Quantification of the Land Potential for Scaling Agroforestry in South Asia

Ahmad, Firoz; Uddin, Md. Meraj; Goparaju, Laxmi; Rizvi, Javed; Biradar, Chandrashekhar

doi:10.1007/s42489-020-00045-0

Cited by 25 publications

(16 citation statements)

References 50 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the context of tropical rainforests management, a multi-sensor data-intensive approach could be explored to study long-term forests dynamics in the priority areas [69,70]. In addition, land-suitability analysis could be conducted to support wildfire mitigation through rehabilitation and agroforestry programs [71][72][73][74]. New trends in image processing, such as artificial intelligence methods, especially machine learning [75] and deep learning, can improve forest fire susceptibility analysis in the future [76][77][78].…”

Section: Future Researchmentioning

confidence: 99%

Spatial Prioritization for Wildfire Mitigation by Integrating Heterogeneous Spatial Data: A New Multi-Dimensional Approach for Tropical Rainforests

et al. 2022

View full text Add to dashboard Cite

Wildfires drive deforestation that causes various losses. Although many studies have used spatial approaches, a multi-dimensional analysis is required to determine priority areas for mitigation. This study identified priority areas for wildfire mitigation in Indonesia using a multi-dimensional approach including disaster, environmental, historical, and administrative parameters by integrating 20 types of multi-source spatial data. Spatial data were combined to produce susceptibility, carbon stock, and carbon emission models that form the basis for prioritization modelling. The developed priority model was compared with historical deforestation data. Legal aspects were evaluated for oil-palm plantations and mining with respect to their impact on wildfire mitigation. Results showed that 379,516 km2 of forests in Indonesia belong to the high-priority category and most of these are located in Sumatra, Kalimantan, and North Maluku. Historical data suggest that 19.50% of priority areas for wildfire mitigation have experienced deforestation caused by wildfires over the last ten years. Based on legal aspects of land use, 5.2% and 3.9% of high-priority areas for wildfire mitigation are in oil palm and mining areas, respectively. These results can be used to support the determination of high-priority areas for the REDD+ program and the evaluation of land use policies.

show abstract

Section: Future Researchmentioning

confidence: 99%

Spatial Prioritization for Wildfire Mitigation by Integrating Heterogeneous Spatial Data: A New Multi-Dimensional Approach for Tropical Rainforests

et al. 2022

View full text Add to dashboard Cite

show abstract

“…All Landsat 8 data were used for generating month-wise NDVI images as the proxy indicator of land degradation/ farm health (Meneses-Tovar 2011; Hult 2019) and their spatial patterns are widely recognized for GIS modeling and for identifying the land for agroforestry suitability (Ahmad et al 2020).…”

Section: Data Processing and Analysismentioning

confidence: 99%

“…Dhankher and Foyer (2018) observed that climate-resilient crops and trees are crucial to overcoming climate uncertainty and significantly increasing the nutritional quality of food. Ahmad et al (2020) highlighted the potential land for agroforestry in South Asia by using climate, edaphic, topographic, and ecological criteria. However, region-specific characterization of lands for agroforestry is important as national-level classifications are more general while regional/local classifications are more precise and specific (Nath et al 2021).…”

Section: Introductionmentioning

confidence: 99%

“…FAO, Food and Agricultural Organization framework MCDA for optimal and sustainable utilization of natural resources by minimizing biases in planning and management of land resources (Baja et al 2002;Jamil et al 2018a;Yohannes and Soromessa 2018). Geographical Information System (GIS) is used to overlay analysis, distribution of maps, and suitability levels' classification (Leisz et al 2005;Everest 2021) and is considered an excellent tool for proper planning and sustainable utilization of land resources (Lopresti et al 2015;Ahmad et al 2020). It has been successfully used for land suitability analysis for specific crops in many different regions of the world (FAO 2007;Joss et al 2008;Elsheikh et al 2013;Zolekar and Bhagat 2015;Singha and Swain 2016;Ahmad and Goparaju 2017b;Aldababseh et al 2018;Herzberg et al 2019).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Harnessing the Potentiality of Farm Landscape for Trees Based on Satellite Evaluation: A GIS Modeling Perspective

Ahmad¹,

Talukdar

Biradar³

et al. 2022

Anthr. Sci.

