Pant Ganesh, Maraseni Tek, Apan Armando, Allen Benjamin L
Ministry of Forests and Environment Singhadurbar Kathmandu Nepal.
Institute for Life Sciences and the Environment University of Southern Queensland Toowoomba Qld Australia.
Ecol Evol. 2021 Dec 7;11(24):18288-18304. doi: 10.1002/ece3.8421. eCollection 2021 Dec.
Rapidly changing climate is likely to modify the spatial distribution of both flora and fauna. Land use change continues to alter the availability and quality of habitat and further intensifies the effects of climate change on wildlife species. We used an ensemble modeling approach to predict changes in habitat suitability for an iconic wildlife species, greater one-horned rhinoceros due to the combined effects of climate and land use changes. We compiled an extensive database on current rhinoceros distribution and selected nine ecologically meaningful environmental variables for developing ensemble models of habitat suitability using ten different species distribution modeling algorithms in the BIOMOD2 R package; and we did this under current climatic conditions and then projected them onto two possible climate change scenarios (SSP1-2.6 and SSP5-8.5) and two different time frames (2050 and 2070). Out of ten algorithms, random forest performed the best, and five environmental variables-distance from grasslands, mean temperature of driest quarter, distance from wetlands, annual precipitation, and slope, contributed the most in the model. The ensemble model estimated the current suitable habitat of rhinoceros to be 2610 km, about 1.77% of the total area of Nepal. The future habitat suitability under the lowest and highest emission scenarios was estimated to be: (1) 2325 and 1904 km in 2050; and (2) 2287 and 1686 km in 2070, respectively. Our results suggest that over one-third of the current rhinoceros habitat would become unsuitable within a period of 50 years, with the predicted declines being influenced to a greater degree by climatic changes than land use changes. We have recommended several measures to moderate these impacts, including relocation of the proposed Nijgad International Airport given that a considerable portion of potential rhinoceros habitat will be lost if the airport is constructed on the currently proposed site.
快速变化的气候可能会改变动植物的空间分布。土地利用变化持续改变栖息地的可用性和质量,并进一步加剧气候变化对野生动物物种的影响。我们采用集合建模方法,来预测一种标志性野生动物——大独角犀的栖息地适宜性变化,这是由气候和土地利用变化的综合影响导致的。我们编制了一个关于当前犀牛分布的广泛数据库,并选择了九个具有生态意义的环境变量,使用BIOMOD2 R包中的十种不同物种分布建模算法,来开发栖息地适宜性的集合模型;我们在当前气候条件下进行了这项工作,然后将其投射到两种可能的气候变化情景(SSP1-2.6和SSP5-8.5)以及两个不同的时间框架(2050年和2070年)上。在十种算法中,随机森林表现最佳,五个环境变量——与草地的距离、最干燥季度的平均温度、与湿地的距离、年降水量和坡度,在模型中贡献最大。集合模型估计,犀牛目前适宜的栖息地为2610平方公里,约占尼泊尔总面积的1.77%。在最低和最高排放情景下,未来栖息地适宜性估计为:(1)2050年分别为2325平方公里和1904平方公里;(2)2070年分别为2287平方公里和1686平方公里。我们的结果表明,在50年内,超过三分之一的当前犀牛栖息地将变得不适宜,预测的减少在更大程度上受到气候变化的影响,而非土地利用变化。我们建议了几种减轻这些影响的措施,包括重新选址拟建的尼贾德国际机场,因为如果在目前提议的地点建设机场,相当一部分潜在的犀牛栖息地将会丧失。