The spatial association of ecosystem services with land use and land cover change at the county level in China, 1995–2015

2019 ◽  
Vol 669 ◽  
pp. 459-470 ◽  
Author(s):  
Wanxu Chen ◽  
Guangqing Chi ◽  
Jiangfeng Li
Keyword(s):  
Land Use ◽  
Ecosystem Services ◽  
Land Cover ◽  
Land Cover Change ◽  
Spatial Association ◽  
County Level

Ecosystem services in different agro-climatic zones in eastern India: impact of land use and land cover change

2019 ◽  
Vol 191 (2) ◽  
Author(s):  
Rahul Tripathi ◽  
K. C. Moharana ◽  
A. D. Nayak ◽  
B. Dhal ◽  
Md Shahid ◽  
...  
Keyword(s):  
Land Use ◽  
Ecosystem Services ◽  
Land Cover ◽  
Land Cover Change ◽  
Eastern India ◽  
Climatic Zones

scholarly journals Impact of Land-Use/Land-Cover Change on Drinking Water Ecosystem Services in Wami River Basin, Tanzania

Resources ◽  
2020 ◽  
Vol 9 (4) ◽  
pp. 37 ◽  
Author(s):  
Sekela Twisa ◽  
Mohamed Mwabumba ◽  
Mathew Kurian ◽  
Manfred F. Buchroithner
Keyword(s):  
Land Use ◽  
Ecosystem Services ◽  
Land Cover ◽  
Land Cover Change ◽  
Land Use Land Cover ◽  
Quality Of Water ◽  
Water Point ◽  
Water Ecosystem ◽  
Domestic Use

Land-use/land-cover changes are considered the dominant form of anthropogenic pressure on the environment, causing changes in ecosystem service patterns and affecting water supply services. Using the spatial econometric technique, we analysed the impact of land-use/land-cover change on water ecosystem services for domestic use upstream and downstream of the Wami River Basin. The results in terms of land-use/land-cover classes during the study period (2011–2016) indicate that cultivated land showed maximum positive changes in both sub-catchments, while bushland and woodland showed maximum negative changes upstream and downstream. The results showed that bushland, woodland, cultivated land, and grassland were significantly correlated with water point characteristics in both sub-catchments. For functionality characteristics, a significant effect was observed in bushland and grassland upstream and downstream, respectively, while sufficient water was found in woodland upstream and grassland downstream. Moreover, bushland was observed to have a significant number of water points with poor quality of water upstream, and a substantial number of water points with good quality of water were found in grassland downstream. We found that all measured land-use/land-cover changes and water point characteristic correlations were statistically significant; therefore, we concluded that land-use/land-cover change affects the water ecosystem in the basin. These results could facilitate decision-making and development of related policies and might support finding sustainable strategies for water ecosystem services for domestic use.

scholarly journals Over 150 Years of Change: Object-Oriented Analysis of Historical Land Cover in the Main River Catchment, Bavaria/Germany

2020 ◽  
Vol 12 (24) ◽  
pp. 4048
Author(s):  
Yrneh Ulloa-Torrealba ◽  
Reinhold Stahlmann ◽  
Martin Wegmann ◽  
Thomas Koellner
Keyword(s):  
Land Use ◽  
Ecosystem Services ◽  
Land Use Change ◽  
Land Cover ◽  
Land Cover Change ◽  
Historical Maps ◽  
River Catchment ◽  
Main River ◽  
Object Based

The monitoring of land cover and land use change is critical for assessing the provision of ecosystem services. One of the sources for long-term land cover change quantification is through the classification of historical and/or current maps. Little research has been done on historical maps using Object-Based Image Analysis (OBIA). This study applied an object-based classification using eCognition tool for analyzing the land cover based on historical maps in the Main river catchment, Upper Franconia, Germany. This allowed land use change analysis between the 1850s and 2015, a time span which covers the phase of industrialization of landscapes in central Europe. The results show a strong increase in urban area by 2600%, a severe loss of cropland (−24%), a moderate reduction in meadows (−4%), and a small gain in forests (+4%). The method proved useful for the application on historical maps due to the ability of the software to create semantic objects. The confusion matrix shows an overall accuracy of 82% for the automatic classification compared to manual reclassification considering all 17 sample tiles. The minimum overall accuracy was 65% for historical maps of poor quality and the maximum was 91% for very high-quality ones. Although accuracy is between high and moderate, coarse land cover patterns in the past and trends in land cover change can be analyzed. We conclude that such long-term analysis of land cover is a prerequisite for quantifying long-term changes in ecosystem services.

