A network prediction model to quantify relationship between biodiversity and ecosystem functioning (BEF)

Author:

Hou Jian1ORCID,Fanin Nicolas2ORCID,Ni Zizhao3

Affiliation:

1. School of Soil and Water Conservation Beijing Forestry University Beijing China

2. INRAE, Bordeaux Sciences Agro, UMR 1391 ISPA Villenave‐dʼOrnon France

3. Faculty of Geographical Science Beijing Normal University Beijing China

Abstract

Abstract Biodiversity loss has a large impact on many ecosystem functions (EFs). It is urgent to quantify the effect of biodiversity loss on EFs, and much efforts are needed to determine quantitatively the relationship between biodiversity and ecosystem functions (BEF). In this review, we first summarised the mechanistic models commonly applied in current BEF studies, and proposed a new BEF model based on species interaction networks. The ‘network attenuation model’, which is built up by an unsaturated network, quantifies BEF. Then, the implication of network attenuation model for the scale dependence of BEF has been studied. Finally, the network attenuation model has been tested using data from the BIODEPTH project. We found that fitting models with the network attenuation model provided better results than other common fitting methods. The model fitting results revealed the scale dependence in BEF relationships, and demonstrated nonlinear changes in the BEF‐slope with the spatial scale. We conclude that the network attenuation model can be used as an alternative approach to estimate BEF, and the information from this model can provide meaningful guidance for the allocation of resources for conservation efforts worldwide. More efforts will be necessary assess the effect of biodiversity on various EFs as the importance of interactions among species and species richness may also vary over time.

Funder

National Key Research and Development Program of China

Publisher

Wiley

Subject

Ecological Modeling,Ecology, Evolution, Behavior and Systematics

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