What is it about?

Agroforestry refers to the land use systems where woody perennials such as trees, shrubs, palms, bamboo etc. are cultivated on the related land units as agricultural crops and/or animal rearing [1,2]. It has been practiced in many countries to offer a wide range of economic, social, and ecological benefits by increasing per capita income of the farms by planting high value tree species [3]. It also leads to improving the soil and land fertility as well as productivity [4], enhances household resilience [3], reduces the impacts of climate variability and change [5,6] by conserving and safeguarding biodiversity [7,8,9] and improving and ameliorating air and water quality [10,11,12]. The agroforestry retains high importance because it provides enormous benefits as well as has capacity to safeguard the food security for the future generation also be discussed in 1st world congress of agroforestry (Working Together for Sustainable Land Use Systems) held in the year 2004 in Florida, USA [13].

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Why is it important?

Agroforestry has drawn the attention of researchers due to its capacity to reduce the poverty and land degradation, improve food security and mitigate the climate change. However, the progress in promoting agroforestry is held back due to the lack of reliable data sets and appropriate tools to accurately map and to have an adequate decision making system for agroforestry modules. Agroforestry suitability being one special form of land suitability is very pertinent to study in the current times when there is tremendous pressure on the land as it is a limited commodity. The study aims for applying the geo-spatial tools towards visualizing various soil and environmental data to reveal the trends and interrelationships and to achieve a nutrient availability and agroforestry suitability map. Using weight matrix and ranks, individual maps were developed in ArcGIS 10.1 platform to generate nutrient availability map, which was later used to develop agroforestry suitability map. Watersheds were delineated using DEM in some part of the study area and were evaluated for prioritizing it and agroforestry suitability of the watersheds were also done as per the schematic flowchart. Agroforestry suitability regions were delineated based upon the weight and ranks by integrated mapping. The total open area was identified 42.4% out of which 21.6% area was found to have high suitability towards agroforestry. Within the watersheds, 22 village points were generated for creating buffers, which were further evaluated showing its proximity to high suitable agroforestry sites thus generating tremendous opportunity to the villagers to carry out agroforestry projects locally. This research shows the capability of remote sensing in studying agroforestry practices and in estimating the prominent factors for its optimal productivity. The ongoing agroforestry projects can be potentially diverted in the areas of high suitability as an extension. The use of ancillary data in GIS domain can have enormous ability to map the land for the benefit of rural people even up to the village level.

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This page is a summary of: Agroforestry suitability analysis based upon nutrient availability mapping: a GIS based suitability mapping, AIMS Agriculture and Food, January 2017, American Institute of Mathematical Sciences (AIMS),
DOI: 10.3934/agrfood.2017.2.201.
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