scholarly journals Analysis of Ecosystem Service Value Change Using a Land Cover Map

2016 ◽  
Vol 27 (spc) ◽  
pp. 681-688 ◽  
Author(s):  
Meejeong Park ◽  
Jeong Bae Jeon ◽  
Jin Ah Choi ◽  
Eun Ja Kim ◽  
Chang Su Im
Keyword(s):  
Land Cover ◽  
Ecosystem Service ◽  
Value Change ◽  
Ecosystem Service Value ◽  
Service Value ◽  
Land Cover Map

scholarly journals Variations in ecosystem service value in response to land use/land cover changes in Central Asia over 1995-2035

2019 ◽  
Author(s):  
Jiangyue Li ◽  
Hongxing Chen ◽  
Chi Zhang ◽  
Tao Pan
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Central Asia ◽  
Ecosystem Service ◽  
Water Bodies ◽  
Land Cover Changes ◽  
Land Use Land Cover ◽  
Ecosystem Service Value ◽  
Rapid Urbanization ◽  
Service Value

Acute farmland expansion and rapid urbanization in Central Asia have accelerated land use/land cover changes, which has significant effect onecosystemservice. However, the spatio-temporal changes in ecosystem service values in Central Asia are not well understood. Here, based on land use products with 300-m resolution for the years of 1995, 2005 and 2015 and transfer methodology, we predicted LUCC for 2025 and 2035 using CA-Markov, assessed changes in ecosystem service value in response to LUCC dynamics, and explored the elasticity for the response of ESV to LULC changes. We found significant expansions of cropland and urban and shrinking of water bodies and bare land during 1995-2035. Overall ESVs had an increasing trend from 1995-2035, which was mainly due to the increasing cropland and construction land. The combined valueofecosystemservices of cropland, grassland, water bodies accounted for over 90% of the total ESVs. However, LULC analysis showed that the area of water body reduced by 21.80% from 1995 to 2015 and continued to decrease by 21.14% from 2015 to 2035, indicating that approximately 63.37 billion US$ of ESVs lost in Central Asia. Biodiversity, food production and water regulation were major service functions, accounting for 80.52% of the total ESVs . Our results demonstrated that theeffective land-usepolicies should be made to control farmland expansion and protect water bodies, grassland and forestland for better sustainable ecosystem services.

scholarly journals Simulation of agro-ecosystem service value in oasis area of lower reaches of Tarim River

2021 ◽  
Author(s):  
hongwei li ◽  
yaning Chen
Keyword(s):  
Land Cover ◽  
Ecosystem Service ◽  
Tarim River ◽  
Ecosystem Service Value ◽  
Simulation Accuracy ◽  
Barren Land ◽  
Benchmark Scenario ◽  
Service Value ◽  
Inland River ◽  
Oasis Area

Based on the relationship between the service value of each component of agro-ecosystem and its corresponding land cover, the service value of agro-ecosystem in oasis area of lower reaches of Tarim River was analyzed. Using the land cover data of 2000, 2010 and 2020, and setting two scenarios in the FLUS model to simulate the land cover change of the study area in 2030. According to the forecast results of land cover, the the value of agro-ecological service was calculated and the sensitivity was analyzed. Results showed the following: (1) The Kappa coefficients and overall accuracy of 2010 land cover models simulated by FLUS are 0.8429 and 92.55% , indicating that the model has appropriate simulation accuracy. (2) The proportion of farmland, grassland, water body and artificial surface increased from 4.28%, 22.26%, 2.18% and 1.16% in 2000 to 6.63%, 25.86%, 10.96% and 0.48% in 2030 benchmark scenario, respectively. On the contrary, the shrub land and barren land decreased from 1.07% and 70.75% in 2000 to 0.7% and 55.44% in 2030 benchmark scenario, respectively.(3) The agro-ecosystem service value of benchmark scenario and ecological protection scenario are CN¥6.781×109 and CN¥6.937×109 in 2030, respectively. The practice has proved that the ecological water conveyance project is very necessary to improve the agricultural ecological environment in oasis area of lower reaches of Tarim River. This study can provide reference for the research on the agro-ecosystem service value of oases in inland river basins of China and Central Asia.

scholarly journals Optimizing Land Use and Land Cover Allocation for Flood Mitigation Using Land Use Change and Hydrological Models with Goal Programming, Chaiyaphum, Thailand

Land ◽  
2021 ◽  
Vol 10 (12) ◽  
pp. 1317
Author(s):  
Athiwat Phinyoyang ◽  
Suwit Ongsomwang
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Land Cover ◽  
Goal Programming ◽  
Ecosystem Service ◽  
Surface Runoff ◽  
Flood Mitigation ◽  
Hydrological Models ◽  
Ecosystem Service Value ◽  
Service Value

