Literature DB >> 22471080

Whitebark pine (Pinus albicaulis) assisted migration potential: testing establishment north of the species range.

Sierra C McLane1, Sally N Aitken.   

Abstract

The translocation of species into habitable locations outside of their current ranges, termed assisted migration, has been proposed as a means of saving vulnerable species from extinction as a result of climate change. We explore the use of this controversial technique using a threatened keystone species in western North America, whitebark pine (Pinus albicaulis), as a case study. Species distribution models predict that whitebark pine will be extirpated from most of its current range as temperatures rise over the next 70 years. However, the same models indicate that a large area within northwestern British Columbia, Canada, is climatically suitable for the species under current conditions and will remain so throughout the 21st century. To test the capacity of whitebark pine to establish relative to climatic and habitat features within its predicted climatic range, we planted seeds from seven populations in eight locations spanning from 600 km southeast to 800 km northwest of the northern boundary of the current species range. During the first three growing seasons, germination occurred in all locations. Nearly three times as many treated (induced maturation and broken dormancy) than untreated seeds germinated, and most treated seeds germinated a year earlier than the untreated seeds. Germination, survival, and growth were primarily influenced by seed mass, site climate conditions related to the duration of snow cover, and provenance temperature. Our experiment provides a preliminary test of models predicting the existence of climatically suitable whitebark pine habitat north of the current species ranges. More broadly, our techniques and results inform the development of scientific guidelines for assisting the migration of other species that are highly threatened by climate change. Applied case studies of this kind are critical for assessing the utility of species distribution models as conservation planning tools.

Entities:  

Mesh:

Year:  2012        PMID: 22471080     DOI: 10.1890/11-0329.1

Source DB:  PubMed          Journal:  Ecol Appl        ISSN: 1051-0761            Impact factor:   4.657


  9 in total

1.  Annual grass invasion in sagebrush steppe: the relative importance of climate, soil properties and biotic interactions.

Authors:  Sheel Bansal; Roger L Sheley
Journal:  Oecologia       Date:  2016-02-26       Impact factor: 3.225

2.  Chasing genetic correlation breakers to stimulate population resilience to climate change.

Authors:  Jaroslav Klápště; Emily J Telfer; Heidi S Dungey; Natalie J Graham
Journal:  Sci Rep       Date:  2022-05-17       Impact factor: 4.996

3.  Patterns and variability of projected bioclimatic habitat for Pinus albicaulis in the Greater Yellowstone Area.

Authors:  Tony Chang; Andrew J Hansen; Nathan Piekielek
Journal:  PLoS One       Date:  2014-11-05       Impact factor: 3.240

4.  Potential effects of climate change on members of the Palaeotropical pitcher plant family Nepenthaceae.

Authors:  Laura K Gray; Charles Clarke; G R William Wint; Jonathan A Moran
Journal:  PLoS One       Date:  2017-08-17       Impact factor: 3.240

5.  The distribution shifts of Pinus armandii and its response to temperature and precipitation in China.

Authors:  Xiaofeng Zheng; Pengxiang Gao; ShuoXin Zhang
Journal:  PeerJ       Date:  2017-09-15       Impact factor: 2.984

6.  Assisted migration and the rare endemic plant species: the case of two endangered Mexican spruces.

Authors:  Eduardo Mendoza-Maya; Erika Gómez-Pineda; Cuauhtémoc Sáenz-Romero; José Ciro Hernández-Díaz; Carlos A López-Sánchez; J Jesús Vargas-Hernández; José Ángel Prieto-Ruíz; Christian Wehenkel
Journal:  PeerJ       Date:  2022-08-03       Impact factor: 3.061

7.  Macroscale intraspecific variation and environmental heterogeneity: analysis of cold and warm zone abundance, mortality, and regeneration distributions of four eastern US tree species.

Authors:  Anantha M Prasad
Journal:  Ecol Evol       Date:  2015-10-16       Impact factor: 2.912

8.  Predicting species distributions for conservation decisions.

Authors:  Antoine Guisan; Reid Tingley; John B Baumgartner; Ilona Naujokaitis-Lewis; Patricia R Sutcliffe; Ayesha I T Tulloch; Tracey J Regan; Lluis Brotons; Eve McDonald-Madden; Chrystal Mantyka-Pringle; Tara G Martin; Jonathan R Rhodes; Ramona Maggini; Samantha A Setterfield; Jane Elith; Mark W Schwartz; Brendan A Wintle; Olivier Broennimann; Mike Austin; Simon Ferrier; Michael R Kearney; Hugh P Possingham; Yvonne M Buckley
Journal:  Ecol Lett       Date:  2013-10-17       Impact factor: 9.492

9.  Forest genomics: Advancing climate adaptation, forest health, productivity, and conservation.

Authors:  Nathalie Isabel; Jason A Holliday; Sally N Aitken
Journal:  Evol Appl       Date:  2019-12-23       Impact factor: 5.183

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.