scholarly journals Quantifying the Spatial Association between Land Use Change and Ecosystem Services Value: A Case Study in Xi’an, China

2020 ◽  
Vol 12 (11) ◽  
pp. 4449
Author(s):  
Yajing Shao ◽  
Xuefeng Yuan ◽  
Chaoqun Ma ◽  
Ruifang Ma ◽  
Zhaoxia Ren
Keyword(s):  
Land Use ◽  
Ecosystem Services ◽  
Land Cover ◽  
Spatial Heterogeneity ◽  
Spatial Association ◽  
Lulc Change ◽  
Ecosystem Services Value ◽  
The Impact ◽  
Gwr Model ◽  
The Relationship

The impact of land use and land cover (LULC) change on ecosystem services value (ESV) varies in different spatial locations. Although many studies have focused on quantifying the effect of LULC change on ESV, few have considered the spatial heterogeneity of the relationship between LULC change and ESV. Therefore, this study examines the relationship between ESV and LULC change from a spatial perspective in Xi’an City. We divide the study area into 10,522 grid cells, based on land cover data from 2000 to 2018, and we identify the spatial-temporal dynamics of LULC change. Next, we employ the Benefits Transfer Method (BTM) to evaluate the ESV, and the ESV is corrected by the normalized difference vegetation index (NDVI). A geographically weighted regression (GWR) model and ordinary least squares (OLS) regression model are used to assess the spatial association of LULC change and ESV. The results show that the total ESV loss is 6.57 billion yuan (Chinese yuan), and the loss rate is 12.18%. The distribution of ESV shows an obvious spatial heterogeneity, and the low-value area of ESV expands eastward from the main urban area. More than 50% of total ESV is provided by woodland. From 2000 to 2018, the land use pattern in Xi’an underwent a significant change with the developed land increasing by 64.09%, whereas farmland decreased by 12.49%. Based on the GWR model, the relationship between LULC change and ESV in Xi’an showed a significant negative association and spatial heterogeneity. Our study results provide a new way to effectively identify the relationship between LULC change and ESV, and in turn, to fully understand the ecological trends at the regional scale, laying a foundation for regional sustainable development.

Impact of Land Use and Land Cover Change on Ecosystem Services in Eastern Coast of India

2021 ◽  
Vol 16 (1) ◽  
Author(s):  
Rahul Tripathi ◽  
Khitish Chandra Moharana ◽  
Sangita Mohanty ◽  
Suchismita Pattnaik ◽  
Dibyendu Chatterjee ◽  
...  
Keyword(s):  
Land Use ◽  
Ecosystem Services ◽  
Land Cover ◽  
Land Cover Change ◽  
Eastern Coast

Assessment of ecosystem services values in response to land use/land cover change in tropical forest

2021 ◽  
pp. 435-447
Author(s):  
Soumen Bisui ◽  
Sambhunath Roy ◽  
Debashish Sengupta ◽  
Gouri Sankar Bhunia ◽  
Pravat Kumar Shit
Keyword(s):  
Land Use ◽  
Ecosystem Services ◽  
Land Cover ◽  
Tropical Forest ◽  
Land Cover Change ◽  
Land Use Land Cover

Land use/land cover change and ecosystem services in the Bagmati River Basin, Nepal

2021 ◽  
Vol 193 (10) ◽  
Author(s):  
Sushila Rijal ◽  
Bhagawat Rimal ◽  
Ram Prasad Acharya ◽  
Nigel E. Stork
Keyword(s):  
Land Use ◽  
Ecosystem Services ◽  
Land Cover ◽  
Land Cover Change ◽  
River Basin ◽  
Land Use Land Cover ◽  
Bagmati River
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