Literature DB >> 28986167

Nonlocal grazing in patterned ecosystems.

E Siero1.   

Abstract

Many ecosystems exhibit gapped, labyrinthine, striped or spotted patterns. Important examples are vegetation patterns in drylands: these patterns are viewed as precursors of a catastrophic transition to a degraded state. A possible source of degradation is overgrazing, but many current spatially extended models include grazing in a local linear way. In this article nonlocal grazing responses are derived, taking into account (1) how many consumers there are (demographic response) (2) where they are (aggregative response) and (3) how much they forage (functional response). Different assumptions lead to different grazing responses, the type of grazing has a large influence on how ecosystems adapt to changing environmental conditions. In dryland simulations the different types of grazing are shown to alter the desertification process driven by decreasing rainfall. A sufficiently strong aggregative response leads to the suppression of vegetation patterns, nuancing their role as generic early warning signals.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Keywords:  Desertification; Functional, demographic and aggregative response; Land degradation; Overgrazing; Partial integro-differential equation; Spatial modelling

Mesh:

Year:  2017        PMID: 28986167     DOI: 10.1016/j.jtbi.2017.10.001

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  3 in total

1.  An integrodifference model for vegetation patterns in semi-arid environments with seasonality.

Authors:  Lukas Eigentler; Jonathan A Sherratt
Journal:  J Math Biol       Date:  2020-09-04       Impact factor: 2.259

2.  Foraging behaviours lead to spatiotemporal self-similar dynamics in grazing ecosystems.

Authors:  Zhenpeng Ge; Quan-Xing Liu
Journal:  Ecol Lett       Date:  2021-11-22       Impact factor: 11.274

3.  Signatures of human impact on self-organized vegetation in the Horn of Africa.

Authors:  Karna Gowda; Sarah Iams; Mary Silber
Journal:  Sci Rep       Date:  2018-02-26       Impact factor: 4.379

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.