Evaluating the rate of change and predicting the future scenario of spatial pattern using Markov chain model: a study from Baghmundi C.D. Block of Purulia district, West Bengal

Ghosh, Debasis; Karmakar, Manas; Banerjee, Monali; Mandal, Mrinal

doi:10.1007/s12518-020-00345-0

Cited by 12 publications

(2 citation statements)

References 63 publications

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“…The rapid industrial development and increasing resource demands in the past two centuries have led to major land use/cover changes (LUCC), land degradation, and deforestation in many parts of the world. Understanding the spatiotemporal pattern of LUCC provides critical information for more e cient management practices towards sustainable development and SFP 17 . In addition, it is acknowledged that intensive LUCC negatively impact the environment and the socioeconomic conditions 18 .…”

Section: Anthropogenic Pressurementioning

confidence: 99%

Scenario-based Analysis of the Impacts of Lake Drying on Sustainable Food Production

Feizizzadeh¹,

Lakes²,

Omarzadeh

et al. 2021

Preprint

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In many parts of the world, lake drying is caused by water management failures, while the phenomenon is exacerbated by climate change. Lake Urmia in Northern Iran is drying up at such an alarming rate that it is considered to be a dying lake, which has dire consequences for the whole region. While salinization caused by a dying lake is well understood and known to influence the local and regional food production, other potential impacts are as yet unknown. Food production in the Urmia region has predominantly been regionally-oriented and sustainable, particularly in terms of water demand. To explore current and projected impacts of the dying lake on sustainable food production (SFP) we investigated changes in climatic conditions, land use, and land degradation for the period 1990-2020. We examined the environmental impacts of lake drought on SFP through an integrated scenario-based geoinformation framework. The results show that the lake drought has significantly affected food production and has reduced the proportion of SFP over the past three decades. Based on a combination of cellular automata and Markov modelling, the conditions are projected for the next 30 years and are predicted to exacerbate further. To mitigate these issues and support SFP, this research provides some policy recommendations and results for tangible action plans. We consider the modification of cropping patterns towards low water demand crops as one the cheapest and most efficient solutions for reducing the overall agricultural water consumption.

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Section: Anthropogenic Pressurementioning

confidence: 99%

Scenario-based Analysis of the Impacts of Lake Drying on Sustainable Food Production

Feizizzadeh¹,

Lakes²,

Omarzadeh

et al. 2021

Preprint

View full text Add to dashboard Cite

show abstract

“…In the past two centuries, rapid industrial development and increasing resource demands have led to major land use/cover changes (LUCC), land degradation, and deforestation in many parts of the world. Understanding the spatiotemporal pattern of LUCC provides critical information for more efficient management practices towards sustainable development and FP 17 . In addition, intensive LUCC can negatively impact the environment and socioeconomic conditions 18 .…”

Section: Introductionmentioning

confidence: 99%

Scenario-based analysis of the impacts of lake drying on food production in the Lake Urmia Basin of Northern Iran

Feizizadeh

Lakes

Omarzadeh

et al. 2022

Sci Rep

View full text Add to dashboard Cite

In many parts of the world, lake drying is caused by water management failures, while the phenomenon is exacerbated by climate change. Lake Urmia in Northern Iran is drying up at such an alarming rate that it is considered to be a dying lake, which has dire consequences for the whole region. While salinization caused by a dying lake is well understood and known to influence the local and regional food production, other potential impacts by dying lakes are as yet unknown. The food production in the Urmia region is predominantly regional and relies on local water sources. To explore the current and projected impacts of the dying lake on food production, we investigated changes in the climatic conditions, land use, and land degradation for the period 1990–2020. We examined the environmental impacts of lake drought on food production using an integrated scenario-based geoinformation framework. The results show that the lake drought has significantly affected and reduced food production over the past three decades. Based on a combination of cellular automaton and Markov modeling, we project the food production for the next 30 years and predict it will reduce further. The results of this study emphasize the critical environmental impacts of the Urmia Lake drought on food production in the region. We hope that the results will encourage authorities and environmental planners to counteract these issues and take steps to support food production. As our proposed integrated geoinformation approach considers both the extensive impacts of global climate change and the factors associated with dying lakes, we consider it to be suitable to investigate the relationships between environmental degradation and scenario-based food production in other regions with dying lakes around the world.

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Assessments of Bio-physical Characteristics of Vegetation Cover in Western Part of Purulia District in West Bengal

Dutta¹,

Chatterjee²

2022

Conservation, Management and Monitoring of Forest Resources in India

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Evaluating the rate of change and predicting the future scenario of spatial pattern using Markov chain model: a study from Baghmundi C.D. Block of Purulia district, West Bengal

Cited by 12 publications

References 63 publications

Scenario-based Analysis of the Impacts of Lake Drying on Sustainable Food Production

Scenario-based Analysis of the Impacts of Lake Drying on Sustainable Food Production

Scenario-based analysis of the impacts of lake drying on food production in the Lake Urmia Basin of Northern Iran

Assessments of Bio-physical Characteristics of Vegetation Cover in Western Part of Purulia District in West Bengal

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