TY - JOUR
T1 - Variable vulnerability to climate change in New Zealand lizards
AU - Jarvie, Scott
AU - Ingram, Travis
AU - Chapple, David G.
AU - Hitchmough, Rodney A.
AU - Nielsen, Stuart V.
AU - Monks, Joanne M.
N1 - Funding Information:
For occurrence records and tissue samples, we thank Te Papa Atawhai | Department of Conservation (DOC), Tony Jewell, Marieke Lettink, Dylan van Winkel and numerous others. For this particular research, collecting permits were not needed. We thank Alison Cree for early discussions on the use of species distribution models, and DOC, regional councils and iwi (Māori tribes) for support. We also thank the editorial team, including Christine Meynard, Ge‐Xia Qiao and Michael Dawson, and two anonymous reviewers for providing constructive comments on earlier versions of the manuscript. Funding was provided by a DOC contract to SJ. DGC was supported by a grant from the Australian Research Council (FT200100108)
Publisher Copyright:
© 2022 John Wiley & Sons Ltd
PY - 2022/2
Y1 - 2022/2
N2 - Aim: The primary drivers of species and population extirpations have been habitat loss, overexploitation and invasive species, but human-mediated climate change is expected to be a major driver in future. To minimise biodiversity loss, conservation managers should identify species vulnerable to climate change and prioritise their protection. Here, we estimate climatic suitability for two species-rich taxonomic groups, then use phylogenetic analyses to assess vulnerability to climate change. Location: Aotearoa New Zealand (NZ). Taxa: NZ lizards: diplodactylid geckos and eugongylinae skinks. Methods: We built correlative species distribution models (SDMs) for NZ geckos and skinks to estimate climatic suitability under current climate and 2070 future climate scenarios. We then used Bayesian phylogenetic mixed models (BPMMs) to assess vulnerability for both groups with predictor variables for life-history traits (body size and activity phase) and current distribution (elevation and latitude). We explored two scenarios: an unlimited dispersal scenario, where projections track climate, and a no-dispersal scenario, where projections are restricted to areas currently identified as suitable. Results: SDMs projected vulnerability to climate change for most modelled lizards. For species' ranges projected to decline in climatically suitable areas, average decreases were between 42% and 46% for geckos and 33% and 52% for skinks, although area did increase or remain stable for a minority of species. For the no-dispersal scenario, the average decrease for geckos was 37%–52% and for skinks was 33%–52%. Our BPMMs showed phylogenetic signal in climate change vulnerability for both groups, with elevation increasing vulnerability for geckos, and body size reducing vulnerability for skinks. Main conclusions: New Zealand lizards showed variable vulnerability to climate change, with most species' ranges predicted to decrease. For species whose suitable climatic space is projected to disappear from within their current range, managed relocation could be considered to establish populations in regions that will be suitable under future climates.
AB - Aim: The primary drivers of species and population extirpations have been habitat loss, overexploitation and invasive species, but human-mediated climate change is expected to be a major driver in future. To minimise biodiversity loss, conservation managers should identify species vulnerable to climate change and prioritise their protection. Here, we estimate climatic suitability for two species-rich taxonomic groups, then use phylogenetic analyses to assess vulnerability to climate change. Location: Aotearoa New Zealand (NZ). Taxa: NZ lizards: diplodactylid geckos and eugongylinae skinks. Methods: We built correlative species distribution models (SDMs) for NZ geckos and skinks to estimate climatic suitability under current climate and 2070 future climate scenarios. We then used Bayesian phylogenetic mixed models (BPMMs) to assess vulnerability for both groups with predictor variables for life-history traits (body size and activity phase) and current distribution (elevation and latitude). We explored two scenarios: an unlimited dispersal scenario, where projections track climate, and a no-dispersal scenario, where projections are restricted to areas currently identified as suitable. Results: SDMs projected vulnerability to climate change for most modelled lizards. For species' ranges projected to decline in climatically suitable areas, average decreases were between 42% and 46% for geckos and 33% and 52% for skinks, although area did increase or remain stable for a minority of species. For the no-dispersal scenario, the average decrease for geckos was 37%–52% and for skinks was 33%–52%. Our BPMMs showed phylogenetic signal in climate change vulnerability for both groups, with elevation increasing vulnerability for geckos, and body size reducing vulnerability for skinks. Main conclusions: New Zealand lizards showed variable vulnerability to climate change, with most species' ranges predicted to decrease. For species whose suitable climatic space is projected to disappear from within their current range, managed relocation could be considered to establish populations in regions that will be suitable under future climates.
UR - https://www.scopus.com/pages/publications/85123829001
U2 - 10.1111/jbi.14314
DO - 10.1111/jbi.14314
M3 - Article
AN - SCOPUS:85123829001
SN - 0305-0270
VL - 49
SP - 431
EP - 442
JO - Journal of Biogeography
JF - Journal of Biogeography
IS - 2
ER -