EventsThe 1st International Online Conference on Earth Science
Published
This submission belongs to the session S3. Climate Dynamics, Variability and Change of the event The 1st International Online Conference on Earth Science
Published date
31 Aug, 2026
Academic Editor
author-avatarCharles Jones
Citation
Saffi Ur Rehman, Muhammad Safdar, Tingting Chang, Xu Yang, Anqi Zhang, Spatiotemporal Dynamics and Drivers of Vegetation Greening in Punjab, Pakistan (2020–2025): Disentangling Climatic and Anthropogenic Influences, in Proceedings of The 1st International Online Conference on Earth Science, 2 September–4 September 2026, MDPI: Basel, Switzerland
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Spatiotemporal Dynamics and Drivers of Vegetation Greening in Punjab, Pakistan (2020–2025): Disentangling Climatic and Anthropogenic Influences

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Anqi Zhang 1
1. College of Agricultural Science and Engineering, Hohai University, Nanjing 210098, China
2. Department of Irrigation and Drainage, Faculty of Agricultural Engineering and Technology, University of Agriculture, Faisalabad, 38000, Punjab, Pakistan
3. National Centre of GIS and Space Applications (NCGSA)-Agricultural Remote Sensing Lab (ARSL), University of Agriculture, Faisalabad 38000, Punjab, Pakistan
4. Co-Innovation Center for Sustainable Forestry in Southern China, College of Forest and Grassland, College of Soil and Water Conservation, Nanjing Forestry University, Nanjing 210037, China
5. China Meteorological Administration Hydro-Meteorology Key Laboratory, Hohai University, Nanjing, Jiangsu, 210024, China
Abstract

Understanding the drivers of vegetation dynamics in arid and semi-arid regions is critical for achieving sustainable land management and ecological resilience. In Pakistan’s Punjab province, which includes the Cholistan Desert, ecosystems face severe risks from the unplanned exploitation of land and water resources. These pressures are further intensified by climate variability, leading to increased vulnerability of vegetation cover and agricultural systems. This study aims to evaluate the relative contributions of climate change and human activities to vegetation changes in Punjab over five years from 2020 to 2025. Utilizing MODIS NDVI satellite data at a 250-meter resolution, the research quantifies spatiotemporal trends in vegetation activity across different ecological zones of the province. The Mann–Kendall trend test and Sen’s slope estimator were applied to determine the significance and magnitude of these trends. To distinguish between driving forces, the study employs Pearson’s correlation between NDVI and key climatic factors, including precipitation and temperature, followed by a threshold segmentation method. This approach enables the identification of areas where vegetation changes are primarily climate-driven and those influenced by human interventions such as irrigation expansion, land use change, and ecological restoration programs. The findings are expected to provide a clearer understanding of vegetation response patterns under combined natural and anthropogenic influences. These results offer valuable guidance for provincial policymakers to design targeted management strategies that address land degradation, improve resource use efficiency, and support long-term ecological sustainability in this environmentally sensitive region.

Keywords
NDVI
MODIS
Punjab
Dryland restoration
Climate variability
Cholistan Desert
Surface Energy Partitioning and Land–Atmosphere Interactions in Diverse Indian Agro-Climatic Regions
Evaluating the Performance of Multiple Satellite-Based Rainfall Products in a Data-Scarce Region