A framework to support the identification of critical habitat for wide-ranging species at risk under climate change DOI Creative Commons
Lionel Leston, Francisco V. Dénes, Teegan D. S. Docherty

et al.

Research Square (Research Square), Journal Year: 2023, Volume and Issue: unknown

Published: March 21, 2023

Abstract To recover species at risk, it is necessary to identify habitat critical their recovery. Challenges for with large ranges (thousands of square kilometres) include delineating management unit boundaries within which use differs from other units, along assessing amounts and threats over time. We developed a reproducible framework support the identification wide-ranging risk. The (i) reviews distribution life history; (ii) delineates units across range; (iii) evaluates compares current (iv) potential future population size; (v) prioritizes areas based on conditions under various scenarios climate change land-use. used Canada Warbler ( Cardellina canadensis ) Wood Thrush Hylocichla mustelina in as case studies. Using geographically weighted regression models cluster analysis measure spatial variation model coefficients, we found geographic differences association only Warbler. predict amount each different then land change, projected that: 1) populations would decrease Alberta but increase Nova Scotia; 2) most run Quebec, New Brunswick, Scotia, except Ontario. By comparing results prioritization exercises, our can be way that incorporates land-use projections.

Language: Английский

Leaving disturbance legacies conserves boreal conifers and maximizes net CO2 absorption under climate change and more frequent and larger windthrow regimes DOI
Wataru Hotta, Chihiro Haga, Junko Morimoto

et al.

Landscape Ecology, Journal Year: 2023, Volume and Issue: 38(7), P. 1785 - 1805

Published: May 20, 2023

Language: Английский

Citations

1
A framework to support the identification of critical habitat for wide-ranging species at risk under climate change DOI Creative Commons
Lionel Leston, Francisco V. Dénes, Teegan D. S. Docherty

et al.

Research Square (Research Square), Journal Year: 2023, Volume and Issue: unknown

Published: March 21, 2023

Abstract To recover species at risk, it is necessary to identify habitat critical their recovery. Challenges for with large ranges (thousands of square kilometres) include delineating management unit boundaries within which use differs from other units, along assessing amounts and threats over time. We developed a reproducible framework support the identification wide-ranging risk. The (i) reviews distribution life history; (ii) delineates units across range; (iii) evaluates compares current (iv) potential future population size; (v) prioritizes areas based on conditions under various scenarios climate change land-use. used Canada Warbler ( Cardellina canadensis ) Wood Thrush Hylocichla mustelina in as case studies. Using geographically weighted regression models cluster analysis measure spatial variation model coefficients, we found geographic differences association only Warbler. predict amount each different then land change, projected that: 1) populations would decrease Alberta but increase Nova Scotia; 2) most run Quebec, New Brunswick, Scotia, except Ontario. By comparing results prioritization exercises, our can be way that incorporates land-use projections.

Language: Английский

Citations

0