Ecosystem services change in response to land use land cover dynamics in Paschim Bardhaman District of West Bengal, India

Chatterjee, Soumen; Dutta, Shyamal; Dutta, Ipsita

doi:10.1016/j.rsase.2022.100793

Cited by 13 publications

(3 citation statements)

References 52 publications

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“…The drastic decrease in total ESVs can be attributed to an expansion of settlements and cultivated land at the expense of natural ecosystems with high value per hectare (e.g., forestland, water bodies, and grassland). Similar losses in total ESV have been reported in various areas of Ethiopia [e.g., 29, 31-33, 65, 72] and even in some other countries like Kenya [58], China [73], Central Asia [74], Nigeria [76], and India [77], who have reported the loss of water bodies and forestland as the most LULC types contributing to the reduction in total ESV. Despite ESVs that showed a significant decline over the entire stipulated period, the proportion of ESV loss attributable to forest loss has gradually decreased over the past two decades (Fig 7 and Table 7).…”

Section: Impact Of Lulc Dynamics On Ecosystem Services and Functionssupporting

confidence: 77%

Land use and land cover changes and their impact on ecosystem service values in the north-eastern highlands of Ethiopia

Muche,

Yemata,

Molla

et al. 2023

PLoS ONE

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The land use and land cover (LULC) changes driven by the growing demands of mankind have a considerable effect on ecosystem services and functions. The study was carried out in the north-eastern highlands of Ethiopia to (1) analyze the effect of LULC changes between 1984 and 2021 and (2) assess the spatiotemporal variations in ecosystem service values (ESVs) and elasticity in response to LULC changes. Using Landsat imageries from 1984 to 2021, the spatiotemporal changes in LULC were evaluated with supervised image classification using maximum likelihood algorithm in ArcGIS software. Six LULC types were subsequently categorized, with overall accuracy and Kappa coefficients above 87% and 0.87, respectively. The ESVs were then estimated based on the Benefit Value Transfer (BVT) approach employing modified conservative value coefficients. The findings revealed a significant increase in cultivated land (9759.1ha) and built-up area (10174.41ha) during the stipulated periods and a drop in other land use types. The forest loss gradually decreased from 4.1% in the second period (1991–2001) to 0.58% in the third (2001–2021), compared to the first of the 1.1% conversion rates. Similarly, the proportion of grassland and water bodies steadily reduced over the stipulated periods, by 1.15% and 2.3% per annum, respectively. The overall loss of ESVs in the study landscape was estimated to be 54.4 million US$ (67.3%), drastically decreasing from 80.3 million US$ in 1984 to 26.4 million US$ in 2021, driven by the declining area coverage of water bodies, grassland, and forestland. Regardless of the loss, the ecosystem functions of hydrological regulation (37.2, 35.0, 6.1, and 5.1 US$ ha-1yr-1), water supply (14.5, 13.6, 2.4, and 2 US$ ha-1yr-1), and food production (9.8, 10.0, 9.1, and 9.9 US$ ha-1yr-1) contributed the most to the total ESV of each year while disturbance regulation and cultural values were the least throughout the study periods. The coefficient of sensitivity (CS) analysis revealed that our estimates were relatively robust. The findings further showed that human-dominated land-uses at the expense of natural ecosystems are the primary drivers of LULC transitions and the ensuing loss of ecosystem services in the region. Thus, this calls for intensive work on more effective land use policies that encourage an integrated management approach, with a focus on safeguarding the sustainability of natural ecosystems.

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Section: Impact Of Lulc Dynamics On Ecosystem Services and Functionssupporting

confidence: 77%

Land use and land cover changes and their impact on ecosystem service values in the north-eastern highlands of Ethiopia

Muche,

Yemata,

Molla

et al. 2023

PLoS ONE

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“…Land use changes are one of the world-wide issues which have the most significant effects on the natural environment and ecosystem processes (Bryan et al, 2018;Hasan et al, 2020;Chu et al, 2022). The spatial-temporal change of land use provides basic data for other studies (Tang et al, 2020;Chen et al, 2021;Zhang et al, 2021;Chatterjee et al, 2022). In order to optimize and coordinate the leading functions of land use, the concept of ecological-production-living spaces is put forward, which is an effective integration and supplement for detailed land use classification (Yang et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Priority area identification of ecological restoration based on land use trajectory approach—Case study in a typical karst watershed

Liu

Dong

Wang

et al. 2022

Front. Environ. Sci.

