Agroforestry environment, potentiality and risk in India: a remote sensing and GIS understanding

被引:0
|
作者
Firoz Ahmad
Md Meraj Uddin
Laxmi Goparaju
Nazimur Rahman Talukdar
Javed Rizvi
机构
[1] Vindhyan Ecology and Natural History Foundation,Department of Mathematics
[2] Uttar Pradesh,Wildlife Conservation Research Centre, Department of Ecology and Environmental Sciences
[3] Ranchi University,World Agroforestry (ICRAF)
[4] Assam University,undefined
[5] Centre for Biodiversity and Climate Change Research,undefined
[6] South Asia Regional Program,undefined
关键词
Agroforestry; GIS; Cropland potentiality; Tree cover; Poverty; Climate; India;
D O I
暂无
中图分类号
学科分类号
摘要
The study utilized the tree covers per cent, agroforestry suitability, present and future (2050) climate, agriculture vulnerability (2050), percentage of people living Below Poverty Line (BPL) data sets and manoeuvered them in GIS platform to understand the agroforestry extent, potentiality and the critical multidimensional relationship among them. The total agroforestry area in India (if defined the tree cover per cent greater than 10% on agricultural land) was found to be 28 million hectares that is approximately 17% of the total agriculture land area which is remarkably less (global average 43%). The analysis further revealed that the agriculture land potential in India towards the agroforestry suitability category (S1: High suitability) is alone 75.6 million hectares that are 2.7 times of total existing agroforestry extent. Among all agro-ecological regions of India, the Eastern Plain agro-ecological region has high cropland potentiality which will help significantly in magnifying agroforestry set-up in the future. The analysis further revealed a very high poverty per cent (41–80%) category has approximately 5.3 million hectares of land under agroforestry, whereas the cropland potentiality (category S1) towards agroforestry was found approximately four times of the present agroforestry extent. The Western Ghats and the Coastal Plain agro-ecological region maintain a diversified agroforestry environment that will face double risk in the future (2050) due to precipitation deficit and also from significant temperature increase. Our analysis highlights the important agroforestry-related findings that will assist crucially to the decision-makers of India for implementing synergic strategies/planning of agroforestry at country/state/district/village levels.
引用
收藏
页码:15183 / 15203
页数:20
相关论文
共 50 条
  • [1] Agroforestry environment, potentiality and risk in India: a remote sensing and GIS understanding
    Ahmad, Firoz
    Uddin, Md Meraj
    Goparaju, Laxmi
    Talukdar, Nazimur Rahman
    Rizvi, Javed
    ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY, 2021, 23 (10) : 15183 - 15203
  • [3] Assessment of ecotourism potentiality in GHNPCA, Himachal Pradesh, India, using remote sensing, GIS and MCDA techniques
    Nemai Sahani
    Asia-Pacific Journal of Regional Science, 2019, 3 : 623 - 646
  • [4] GIS-based assessment of land-agroforestry potentiality of Jharkhand State, India
    Ahmad, Firoz
    Talukdar, Nazimur Rahman
    Goparaju, Laxmi
    Biradar, Chandrashekhar
    Dhyani, Shiv Kumar
    Rizvi, Javed
    REGIONAL SUSTAINABILITY, 2022, 3 (03) : 254 - 268
  • [5] GIS-based assessment of land-agroforestry potentiality of Jharkhand State, India
    Firoz AHMAD
    Nazimur Rahman TALUKDAR
    Laxmi GOPARAJU
    Chandrashekhar BIRADAR
    Shiv Kumar DHYANI
    Javed RIZVI
    RegionalSustainability, 2022, 3 (03) : 254 - 268
  • [6] Remote Sensing and GIS Techniques for Forest Resource Monitoring and Agriculture Potentiality
    Samanta, Sailesh
    2012 SIXTH INTERNATIONAL CONFERENCE ON SENSING TECHNOLOGY (ICST), 2012, : 36 - 41
  • [7] Assessment of remote sensing and GIS application in identification of land suitability for agroforestry: A case study of Samastipur, Bihar, India
    Ahmad, Firoz
    Uddin, Md Meraj
    Goparaju, Laxmi
    CONTEMPORARY TRENDS IN GEOSCIENCE, 2018, 7 (02) : 214 - 227
  • [8] Remote sensing and GIS in understanding the landscape dynamics
    Environmental Science and Engineering (Subseries: Environmental Science), 2015, 145 : 377 - 390
  • [9] Mapping and assessment of flood risk in Prayagraj district, India: a GIS and remote sensing study
    Saha A.K.
    Agrawal S.
    Nanotechnology for Environmental Engineering, 2020, 5 (02)
  • [10] Remote sensing of the environment and natural resources in India
    Grigor'ev, Al.A.
    Kondrat'ev, K.Ya.
    Issledovanie Zemli iz Kosmosa, 1993, (03): : 118 - 123