Incorporating habitat suitability into community projections: Ant responses to climate change in the Australian Wet Tropics

Abstract

Aim Studies of climate change impacts on animal distributions typically consider only the direct impacts of a changing climate, under the assumption that future areas of suitable climate will otherwise remain ecologically suitable. Here we assess both the direct and indirect impacts of climate change on rain forest ant communities, where substantial shifts are projected to occur for both climate and habitat types. Location Australian Wet Tropics (AWT). Methods Generalized Dissimilarity Modelling was used to model turnover in the composition of ~300 rain forest ant species sampled at 150 sites across six mountains spanning five degrees of latitude. Ants were sampled within the leaf litter, on the litter surface and on tree trunks. By modelling the rate of turnover among sites, we determined the current effective area of similar ecological environments (SEE) for ant communities and consequently the expected change in species persistence when habitat shifts under two climate projections for the years 2035, 2055 and 2085. We compared results when SEE considered only the direct effects of a changing climate, with those when changes in habitat were also included. Results The rain forest ant communities modelled will lose a substantial proportion of SEE under both climate change scenarios. Under combined direct (changes in climate) and indirect (changes in rain forest habitat) impacts of climate change, >90% of the communities in the region were predicted to lose up to half their similar habitats compared with 50%–60% when only considering direct climate change impacts. The highest risk of reduction in area of SEE is projected in drier inland areas of the AWT, where profound compositional turnover is linked to dramatic changes in rain forest vegetation, including extensive conversion into savanna. Main conclusions Our findings emphasize the importance of incorporating habitat suitability into future projections of species turnover under a changing climate, particularly for habitats where vegetation structure is projected to undergo profound change.

Diversity and Distribution of the Dominant Ant Genus Anonychomyrma (Hymenoptera: Formicidae) in the Australian Wet Tropics

“…The arboreal foraging habits of Anonychomyrma may provide some options to behaviourally regulate climate exposure, given the strong thermal gradient along trees [90][91][92]. However, the increasingly warm and more seasonal climate that is forecasted for the Australian Wet Tropics [34], along with significant predicted shifts of habitat from rainforest to drier vegetation types [65], places these Gondwanan mountain-top relics under increasing threat.…”

“…We clipped all climate variables to rainforest extent in the AWT. We selected nine of the seventeen climate variables that were most ecologically relevant [42,[64][65][66]. We looked for collinearity in variables by looking at all pairwise interactions between continuous covariates using Pearson's correlation coefficient.…”

Arboreality drives heat tolerance while elevation drives cold tolerance in tropical rainforest ants

“…Chris Roach, QPWS). Wet Tropics montane ants are also likely to be significantly affected by drying out of upland rainforests predicted with climate change (Nowrouzi et al 2019). The orographic cloud layer is predicted to shift from 600 m asl to approximately 900 m asl by 2050 (WTMA 2013, Nowrouzi et al 2019).…”

Climate change challenges IUCN conservation priorities: a test with western Mediterranean amphibians

“…Reductions could be more intense independently of taxonomic group in specialist species [34], therefore the conservation status of specialist species is likely to be modified under future scenarios. Projections of future habitat suitability have been tested in groups as diverse as ants [45] or ticks [23], and ecological niche models (ENMs), including climatic models [43], have proved to be efficient for making decisions regarding conservation priorities [32,54]. Such models are commonly used to assess impacts of future climatic warming, comparing distributions under current environmental variables with conditions under future projections for these same environmental variables [47].…”