Climate change and alpine-adapted insects: modelling environmental envelopes of a grasshopper radiation

Mountains create steep environmental gradients that are sensitive barometers of climate change. We calibrated 10 statistical models to formulate ensemble ecological niche models for 12 predominantly alpine, flightless grasshopper species in Aotearoa New Zealand, using their current distributions and...

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Published inRoyal Society open science Vol. 9; no. 3; p. 211596
Main Authors Koot, Emily M., Morgan-Richards, Mary, Trewick, Steven A.
Format Journal Article
LanguageEnglish
Published England The Royal Society 01.03.2022
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Abstract Mountains create steep environmental gradients that are sensitive barometers of climate change. We calibrated 10 statistical models to formulate ensemble ecological niche models for 12 predominantly alpine, flightless grasshopper species in Aotearoa New Zealand, using their current distributions and current conditions. Niche models were then projected for two future global climate scenarios: representative concentration pathway (RCP) 2.6 (1.0°C rise) and RCP8.5 (3.7°C rise). Results were species specific, with two-thirds of our models suggesting a reduction in potential range for nine species by 2070, but surprisingly, for six species, we predict an increase in potential suitable habitat under mild (+1.0°C) or severe global warming (+3.7°C). However, when the limited dispersal ability of these flightless grasshoppers is taken into account, all 12 species studied are predicted to suffer extreme reductions in range, with a quarter likely to go extinct due to a 96–100% reduction in suitable habitat. Habitat loss is associated with habitat fragmentation that is likely to escalate stochastic vulnerability of remaining populations. Here, we present the predicted outcomes for an endemic radiation of alpine taxa as an exemplar of the challenges that alpine species, both in New Zealand and internationally, are subject to by anthropogenic climate change.
AbstractList Mountains create steep environmental gradients that are sensitive barometers of climate change. We calibrated 10 statistical models to formulate ensemble ecological niche models for 12 predominantly alpine, flightless grasshopper species in Aotearoa New Zealand, using their current distributions and current conditions. Niche models were then projected for two future global climate scenarios: representative concentration pathway (RCP) 2.6 (1.0°C rise) and RCP8.5 (3.7°C rise). Results were species specific, with two-thirds of our models suggesting a reduction in potential range for nine species by 2070, but surprisingly, for six species, we predict an increase in potential suitable habitat under mild (+1.0°C) or severe global warming (+3.7°C). However, when the limited dispersal ability of these flightless grasshoppers is taken into account, all 12 species studied are predicted to suffer extreme reductions in range, with a quarter likely to go extinct due to a 96–100% reduction in suitable habitat. Habitat loss is associated with habitat fragmentation that is likely to escalate stochastic vulnerability of remaining populations. Here, we present the predicted outcomes for an endemic radiation of alpine taxa as an exemplar of the challenges that alpine species, both in New Zealand and internationally, are subject to by anthropogenic climate change.
Mountains create steep environmental gradients that are sensitive barometers of climate change. We calibrated 10 statistical models to formulate ensemble ecological niche models for 12 predominantly alpine, flightless grasshopper species in Aotearoa New Zealand, using their current distributions and current conditions. Niche models were then projected for two future global climate scenarios: representative concentration pathway (RCP) 2.6 (1.0°C rise) and RCP8.5 (3.7°C rise). Results were species specific, with two-thirds of our models suggesting a reduction in potential range for nine species by 2070, but surprisingly, for six species, we predict an increase in potential suitable habitat under mild (+1.0°C) or severe global warming (+3.7°C). However, when the limited dispersal ability of these flightless grasshoppers is taken into account, all 12 species studied are predicted to suffer extreme reductions in range, with a quarter likely to go extinct due to a 96–100% reduction in suitable habitat. Habitat loss is associated with habitat fragmentation that is likely to escalate stochastic vulnerability of remaining populations. Here, we present the predicted outcomes for an endemic radiation of alpine taxa as an exemplar of the challenges that alpine species, both in New Zealand and internationally, are subject to by anthropogenic climate change.
Mountains create steep environmental gradients that are sensitive barometers of climate change. We calibrated 10 statistical models to formulate ensemble ecological niche models for 12 predominantly alpine, flightless grasshopper species in New Zealand, using their current distributions and current conditions. Niche models were then projected for two future global climate scenarios: representative concentration pathway (RCP) 2.6 (1.0°C rise) and RCP8.5 (3.7°C rise). Results were species specific, with two-thirds of our models suggesting a reduction in potential range for nine species by 2070, but surprisingly, for six species, we predict an increase in potential suitable habitat under mild (+1.0°C) or severe global warming (+3.7°C). However, when the limited dispersal ability of these flightless grasshoppers is taken into account, all 12 species studied are predicted to suffer extreme reductions in range, with a quarter likely to go extinct due to a 96-100% reduction in suitable habitat. Habitat loss is associated with habitat fragmentation that is likely to escalate stochastic vulnerability of remaining populations. Here, we present the predicted outcomes for an endemic radiation of alpine taxa as an exemplar of the challenges that alpine species, both in New Zealand and internationally, are subject to by anthropogenic climate change.
