Header

UZH-Logo

Maintenance Infos

Habitat restoration and the recovery of metacommunities


Gawecka, Klementyna A; Bascompte, Jordi (2023). Habitat restoration and the recovery of metacommunities. Journal of Applied Ecology, 60(8):1622-1636.

Abstract

Ecosystem restoration is becoming a widely recognised solution to the biodiversity crisis. However, there is still a gap between restoration science and practice. Specifically, we lack a theoretical framework which would improve our understanding of ecosystems’ recovery and allow us to optimise restoration design. Here, we narrow this gap by developing spatially-explicit metacommunity models and studying the recovery dynamics of communities during restoration. We show that community response depends on how damaged the landscape is prior to restoration, with highly fragmented landscapes imposing greater challenges to community recovery. In such cases, recovery depends on the type of interaction and the structure of the interaction network. Furthermore, we demonstrate that community recovery can be maximised with careful spatial planning. Specifically, when recovering communities composed of antagonistic interactions, restoration should target areas adjacent to the most species-rich sites. In the case of mutualistic communities, the same strategy should be adopted in the short-term, whereas in the long-term, restoration should be extended to sites that improve the overall connectivity of the landscape.
Synthesis and applications: Our results highlight the importance of considering interactions between species and spatial planning in restoration projects. Moreover, they provide insights into improving the efficiency of restoration, and thus can help guide the design of restoration projects.

Abstract

Ecosystem restoration is becoming a widely recognised solution to the biodiversity crisis. However, there is still a gap between restoration science and practice. Specifically, we lack a theoretical framework which would improve our understanding of ecosystems’ recovery and allow us to optimise restoration design. Here, we narrow this gap by developing spatially-explicit metacommunity models and studying the recovery dynamics of communities during restoration. We show that community response depends on how damaged the landscape is prior to restoration, with highly fragmented landscapes imposing greater challenges to community recovery. In such cases, recovery depends on the type of interaction and the structure of the interaction network. Furthermore, we demonstrate that community recovery can be maximised with careful spatial planning. Specifically, when recovering communities composed of antagonistic interactions, restoration should target areas adjacent to the most species-rich sites. In the case of mutualistic communities, the same strategy should be adopted in the short-term, whereas in the long-term, restoration should be extended to sites that improve the overall connectivity of the landscape.
Synthesis and applications: Our results highlight the importance of considering interactions between species and spatial planning in restoration projects. Moreover, they provide insights into improving the efficiency of restoration, and thus can help guide the design of restoration projects.

Statistics

Citations

Dimensions.ai Metrics
3 citations in Web of Science®
3 citations in Scopus®
Google Scholar™

Altmetrics

Downloads

8 downloads since deposited on 27 Jun 2023
8 downloads since 12 months
Detailed statistics

Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Evolutionary Biology and Environmental Studies
Dewey Decimal Classification:570 Life sciences; biology
590 Animals (Zoology)
Scopus Subject Areas:Physical Sciences > Ecology
Language:English
Date:1 August 2023
Deposited On:27 Jun 2023 15:40
Last Modified:29 Jun 2024 01:36
Publisher:Wiley-Blackwell Publishing, Inc.
ISSN:0021-8901
OA Status:Hybrid
Free access at:Publisher DOI. An embargo period may apply.
Publisher DOI:https://doi.org/10.1111/1365-2664.14445
  • Content: Published Version
  • Language: English
  • Licence: Creative Commons: Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)