利用机器学习算法和遥感数据了解牧场转变的时空动态

IF 2.4 3区 环境科学与生态学 Q2 ECOLOGY
Ningde Wang , Iram Naz , Rana Waqar Aslam , Abdul Quddoos , Walid Soufan , Danish Raza , Tibra Ishaq , Bilal Ahmed
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引用次数: 0

摘要

全球牧场都面临着过度放牧、土地转换和气候变化带来的日益严重的威胁。本研究以 10 年为间隔(1990 年、2000 年、2010 年和 2020 年),调查了巴基斯坦巴克卡尔区牧场退化的时空模式,该地区是一个依赖脆弱牧场生态系统的半干旱地区。遥感为监测这些广袤但研究不足的旱地环境提供了宝贵的工具。我们利用 Landsat 卫星数据和机器学习算法绘制土地覆被变化图并分析植被健康指标。随机森林分类器在划分六种土地覆被类别--水、建筑、森林、耕地、牧场和荒地--方面达到了很高的准确率(94%)。分类的牧场面积减少了 25% 以上,这主要是由于农业扩张造成的。植被指数的变化趋势不一,增强植被指数有所下降,但归一化差异植被指数略有改善。同时,地表温度上升表明干旱加剧。这些令人担忧的变化突出表明,迫切需要通过参与性活动制定符合社区需求的保护政策。牧场退化威胁着依赖这些生态系统的牧民社区的生计和福利。以适应性和复原力为中心的综合解决方案可促进巴克卡尔边缘旱地环境的可持续发展。这项研究展示了卫星监测和社会研究在实施整体战略以应对全球普遍存在的牧场破坏威胁方面的威力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Spatio-Temporal Dynamics of Rangeland Transformation using machine learning algorithms and Remote Sensing data

Rangelands globally face escalating threats from overgrazing, land conversion, and climate change. This study investigates spatio-temporal rangeland degradation patterns in Pakistan's Bhakkar District, a semiarid region dependent on fragile pastoral ecosystems, over the past four decades at 10-yr intervals (1990, 2000, 2010, 2020). Remote sensing offers a valuable tool for monitoring these vast yet understudied dryland environments. We employed Landsat satellite data and machine learning algorithms to map land cover change and analyze vegetation health indicators. The random forest classifier achieved high accuracy (94%) in delineating six land cover categories–water, built-up, forest, cropland, rangeland, and barren land. Classified rangeland area declined by over 25%, largely due to agricultural expansion. Vegetation indices showed mixed trends, with decreases in enhanced vegetation index but marginal improvement in normalized difference vegetation index. Meanwhile, rising land surface temperatures pointed to increased aridity. These concerning changes underscore the urgent need for conservation policies tailored to community needs through participatory engagement. Rangeland degradation threatens the livelihoods and welfare of pastoral communities reliant on these ecosystems. Integrated solutions centered on adaptation and resilience can promote sustainability in Bhakkar's marginal dryland environments. This study demonstrates the power of satellite monitoring coupled with social research for implementing holistic strategies to address the globally prevalent threat of rangeland disruption.

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来源期刊
Rangeland Ecology & Management
Rangeland Ecology & Management 农林科学-环境科学
CiteScore
4.60
自引率
13.00%
发文量
87
审稿时长
12-24 weeks
期刊介绍: Rangeland Ecology & Management publishes all topics-including ecology, management, socioeconomic and policy-pertaining to global rangelands. The journal''s mission is to inform academics, ecosystem managers and policy makers of science-based information to promote sound rangeland stewardship. Author submissions are published in five manuscript categories: original research papers, high-profile forum topics, concept syntheses, as well as research and technical notes. Rangelands represent approximately 50% of the Earth''s land area and provision multiple ecosystem services for large human populations. This expansive and diverse land area functions as coupled human-ecological systems. Knowledge of both social and biophysical system components and their interactions represent the foundation for informed rangeland stewardship. Rangeland Ecology & Management uniquely integrates information from multiple system components to address current and pending challenges confronting global rangelands.
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