Predicting Climate-Driven Habitat Shifting of the near Threatened Satyr Tragopan (Tragopan Satyra; Galliformes) in the Himalayas

IF 0.5 4区 农林科学 Q4 AGRICULTURE, DAIRY & ANIMAL SCIENCE Avian Biology Research Pub Date : 2018-10-01 DOI:10.3184/175815618X15316676114070
B. Chhetri, H. K. Badola, S. Barat
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引用次数: 15

Abstract

Current rates of climatic change will affect the structure and function of community assemblages on Earth. In recent decades, advances in modelling techniques have illuminated the potential effects of various climatic scenarios on biodiversity hotspots, including community assemblages in the Himalayas. These techniques have been used to test the effects of representative concentration pathways (RCPs) AR5-2050, based on future greenhouse gas emission trajectories of climate change scenario/year combinations, on pheasants. Current bioclimatic variables, Miroc-esm, Hadgem2-AO and Gfdl-cm3, in future climate change scenario models, were used to predict the future distribution and the gain/loss of future habitat area, within the Himalayas, of the pheasant, Satyr Tragopon (Tragopan satyra). The results indicate that future climatic conditions may significantly affect the future distribution of Satyr Tragopon and the effectiveness of protective areas (PAs). Using the python based GIS toolkit, SDM projection, regions of high risk under climate change scenarios were identified. To predict the present distribution of the species, environment parameters of bioclimatic variables, red reflectance, blue reflectance, solar azimuth angle, altitude, slope, aspect, NDVI, EVI, VI, and LCLU were used. The forest cover (NDVI) and the canopy cover (EVI), and variables affecting forest structure, namely altitude, slope, solar azimuth angle and Bio7, were the primary factors dictating the present distribution of T. satyra. The predicted trend of habitat shifting of T. satyra in the Himalayas to higher altitudes and latitudes will gradually become more prominent with climate warming.
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喜马拉雅山气候驱动的近危山鸡栖息地迁移预测
目前的气候变化速度将影响地球上群落的结构和功能。近几十年来,模拟技术的进步揭示了各种气候情景对生物多样性热点的潜在影响,包括喜马拉雅地区的群落组合。这些技术已被用于测试基于气候变化情景/年组合的未来温室气体排放轨迹AR5-2050的代表性浓度路径(rcp)对野鸡的影响。在未来气候变化情景模型中,利用当前生物气候变量microc -esm、Hadgem2-AO和Gfdl-cm3,预测了喜马拉雅山鸡的未来分布和未来栖息地面积的损益。结果表明,未来的气候条件可能会对沙提秃鹰的未来分布和保护区的有效性产生重大影响。利用基于python的GIS工具包,SDM投影,确定了气候变化情景下的高风险区域。利用生物气候变量、红色反射率、蓝色反射率、太阳方位角、海拔、坡度、坡向、NDVI、EVI、VI和LCLU等环境参数预测物种的分布现状。森林覆盖度(NDVI)和冠层覆盖度(EVI)以及影响森林结构的海拔、坡度、太阳方位角和生物量(Bio7)是影响柽桐分布的主要因素。预测结果表明,随着气候变暖,喜玛拉雅山柽柳生境向高海拔、高纬度转移的趋势将逐渐增强。
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来源期刊
Avian Biology Research
Avian Biology Research 农林科学-奶制品与动物科学
CiteScore
1.50
自引率
0.00%
发文量
17
审稿时长
2 months
期刊介绍: Avian Biology Research provides a forum for the publication of research in every field of ornithology. It covers all aspects of pure and applied ornithology for wild or captive species as well as research that does not readily fit within the publication objectives of other ornithological journals. By considering a wide range of research fields for publication, Avian Biology Research provides a forum for people working in every field of ornithology.
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