Predicting population viability of a monocarpic perennial dune thistle using individual-based models

Halsey, Samniqueka J.; Cinel, Scott D; Wilson, Jared C.; Bell, Timothy J.; Bowles, Marlin L.

doi:10.1016/j.ecolmodel.2017.06.014

Cited by 1 publication

(1 citation statement)

References 22 publications

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“…Nevertheless, as we have shown, the models that we present here are useful to compare real spatial configurations as well as to gauge the predictions for different management scenarios. In this sense, metapopulation analysis has already proved to be a useful planning tool when limited demographic data are available (Che‐Castaldo & Neel, 2016) and for habitat restoration projects when both time and economics resources are scarce (Halsey et al, 2017; Machinski & Quintana‐Ascencio, 2016; Menges, 2008).…”

Section: Discussionmentioning

confidence: 99%

Conservation strategies for endangered arable plant Euphorbia gaditana

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et al. 2022

Conservat Sci and Prac

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Fragmentation and habitat loss are considered among the most important threats to biodiversity. More precisely, transformation of natural habitats into farmlands has been identified as one of the primary causes of plant species extinction. Therefore, understanding the effects of habitat fragmentation is crucial to the successful conservation of threatened species. Metapopulation modeling is one of the prospective tools used in conservation biology to evaluate long‐term survival in fragmented landscapes. In this work, we applied a metapopulation approach to the conservation of the rare plant Euphorbia gaditana Coss., an endangered species growing on the margins of crops in southern Spain. The species is threatened due to herbicide application and intensification of cultivation, which results in a highly patchy distribution, with more than 50 patches of habitat across three separate networks of patches. We used IFM (Incidence Function Modeling) to compare the relative effectiveness of four conservation management scenarios and the effect of three threat scenarios on the risk of extinction of the species. The results of our simulations of population dynamics under plausible management scenarios will aid conservation decision‐making, for example, allowing priority conservation areas to be identified or assessing the effect of future reintroductions.

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