The Science of The Total Environment · 2019 · 70 citations · 44 references
Life SciencesBiodiversity ConservationEcologyClimate ScienceClimatologyMammalogyAnimal EcologyEcological ModelingHabitat Suitability AssessmentSpecies Range DynamicsWildlife ConservationWildlife-habitat RelationshipsClimate Change Impacts On PopulationsClimate Effects On MigrationExtinctionHabitat Suitability Under Climate ChangeMaximum Entropy ModelingRepresentative Concentration PathwaysSiberian Climate ChangeSpace Utilization Assessment
The population of wild musk deer (Moschus spp.) has declined in recent decades and reached an endangered status in China. Global climate change may drive the extinction rate of these species. To understand the implications of global warming on the future potential space utilization and migration direction of musk deer, both the maximum entropy model and barycenter migration analysis were utilized. Five global climate models and four representative concentration pathway scenarios were considered to simulate the distribution of six species for the years 2050 and 2070. The results indicated that the suitable habitat area would decrease over the next 30 to 50 years. These decreases of suitable habitat were more significant for the Siberian musk deer (reduced by 4.98% of the land area of China), the forest musk deer (1.04%), the black musk deer (0.86%), and the Himalayan musk deer (1.82%) compared with the other two musk deer species. The area with suitable climate for the Siberian musk deer will migrate to the southwest (to higher elevations) while areas suitable for the Alpine musk deer, the Himalayan musk deer, and the Anhui musk deer would all migrate to the northeast (to higher latitudes). However, the forest musk deer and the black musk deer will not migrate in the same direction, but will mainly migrate to the west and the north, respectively. These results provide data in support for in-situ conservation, ex-situ conservation, natural reserve community, and bio-corridor construction of China's musk deer species in response to global warming.
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Novel methods improve prediction of species’ distributions from occurrence data
Jane Elith, Catherine H. Graham, Robert P. Anderson et al. · Ecography · 2006 · 9.1K citations · Full text