Mountains create steep environmental gradients that are sensitive barometers of climate change. We calibrated 10 statistical models to formulate ensemble ecological niche models for 12 predominantly alpine, flightless grasshopper species in Aotearoa New Zealand, using their current distributions and current conditions. Niche models were then projected for two future global climate scenarios: representative concentration pathway (RCP) 2.6 (1.0°C rise) and RCP8.5 (3.7°C rise). Results were species specific, with two-thirds of our models suggesting a reduction in potential range for nine species by 2070, but surprisingly, for six species, we predict an increase in potential suitable habitat under mild (+1.0°C) or severe global warming (+3.7°C). However, when the limited dispersal ability of these flightless grasshoppers is taken into account, all 12 species studied are predicted to suffer extreme reductions in range, with a quarter likely to go extinct due to a 96-100% reduction in suitable habitat. Habitat loss is associated with habitat fragmentation that is likely to escalate stochastic vulnerability of remaining populations. Here, we present the predicted outcomes for an endemic radiation of alpine taxa as an exemplar of the challenges that alpine species, both in New Zealand and internationally, are subject to by anthropogenic climate change.Mountains create steep environmental gradients that are sensitive barometers of climate change. We calibrated 10 statistical models to formulate ensemble ecological niche models for 12 predominantly alpine, flightless grasshopper species in Aotearoa New Zealand, using their current distributions and current conditions. Niche models were then projected for two future global climate scenarios: representative concentration pathway (RCP) 2.6 (1.0°C rise) and RCP8.5 (3.7°C rise). Results were species specific, with two-thirds of our models suggesting a reduction in potential range for nine species by 2070, but surprisingly, for six species, we predict an increase in potential suitable habitat under mild (+1.0°C) or severe global warming (+3.7°C). However, when the limited dispersal ability of these flightless grasshoppers is taken into account, all 12 species studied are predicted to suffer extreme reductions in range, with a quarter likely to go extinct due to a 96-100% reduction in suitable habitat. Habitat loss is associated with habitat fragmentation that is likely to escalate stochastic vulnerability of remaining populations. Here, we present the predicted outcomes for an endemic radiation of alpine taxa as an exemplar of the challenges that alpine species, both in New Zealand and internationally, are subject to by anthropogenic climate change.
Author Trewick, Steven A.
Koot, Emily M.
Morgan-Richards, Mary
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BackLink https://www.ncbi.nlm.nih.gov/pubmed/35316945$$D View this record in MEDLINE/PubMed
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Cites_doi 10.1111/2041-210X.12403
10.1111/ecog.01557
10.1016/j.ppees.2007.09.004
10.1111/gcb.13470
10.1111/j.1365-2664.2006.01214.x
10.1111/j.1365-2699.2006.01460.x
10.1111/j.1365-2745.2009.01488.x
10.1016/j.gloplacha.2014.10.012
10.1016/j.cryobiol.2015.07.008
10.1006/qres.1999.2123
10.1111/j.1365-2486.2007.01418.x
10.1016/j.ympev.2020.106783
10.1007/s10531-012-0398-8
10.1111/eva.12484
10.1080/15230430.2020.1773033
10.1111/j.1365-2486.2010.02380.x
10.1126/science.287.5459.1770
10.1111/ecog.01881
10.1038/s41598-019-40766-5
10.1016/j.tree.2018.07.005
10.1038/s41467-019-13128-y
10.1073/pnas.0409902102
10.1111/ecog.04282
10.1111/gcb.14619
10.1038/nature08649
