Literature type: Scientific
Volume: 11 , Pages: 1946
Full reference: Fan, R., Lei, J., Wu, E., Lu, C., Jia, Y., Zeng, Q. & Lei, G. 2022. Species distribution modelling of the breeding site distribution gaps of Lesser White-fronted Goose in Siberia under climate change. Land 11: 1946 https://www.dx.doi.org/10.3390/land11111946
Climate change has become an important cause of the loss of bird habitat and changes in bird migration and reproduction. The lesser white-fronted goose (Anser erythropus) has a wide range of migratory habits and is listed as vulnerable on the IUCN (International Union for Conservation of Nature) Red List. In this study, the distribution of suitable breeding grounds for the lesser white-fronted goose was assessed in Siberia, Russia, using a combination of satellite tracking and climate change data. The characteristics of the distribution of suitable breeding sites under different climate scenarios in the future were predicted using the Maxent model, and protection gaps were assessed. The analysis showed that under the background of future climate change, temperature and precipitation will be the main climatic factors affecting the distribution of breeding grounds, and the area associated with suitable breeding habitats will present a decreasing trend. Areas listed as an optimal habitat only accounted for 3.22% of the protected distribution; however, 1,029,386.341 km2 of optimal habitat was observed outside the protected area. Obtaining species distribution data is important for developing habitat protection in remote areas. The results presented here can provide a basis for developing species-specific habitat management strategies and indicate that additional attention should be focused on protecting open spaces.
Literature type: Scientific
Journal: Scientific reports
Volume: 8 , Pages: 214.
Full reference: Jie, L., Xiang, G., Guangming, Z., Shanshan, H., Minzhou, Z., Xiaodong, L., & Xin, L. 2018. Coupling modern portfolio theory and marxan enhances the efficiency of Lesser White-fronted Goose’s (Anser erythropus) habitat conservation. Scientific reports 8: 214. https://www.dx.doi.org/10.1038/s41598-017-18594-2
Climate change and human activities cause uncertain changes to species biodiversity by altering their habitat. The uncertainty of climate change requires planners to balance the benefit and cost of making conservation plan. Here optimal protection approach for Lesser White-fronted Goose (LWfG) by coupling Modern Portfolio Theory (MPT) and Marxan selection were proposed. MPT was used to provide suggested weights of investment for protected area (PA) and reduce the influence of climatic uncertainty, while Marxan was utilized to choose a series of specific locations for PA. We argued that through combining these two commonly used techniques with the conservation plan, including assets allocation and PA chosing, the efficiency of rare bird’s protection would be enhanced. In MPT analyses, the uncertainty of conservation-outcome can be reduced while conservation effort was allocated in Hunan, Jiangxi and Yangtze River delta. In Marxan model, the optimal location for habitat restorations based on existing nature reserve was identified. Clear priorities for the location and allocation of assets could be provided based on this research, and it could help decision makers to build conservation strategy for LWfG.
Number of results: 2