Detecting preservation and reintroduction sites for endangered plant species using a two-step modelling and field approach

Details

Serval ID
serval:BIB_2861F0E66F70
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Detecting preservation and reintroduction sites for endangered plant species using a two-step modelling and field approach
Journal
Conservation Science and Practice
Author(s)
Rusconi O., Broennimann O., Storrer Y., Le Bayon R.C., Guisan A., Rasmann S.
Publication state
In Press
Peer-reviewed
Oui
Language
english
Abstract
To withstand the surge of species loss worldwide, (re)introduction of endangered plant species has become an increasingly common technique in conservation biology. Successful (re)introduction plans, however, require identifying sites that provide the optimal ecological conditions for the target species to thrive. In this study, we propose a two-step approach to identify appropriate (re)introduction sites. The first step involves modelling the niche and distribution of the species with bioclimatic and topographical predictors, both at continental and at national scales. The second step consists of refining these bioclimatic predictions by analysing stationary ecological parameters, such as soil conditions, and relating them to population-level fitness values. We demonstrate this methodology using Swiss populations of the lady’s slipper orchid (Cypripedium calceolus L., Orchidaceae), for which conservation plans have existed for years but have generally been unfruitful. Our workflow identified sites for future (re)introductions based on the species requirements for mid-to-sunny light conditions and specific soil physico-chemical properties, such as basic to neutral pH and low soil organic matter content. Our findings show that by combining wide-scale bioclimatic modelling with fine scale field measurements it is possible to carefully identify a target species’ ecological requirements for successful (re)introductions.
Keywords
Endangered plants, ecological niche, ensemble forecasting, population fitness, red list, restoration, soil properties
Create date
10/08/2022 17:26
Last modification date
11/08/2022 6:39
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