Behind the scenes of population viability modeling: Predicting butterfly metapopulation dynamics under climate change

Authored by Volker Grimm, Juergen Groeneveld, Viktoriia Radchuk, Karin Johst, Nicolas Schtickzelle

Date Published: 2013

DOI: 10.1016/j.ecolmodel.2013.03.014

Sponsors: National Fund for Scientific Research of Belgium (F.R.S.-FNRS)

Platforms: NetLogo

Model Documentation: ODD Flow charts Mathematical description

Model Code URLs: Model code not found

Abstract

Studies explaining the choice of model structure for population viability analysis (PVA) are rare and no such study exists for butterfly species, a focal group for conservation. Here, we describe in detail the development of a model to predict population viability of a glacial relict butterfly species, Boloria eunomia, under climate change. We compared four alternative formulations of an individual-based model, differing in the environmental factors acting on the survival of immature life stages: temperature (only temperature impact), weather (temperature, precipitation, and sunshine), temperature and parasitism, and weather and parasitism. Following pattern-oriented modeling, four observed patterns were used to contrast these models: one qualitative (response of population size to habitat parameters) and three quantitative ones describing population dynamics during eight years (mean and variability of population size, and magnitude of the temporal autocorrelation in yearly population growth rates). The four model formulations were not equally able to depict population dynamics under current environmental conditions; the model including only temperature was selected as the most parsimonious model sufficiently well reproducing the empirical patterns. We used all four model formulations to test a range of climate change scenarios that were characterized by changes in both mean and variability of the weather variables. All models predicted adverse effects of climate change and resulted in the same ranking of mean climate change scenarios. However, models differed in their absolute values of population viability measures, underlining the need to explicitly choose the most appropriate model formulation and avoid arbitrary usage of environmental drivers in a model. We conclude that further applications of pattern-oriented modeling to butterfly and other species are likely to help in identifying the key factors impacting the viability of certain taxa, which, ultimately, will aid and speed up informed management decisions for endangered species under climate change. (C) 2013 Elsevier B.V. All rights reserved.

Tags

Conservation pattern Temperature Survival Life-history Individual-based model Lepidoptera New-york Coenonympha-tullia larvae Resource-based habitat