10.1038/nature01286
10.1016/j.ympev.2018.09.006
10.1111/ecog.05012
10.1175/BAMS-D-11-00094.1
10.1146/annurev.ecolsys.37.091305.110100
10.1111/j.1600-0587.2011.06866.x
10.1002/joc.1276
10.1186/s12862-014-0216-x
10.3390/cli9050081
10.1111/j.1365-2699.2003.01043.x
10.1007/s10584-016-1806-y
10.1038/509297a
10.1080/13658816.2020.1798968
10.1016/j.biocon.2018.07.022
10.1080/03036758.2010.549493
10.1111/j.2041-210X.2011.00157.x
10.1038/nclimate2563
10.1016/j.tree.2006.09.010
10.1111/j.1472-4642.2008.00482.x
10.1038/srep26316
10.1016/j.tree.2018.10.012
10.1098/rsos.211596
10.1657/1938-4246-46.4.829
10.1007/s00035-011-0094-4
10.1038/nclimate3127
10.1073/pnas.0801507105
10.1111/j.1472-4642.2008.00491.x
10.1111/ddi.12892
10.1016/j.ode.2004.12.001
10.1016/j.biocon.2018.12.026
10.1007/s004420050540
10.2307/2997525
10.1016/S0304-3800(01)00388-X
10.1111/j.1654-1103.2009.01133.x
10.1111/gcb.14280
10.1098/rspb.2007.0997
10.1007/s10750-014-2134-8
10.1111/icad.12488
10.1038/s41598-018-30606-3
10.2737/PNW-GTR-351
10.1111/j.0906-7590.2006.04700.x
10.1006/jtbi.1999.0967
10.1017/CBO9780511754821
10.1016/j.gecco.2018.e00507
10.1111/icad.12289
10.1890/12-0833.1
10.1111/gcb.14087
10.5194/gmd-4-845-2011
10.1073/pnas.0906380106
10.1371/journal.pone.0080811
10.1007/s10841-017-9983-1
10.1146/annurev-ecolsys-110316-022612
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Keywords FRAGSTATS
ecological niche modelling
biomod2
alpine
fragmentation
climate change
ensemble modelling
Language English
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Electronic supplementary material is available online at https://doi.org/10.6084/m9.figshare.c.5859650.
Present address: The New Zealand Institute for Plant and Food Research Limited, Palmerston North, New Zealand.
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References e_1_3_6_30_2
e_1_3_6_51_2
e_1_3_6_76_2
e_1_3_6_32_2
e_1_3_6_53_2
e_1_3_6_74_2
e_1_3_6_72_2
e_1_3_6_70_2
e_1_3_6_91_2
Newsome P (e_1_3_6_50_2) 1987
e_1_3_6_13_2
e_1_3_6_38_2
Leathwick J (e_1_3_6_49_2) 2004
e_1_3_6_59_2
e_1_3_6_11_2
e_1_3_6_17_2
e_1_3_6_34_2
e_1_3_6_55_2
e_1_3_6_15_2
e_1_3_6_36_2
e_1_3_6_57_2
e_1_3_6_78_2
e_1_3_6_40_2
e_1_3_6_65_2
e_1_3_6_86_2
e_1_3_6_21_2
e_1_3_6_42_2
e_1_3_6_63_2
e_1_3_6_84_2
e_1_3_6_61_2
e_1_3_6_82_2
e_1_3_6_80_2
e_1_3_6_4_2
e_1_3_6_2_2
e_1_3_6_8_2
e_1_3_6_6_2
e_1_3_6_27_2
e_1_3_6_48_2
e_1_3_6_29_2
Gatti RC (e_1_3_6_10_2) 2019; 9
e_1_3_6_23_2
e_1_3_6_44_2
e_1_3_6_69_2
e_1_3_6_25_2
e_1_3_6_46_2
e_1_3_6_67_2
e_1_3_6_88_2
e_1_3_6_52_2
e_1_3_6_75_2
e_1_3_6_31_2
e_1_3_6_54_2
e_1_3_6_73_2
e_1_3_6_71_2
e_1_3_6_92_2
e_1_3_6_90_2
Pachauri RK (e_1_3_6_45_2) 2014
Lute A (e_1_3_6_18_2) 2020; 41
e_1_3_6_14_2
e_1_3_6_37_2
Turner C (e_1_3_6_7_2) 2018
e_1_3_6_12_2
e_1_3_6_39_2
e_1_3_6_33_2
e_1_3_6_56_2
e_1_3_6_79_2
e_1_3_6_16_2
e_1_3_6_35_2
e_1_3_6_58_2
e_1_3_6_77_2
e_1_3_6_41_2
e_1_3_6_64_2
e_1_3_6_87_2
e_1_3_6_20_2
e_1_3_6_43_2
e_1_3_6_62_2
e_1_3_6_85_2
e_1_3_6_60_2
e_1_3_6_83_2
e_1_3_6_81_2
e_1_3_6_5_2
e_1_3_6_3_2
e_1_3_6_9_2
e_1_3_6_26_2
e_1_3_6_28_2
e_1_3_6_22_2
e_1_3_6_68_2
Minder JR (e_1_3_6_19_2) 2010; 115
e_1_3_6_24_2
e_1_3_6_47_2
e_1_3_6_66_2
e_1_3_6_89_2
References_xml – ident: e_1_3_6_60_2
  doi: 10.1111/2041-210X.12403
– ident: e_1_3_6_79_2
  doi: 10.1111/ecog.01557
– ident: e_1_3_6_28_2
  doi: 10.1016/j.ppees.2007.09.004
– ident: e_1_3_6_73_2
  doi: 10.1111/gcb.13470
– ident: e_1_3_6_57_2
  doi: 10.1111/j.1365-2664.2006.01214.x
– ident: e_1_3_6_75_2
  doi: 10.1111/j.1365-2699.2006.01460.x
– volume: 41
  start-page: E110
  year: 2020
  ident: e_1_3_6_18_2
  article-title: Best practices for estimating near-surface air temperature lapse rates
  publication-title: Int. J. Climatol.
