Abstract

Assessing the future of biodiversity under changing climates is plagued by uncertainty. Drawing on data for sub-Saharan African vertebrates, I focus on some of the major sources of uncertainty surrounding bioclimatic envelope model projections and on possible ways to address them. I examine the uncertainty arising from alternative climate projections and model algorithms and I summarise it through consensus building. To examine ecological uncertainty, I present a framework for teasing apart projected gains, losses, and fragmentation of climatically suitable areas; each of these threats and opportunities can be examined with reference to relevant response-mediating biological traits, such as the species’ climatic tolerance, reproductive output, and dispersal ability. A further source of uncertainty in climate change impact assessments based on bioclimatic envelope models is the omission of narrow-ranging species, which are difficult to model. I demonstrate the conservation implications of such omissions, and I investigate how climate change metrics can be used as an alternative tool in assessments. Multiple metrics of change in climate parameters, seen as proxies for the threats and opportunities facing biodiversity, are reviewed and illustrated at the global scale, and compared to bioclimatic models for sub-Saharan African vertebrates.

Highlights

  • Population declines, phenological shifts, and species' distributional changes observed in multiple regions prompted the first studies in climate change ecology (Nabout et al 2012)

  • Using the bioclimatic envelope models built for sub-Saharan African amphibians (Garcia et al 2012), we spatially overlay projected losses, gains and fragmentation of suitable climate areas with vulnerability classifications derived from available data on characteristics of species or species’ ranges that are associated with biological traits or complexes of traits (Foden et al 2013)

  • Species data uncertainty: extending assessments to wholesale biodiversity The uncertainties discussed above apply to projections of the exposure of sub-Saharan African vertebrates to future climate change, but exclude poorly sampled species that could not be modelled due to their small number of occurrence records (Stockwell and Peterson 2002)

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Summary

The uncertain nature of assessments of climate change impacts on species

Population declines, phenological shifts, and species' distributional changes observed in multiple regions prompted the first studies in climate change ecology (Nabout et al 2012). At the correlative end of the continuum, bioclimatic envelope models (Peterson et al 2011) use the association between known species' occurrences and climate to characterise the sets of suitable climatic conditions for species (or the realised subsets thereof). By projecting this characterisation to the future, these models provide estimates of species' exposure to climate change (see e.g., Foden et al 2013, Dickinson et al 2014). 'Data model' uncertainty: decisions about the biological and climatic data used in the modelling

Unknown future greenhouse gas emissions
Findings
Embracing uncertainty
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