The Distance to Reference Communities Index (DRCI): a new tool to assess communities' restoration success
The concept of a reference ecosystem is fundamental in restoration ecology, especially in assessing the success of ecological restoration projects. In response to criticism, it has undergone conceptual evolutions in its definition and use in the last decades. Even though there is still a need to dev...
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Published in | Restoration ecology Vol. 32; no. 7 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
Malden, USA
Wiley Periodicals, Inc
01.09.2024
Blackwell Publishing Ltd Wiley |
Subjects | |
Online Access | Get full text |
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Abstract | The concept of a reference ecosystem is fundamental in restoration ecology, especially in assessing the success of ecological restoration projects. In response to criticism, it has undergone conceptual evolutions in its definition and use in the last decades. Even though there is still a need to develop statistical methods and analyses to account for reference variability. Here, we focus on two original and one literature‐based calculation methods for designed indexes, which all aim to compare a community to be assessed (undergoing restoration) with a variable set of reference communities. These methods either use the average reference situation (species composition and abundance) as the restoration target or on the contrary, allow any reference site to be considered a relevant target. We compare the results of these methods by analyzing a simulated dataset. We then illustrate the application of the most relevant index by a real case study that compared a created Mediterranean temporary pond to a panel of 27 reference ponds located in the south of France. The results show that the Distance to Reference Communities Index (DRCI) correctly measures differences in species composition and abundance between an assessed and a reference panel of communities. It takes into account the variability of the reference communities, while the use of other indexes focuses on unrealistic average and fixed reference values. DRCI is complementary to a detailed ecological interpretation and to the use of other commonly used indexes, by giving a synthetic metric. |
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AbstractList | The concept of a reference ecosystem is fundamental in restoration ecology, especially in assessing the success of ecological restoration projects. In response to criticism, it has undergone conceptual evolutions in its definition and use in the last decades. Even though there is still a need to develop statistical methods and analyses to account for reference variability. Here, we focus on two original and one literature‐based calculation methods for designed indexes, which all aim to compare a community to be assessed (undergoing restoration) with a variable set of reference communities. These methods either use the average reference situation (species composition and abundance) as the restoration target or on the contrary, allow any reference site to be considered a relevant target. We compare the results of these methods by analyzing a simulated dataset. We then illustrate the application of the most relevant index by a real case study that compared a created Mediterranean temporary pond to a panel of 27 reference ponds located in the south of France. The results show that the Distance to Reference Communities Index (DRCI) correctly measures differences in species composition and abundance between an assessed and a reference panel of communities. It takes into account the variability of the reference communities, while the use of other indexes focuses on unrealistic average and fixed reference values. DRCI is complementary to a detailed ecological interpretation and to the use of other commonly used indexes, by giving a synthetic metric. |
Author | Hugo, Fontès Dutoit, Thierry Grillas, Patrick Christian, Marquis Franck, Torre Mesléard, François |
Author_xml | – sequence: 1 givenname: Fontès orcidid: 0000-0002-7826-6680 surname: Hugo fullname: Hugo, Fontès email: fontes@tourduvalat.org organization: Avignon University, CNRS, IRD, Aix Marseille University, IUT site Agroparc, BP 61207, 84911 – sequence: 2 givenname: Marquis surname: Christian fullname: Christian, Marquis organization: Tour du Valat Research Institute – sequence: 3 givenname: Torre orcidid: 0000-0002-0864-0489 surname: Franck fullname: Franck, Torre organization: Avignon University, CNRS, IRD, Aix Marseille University, IUT site Agroparc, BP 61207, 84911 – sequence: 4 givenname: Patrick orcidid: 0000-0002-7448-148X surname: Grillas fullname: Grillas, Patrick organization: Tour du Valat Research Institute – sequence: 5 givenname: Thierry orcidid: 0000-0001-9461-9215 surname: Dutoit fullname: Dutoit, Thierry organization: Avignon University, CNRS, IRD, Aix Marseille University, IUT site Agroparc, BP 61207, 84911 – sequence: 6 givenname: François orcidid: 0000-0003-1716-9438 surname: Mesléard fullname: Mesléard, François organization: Avignon University, CNRS, IRD, Aix Marseille University, IUT site Agroparc, BP 61207, 84911 |
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Keywords | ecosystem variability reference ecosystem Mediterranean temporary ponds restoration assessment Implications communities |
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Notes | Author contributions: FH, GP, DT, MF defined the conceptual framework, the objective of the study, and the protocol; FH carried out the fieldwork and wrote the first version of the manuscript; MC, FH formalized the proposed new index; FH, MC, TF, GP, DT, MF analyzed the data and writed the manuscript. ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 |
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SubjectTerms | Abundance case studies communities Community composition Composition data collection Distance ecological restoration ecosystem variability ecosystems Environmental restoration Environmental Sciences France Mediterranean temporary ponds Ponds reference ecosystem Restoration restoration assessment Species composition species diversity Statistical methods Temporary ponds Variability |
Title | The Distance to Reference Communities Index (DRCI): a new tool to assess communities' restoration success |
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