– ident: e_1_3_6_42_2
– ident: e_1_3_6_9_2
  doi: 10.1111/j.1365-2745.2009.01488.x
– volume-title: Climate change and biodiversity.
  year: 2018
  ident: e_1_3_6_7_2
– ident: e_1_3_6_81_2
  doi: 10.1016/j.gloplacha.2014.10.012
– ident: e_1_3_6_37_2
  doi: 10.1016/j.cryobiol.2015.07.008
– ident: e_1_3_6_22_2
  doi: 10.1006/qres.1999.2123
– ident: e_1_3_6_12_2
  doi: 10.1111/j.1365-2486.2007.01418.x
– ident: e_1_3_6_33_2
  doi: 10.1016/j.ympev.2020.106783
– ident: e_1_3_6_52_2
  doi: 10.1007/s10531-012-0398-8
– ident: e_1_3_6_83_2
  doi: 10.1111/eva.12484
– volume: 9
  start-page: 1
  year: 2019
  ident: e_1_3_6_10_2
  article-title: Accelerating upward treeline shift in the Altai Mountains under last-century climate change
  publication-title: Sci. Rep.
– ident: e_1_3_6_47_2
– ident: e_1_3_6_15_2
  doi: 10.1080/15230430.2020.1773033
– ident: e_1_3_6_2_2
  doi: 10.1111/j.1365-2486.2010.02380.x
– ident: e_1_3_6_5_2
  doi: 10.1126/science.287.5459.1770
– ident: e_1_3_6_48_2
  doi: 10.1111/ecog.01881
– ident: e_1_3_6_29_2
  doi: 10.1038/s41598-019-40766-5
– ident: e_1_3_6_65_2
  doi: 10.1016/j.tree.2018.07.005
– ident: e_1_3_6_86_2
  doi: 10.1038/s41467-019-13128-y
– ident: e_1_3_6_78_2
  doi: 10.1073/pnas.0409902102
– ident: e_1_3_6_26_2
  doi: 10.1111/ecog.04282
– ident: e_1_3_6_27_2
  doi: 10.1111/gcb.14619
– ident: e_1_3_6_55_2
– ident: e_1_3_6_4_2
  doi: 10.1038/nature08649
– ident: e_1_3_6_58_2
– ident: e_1_3_6_14_2
  doi: 10.1038/nature01286
– ident: e_1_3_6_87_2
  doi: 10.1016/j.ympev.2018.09.006
– volume-title: Contribution of Working Groups I, II and III to the fifth assessment report of the Intergovernmental Panel on Climate Change
  year: 2014
  ident: e_1_3_6_45_2
– ident: e_1_3_6_16_2
  doi: 10.1111/ecog.05012
– ident: e_1_3_6_44_2
  doi: 10.1175/BAMS-D-11-00094.1
– ident: e_1_3_6_6_2
  doi: 10.1146/annurev.ecolsys.37.091305.110100
– ident: e_1_3_6_25_2
  doi: 10.1111/j.1600-0587.2011.06866.x
– ident: e_1_3_6_43_2
  doi: 10.1002/joc.1276
– ident: e_1_3_6_77_2
  doi: 10.1186/s12862-014-0216-x
– ident: e_1_3_6_76_2
  doi: 10.3390/cli9050081
– ident: e_1_3_6_20_2
  doi: 10.1111/j.1365-2699.2003.01043.x
– ident: e_1_3_6_11_2
  doi: 10.1007/s10584-016-1806-y
– ident: e_1_3_6_64_2
  doi: 10.1038/509297a
– ident: e_1_3_6_30_2
  doi: 10.1080/13658816.2020.1798968
– ident: e_1_3_6_89_2
  doi: 10.1016/j.biocon.2018.07.022
– ident: e_1_3_6_91_2
  doi: 10.1080/03036758.2010.549493
– ident: e_1_3_6_53_2
  doi: 10.1111/j.2041-210X.2011.00157.x
– ident: e_1_3_6_8_2
  doi: 10.1038/nclimate2563
– ident: e_1_3_6_32_2
  doi: 10.1016/j.tree.2006.09.010
– ident: e_1_3_6_63_2
  doi: 10.1111/j.1472-4642.2008.00482.x
– ident: e_1_3_6_56_2
  doi: 10.1038/srep26316
– ident: e_1_3_6_72_2
  doi: 10.1016/j.tree.2018.10.012
