Predicted Shifts in Small Mammal Distributions and Biodiversity in the Altered Future Environment of Alaska: An Open Access Data and Machine Learning Perspective

被引:40
作者
Baltensperger, A. P. [1 ]
Huettmann, F. [1 ]
机构
[1] Univ Alaska Fairbanks, Inst Arctic Biol, Dept Biol & Wildlife, EWHALE Lab, Fairbanks, AK 99775 USA
关键词
NO-ANALOG COMMUNITIES; CLIMATE-CHANGE; SPECIES DISTRIBUTION; ELEVATIONAL GRADIENTS; DIVERSITY; DYNAMICS; CONSERVATISM; IMPACTS; PATTERNS; VELOCITY;
D O I
10.1371/journal.pone.0132054
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Climate change is acting to reallocate biomes, shift the distribution of species, and alter community assemblages in Alaska. Predictions regarding how these changes will affect the biodiversity and interspecific relationships of small mammals are necessary to pro-actively inform conservation planning. We used a set of online occurrence records and machine learning methods to create bioclimatic envelope models for 17 species of small mammals (rodents and shrews) across Alaska. Models formed the basis for sets of species-specific distribution maps for 2010 and were projected forward using the IPCC (Intergovernmental Panel on Climate Change) A2 scenario to predict distributions of the same species for 2100. We found that distributions of cold-climate, northern, and interior small mammal species experienced large decreases in area while shifting northward, upward in elevation, and inland across the state. In contrast, many southern and continental species expanded throughout Alaska, and also moved down-slope and toward the coast. Statewide community assemblages remained constant for 15 of the 17 species, but distributional shifts resulted in novel species assemblages in several regions. Overall biodiversity patterns were similar for both time frames, but followed general species distribution movement trends. Biodiversity losses occurred in the Yukon-Kuskokwim Delta and Seward Peninsula while the Beaufort Coastal Plain and western Brooks Range experienced modest gains in species richness as distributions shifted to form novel assemblages. Quantitative species distribution and biodiversity change projections should help land managers to develop adaptive strategies for conserving dispersal corridors, small mammal biodiversity, and ecosystem functionality into the future.
引用
收藏
页数:21
相关论文
共 86 条
[1]  
Alo CA, 2008, Journal of Geophysical Research- Biogeosciences, V113
[2]   Spatial Dynamics of Foodwebs [J].
Amarasekare, Priyanga .
ANNUAL REVIEW OF ECOLOGY EVOLUTION AND SYSTEMATICS, 2008, 39 :479-500
[3]  
[Anonymous], 2013, PROC IEEE INT C MICR
[4]  
[Anonymous], ARCTIC CLIMATE IMPAC
[5]  
[Anonymous], CANADIAN J IN PRESS
[6]  
[Anonymous], DETECTING EFFECTS EN
[7]  
[Anonymous], BIBLIO SEED EATING M
[8]   Predictive spatial niche and biodiversity hotspot models for small mammal communities in Alaska: applying machine-learning to conservation planning [J].
Baltensperger, Andrew P. ;
Huettmann, Falk .
LANDSCAPE ECOLOGY, 2015, 30 (04) :681-697
[9]   Impacts of climate change on the future of biodiversity [J].
Bellard, Celine ;
Bertelsmeier, Cleo ;
Leadley, Paul ;
Thuiller, Wilfried ;
Courchamp, Franck .
ECOLOGY LETTERS, 2012, 15 (04) :365-377
[10]   Gyrfalcon nest distribution in Alaska based on a predictive GIS model [J].
Booms, Travis L. ;
Huettmann, Falk ;
Schempf, Philip F. .
POLAR BIOLOGY, 2010, 33 (03) :347-358