Geospatial Perspectives of Sustainable Forest Management to Enhance Ecosystem Services and Livelihood Security

Kumar, Amit; Ekka, Pawan; Patra, Subhashree; Kumar, Gajendra; Kishore, Bodi Surya Pratap Chandra; Kumar, Rahul; Saikia, Purabi

doi:10.1002/9781119788157.ch2

Cited by 6 publications

(3 citation statements)

References 164 publications

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“…Although we observed a substantial variation in ecosystem services preferences from different land uses, the forest is found to be the most useful among all in delivering the maximum well-being benefits. The beneficial contributions of other land use such as swidden agriculture land use, fruit orchard and low-lying agriculture land use reflect the multifunctionality of the landscape and its roles in sustaining the ecosystem services required to meet various well-being needs [56].…”

Section: Discussionmentioning

confidence: 99%

“…Our study findings supports similar research by others [40], which showed that ecosystem services use differs across people's well-being situations and partly relates to resource ownership in a social-ecological system. Land ownership status is a strong predictor of the distribution of ecosystem services with differing values for well-being needs [37,55,56]. For instance, people without secure land rights in the state ownership context preferred forest and swidden agricultural land for meeting several well-being needs (adequate food, income, nutrition, livestock foraging and water for use).…”

Section: Es Value Associated With Different Land Usesmentioning

confidence: 99%

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Land Use Preference for Ecosystem Services and Well-Being in Chittagong Hill Tracts of Bangladesh

Ahammad

Stacey

Sunderland

et al. 2022

Forests

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Researchers increasingly investigate ecosystem services to assess their role in supporting livelihoods, well-being and economic value in order to inform decision-making. Many studies have explored links between ecosystem services and community-based livelihoods, with a very narrow focus on the importance of land use to well-being. We evaluated the value of ecosystem services from various land uses supporting livelihoods and the overall well-being of local communities in the Chittagong Hill Tracts (CHT) of Bangladesh. By applying a participatory habitat valuation approach with the ethnic communities from eight villages, we explored their preferences for, and perceptions of, ecosystem services and their sources in a multi-functional landscape under different land use, i.e., forest, swidden and low-land agriculture, fruit orchard and water bodies, and three land ownership contexts (state, private and mixed ownership on forest lands). Our findings revealed that community land use preference for ecosystem services supports ten different well-being needs. Among others, forests were valued land used for two-thirds of well-being needs, including the provision of shelter, nutrition, primary health care, an adequate supply of potable water, a lower level of ecological stress (i.e., protection from associated landslide soil erosion), cultural and spiritual benefits and livestock foraging. People commonly valued the food, income and nutrition contributions of all land uses. However, different forest and land ownership contexts and rights within the landscape influence people’s preference for ecosystem services from land use in supporting their well-being. People with secure ownership (i.e., private and private-community) showed a broad and positive appreciation for ecosystem services to meet their well-being needs. Our study highlights that local and ethnic people’s land-use preferences and ownership contexts are critical factors in assessing well-being in the context of multifunctional landscapes. We recommend that ecosystem services be considered in future decision-making related to forest and land use to support human well-being.

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Section: Discussionmentioning

confidence: 99%

Section: Es Value Associated With Different Land Usesmentioning

confidence: 99%

Land Use Preference for Ecosystem Services and Well-Being in Chittagong Hill Tracts of Bangladesh

Ahammad

Stacey

Sunderland

et al. 2022

Forests

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“…We need to use land better, so we can avoid the problems of building more houses and roads and changing the land. We need to find a way that is good for the money, nature, and the people [9,10]. By employing scientific models and spatial analysis techniques, planners can evaluate the potential consequences of land use changes, identify critical areas for conservation, and guide land use decision-making processes [11,12].…”

Section: Introductionmentioning

confidence: 99%

Predicting Future Land Use Utilizing Economic and Land Surface Parameters with ANN and Markov Chain Models

Rani,

Gupta,

Singh

et al. 2023

Earth

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The main aim of this study is to comprehensively analyze the dynamics of land use and land cover (LULC) changes in the Bathinda region of Punjab, India, encompassing historical, current, and future trends. To forecast future LULC, the Cellular Automaton–Markov Chain (CA) based on artificial neural network (ANN) concepts was used using cartographic variables such as environmental, economic, and cultural. For segmenting LULC, the study used a combination of ML models, such as support vector machine (SVM) and Maximum Likelihood Classifier (MLC). The study is empirical in nature, and it employs quantitative analyses to shed light on LULC variations through time. The result indicates that the barren land is expected to shrink from 55.2 km2 in 1990 to 5.6 km2 in 2050, signifying better land management or increasing human activity. Vegetative expanses, on the other hand, are expected to rise from 81.3 km2 in 1990 to 205.6 km2 in 2050, reflecting a balance between urbanization and ecological conservation. Agricultural fields are expected to increase from 2597.4 km2 in 1990 to 2859.6 km2 in 2020 before stabilizing at 2898.4 km2 in 2050. Water landscapes are expected to shrink from 13.4 km2 in 1990 to 5.6 km2 in 2050, providing possible issues for water resources. Wetland regions are expected to decrease, thus complicating irrigation and groundwater reservoir sustainability. These findings are confirmed by strong statistical indices, with this study’s high kappa coefficients of Kno (0.97), Kstandard (0.95), and Klocation (0.97) indicating a reasonable level of accuracy in CA prediction. From the result of the F1 score, a significant issue was found in MLC for segmenting vegetation, and the issue was resolved in SVM classification. The findings of this study can be used to inform land use policy and plans for sustainable development in the region and beyond.

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Introduction to Forest Monitoring Using Advanced Remote Sensing Technology – An Editorial Message

Pandey¹,

Arellano²

2022

Advances in Remote Sensing for Forest Monitoring

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Geospatial Perspectives of Sustainable Forest Management to Enhance Ecosystem Services and Livelihood Security

Cited by 6 publications

References 164 publications

Land Use Preference for Ecosystem Services and Well-Being in Chittagong Hill Tracts of Bangladesh

Land Use Preference for Ecosystem Services and Well-Being in Chittagong Hill Tracts of Bangladesh

Predicting Future Land Use Utilizing Economic and Land Surface Parameters with ANN and Markov Chain Models

Introduction to Forest Monitoring Using Advanced Remote Sensing Technology – An Editorial Message

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