Phylogenetic diversity only weakly mitigates climate‐change‐driven biodiversity loss in insect communities

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Li, Zongxu, Linard, Benjamin, Vogler, Alfried P., Yu, Douglas W. and Wang, Zhengyang (2023) Phylogenetic diversity only weakly mitigates climate‐change‐driven biodiversity loss in insect communities. Molecular Ecology, 32 (23). pp. 6147-6160. ISSN 0962-1083

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Abstract

To help address the underrepresentation of arthropods and Asian biodiversity from climate-change assessments, we carried out year-long, weekly sampling campaigns with Malaise traps at different elevations and latitudes in Gaoligongshan National Park in southwestern China. From these 623 samples, we barcoded 10,524 beetles and compared scenarios of climate-change-induced biodiversity loss, by designating seasonal, elevational, and latitudinal subsets of beetles as communities that plausibly could go extinct as a group, which we call “loss sets”. The availability of a published mitochondrial-genome-based phylogeny of the Coleoptera allowed us to compare the loss of species diversity with and without accounting for phylogenetic relatedness. We hypothesised that phylogenetic relatedness would mitigate extinction, since the extinction of any loss set would result in the disappearance of all its species but only part of its evolutionary history, which is still extant in the remaining loss sets. We found different patterns of community clustering by season and latitude, depending on whether phylogenetic information was incorporated. However, accounting for phylogeny only slightly mitigated the amount of biodiversity loss under climate change scenarios, against our expectations: there is no phylogenetic “escape clause” for biodiversity conservation. We achieve the same results whether phylogenetic information was derived from the mitogenome phylogeny or from a de novo barcode-gene tree. We encourage interested researchers to use this data set to study lineage-specific community assembly patterns in conjunction with life-history traits and environmental covariates.

Item Type: Article
Additional Information: Special Issue: INSIGHTS INTO ECOLOGICAL & EVOLUTIONARY PROCESSES VIA COMMUNITY METABARCODING Research Funding: National Natural Science Foundation of China. Grant Number: 31601849; Animal Branch of the Germplasm Bank of Wild Species, Chinese Academy of Sciences; Key Research Program of Frontier Sciences, CAS. Grant Number: QYZDY-SSW-SMC024; State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology. Grant Numbers: GREKF19-01, GREKF20-01, GREKF21-01; Strategic Priority Research Program of Chinese Academy of Sciences. Grant Number: XDA20050202; Department of Organismic and Evolutionary Biology; University of East Anglia
Uncontrolled Keywords: sdg 13 - climate action ,/dk/atira/pure/sustainabledevelopmentgoals/climate_action
Faculty \ School: Faculty of Science > School of Biological Sciences
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Depositing User: LivePure Connector
Date Deposited: 15 Dec 2022 04:06
Last Modified: 29 Nov 2023 03:13
URI: https://ueaeprints.uea.ac.uk/id/eprint/90148
DOI: 10.1111/mec.16747

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