– ident: e_1_3_6_92_2
  doi: 10.1098/rsos.211596
– ident: e_1_3_6_23_2
  doi: 10.1657/1938-4246-46.4.829
– ident: e_1_3_6_17_2
  doi: 10.1007/s00035-011-0094-4
– volume-title: New Zealand's potential vegetation pattern
  year: 2004
  ident: e_1_3_6_49_2
– ident: e_1_3_6_40_2
– ident: e_1_3_6_3_2
  doi: 10.1038/nclimate3127
– ident: e_1_3_6_34_2
  doi: 10.1073/pnas.0801507105
– volume-title: Vegetative cover of New Zealand
  year: 1987
  ident: e_1_3_6_50_2
– ident: e_1_3_6_74_2
  doi: 10.1111/j.1472-4642.2008.00491.x
– ident: e_1_3_6_31_2
  doi: 10.1111/ddi.12892
– ident: e_1_3_6_36_2
  doi: 10.1016/j.ode.2004.12.001
– ident: e_1_3_6_88_2
  doi: 10.1016/j.biocon.2018.12.026
– ident: e_1_3_6_21_2
  doi: 10.1007/s004420050540
– ident: e_1_3_6_24_2
  doi: 10.2307/2997525
– ident: e_1_3_6_62_2
  doi: 10.1016/S0304-3800(01)00388-X
– ident: e_1_3_6_70_2
  doi: 10.1111/j.1654-1103.2009.01133.x
– ident: e_1_3_6_82_2
  doi: 10.1111/gcb.14280
– ident: e_1_3_6_66_2
  doi: 10.1098/rspb.2007.0997
– ident: e_1_3_6_41_2
– ident: e_1_3_6_69_2
  doi: 10.1007/s10750-014-2134-8
– ident: e_1_3_6_39_2
  doi: 10.1111/icad.12488
– ident: e_1_3_6_35_2
  doi: 10.1038/s41598-018-30606-3
– ident: e_1_3_6_59_2
  doi: 10.2737/PNW-GTR-351
– ident: e_1_3_6_61_2
  doi: 10.1111/j.0906-7590.2006.04700.x
– ident: e_1_3_6_67_2
  doi: 10.1006/jtbi.1999.0967
– ident: e_1_3_6_85_2
  doi: 10.1017/CBO9780511754821
– volume: 115
  start-page: 1
  year: 2010
  ident: e_1_3_6_19_2
  article-title: Surface temperature lapse rates over complex terrain: lessons from the Cascade Mountains
  publication-title: J. Geophys. Res.
– ident: e_1_3_6_54_2
– ident: e_1_3_6_68_2
  doi: 10.1016/j.gecco.2018.e00507
– ident: e_1_3_6_38_2
  doi: 10.1111/icad.12289
– ident: e_1_3_6_13_2
  doi: 10.1890/12-0833.1
– ident: e_1_3_6_84_2
  doi: 10.1111/gcb.14087
– ident: e_1_3_6_46_2
  doi: 10.5194/gmd-4-845-2011
– ident: e_1_3_6_71_2
  doi: 10.1073/pnas.0906380106
– ident: e_1_3_6_51_2
  doi: 10.1371/journal.pone.0080811
– ident: e_1_3_6_80_2
  doi: 10.1007/s10841-017-9983-1
– ident: e_1_3_6_90_2
  doi: 10.1146/annurev-ecolsys-110316-022612
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Snippet Mountains create steep environmental gradients that are sensitive barometers of climate change. We calibrated 10 statistical models to formulate ensemble...
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StartPage 211596
SubjectTerms alpine
biomod2
climate change
ecological niche modelling
Ecology, Conservation and Global Change Biology
ensemble modelling
fragmentation
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Title Climate change and alpine-adapted insects: modelling environmental envelopes of a grasshopper radiation
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