Self Cite

View full text Add to dashboard Cite

Increasing agroforestry areas is an important step to adapt to climate change, increase food security, and have many ecological and socio-economical benefits. Proper planning and strategies are required for the assessment of land potential and selection of suitable land for the multifunctional benefits of agroforestry. Remote sensing (RS) and geographical information system (GIS) tools are widely used to identify the priority areas for agroforestry and policy-making. The multi-high resolutions of Google pro mosaicked images were used as a base map for precision, detailed analysis, and valid interpretation. To identify the farm landscape suitability areas in the Belpada block of Belangiri district, Odisha, a GIS modeling approach was used based on satellite data measurement. The post-monsoon multi-date monthly cloud-free Landsat-8 data and products of the Digital Elevation Model were used to understand the farm landscape characteristics of agroforestry. Soil wetness, slope, drainage, and Normalized Difference Vegetation Index (NDVI) were used in the preparation of landscape suitability analysis. Overall 27.8% (134.16 sq. km) of land was highly suitable, 50.0% (241.85 sq. km) of land was moderately suitable and 19.7% (94.98 sq. km) was marginally suitable and the remaining 2.5% (12.01 sq. km) of land was found unsuitable for agroforestry. Out of 116 villages, 14 villages are found with high (greater than 70%) farmland potentiality, the highest is found in the Jalia village. The moderate and highly suitable land/villages should be given preference for tree-based farming in various agroforestry arrangements. The high-resolution farm landscape potential grid maps were produced for the first time which was earlier a research gap in the past that will support micro-level agroforestry planning. There is a need for a robust synergic approach when integrated with native and multifunctional trees in potentially suitable agroforestry farmland with adequate watershed management and conservation practices enriched with indigenous knowledge that will significantly support achieving the many sustainable development goals (SDGs) up to the smallest unit (village) level.

show abstract

“…Agroforestry systems extend over billion ha in diverse eco-region around the world (Kumar and Nair 2011) and havepotential to simultaneously offer diversification in agriculture to get diversified products (fuel, fodder, fruits, fibers) and supplements on the one hand and stabilizing the ecosystems (increase the tree cover thus increasing carbon sequestration potential) on the other hand (Bijalwan, 2013). Thus creates a more integrated, diverse, productive, profitable, healthy and sustainable land-use system than agriculture system (Sharma et al,2017b).Moreover, directly or indirectly, AGF has potential to significantly contribute toward the most challenging United nation's sustainable development goals (SDGs) like SDG 1 (no poverty), SDG 2 (mitigating hunger, food and nutrition security), SDG3 (healthy live and promote well-being), SDG 5 (women empowerment), SDG 6 (clean water and sanitation), SDG 7 (affordable and clean energy), SDG 13 (climate change mitigation and adaptation), SDG 15 (degraded land restoration and biodiversity loss) (Mbow et al, 2014;Ahmad et al, 2020). Also, agroforestry can restore the ecosystem by the reclamation of the degraded and wastelands (Sharma et al, 2017a) and the only option to increase the global forest cover.…”

Section: Agroforestry Systemmentioning

confidence: 99%

Strategies Sustainable Management of Agroforestry in Climate Change Mitigation and Adaptation

Verma¹,

Sharma²,

Kumar³

et al. 2021

Int.J.Curr.Microbiol.App.Sci

View full text Add to dashboard Cite

Global climate change caused by rising levels of carbon dioxide (CO 2 ) and other greenhouse gases are recognized as a serious environmental issue of the twenty-first century. Climate change leads to land degradation leads to adverse effects on the productivity of the crops thus ultimately affecting the food and livelihood security of the people. Although, agroforestry, the purposeful growing of trees and crops in interacting combinations, has been practised in the world since time immemorial as a traditional land-use system. It is a shining approach which merges century's old knowledge with modern science in a system and the concept of thinking small scale farmer's to achieve potentially big and transformative outcomes. In recent times agroforestry practices are receiving huge attention as a sustainable land-management option because of its ecological, economic, and social attributes. Also, agroforestry simultaneously offers large-scale diversification in agriculture to get supplement fuel, fodder, fruits and fibres on one hand and stabilizing the ecosystems (increase the tree cover, production of timber and other wood products thus reduces the pressure on the forests) on the other hand. Furthermore, agroforestry offers important opportunities to combat climate change by mitigation strategies like carbon sequestration potential and decreasing the greenhouse gases or by adapting to the changing climate like creating the microclimate and increasing the biodiversity. However, in association with this agroforestry also create synergies between both adaptation and mitigation actions which is the necessity of the current times. Especially, agroforestry approaches like the use of Multi-Purpose Tree Species (MPTs), relay-cropping, terracing and contour cultivation, strip and alley cropping are appropriate to fulfil the needs of low-resource farmers by restoring and increasing land productivity through climate change mitigation and adaptation.

show abstract

Quantification of the Land Potential for Scaling Agroforestry in South Asia

Cited by 25 publications

References 50 publications

Spatial Prioritization for Wildfire Mitigation by Integrating Heterogeneous Spatial Data: A New Multi-Dimensional Approach for Tropical Rainforests

Spatial Prioritization for Wildfire Mitigation by Integrating Heterogeneous Spatial Data: A New Multi-Dimensional Approach for Tropical Rainforests

Harnessing the Potentiality of Farm Landscape for Trees Based on Satellite Evaluation: A GIS Modeling Perspective

Strategies Sustainable Management of Agroforestry in Climate Change Mitigation and Adaptation

Contact Info

Product

Resources

About