Natural disasters can have massive impacts on animal populations, and safe habitats are shrinking

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Photo by Andrew Allen via iNaturalist (CC-BY-4.0 https://creativecommons.org/licenses/by/4.0/)
Photo by Andrew Allen via iNaturalist (CC-BY-4.0 https://creativecommons.org/licenses/by/4.0/)

The percentage of land animals' habitats exposed to multiple climate-driven disaster risks is set to increase over the next 60 years, according to international researchers who say increases in heatwaves, fires and floods are set to complicate efforts to conserve animal species. They say Australian examples, including the 2019/2020 Black Summer and the 2011 WA heatwave that wiped out 60% of the Carnaby’s Black Cockatoo population, show how extreme climate events can have sudden and drastic impacts on animal populations. Combining climate change projections with species range data, the researchers have tracked the increased risk of climate extremes in the known habitats of nearly 34,000 land animals. They say by 2085, 36% of the species' current habitats will be exposed to more than one type of climate-driven extreme event.

News release

From: Potsdam Institute for Climate Impact Research (PIK), Germany

A third of animal habitats on land could experience multiple extreme events by 2085, new study

By 2085, 36 percent of species’ current habitats on land could be exposed to multiple types of climate-driven extreme events such as heatwaves, fire or floods if warming continues to rise into the latter half of the century. The findings are part of a new study published today in Nature Ecology & Evolution, authored by an international team of 18 scientists, and led by the Potsdam Institute for Climate Impact Research (PIK).

“I think climate change, and in particular extreme events, are still really being underestimated when it comes to conservation planning. It’s not just going to be a gradual shift of temperature over many years,” commented lead author Stefanie Heinicke, a postdoctoral researcher at PIK.

Just one heatwave, flood or fire can devastate animal populations. When multiple types of extreme events succeed one another, impacts on species and habitats are compounded. Previous literature showed following the 2019-2020 fires in Australia, there were 27-40 percent greater declines in plant and animal species in areas that had experienced a drought immediately beforehand.

However, rapidly cutting emissions to net zero could still largely prevent these impacts. In a scenario in which warming starts to reverse in the latter part of the century, land animal’s habitat that would experience multiple types of events by 2085 would be limited to just 9 percent.

“There’s still a lot of difference we can make by cutting emissions as fast as we can from today,” Heinicke added.

Impact modelling for biodiversity

The paper takes a novel approach to look at climate change’s impacts on biodiversity. It uses outputs from climate impact models, which can provide different kinds of data on more complex impacts from climate change beyond rising heat, such as flooded area and wildfire projections.

For example, the authors were able to see that by 2050 in a scenario in which warming continues into the latter half of the century, 74 percent of current animal habitats on land will be exposed to heatwaves, 16 percent to wildfire, 8 percent to droughts and 3 percent to river floods. This includes key species-rich areas in the Amazon basin, Africa and Southeast Asia.

“The wildfire projections being so significant is really notable. I don’t know of another study that has projected wildfire exposure for animals yet, so seeing that there is a bigger threat from fires than drought for example; this was a significant blind spot,” said Katja Frieler, a co-author on the paper who leads the Inter-Sectoral Impact Model Intercomparison Project, and is a research department head at PIK.

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Nature Ecology & Evolution
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Organisation/s: Potsdam Institute for Climate Impact Research (PIK), Germany
Funder: This research has received funding from the European Union’s Horizon Europe research and innovation programme under grant no. 101056858. We gratefully acknowledge the Ministry of Research, Science and Culture (MWFK) of Land Brandenburg for supporting this project by providing resources on the high performance computer system at the Potsdam Institute for Climate Impact Research (grant no. 22-Z105-05/002/001). This work used resources of the Deutsches Klimarechenzentrum (DKRZ) granted by its Scientific Steering Committee (WLA) under project bb0820. A.I. was partly supported by the KAKENHI Fund (grant no. 21H95318).
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