Drivers of land use/cover change and its impact on Pong Dam wetland

Malik, M.; C., S.

doi:10.1007/s10661-019-7347-x

Cited by 14 publications

(8 citation statements)

References 21 publications

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“…The reservoir was designated as 'Wetlands of international importance' under the Ramsar Convention in 2002 for its rich diversity. Further, it acts as a temporary shelter for winter migratory birds (Malik and Rai, 2019). The river merges with Satluj at Harike, where another wetland is formed named Harike wetland.…”

Section: History Of River Beasmentioning

confidence: 99%

“…The majority of the work has been done on various aspects of Harike wetland in Punjab (Chopra et al, 2001;Jain et al, 2008;Sarkar and Jain, 2008;Brraich and Jangu, 2016;Singh et al, 2020). Various studies have shown a decline in the water quantity of rivers, leading to degradation of the habitat and increased anthropogenic activities in the area, including agriculture (Jain et al, 2008;Malik and Rai, 2019;Singh et al, 2020).…”

Section: Avian Diversity At Small Ponds and Wetlands Of Statementioning

confidence: 99%

“…Rapid conversion of scrubland land for agriculture purposes has created severe pressure in wetland existence. Under the various anthropogenic and natural pressures, the survival age of the wetland has been estimated to be about 100 years (Malik and Rai, 2019). The case of Harike wetland on river Beas is almost the same.…”

Section: Avian Diversity At Small Ponds and Wetlands Of Statementioning

confidence: 99%

See 2 more Smart Citations

Biological Diversity: Current Status and Conservation Policies

Kumar¹,

Kumar²,

Kamboj³

et al. 2021

Biological Diversity: Current Status and Conservation Policies

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Section: History Of River Beasmentioning

confidence: 99%

Section: Avian Diversity At Small Ponds and Wetlands Of Statementioning

confidence: 99%

Section: Avian Diversity At Small Ponds and Wetlands Of Statementioning

confidence: 99%

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Biological Diversity: Current Status and Conservation Policies

Kumar¹,

Kumar²,

Kamboj³

et al. 2021

Biological Diversity: Current Status and Conservation Policies

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“…With global environmental changes and deepening research of sustainable development, the study of Land Use and Land Cover (LULC) Change has attracted more and more attention of the researchers worldwide. The focus of research has also gradually shifted from large scale at territory or regional scale to ecologically fragile areas such as wetland 1 , 2 , river basin 3 – 6 and mining area 7 , 8 .…”

Section: Introductionmentioning

confidence: 99%

Scenario simulation of land use and land cover change in mining area

Xiao-yan

Zhang

Cong

et al. 2021

Sci Rep

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In this study, we selected 11 townships with severe ground subsidence located in Weishan County as the study area. Based on the interpretation data of Landsat images, the Binary logistic regression model was used to explore the relationship between land use and land cover (LULC) change and the related 7 driving factors at a resolution of 60 m. Using the CLUE-S model, combined with Markov model, the simulation of LULC under three scenarios—namely, natural development scenario, ecological protection scenario and farmland protection scenario—were explored. Firstly, using LULC map in 2005 as input data, we predicted the land use spatial distribution pattern in 2016. By comparing the actual LULC map in 2016 with the simulated map in 2016, the prediction accuracy was evaluated based on the Kappa index. Then, after validation, the spatial distribution pattern of LULC in 2025 under the three scenarios was simulated. The results showed the following: (1) The driving factors had satisfactory explanatory power for LULC changes. The Kappa index was 0.82, which indicated good simulation accuracy of the CLUE-S model. (2) Under the three scenarios, the area of other agricultural land and water body showed an increasing trend; while the area of farmland, urban and rural construction land, subsided land with water accumulation, and tidal wetland showed a decreasing trend, and the area of urban and rural construction land and tidal wetland decreased the fastest. (3) Under the ecological protection scenario, the farmland decreased faster than the other two scenarios, and most of the farmland was converted to ecological land such as garden land and water body. Under the farmland protection scenario, the area of tidal wetland decreased the fastest, followed by urban and rural construction land. We anticipate that our study results will provide useful information for decision-makers and planners to take appropriate land management measures in the mining area.

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“…With global environmental changes and deepening research of sustainable development, the study of Land Use/Land Cover Change (LUCC) has attracted more and more attention of the researchers worldwide. The focus of research has also gradually shifted from large scale at territory or regional scale to ecologically fragile areas such as wetland 1,2 , river basin [3][4][5][6] and mining area 7,8 . The landscape of mining area is featured mainly by mining and other human production activities.…”

Section: Introductionmentioning

confidence: 99%

Scenario Simulation and Landscape Pattern Dynamic Changes of Land Use in Mining Area

Xiao-yan¹,

Zhang²,

Cong³

et al. 2021

Preprint

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In this study, we selected 11 townships with severe ground subsidence located in Weishan County as the study area. Based on the interpretation data of Landsat images, the Binary logistic regression model was used to explore the relationship between land use change and the related 7 driving factors at a scale of 60m * 60m. Using the CLUE-S model, combined with Markov model, the simulation of land use under three scenarios–namely, natural development scenario, ecological protection scenario and farmland protection scenario–were explored. Firstly, using land use map in 2005 as input data, we predicted the land use spatial distribution pattern in 2016. By comparing the actual land use map in 2016 with the simulated map of land use pattern in 2016, the prediction accuracy was evaluated based on the Kappa index. Then, after validation, the distribution of land use pattern in 2025 under the three scenarios was simulated. The results showed the following: (1) The driving factors had satisfactory explanatory power for land use changes. The Kappa index was 0.82, which indicated good simulation accuracy of the CLUE-S model. (2) Under the three scenarios, the area of other agricultural land and water body showed an increasing trend; while the area of farmland, urban and rural construction land, subsided land with water accumulation, and tidal wetland showed a decreasing trend, and the area of urban and rural construction land and tidal wetland decreased the fastest. (3) Under the ecological protection scenario, the farmland decreased faster than the other two scenarios, and most of the farmland was converted to ecological land such as garden land and water body. Under the farmland protection scenario, the area of tidal wetland decreased the fastest, followed by urban and rural construction land. We anticipate that our study results will provide useful information for decision-makers and planners to take appropriate land management measures in the mining area.

show abstract

Drivers of land use/cover change and its impact on Pong Dam wetland

Cited by 14 publications

References 21 publications

Biological Diversity: Current Status and Conservation Policies

Biological Diversity: Current Status and Conservation Policies

Scenario simulation of land use and land cover change in mining area

Scenario Simulation and Landscape Pattern Dynamic Changes of Land Use in Mining Area

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