基于地理信息系统和遥感技术的埃塞俄比亚巴勒山国家公园山地尼亚拉(Tragelaphus buxtoni)野生动物栖息地适宜性分析

IF 2.9 Q2 GEOGRAPHY, PHYSICAL Quaternary Science Advances Pub Date : 2024-10-22 DOI:10.1016/j.qsa.2024.100251
Mamush Masha , Gemechu Tadila , Elias Bojago
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引用次数: 0

摘要

埃塞俄比亚的巴莱山国家公园保护着非洲大陆现存最大的高山环境。该公园于 1973 年首次提出,旨在保护其丰富的生物多样性,包括濒临灭绝的高山尼亚拉(Tragelaphus buxtoni)和赤狐。尽管采取了这些保护措施,但基础设施的缺乏和规划面积的巨大,导致野生动物栖息地严重破碎化。本研究的目的是利用地理信息系统和遥感方法分析巴莱山国家公园中山羚羊的栖息地适宜性,以便为保护工作提供信息,并协助公园管理者做出政策决定。为确定山地尼亚拉的潜在栖息地,研究采用了地理信息系统空间分析技术,如数字高程模型(DEM)和大地遥感卫星 9(OLI/TIRS)数据,以及关键环境因素,如植被类型、土壤类型、地形因素(海拔和坡度)、气候因素(温度)和邻近因素(与定居点、道路和河流的距离)。这些因素的权重是利用 IDRISI32 多标准评价(MCE)的成对比较法计算得出的。然后,通过加权叠加分析将这些加权因子图整合起来,建立野生生物栖息地适宜性模型。分析结果显示,栖息地适宜性分为五个等级;在所研究的全部土地面积中,有 1326.7 平方公里(60%)被认为适合山地尼亚拉栖息,881.3 平方公里(40%)不适合。具体来说,327.4 平方公里(15%)被归类为高度适宜,240.7 平方公里(11%)被归类为中度适宜,758.6 平方公里(34%)被归类为略微适宜,352.4 平方公里(16%)被归类为目前不适宜,528.9 平方公里(24%)被归类为永久不适宜。大部分适宜栖息地集中在公园北部、西部边界沿线和哈雷纳森林地区。这项研究提供了关于栖息地适宜性的重要见解,对保护山地尼亚拉和公园的整体管理至关重要。
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GIS and remote sensing-based wildlife habitat suitability analysis for Mountain Nyala (Tragelaphus buxtoni) at Bale Mountains National Park, Ethiopia
Ethiopia's Bale Mountains National Park protects the continent's largest remaining alpine environments. This park was first suggested in 1973 to safeguard its great biodiversity, including the endangered Mountain Nyala (Tragelaphus buxtoni) and Red Foxes. Despite these conservation measures, the lack of infrastructure and the enormous area projected have resulted in significant wildlife habitat fragmentation. The purpose of this study is to analyse the habitat suitability of the Mountain Nyala in Bale Mountains National Park using GIS and remote sensing approach in order to inform conservation efforts and assist park management seekers in making policy decisions. To identify potential habitats for the Mountain Nyala, the study employed GIS spatial analyst techniques such as the Digital Elevation Model (DEM) and Landsat 9 (OLI/TIRS) data, as well as key environmental factors such as vegetation types, soil types, topographic factors (elevation and slope), climate factors (temperature), and proximity factors (distance to settlements, roads, and rivers). The Weights of these factors was calculated using IDRISI32 Multi-Criteria Evaluation (MCE) with the pair-wise comparison method. These weighted factor maps were then integrated through weighted overlay analysis to model wildlife habitat suitability. The analysis revealed five classes of habitat suitability; of the total land area studied, 1326.7 km2 (60%) was deemed suitable for the Mountain Nyala while 881.3 km2 (40%) was unsuitable. Specifically, 327.4 km2 (15%) was classified as highly suitable, 240.7 km2 (11%) as moderately suitable, 758.6 km2 (34%) as marginally suitable, 352.4 km2 (16%) as currently not suitable, and 528.9 km2 (24%) as permanently not suitable. The majority of suitable habitats are concentrated in the northern part of the park, along the western border, and in the Harrena forest area. This study provides vital insights into habitat suitability that are crucial for the conservation of the Mountain Nyala and the overall management of the park.
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来源期刊
Quaternary Science Advances
Quaternary Science Advances Earth and Planetary Sciences-Earth-Surface Processes
CiteScore
4.00
自引率
13.30%
发文量
16
审稿时长
61 days
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