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In the planning and restoration of land ecological space, the ecological restoration priority area has attracted more and more attention, especially in the regions with great vulnerability. As a typical area of karst ecological region in Southwest China, Wujiang River Basin experienced human disturbance and land uses which had great impacts on the ecological environment. Based on the land use evolution from 1985 to 2019, the change of ecological-production-living land in Wujiang River Basin was analyzed by transfer matrix, intensity analysis and long-time series trajectory approaches. The results showed that from 1985 to 2019, the ecological land in Wujiang River Basin significantly decreased, the production land increased first then decreased, and living land increased significantly. The reduced ecological land was mainly transformed to cropland. After 1990, the change intensity of land use in Wujiang River Basin gradually increased. At the category level, the intensity of forest land change was the most stable, and while that of barren land, shrub land and grassland were active. At the transition level, the increased impervious land was mainly from cropland, and the reduced forest land was mainly transformed into cropland. Trajectory analysis from 1985 to 2019 showed that the stable land use type of Wujiang River accounted for 67.36% of the total area of the basin and forest land was the main stable land use type. Our research spatially identified the land use change from different aspects which could be a new approach for ecological restoration. Also, our study can provide decision-making basis for the sustainable use of land resources in the study area.

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“…al., 2022). Similarly, in other Indian cities, unplanned expansion of built-up area surface has led to an urban heat island in Delhi(Shahfahad et al, 2022), negative impacts on biodiversity(Miranda et al, 2017), air quality(Wang et al, 2020), groundwater depletion(Siddik et al, 2022), and an imbalance of ecosystem services(Chatterjee et al, 2022).…”

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confidence: 99%

Un-planned Urban Growth Monitoring from 1991 to 2021 of Aizawl City, North-east India by Multi- Temporal Changes and CA-ANN Model

Lawmchullova,

Lalrinawma,

Rinkimi

et al. 2024

Preprint

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Monitoring urban landuse and landcover (LULC) change is a crucial element in developing cities like Aizawl to improve land use planning for future smart cities. The objective of the current study is to analyze the lulc changes of Aizawl city between 1991 and 2021 using multi-date Landsat images and a cellular automata-artificial neural network (CA-ANN) model to predict future scenarios. The present study is highly essential for examining the urban expansion in a vertical hill city and the historical influence of settlement patterns along the edges of hill ranges for proper land use planning. The automatic classification of support vector machines (SVM) in-built at Orfeo tool box (OTB) modules was employed for LULC pattern classification. The land cover change method of the semi-automatic classification plugin (SCP) was used to identify the past LULC using Landsat 4, 5, 7, and 8. The future LULC was stimulated using the machine-learning approaches modules for land use change evaluation (Molusce) plugin in QGIS 2.18. Also, we highlight the factors that influence future LULC changes and the impacts of unplanned hill cities from the results of multi-criteria evaluation (MCE) and analytical hierarchical process (AHP). The study reveals that built-up areas are continuously increasing while open forest, agricultural land, and fallow land are diminishing, even in the projected land use land cover thematic layer in 2031. The built-up area has seen the highest change, from 5.98–25.8% in 1991 to 2021; the rate of increase has been 0.636 km2/yr-1 during the last 30 years. Similarly, dense forest cover also increased from 12.14–18.72% from 1991 to 2021, while other landuse landcover patterns like open forest, fallow land, and agricultural land are declining due to urban expansion. The accuracy level of Kappa coefficients was 97.30% in 1991 and 100% in the years 2001, 2011, and 2021, respectively. This study can help town planners and decision-makers with the protection of greenery and proper town planning.

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Ecosystem services change in response to land use land cover dynamics in Paschim Bardhaman District of West Bengal, India

Cited by 13 publications

References 52 publications

Land use and land cover changes and their impact on ecosystem service values in the north-eastern highlands of Ethiopia

Land use and land cover changes and their impact on ecosystem service values in the north-eastern highlands of Ethiopia

Priority area identification of ecological restoration based on land use trajectory approach—Case study in a typical karst watershed

Un-planned Urban Growth Monitoring from 1991 to 2021 of Aizawl City, North-east India by Multi- Temporal Changes and CA-ANN Model

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