Floods represent one of the most severe natural disasters threatening the development of human society worldwide, including in Thailand. In recent decades, Chaiyaphum province has experienced a problem with flooding almost every year. In particular, the flood in 2010 caused property damage of 495 million Baht, more than 322,000 persons were affected, and approximately 1046.4 km2 of productive agricultural area was affected. Therefore, this study examined how to optimize land use and land cover allocation for flood mitigation using land use change and hydrological models with optimization methods. This research aimed to allocate land use and land cover (LULC) to minimize the surface for flood mitigation in Mueang Chaiyaphum district, Chaiyaphum province, Thailand. The research methodology consisted of six stages: data collection and preparation, LULC classification, LULC prediction, surface runoff estimation, the optimization of LULC allocation for flood mitigation and mapping, and economic and ecosystem service value evaluation and change. According to the results of the optimization and mapping of suitable LULC allocation to minimize surface runoff for flood mitigation in dry, normal, and wet years using goal programming and the CLUE-S model, the suitable LULC allocation for flood mitigation in 2049 under a normal year could provide the highest future economic value and gain. In the meantime, the suitable LULC allocation for flood mitigation in 2049 under a drought year could provide the highest ecosystem service value and gain. Nevertheless, considering future economic and ecosystem service values and changes with surface runoff reduction, the most suitable LULC allocation for flood mitigation is a normal year. Consequently, it can be concluded that the derived results of this study can be used as primary information for flood mitigation project implementation. Additionally, the presented conceptual framework and research workflows can be used as a guideline for government agencies to examine other flood-prone areas for flood mitigation in Thailand.

scholarly journals Variations in ecosystem service value in response to land use/land cover changes in Central Asia over 1995-2035

2019 ◽  
Author(s):  
Jiangyue Li ◽  
Hongxing Chen ◽  
Chi Zhang ◽  
Tao Pan
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Central Asia ◽  
Ecosystem Service ◽  
Water Bodies ◽  
Land Cover Changes ◽  
Land Use Land Cover ◽  
Ecosystem Service Value ◽  
Rapid Urbanization ◽  
Service Value

Acute farmland expansion and rapid urbanization in Central Asia have accelerated land use/land cover changes, which has significant effect onecosystemservice. However, the spatio-temporal changes in ecosystem service values in Central Asia are not well understood. Here, based on land use products with 300-m resolution for the years of 1995, 2005 and 2015 and transfer methodology, we predicted LUCC for 2025 and 2035 using CA-Markov, assessed changes in ecosystem service value in response to LUCC dynamics, and explored the elasticity for the response of ESV to LULC changes. We found significant expansions of cropland and urban and shrinking of water bodies and bare land during 1995-2035. Overall ESVs had an increasing trend from 1995-2035, which was mainly due to the increasing cropland and construction land. The combined valueofecosystemservices of cropland, grassland, water bodies accounted for over 90% of the total ESVs. However, LULC analysis showed that the area of water body reduced by 21.80% from 1995 to 2015 and continued to decrease by 21.14% from 2015 to 2035, indicating that approximately 63.37 billion US$ of ESVs lost in Central Asia. Biodiversity, food production and water regulation were major service functions, accounting for 80.52% of the total ESVs . Our results demonstrated that theeffective land-usepolicies should be made to control farmland expansion and protect water bodies, grassland and forestland for better sustainable ecosystem services.

scholarly journals A CALCULATION METHOD OF ECOSYSTEM SERVICE VALUE BASED ON PRODUCT OF NATIONAL GEOGRAPHIC CONDITIONS MONITORING IN CHINA

2021 ◽  
Vol V-3-2021 ◽  
pp. 43-50
Author(s):  
T. Cheng ◽  
X. Zheng ◽  
H. Chen ◽  
J. Liu ◽  
X. Gao ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Big Data ◽  
High Resolution ◽  
Land Cover ◽  
Ecosystem Service ◽  
Assessment Model ◽  
Ecosystem Service Value ◽  
National Geographic ◽  
Service Value ◽  
Calculating Method

Abstract. By 2015, Chinese government had completed the project of China's First National Geographic Conditions Census. In this project, high resolution land cover product all over the country had been generated, and would be updated continuously every year. On the basis of this excellent data source, a big data calculating method of land’s ecosystem service value was proposed, in which many other remote sensing information were used too, such as EVI (Enhanced Vegetation Index), NPP (Net Primary Productivity), vegetation growing season data derived from MODIS product. It analyzed the characters of data type, data time phase, and data structure for all the remote sensing information, also the big data’s engendering background and process. A revised ecosystem service value assessment model was used for calculating. Combining the classification system of terrestrial ecosystem in China and the equivalent value factor per unit ecosystem area, the big data calculating algorithm was designed. Shiyan city, Hubei province, China was selected as the study area for validating the calculating method. The results showed that the total ecosystem service value in Shiyan city in 2015 was 1.97 × 1011 CNY, and the per capita ecosystem service value was 5.69 × 104 CNY. Specially, forest supplied the most ecosystem service value which accounted for 78.54 %, followed by water, grassland, farmland, and desert. The research shows that on the basis of multi-source of remote sensing information mainly the high resolution land cover product obtained in the project of China's First National Geographic Conditions Census, high-precision quantification and spatialization ecosystem service value can be calculated and obtained; multi scale spatial display of the calculating results could be achieved to meet different spatial scaling demands; the big data calculating algorithm has solved the problems of design and computation of structured and unstructured big data computing models; the independent research and development software has solved the problem of software requirements, and the operational efficiency and performance can meet the calculating needs.

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