Assessment of historical and future land‐use–land‐cover changes and their impact on valuation of ecosystem services in Kathmandu Valley, Nepal

2020 ◽  
Author(s):  
Manish Shrestha ◽  
Suwash Chandra Acharya
Keyword(s):  
Land Use ◽  
Ecosystem Services ◽  
Land Cover ◽  
Kathmandu Valley ◽  
Land Cover Changes ◽  
Land Use Land Cover ◽  
Valuation Of Ecosystem Services

The impacts of land use/land cover changes on the supply-demand budget of urban ecosystem services

2021 ◽  
Vol 14 (14) ◽  
Author(s):  
Syed Atif Bokhari ◽  
Zafeer Saqib ◽  
Amjad Ali ◽  
Arif Mahmud ◽  
Nadia Akhtar ◽  
...  
Keyword(s):  
Land Use ◽  
Ecosystem Services ◽  
Land Cover ◽  
Urban Ecosystem ◽  
Land Cover Changes ◽  
Land Use Land Cover ◽  
Urban Ecosystem Services

scholarly journals Quantifying Land Use Land Cover Changes in the Lake Victoria Basin Using Satellite Remote Sensing: The Trends and Drivers between 1985 and 2014

2020 ◽  
Vol 12 (17) ◽  
pp. 2829 ◽  
Author(s):  
Robinson Mugo ◽  
Rose Waswa ◽  
James W. Nyaga ◽  
Antony Ndubi ◽  
Emily C. Adams ◽  
...  
Keyword(s):  
Land Use ◽  
Ecosystem Services ◽  
Land Cover ◽  
Urban Areas ◽  
Lake Victoria ◽  
Small Scale ◽  
Land Cover Changes ◽  
Land Use Land Cover ◽  
Lake Victoria Basin ◽  
Basin Scale

The Lake Victoria Basin (LVB) is a significant resource for five states within East Africa, which faces major land use land cover changes that threaten ecosystem integrity and ecosystem services derived from the basin’s resources. To assess land use land cover changes between 1985 and 2014, and subsequently determine the trends and drivers of these changes, we used a series of Landsat images and field data obtained from the LVB. Landsat image pre-processing and band combinations were done in ENVI 5.1. A supervised classification was applied on 118 Landsat scenes using the maximum likelihood classifier in ENVI 5.1. The overall accuracy of classified images was computed for the 2014 images using 124 reference data points collected through stratified random sampling. Computations of area under various land cover classes were calculated between the 1985 and 2014 images. We also correlated the area from natural vegetation classes to farmlands and settlements (urban areas) to explore relationships between land use land cover conversions among these classes. Based on our land cover classifications, we obtained overall accuracy of 71% and a moderate Kappa statistic of 0.56. Our results indicate that the LVB has undergone drastic changes in land use land cover, mainly driven by human activities that led to the conversion of forests, woodlands, grasslands, and wetlands to either farmlands or settlements. We conclude that information from this work is useful not only for basin-scale assessments and monitoring of land cover changes but also for targeting, prioritizing, and monitoring of small scale, community led efforts to restore degraded and fragmented areas in the basin. Such efforts could mitigate the loss of ecosystem services previously derived from large contiguous land covers which are no longer tenable to restore. We recommend adoption of a basin scale, operational, Earth observation-based, land use change monitoring framework. Such a framework can facilitate rapid and frequent assessments of gains and losses in specific land cover classes and thus focus strategic interventions in areas experiencing major losses, through mitigation and compensatory approaches.

scholarly journals Assessing Impacts of Land Use/Land Cover Conversion on Changes in Ecosystem Services Value on the Loess Plateau, China

2020 ◽  
Vol 12 (17) ◽  
pp. 7128
Author(s):  
Wei Jiang ◽  
Bojie Fu ◽  
Yihe Lü
Keyword(s):  
Land Use ◽  
Ecosystem Services ◽  
Land Cover ◽  
Loess Plateau ◽  
Ecosystem Service ◽  
Land Cover Changes ◽  
Land Use Land Cover ◽  
The Loess Plateau ◽  
Average Value ◽  
Value Changes

The Loess Plateau is not only a critical region that suffers from ecological threats but also a valuable region that provides various fundamental ecosystem services, including provisioning, regulating and cultural services to about 8% of the Chinese population. The specific natural environment and extensive human activities have led to substantial land use/land cover changes between 1990 and 2015, such as the decrease in cropland with the increase in forests and grasslands due to the implementation of the Grain for Green Program since 2000 and the expansion of built-up areas with economic development and population growth. However, the effects of these changes on ecosystem service values have not yet been considered. In this study, the approach based on a combination of land use/land cover proxies and benefit transfer is applied to assess ecosystem service value changes resulting from land use/land cover changes in the 1990–2000, 2000–2010 and 2010–2015 periods. The results reveal that the total value of ecosystem services has been reduced by $6.787 million from 1990 to 2000 and increased by $4.6 million from 2000 to 2015. The elasticity analysis shows that a 1% area conversion has induced average value changes of 1.03%, 0.38% and 0.05% in the three periods, respectively. Elasticity is developed as an indicator for locating unusual changes among different regions and identifying specific needs for ecosystem management.

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