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<p>Unsustainable land use practices degrade ecosystems, reduce biodiversity and hinder ecosystem services. The detection of unnoticed changes in our surroundings especially for their effects on natural habitats is key to conserve the bounties of nature. The current study is focused on assessing the temporal changes in land use and the resultant landscape fragmentation within the Wardha River sub-basin, India between 2010 and 2025. The usage of machine learning and spatial drivers, such as digital elevation model (DEM), roadway, forest, residential area, and waterbody for land use modelling and its landscape fragmentation analysis is a novel approach to predict the changes in the near future. The simulated land use of the year 2020 has attained 87% accuracy when compared with the observed one, which then was applied for generating land use of 2025. Landscape fragmentation was executed using FRAGSTATS 4.2 software using 6 indices viz. class area (CA), percentage of land use (PLAND), number of patches (NP), patch density (PD), largest patch index (LPI), and area weighted mean shape index (AWMSI). A notable decrease in forest cover (5.6%) and an increase in built-up area (3.9%) was observed from 2010 to 2025. Forest area emerged as the most fragmented area after fallow land, characterized by a decreasing trend of LPI and progressive values of NP and AWMSI. Comparative analysis of landscape fragmentation indices at par with recently reported studies revealed serious implications of such changes on ecological connectivity and habitat quality of region. The study findings offer crucial insights into temporal land use dynamics and its fragmentation and the corresponding potential ecological consequences in the near future.</p>

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Assessment of Temporal Dynamics of Land Use and Landscape Fragmentation in the Wardha River Sub-Basin and their Potential Implications for Ecological Connectivity and Habitat Quality

  • 期刊论文

  • 发表日期：

    2025年3月1日

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  • Neha K. M. Nasim,
  • Asheesh Sharma,
  • Mandeep Poonia,
  • Ankush Rai,
  • Rakesh Kadaverugu,
  • Reinhard Hinkelmann

摘要

Unsustainable land use practices degrade ecosystems, reduce biodiversity and hinder ecosystem services. The detection of unnoticed changes in our surroundings especially for their effects on natural habitats is key to conserve the bounties of nature. The current study is focused on assessing the temporal changes in land use and the resultant landscape fragmentation within the Wardha River sub-basin, India between 2010 and 2025. The usage of machine learning and spatial drivers, such as digital elevation model (DEM), roadway, forest, residential area, and waterbody for land use modelling and its landscape fragmentation analysis is a novel approach to predict the changes in the near future. The simulated land use of the year 2020 has attained 87% accuracy when compared with the observed one, which then was applied for generating land use of 2025. Landscape fragmentation was executed using FRAGSTATS 4.2 software using 6 indices viz. class area (CA), percentage of land use (PLAND), number of patches (NP), patch density (PD), largest patch index (LPI), and area weighted mean shape index (AWMSI). A notable decrease in forest cover (5.6%) and an increase in built-up area (3.9%) was observed from 2010 to 2025. Forest area emerged as the most fragmented area after fallow land, characterized by a decreasing trend of LPI and progressive values of NP and AWMSI. Comparative analysis of landscape fragmentation indices at par with recently reported studies revealed serious implications of such changes on ecological connectivity and habitat quality of region. The study findings offer crucial insights into temporal land use dynamics and its fragmentation and the corresponding potential ecological consequences in the near future.