Impact of land use land cover changes on ecosystem service value – A case study of Guangdong, Hong Kong, and Macao in South China

Hasan, Sarah; Shi, Wenzhong; Zhu, Xiaolin

doi:10.1371/journal.pone.0231259

Cited by 70 publications

(35 citation statements)

References 65 publications

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“…Others assert that integrated water resources planning and management is vital as one of the elements of natural resources management (Laekemariam et al 2016;Qayum et al 2016;Seyoum 2016;Teshome 2016;Miheretu and Yimer 2017;Meshesha and Khare 2019). Others attest that payments for ecological services are vital for the sustainable management of natural resources (Tolessa et al 2017;Bogale 2020;Hasan et al 2020).…”

Section: Local Effects Of Land Use and Land Cover Changes And Implicamentioning

confidence: 99%

Dynamics of land use and land cover changes in Huluka watershed of Oromia Regional State, Ethiopia

2021

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Background Land use and land cover changes in urbanized watersheds of developing countries like Ethiopia are underpinned by the complex interaction of different actors, driving forces, and the land itself. Land conversion due to residential development, economic growth, and transportation is identified as the most serious environmental pressure on urbanized landscapes of the world. It results in the degradation of natural vegetation and significant increases in impervious surfaces. The purpose of the study was to analyze spatio-teporal changes in land use and land cover in the Huluka watershed with implications to sustainable development in the watershed. Results Forest land, cultivated land, urban built-up, bush/shrub land, bare land, grassland, and water body were identified as the seven types of land use and land cover in the Huluka watershed. Forest land decreased by 59.3% at an average rate of 164.52 ha/year between 1979 and 2017. Bush/ shrub land decreased by 68.2% at an average rate of 318.71 ha/year between 1979 and 2017. Grassland decreased by 32.7% at an average rate of 228.65 ha/year between 1979 and 2017. Water body decreased by 5.1% at an average rate of 1.06 ha/year between 1979 and 2017. Urban built-up area increased by 351% at an average rate of 16.20 ha/year between 1979 and 2017. Cultivated land increased by 105.3% at an average rate of 692.76 ha/year between 1979 and 2017. Bare land increased by 41.9% at an average rate of 4.00 ha/year between 1979 and 2017. Infrastructural and agricultural expansion, increased demand for wood, local environmental and biophysical drivers, rapid human population growth, economic drivers, technological drivers, policy and institutional drivers, and local socio-cultural drivers were perceived by residents as drivers of land use and land cover changes. Increased flooding risk, increased soil erosion, increased sedimentation into water resources like lakes and rivers, decrease in soil fertility, loss of biodiversity, loss of springs, decrease in annual rainfall, and increase in heat during the dry season were perceived by residents as negative local effects of land use and land cover changes. Conclusions Changes in land use and land cover in the study water shade imply the need for integrating sustainable watershed planning and management into natural resources management strategies. In other words, practices of appropriate land use planning and management, family planning, participatory planning and management, appropriate environmental impact assessment (EIA), and proper planning and management of development projects and programmes are of paramount importance to promote sustainable development in the Huluka watershed and beyond.

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Section: Local Effects Of Land Use and Land Cover Changes And Implicamentioning

confidence: 99%

Dynamics of land use and land cover changes in Huluka watershed of Oromia Regional State, Ethiopia

2021

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“…The assessment of ecosystem service values (ESV) is primarily based on the economic estimation for different types of ecosystems under a benefit transfer approach [60]. In this research, we propose an equivalent metric for estimating the value of ecosystem services [61], which also could be used in the whole of China. The calculation formula of the ESV coefficient [61] is as follows:…”

Section: Assessment Of Ecosystem Services Valuesmentioning

confidence: 99%

“…In this research, we propose an equivalent metric for estimating the value of ecosystem services [61], which also could be used in the whole of China. The calculation formula of the ESV coefficient [61] is as follows:…”

Section: Assessment Of Ecosystem Services Valuesmentioning

confidence: 99%

“…For each land cover type, the services delivered by the ecosystem are identified and given a monetary value based on Long County socioeconomic situations as well as supply and demand. The assessed per square hectometer value of every ecosystem is then multiplied by the area of each biome to estimate the sum of the total monetary value of the Long County ecosystem [61].…”

Section: Assessment Of Ecosystem Services Valuesmentioning

confidence: 99%

“…The dependence of ESV and VC on time change can be determined by CS, which means that 1% change in VC cause 1% variation in ESV [62]. If CS > 1, it indicates that the ESV is changeable to VC [61,64]. ; CS < 1 specifies that the ESV is unchangeable to VC, thus VC is introduced appropriately, and the results are reliable [64].…”

Section: Sensitivity Analysismentioning

confidence: 99%

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Using Satellite Image Fusion to Evaluate the Impact of Land Use Changes on Ecosystem Services and Their Economic Values

Wang¹,

Padmanaban

Mbanze

et al. 2021

Remote Sensing

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Accelerated land use change is a current challenge for environmental management worldwide. Given the urgent need to incorporate economic and ecological goals in landscape planning, cost-effective conservation strategies are required. In this study, we validated the benefit of fusing imagery from multiple sensors to assess the impact of landscape changes on ecosystem services (ES) and their economic values in the Long County, Shaanxi Province, China. We applied several landscape metrics to assess the local spatial configuration over 15 years (2004–2019) from fused imageries. Using Landsat-7 Enhanced Thematic Mapper Plus (ETM+), Landsat-8 Operational Land Imager (OLI) and Indian Remote Sensing Satellite System Linear Imaging Self Scanning Sensor 3 (IRS LISS 3) imageries fused for 2004, 2009, 2014 and 2019, we reclassified land use/land cover (LULC) changes, through the rotation forest (RF) machine-learning algorithm. We proposed an equivalent monetary metric for estimating the ES values, which also could be used in the whole China. Results showed that agriculture farmland and unused land decreased their spatial distribution over time, with an observed increase on woodland, grassland, water bodies and built-up area. Our findings suggested that the patterns of landscape uniformity and connectivity improved, while the distribution of landscape types stabilized, while the landscape diversity had a slight improvement. The overall ES values increased (4.34%) under a benefit transfer approach, mainly concerning woodland and grassland. A sensitivity analysis showed the selected economic value (EV) was relevant and suitable for the study area associated with our ES for LULC changes. We suggested that changes in landscape patterns affected the ESV trends, while the increases on some LULC classes slightly improved the landscape diversity. Using an interdisciplinary approach, we recommend that local authorities and environmental practitioners should balance the economic benefits and ecological gains in different landscapes to achieve a sustainable development from local to regional scales.

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Land Use Change and Ecosystem Service Variations in Huai Luang River Basin, Udon Thani Province, Thailand

Monprapussorn

2022

Springer Geography

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Impact of land use land cover changes on ecosystem service value – A case study of Guangdong, Hong Kong, and Macao in South China

Cited by 70 publications

References 65 publications

Dynamics of land use and land cover changes in Huluka watershed of Oromia Regional State, Ethiopia

Dynamics of land use and land cover changes in Huluka watershed of Oromia Regional State, Ethiopia

Using Satellite Image Fusion to Evaluate the Impact of Land Use Changes on Ecosystem Services and Their Economic Values

Land Use Change and Ecosystem Service Variations in Huai Luang River Basin, Udon Thani Province, Thailand

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