Spatiotemporal land use and cover changes across agroecologies and slope gradients using geospatial technologies in Zoa watershed, Southwest Ethiopia.

Spatiotemporal land use and cover changes across agroecologies and slope gradients using geospatial technologies in Zoa watershed, Southwest Ethiopia.
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DOI:
10.1016/j.heliyon.2022.e10696
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发表时间:
2022-09
期刊:
影响因子:
4
通讯作者:
Jakubus, Monika
Jakubus, Monika
中科院分区:
综合性期刊4区
文献类型:
--
作者:
Gitima, Ginjo;Teshome, Menberu;Kassie, Meseret;Jakubus, Monika

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其他地方的环境现象总是在不同尺度上发生变化,这取决于自然现象和人类干扰。土地利用/过度变化(LULC)与场地特定因素有关,例如不适当的土地利用规划以及陡坡上传统农业实践的扩展导致了水土流失和随之而来的生态变化。因此,确定埃塞俄比亚可持续自然资源管理的土地利用/土地覆盖动态的趋势、模式和驱动因素至关重要。因此,我们评估了埃塞俄比亚西南部奥莫-吉贝盆地佐阿流域1985年至2021年不同农业生态和坡度下土地利用和覆盖变化的时空动态及其驱动因素。陆地卫星图像、焦点小组讨论者、关键信息提供者和现场观测被用作数据源,以分析时空土地利用和覆盖变化轨迹及其驱动因素。使用最大似然分类器技术的监督图像分类的总准确率范围为 87.55% 至 91.14%,用于对 5 个关键的 LULC 类别进行分类:裸地、农田、林地、草地和灌木丛。结果显示,1985年灌木丛所占比例最大(41.87%),但后来下降到2000年的23.98%,2021年下降到12.6%。草地也有所下降,从1985年的17.15%下降到2021年的2.09%。相比之下,耕地增长最快,从2000年的29.09%。 1985年增加到2021年的71.12%。所有农业生态中耕地的比例都呈现增加趋势,而林地仅在高原农业生态中增加。 1985年至2021年间,大面积灌丛和草地转变为农田,年转变率分别为1.05%和0.58%。据观察,农田向中度和陡峭的起伏斜坡扩展,这可能会加剧土壤退化。这是由于人口快速增长和对农业用地的持续需求。关键知情人访谈和焦点小组讨论的结果还表明,由于人口快速增长,农田和定居点的扩张是土地利用和土地利用动态的主要驱动力。因此,地方政府和各利益相关者应通过适当的土地利用规划重新设计有效的管理策略,以解决土地利用和土地利用动态的不利影响。土地利用土地覆盖;司机;农业生态学;坡度梯度;社会经济分析。
Environmental phenomena are always changing elsewhere in various scales depending on both natural phenomenon and human interference. Land use/over change (LULC) is related to site specific factors such as inappropriate land use planning and the expansion of traditional agricultural practices in steep gradients have led to soil erosion and consequent ecological changes. Thus, it is crucial to determine the trend, pattern, and drivers of land use/land cover dynamics for sustainable natural resource management in Ethiopia. Therefore, we evaluated the spatio-temporal LULC dynamics in different agroeclogies and slope gradients, and their drivers between 1985 and 2021 in the Zoa watershed of Omo-Gibe basin, Southwest Ethiopia. Landsat imageries, focus group discussants, key informants, and field observations were used as source of data to analyze the spatio-temporal LULC trajectories and their drivers. With total accuracies ranging from 87.55% to 91.14%, supervised image classification using the Maximum Likelihood classifier technique was used to categorize five key LULC classes: bareland, farmland, forestland, grassland, and shrubland. The results revealed that shrubland (41.87%) had the largest share in 1985, but later declined to 23.98% in 2000, and 12.6% in 2021. Grassland has declined as well, from 17.15% in 1985 to 2.09% in 2021. In contrast, farmland increased at the fastest rate, from 29.09% in 1985 to 71.12% in 2021. The proportion of farmland exhibited an increasing trend in all agro-ecologies, while forestland has increased only in highland agro-ecologies. Between 1985 and 2021, an extensive area of shrubland and grassland were converted into farmland with a conversation rate of 1.05% and 0.58% per annum, respectively. The expansion of farmland was observed towards moderately and steep rolling slopes which might exacerbate soil degradation. This is due to rapid population increase and ongoing demand for agricultural land. The result of key informant interviews and focus group discussions also revealed that expansion of farmland and settlement are the major drivers of LULC dynamics due to rapid human population growth. Therefore, the regional government and various stakeholders should work on redesigning effective management strategies through appropriate land use planning to address the adverse effects of LULC dynamics. Land use land cover; Drivers; Agro-ecologies; Slope gradients; Socioeconomic analysis.
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