scholarly journals Mangrove Changes Analysis by Remote Sensing and Evaluation of Ecosystem Service Value in Sungai Merbok’s Mangrove Forest Reserve, Peninsular Malaysia

Author(s):  
Zailani Khuzaimah ◽  
Mohd Hasmadi Ismail ◽  
Shattri Mansor
Author(s):  
S.-D. Wang ◽  
H.-B. Zhang ◽  
X.-C. Wang

The ecosystem service value is an important concept and an index that reflects the quality of the regional ecological environment status and the measurement of the total ecological benefits. In this study, based on the characteristics of land use and the types of ecosystem in the studied area, the ecological indicators including the net primary productivity of the vegetation and the vegetation cover were selected. Landsat TM remote sensing image, ground-based observation, meteorological data and statistical data etc. were applied to establish the remote sensing-based assessment criteria and assessment model for quantitative estimation of the ecosystem service value. The established assessment criteria and model were applied to conduct the quantitative calculation on the value of the single ecosystem service and the ecosystem service value per unit area. The results indicated that during the decade of 2000–2010, with the inter-conversion of different types of land use, the total value of the ecological service in the studied area displayed a gradually decreasing trend. Among which, the values of ecological service of the cultivation land, wetland and the total ecological service were reduced by 11.92, 11.75 and 5.74%, respectively. While the values of ecological services of forest land, waters and intertidal zone were increased to certain extend. However, these increased values did not change the continuously decreasing trend of the total value of ecosystem service in the studied area. Based on these assessments, the spatially- and temporally-changing patterns of the values of ecosystem service in the studied area were analysed to reveal their intrinsic relationship between the land use and the changes in values of ecosystem service.


Author(s):  
T. Cheng ◽  
X. Zheng ◽  
H. Chen ◽  
J. Liu ◽  
X. Gao ◽  
...  

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.


2021 ◽  
Vol 13 (12) ◽  
pp. 6795
Author(s):  
Jianxin Geng ◽  
Chengzhi Liang

In this study, we applied gross ecosystem product (GEP) theory in a case study to analyze and explain the natural resource asset value and ecosystem service value of forest resources in Jiaokou County, Shanxi Province, Northern China, in 2018. GEP refers to the total value of various final material products and services provided by ecosystems. In this paper, six service functions of a forest system, including water conservation, soil conservation, carbon fixation and oxygen release, forest nutrients, purification of atmospheric environment, and biodiversity, are valued by three calculation methods: the alternative cost method, market value method, and control cost method. The study revealed the following: (1) There is a parallel relationship between the value of natural resource assets and the value of ecosystem services. GEP includes the market value of natural resource assets, but it is mostly the value of ecosystem services. (2) The measurement of the physical quantity of forest ecosystem services depends on parameter data, and the monetary calculation often has no mature pricing basis, which leads to the large scale and uncertainty surrounding the evaluation results of ecosystem services. (3) The ecosystem service value and natural resource asset value have different practical significance, as well as alternate theoretical bases. The value of natural resource assets can be used as the asset valuation basis of economic transactions, which plays a role in macroeconomic management. The value of ecosystem services can be used as the basis of ecological compensation, providing information for the preparation of the balance sheet of natural resources.


2021 ◽  
Vol 13 (15) ◽  
pp. 8537
Author(s):  
Yuanyuan Mao ◽  
Lingli Hou ◽  
Zhengdong Zhang

Since the beginning of the 21st century, urbanization has brought about dramatic changes in population, life, and economy, while having a significant impact on the distribution of ecosystem service. As research on the relationship between urbanization and ecosystem service has gradually specified, we decided to explore it at different scales. In this paper, we quantified and mapped the spatial–temporal evolution and relationship between urbanization and ecosystem service value in the Pearl River Delta Urban Agglomeration from 2000 to 2019 based on a dual-scale perspective of county and 3 km × 3 km raster. Our results show that the overall trend of urbanization level and ecosystem service value was increasing. Urbanization and ecosystem service value at the county scale showed a negative spatial correlation, while it was not significant at the raster scale. The “high–high” agglomeration was more concentrated, while the other three “low–low”, “low–high” and “high–low” agglomerations were more dispersed. Our findings suggest it is crucial to identify the key factors of small urban areas to grasp the development mechanism in the urbanization process and maintain the balance of the ecosystem.


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