Land degradation destroys human habitats, and vegetation is a marker reflecting land degradation. In this article, the Balochistan Province of Pakistan, which has a fragile ecological environment, was selected as a typical case to analyze its land degradation over 21 years. Relevant studies that used the NDVI and remote sensing data to monitor land degradation already existed. Based on the data product of MODIS, this study obtained the spatio-temporal trends of the normalized difference vegetation index (NDVI) changes from 2000 to 2020 using the sen+ Mann–Kendall (MK) test and Hurst index and analyzed the driving factors of land degradation and restoration by employing the multiple stepwise regression method. The residual analysis method was an effective tool for distinguishing between anthropogenic and climatic impacts, given that not all regions have a significant correlation between the NDVI and rainfall. The main climatic drivers of the NDVI were derived based on the Geodetector analysis and stripped of the main climatic factors by residual analysis to explore the influence of anthropogenic factors on the NDVI. The results show the following: (1) Balochistan is dominated by land restoration. Land restoration is mainly dominated by climate as well as both climate and human factors, and land degradation is mainly dominated by climate and human factors. (2) The Geodetector-based study found high correlations between the NDVI and TMP, MAP, AET and PET, complementing most previous residual analyses that considered only precipitation and temperature. In Balochistan, TMP, AET, PET and MAP were the dominant climatic factors affecting the spatial distribution of the NDVI; TMP with MAP and TMP with AET were the main interactive factors in the spatial distribution of the NDVI. (3) The article quantifies the impact of the anthropogenic drivers on land degradation. Human activities positively influenced the NDVI in 91.02% of the area and negatively influenced it in 8.98% of the area. (4) The overall trend of the NDVI was mainly stable, with stronger improvement than degradation, and showed strong persistence. The above findings enrich our understanding of the climatic impacts of land degradation and human impacts in arid or semi-arid regions and provide a scientific basis for ecological engineering to achieve ecological conservation and quality development in Balochistan, Pakistan.

Since the commencement of Sustainable Development Goals (SDGs), renewable energy has faced many challenges in reaching the target of SDGs, while the potential ecological impact on the environment cannot be ignored. The expansion of photovoltaic (PV) networks is raising concerns regarding the potential impact of large-scale PV power stations on local ecosystems. However, a comprehensive understanding of the specific responses of vegetation and soil factors to PV con-struction across different study locations is still lacking. To address this knowledge gap, we con-ducted a comprehensive meta-analysis of 28 studies internationally representing 31 observational points that evaluated 432 different vegetation and soil factor responses to the installation of PV power stations. We used piecewiseSEM to explore the responses of predictors/factors to the eco-logical environment. This study investigated the geographical and environmental conditions associated with PV construction and their responses to vegetation and soil factors, considering the advantages and disadvantages of PV power station construction in different ecosystems. The results indicate that (1) the response of the ecosystems to PV power station construction increased by 58.89%. Among these, the most significant improvement is in the desert, which accounts for 77.26%. Im-provement in temperate regions is 59.62%, while there is a decrease of 19.78% in boreal regions. Improvement in arid regions is 84.45%, while improvement in humid regions is 9.84%. (2) PV construction promotes SWC, vegetation diversity, vegetation coverage, and vegetation biomass, significantly enhancing vegetation productivity. (3) Among the different ecosystems, PV power station effects were most significant in deserts, while showing negative impacts on croplands. (4) Compared to below-panel treatments, between-panel treatments were more effective in improving ecological conditions. The study contributes to mitigating adverse effects associated with photovoltaic site development, offering insights into site selection planning for solar power stations and the advancement of the renewable energy sector.