigan University, 441 Mark Jefferson Science Complex, Ypsilanti, MI, United States
Recommended Citation:
Clark T.J.,Friel C.A.,Grman E.,et al. Modelling nutritional mutualisms: challenges and opportunities for data integration[J]. Ecology Letters,2017-01-01,20(9)