Plantation forests driven spatiotemporal vegetation trends and its interplay with climate variables in the Northwestern Highlands of Ethiopia

Bireda Alemayehu , Juan Suarez-Minguez , Jacqueline Rosette
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Abstract

Plantation forests have been increasingly established in Fagita Lekoma District, located in the Northwestern Highlands of Ethiopia, over the past two decades. However, their interaction with climate variables remains largely unexplored. This study aims to investigate the spatiotemporal dynamics of plantation forests driven vegetation changes and their relationship with climate variables in the district from 2000 to 2020. Moderate Resolution Imaging Spectroradiometer (MODIS) data and Enhanced National Climate Services (ENACTS) data of the study area were processed for 21 years to examine trends using the Mann-Kendall test and Sen’s slope estimator, employing R 4.3 programming software. Concurrently, various climatic data, including evapotranspiration (ET), land surface temperature (LST), and rainfall, were processed, and analysed to explore the relationships between vegetation change and climate variability in the district during the study period. Increasing trends of Normalized Difference Vegetation Index (NDVI) greenness in the district were highlighted, with mean annual NDVI rising from 0.53 to 0.64, showing an average trend of 0.0036 year−1. This increase is primarily attributed to the widespread establishment of plantation forests across the district. The largest increase was revealed in ET, with a rate of 12.27 kg/m2 year−1. Conversely, LST and rainfall exhibited insignificant decreasing trends, with a rate of − 0.15 °C year−1 and − 10.54 mm year−1, respectively. Furthermore, a statistically significant positive correlation between NDVI and ET was observed, underscoring the critical role of vegetation in maintaining water availability. The negative correlation between NDVI and LST suggests that increased vegetation cover contributes to land surface temperature cooling. Additionally, the statistically insignificant negative correlation between NDVI and rainfall emphasizes the influence of land use change and human intervention on vegetation productivity. Overall, this study highlights the significance of long-term satellite observations in assessing the intricate interplays between vegetation dynamics driven by plantation forestry and climate variables at a local scale. The findings emphasize the role of plantation forests in enhancing vegetation greenness, improving water regulation, and mitigating land surface temperature warming, providing critical insights for sustainable land management and policy interventions in similar regions.
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埃塞俄比亚西北高地人工林驱动植被时空趋势及其与气候变量的相互作用
过去二十年来,位于埃塞俄比亚西北高地的Fagita Lekoma区越来越多地建立了人工林。然而,它们与气候变量的相互作用在很大程度上仍未被探索。研究2000 - 2020年该区人工林驱动植被变化的时空动态及其与气候变量的关系。采用r4.3编程软件,利用Mann-Kendall检验和Sen’s slope estimator对研究区21年的MODIS(中分辨率成像光谱仪)数据和ENACTS(增强国家气候服务)数据进行处理,分析趋势。同时,利用蒸散发(ET)、地表温度(LST)、降雨等多种气候数据进行处理和分析,探讨研究期间该区植被变化与气候变率的关系。归一化植被指数(NDVI)绿度呈显著上升趋势,年平均NDVI由0.53上升至0.64,平均趋势为0.0036 year−1。这一增长主要是由于在整个地区广泛建立人工林。ET的增幅最大,为12.27 kg/m2。相反,地表温度和降雨量呈现不显著的下降趋势,年下降幅度分别为- 0.15°C和- 10.54 mm。此外,NDVI与ET之间存在显著的正相关,这表明植被在维持水分有效性方面具有重要作用。NDVI与地表温度呈负相关,表明植被覆盖增加有助于地表温度降温。NDVI与降雨呈显著负相关,强调了土地利用变化和人为干预对植被生产力的影响。总体而言,本研究强调了长期卫星观测在评估由人工林驱动的植被动态与局部尺度气候变量之间复杂的相互作用方面的重要性。研究结果强调了人工林在提高植被绿化率、改善水资源调节和减缓地表温度变暖方面的作用,为类似地区的可持续土地管理和政策干预提供了重要见解。
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来源期刊
International journal of applied earth observation and geoinformation : ITC journal
International journal of applied earth observation and geoinformation : ITC journal Global and Planetary Change, Management, Monitoring, Policy and Law, Earth-Surface Processes, Computers in Earth Sciences
CiteScore
12.00
自引率
0.00%
发文量
0
审稿时长
77 days
期刊介绍: The International Journal of Applied Earth Observation and Geoinformation publishes original papers that utilize earth observation data for natural resource and environmental inventory and management. These data primarily originate from remote sensing platforms, including satellites and aircraft, supplemented by surface and subsurface measurements. Addressing natural resources such as forests, agricultural land, soils, and water, as well as environmental concerns like biodiversity, land degradation, and hazards, the journal explores conceptual and data-driven approaches. It covers geoinformation themes like capturing, databasing, visualization, interpretation, data quality, and spatial uncertainty.
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