Suitability analysis for agroforestry in District Hamirpur of Himachal Pradesh, India by using AHP method

IF 2.2 3区 农林科学 Q2 AGRONOMY Agroforestry Systems Pub Date : 2025-02-01 DOI:10.1007/s10457-025-01139-2
Avinash Kumar Bhatia, Saakshi Chauhan, Kashmir Singh Pant, Maneesh Singh Bhandari, Prem Prakash Sharma, Parveen Kashyap
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Abstract

Agroforestry presents a sustainable and effective approach to address land degradation and climate change while enhancing social and economic well-being. It is crucial to evaluate the current status of agroforestry and identify opportunities for its expansion. This includes mapping of existing agroforestry areas and conducting thorough analyses to pinpoint regions with favorable conditions for future adoption of agroforestry practices. In the present study conducted in Himachal Pradesh’s Hamirpur district, geospatial technology was employed to integrate various ecological, topographical, soil, climatic, and socio-economic criteria. The analysis utilized analytic hierarchy process (AHP) and indicated that 20.78% of the area was highly suitable, 20.51% moderately suitable, 9.76% marginally suitable, 2.80% currently not suitable, and about 46.15% of the area was permanently not suitable. The generated agroforestry suitability map was cross-referenced with high-resolution images from Google Earth by generating a total of 200 random points with an overall accuracy of 83% and a kappa coefficient of 0.79. These findings provide valuable insights for policymakers in allocating funds for agroforestry projects and advancing the goals of GROW report launched by NITI Aayog. Such assessments are therefore essential for guiding targeted interventions and supporting government departments and industries for greening and restoration projects.

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用层次分析法分析印度喜马偕尔邦哈米尔普尔区农林业的适宜性
农林业为解决土地退化和气候变化问题提供了一种可持续和有效的方法,同时提高了社会和经济福祉。评价农林业的现状并确定其扩大的机会是至关重要的。这包括绘制现有农林业地区的地图,并进行彻底的分析,以确定未来采用农林业做法条件有利的地区。在喜马偕尔邦的哈米尔普尔地区进行的本研究中,地理空间技术被用于整合各种生态、地形、土壤、气候和社会经济标准。采用层次分析法(AHP)进行分析,结果表明:高度适宜面积占20.78%,中等适宜面积占20.51%,边缘适宜面积占9.76%,目前不适宜面积占2.80%,永久不适宜面积占46.15%。生成的农林业适宜性图与谷歌Earth的高分辨率图像进行交叉比对,共生成200个随机点,总体精度为83%,kappa系数为0.79。这些发现为决策者在为农林业项目分配资金和推进NITI Aayog发布的GROW报告的目标方面提供了宝贵的见解。因此,这种评估对于指导有针对性的干预措施和支持政府部门和行业进行绿化和恢复项目至关重要。
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来源期刊
Agroforestry Systems
Agroforestry Systems 农林科学-林学
CiteScore
5.30
自引率
9.10%
发文量
78
审稿时长
4.5 months
期刊介绍: Agroforestry Systems is an international scientific journal that publishes results of novel, high impact original research, critical reviews and short communications on any aspect of agroforestry. The journal particularly encourages contributions that demonstrate the role of agroforestry in providing commodity as well non-commodity benefits such as ecosystem services. Papers dealing with both biophysical and socioeconomic aspects are welcome. These include results of investigations of a fundamental or applied nature dealing with integrated systems involving trees and crops and/or livestock. Manuscripts that are purely descriptive in nature or confirmatory in nature of well-established findings, and with limited international scope are discouraged. To be acceptable for publication, the information presented must be relevant to a context wider than the specific location where the study was undertaken, and provide new insight or make a significant contribution to the agroforestry knowledge base
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