GIS-based assessment of land-agroforestry potentiality of Jharkhand State, India

Q1 Social Sciences Regional Sustainability Pub Date : 2022-09-01 DOI:10.1016/j.regsus.2022.10.004
Firoz Ahmad , Nazimur Rahman Talukdar , Laxmi Goparaju , Chandrashekhar Biradar , Shiv Kumar Dhyani , Javed Rizvi
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引用次数: 1

Abstract

Scaling-up agroforestry areas in various forms is a scientific path towards achieving various sustainable development goals (SDGs), especially improving livelihood, reducing poverty, conserving environment and biodiversity, and transforming climate change. In this study, the effort was made to investigate the land potentiality for agroforestry at the district level in Jharkhand State, India by applying geographic information system (GIS) modeling technology using climate (temperature and precipitation), topography (slope and elevation), ecology (percent tree cover and normalized difference vegetation index (NDVI)), and social economics (poverty rate and tribal dominance) factors. The results revealed that six districts of Jharkhand State had agroforestry potential greater than 60.00%. The highest agroforestry suitability was found in Simdega District (78.20%), followed by Pakur (76.25%), West Singhbhum (72.70%), Dumka (68.84%), Sahibganj (64.63%), and Godda (63.43%) districts. Additionally, we identified 513 out of 32,620 villages of Jharkhand State potentially suitable (agroforestry suitability ≥80.00%) for agroforestry with the objective of life improvement among marginalized society. Under the outside forest area, 8.58% of the total geographical land of Jharkhand State was wasteland, much of which was found suitable for agroforestry practices. The agroforestry setups in those wastelands can absorb 637 ​t carbon annually in long run and can provide direct economic benefits to the locals besides additional income for carbon emission reduction. This study concluded that Jharkhand State has plenty of high potential land for agroforestry, and adoption of agroforestry at the village level must be given high priority. This study could guide the nodal authorities to prepare appropriate strategies for scaling the tree cover in agroforestry systems in village-level landscape planning which needs policy attention and investment for achieving 9 out of the 17 SDGs.

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基于gis的印度贾坎德邦土地-农林业潜力评估
以各种形式扩大农林业面积,是实现各项可持续发展目标,特别是改善民生、减少贫困、保护环境和生物多样性、应对气候变化的科学途径。本研究利用地理信息系统(GIS)建模技术,结合气候(温度和降水)、地形(坡度和高程)、生态(树木覆盖率和归一化植被指数(NDVI))和社会经济(贫困率和部落优势)因素,对印度贾坎德邦地区农林业用地潜力进行了研究。结果表明,贾坎德邦有6个区农林业潜力大于60.00%。农林业适宜度最高的是Simdega区(78.20%),其次是Pakur区(76.25%)、West singhhumm区(72.70%)、Dumka区(68.84%)、Sahibganj区(64.63%)和Godda区(63.43%)。此外,我们在贾坎德邦的32,620个村庄中确定了513个潜在适合农林业(农林业适宜性≥80.00%),以改善边缘化社会的生活为目标。在外部森林面积下,贾坎德邦8.58%的地理总面积为荒地,其中大部分被发现适合农林业实践。在这些荒地上设置农林业设施,长期每年可吸收637 t碳,除了碳减排的额外收入外,还可以为当地提供直接的经济效益。这项研究的结论是,贾坎德邦有大量高潜力的农林业用地,必须高度优先考虑在村一级采用农林业。这项研究可以指导节点当局在村级景观规划中制定适当的策略,以扩大农林业系统中的树木覆盖范围,这需要政策关注和投资,以实现17个可持续发展目标中的9个。
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来源期刊
Regional Sustainability
Regional Sustainability Social Sciences-Urban Studies
CiteScore
3.70
自引率
0.00%
发文量
20
审稿时长
21 weeks
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