Coherence of Terrestrial Vertebrate Species Richness with External Drivers Across Scales and Taxonomic Groups

Abstract

AbstractAimUnderstanding connections between environment and biodiversity is crucial for conservation, identifying causes of ecosystem stress, and predicting population responses to changing environments. Explaining biodiversity requires an understanding of how species richness and environment co-vary across scales. Here, we identify scales and locations at which biodiversity is generated and correlates with environment.LocationFull latitudinal range per continent.Time periodPresent-day.Major taxa studiedTerrestrial vertebrates: all mammals, carnivorans, bats, songbirds, humming-birds, amphibians.MethodsWe describe the use of wavelet power spectra, cross-power and coherence for identifying scale-dependent trends across Earth’s surface. Spectra reveal scale- and location-dependent coherence between species richness and topography (E), mean annual precipitation (Pn), temperature (Tm) and annual temperature range (∆T).Results>97% of species richness of taxa studied is generated at large scales, i.e. wavelengths 103km, with 30–69% generated at scales 104km. At these scales, richness tends to be highly coherent and anti-correlated withEand ∆T, and positively correlated withPnandTm. Coherence between carnivoran richness and ∆Tis low across scales, implying insensitivity to seasonal temperature variations. Conversely, amphibian richness is strongly anti-correlated with ∆Tat large scales. At scales 103km, examined taxa, except carnivorans, show highest richness within the tropics. Terrestrial plateaux exhibit high coherence between carnivorans andEat scales∼103km, consistent with contribution of large-scale tectonic processes to biodiversity. Results are similar across different continents and for global latitudinal averages. Spectral admittance permits derivation of rules-of-thumb relating long-wavelength environmental and species richness trends.Main conclusionsSensitivities of mammal, bird and amphibian populations to environment are highly scale-dependent. At large scales, carnivoran richness is largely independent of temperature and precipitation, whereas amphibian richness correlates strongly with precipitation and temperature, and anti-correlates with temperature range. These results pave the way for spectral-based calibration of models that predict biodiversity response to climate change scenarios.