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<p>Earth is grappling with crucial challenges due to the Quadruple Squeeze, which influences natural resources, biodiversity, and critical ecosystem services. Urbanization is a major driver that alters the land system and intensifies the ecosystem crisis due to inadequate management practices, leaving several patches of urban marginal lands (UML) in countries like India. Therefore, UML can be utilized for forestry development to foster sustainable urban landscaping. In this regard, the present research aimed to delineate UML in Patiala, Punjab, India. It followed a GIS-based suitability analysis to explore its potential for polyculture plantations, carbon sequestration, and bioenergy production, representing the value of ecosystem services and the circular economy. Results depicted that around 990&#xa0;ha of UML has the potential for multiple biomass and bioenergy tree plantations based on eco-physiological traits. Field and literature surveys suggested that six tree species, viz., <i>Azadirachta indica</i>,<i> Populus deltoides</i>,<i> Dalbergia sissoo</i>,<i> Leucaena leucocephala</i>,<i> Acacia nilotica</i>, and <i>Albizia lebbeck</i>, were found to be potent. These plantations, under the polyculture approach, can produce a bioenergy of 97.87 TJ y<sup>-1</sup> and sequester carbon of over 2330.79 t y<sup>-1</sup>. The bioenergy production potential from this strategy could provide 27.17 GW h y<sup>-1</sup> electricity to around 107 average-sized villages in India. Therefore, this study explored the unique potential of UML for improving economic returns and ecosystem services. Amongst the identified candidate tree species, <i>P. deltoides</i> showed the highest potential for biomass (1217.37 t y<sup>-1</sup>) and carbon sequestration (646.80 t y<sup>-1</sup>), whereas <i>A. indica</i> was found to be the least potent for the tested parameters, i.e., 207.90 t y<sup>-1</sup> and 103.95 t y<sup>-1</sup>, respectively. Furthermore, under a validation study, 8 points coincided with the centroids of 24 randomly recognized land parcel areas via a Python-based geo-processing tool. The results were also validated through statistical analyses that depicted the Kappa coefficient (κ) of 0.61. Considering policy implications, this research can provide a perspective for a sustainable urban forestry practice that can be used elsewhere after moderate optimization to meet the regional energy needs and carbon capture goals.</p>

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Geospatial evaluation of urban marginal lands for the forestry development in Northern India

  • 期刊论文

  • 发表日期：

    2025年9月19日

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  • Sheikh Adil Edrisi,
  • Vivek Verma,
  • Deepak Kumar

摘要

Earth is grappling with crucial challenges due to the Quadruple Squeeze, which influences natural resources, biodiversity, and critical ecosystem services. Urbanization is a major driver that alters the land system and intensifies the ecosystem crisis due to inadequate management practices, leaving several patches of urban marginal lands (UML) in countries like India. Therefore, UML can be utilized for forestry development to foster sustainable urban landscaping. In this regard, the present research aimed to delineate UML in Patiala, Punjab, India. It followed a GIS-based suitability analysis to explore its potential for polyculture plantations, carbon sequestration, and bioenergy production, representing the value of ecosystem services and the circular economy. Results depicted that around 990 ha of UML has the potential for multiple biomass and bioenergy tree plantations based on eco-physiological traits. Field and literature surveys suggested that six tree species, viz., Azadirachta indica, Populus deltoides, Dalbergia sissoo, Leucaena leucocephala, Acacia nilotica, and Albizia lebbeck, were found to be potent. These plantations, under the polyculture approach, can produce a bioenergy of 97.87 TJ y-1 and sequester carbon of over 2330.79 t y-1. The bioenergy production potential from this strategy could provide 27.17 GW h y-1 electricity to around 107 average-sized villages in India. Therefore, this study explored the unique potential of UML for improving economic returns and ecosystem services. Amongst the identified candidate tree species, P. deltoides showed the highest potential for biomass (1217.37 t y-1) and carbon sequestration (646.80 t y-1), whereas A. indica was found to be the least potent for the tested parameters, i.e., 207.90 t y-1 and 103.95 t y-1, respectively. Furthermore, under a validation study, 8 points coincided with the centroids of 24 randomly recognized land parcel areas via a Python-based geo-processing tool. The results were also validated through statistical analyses that depicted the Kappa coefficient (κ) of 0.61. Considering policy implications, this research can provide a perspective for a sustainable urban forestry practice that can be used elsewhere after moderate optimization to meet the regional energy needs and carbon capture goals.