Characterizing and modeling spatiotemporal trends in rangelands: Prosopis juliflora impact in middle Awash Basin, Ethiopia.

IF 8 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Journal of Environmental Management Pub Date : 2024-11-14 DOI:10.1016/j.jenvman.2024.123336
Kalid Hassen Yasin
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Abstract

The Middle Awash Basin (MAB) faces severe ecological degradation due to the rapid spread of the invasive Prosopis juliflora (P. juliflora), which threatens native vegetation. The study characterizes and predicts the spatiotemporal dynamics of rangelands affected by P. juliflora in the MAB. Using three Landsat images from ETM+ (2003) and OLI (2013 and 2023), we applied a supervised random forest (RF) classification technique processed on the Google Earth Engine (GEE) platform. This classification was integrated into an intensity analysis to examine temporal transitions between land use and land cover (LULC) classes. The predictive modeling included 12 variables, including climatic, topographic, edaphic, phenological, hydrological, and anthropogenic factors, using Terrset 2020. Using multitemporal satellite remote sensing, machine learning (ML), and cellular automata markov chain (CA-MC) methods, LULC was mapped from 2003 to 2023, and future scenarios were predicted up to 2060. The P. juliflora coverage quadrupled from 2.16% in 2003 to 8.61% in 2023, while rangelands were decreased by more than 25%. Models predict that P. juliflora could occupy 22% of the land by 2060 and over 40% of rangeland areas as of 2003, expanding two to three times faster than the intensities of the LULC baseline changes, primarily targeting rangelands. Our analysis is based on a single business-as-usual scenario; however, it highlights the worrying invasion patterns. The study's limitations include the absence of multiple scenarios and climate model integration, which could offer further insights into future invasion dynamics. Nonetheless, our findings indicate that the MAB faces imminent widespread ecosystem transformation without prompt action, which will severely affect pastoral livelihoods and biodiversity conservation. Therefore, we advocate for a management strategy involving prevention, eradication, and restoration measures, underpinned by policy reforms and stakeholder cooperation.

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牧场时空趋势的特征和建模:埃塞俄比亚阿瓦什盆地中部的鹅掌楸影响。
中阿瓦士盆地(MAB)面临着严重的生态退化问题,原因是外来入侵植物糙伏楠(P. juliflora)的迅速蔓延威胁着本地植被。该研究描述并预测了人与生物圈地区受箭毒草影响的牧场的时空动态。我们利用 ETM+(2003 年)和 OLI(2013 年和 2023 年)的三幅 Landsat 图像,在谷歌地球引擎(GEE)平台上应用了有监督的随机森林(RF)分类技术。该分类被整合到强度分析中,以检查土地利用和土地覆被 (LULC) 等级之间的时间转换。使用 Terrset 2020 进行的预测建模包括 12 个变量,其中包括气候、地形、土壤、物候、水文和人为因素。利用多时卫星遥感、机器学习(ML)和单元自动机马尔可夫链(CA-MC)方法,绘制了 2003 年至 2023 年的 LULC 图,并预测了直至 2060 年的未来情景。果岭草覆盖率从 2003 年的 2.16% 增加到 2023 年的 8.61%,翻了两番,而牧场减少了 25% 以上。根据模型预测,到 2060 年,鹅掌楸可能会占据 22% 的土地,占据 2003 年 40% 以上的牧场面积,其扩张速度是 LULC 基线变化强度的两到三倍,主要针对牧场。我们的分析基于单一的 "一切照旧 "情景,但却突出了令人担忧的入侵模式。这项研究的局限性包括缺乏多种情景和气候模型的整合,而这可以为未来的入侵动态提供进一步的见解。尽管如此,我们的研究结果表明,如果不及时采取行动,人与生物圈即将面临大范围的生态系统转变,这将严重影响牧民的生计和生物多样性保护。因此,我们主张在政策改革和利益相关者合作的基础上,采取包括预防、根除和恢复措施在内的管理策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Environmental Management
Journal of Environmental Management 环境科学-环境科学
CiteScore
13.70
自引率
5.70%
发文量
2477
审稿时长
84 days
期刊介绍: The Journal of Environmental Management is a journal for the publication of peer reviewed, original research for all aspects of management and the managed use of the environment, both natural and man-made.Critical review articles are also welcome; submission of these is strongly encouraged.
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