Urban land-use planning under multi-uncertainty and multiobjective considering ecosystem service value and economic benefit - A case study of Guangzhou, China

2021 ◽  
Vol 45 ◽  
pp. 100886
Author(s):  
P.P. Gao ◽  
Y.P. Li ◽  
J.W. Gong ◽  
G.H. Huang
2020 ◽  
pp. 56-72
Author(s):  
Nararuk Boonyanam ◽  
Somskaow Bejranonda

The rapid increase in economic development and urbanisation along the Eastern Economic Corridor (EEC) of Thailand has accelerated the change in its ecosystem service value (ESV), leading to the demand for related analysis to ensure sustainable growth in the area. The aim of this study is to: (1) evaluate the land use change in Chonburi Province; the most urbanised city in the EEC of Thailand between 2006 and 2016, and (2) assess the land use change impact on ESV. Secondary data from land use maps for 2006 and 2016 was used to evaluate land use change and its impact on ESV using the land use transition matrix, land use dynamic degree, and the benefit transfer method. Urban and built-up land use were found to dominate other use types. The top three highest annual rates of land use change were found in water bodies, rangeland, and urban and built-up land. The ESV in 2016 was found to be 1.31% higher than for 2006. The ecosystem service functions (ESFs) contributing to the increase in ESV were waste treatment, hydrological regulation, climate regulation and recreation and service culture. Future land use planning should focus on increasing wetlands and protecting agricultural land in the study area since these contribute to the highest ESV. In addition, it is essential to balance economic development with ecological enhancement.


Author(s):  
Sai Hu ◽  
Longqian Chen ◽  
Long Li ◽  
Ting Zhang ◽  
Lina Yuan ◽  
...  

Land use change has a significant impact on the structure and function of ecosystems, and the transformation of ecosystems affects the mode and efficiency of land use, which reflects a mutual interaction relationship. The prediction and simulation of future land use change can enhance the foresight of land use planning, which is of great significance to regional sustainable development. In this study, future land use changes are characterized under an ecological optimization scenario based on the grey prediction (1,1) model (GM) and a future land use simulation (FLUS) model. In addition, the ecosystem service value (ESV) of Anhui Province from 1995 to 2030 were estimated based on the revised estimation model. The results indicate the following details: (1) the FLUS model was used to simulate the land use layout of Anhui Province in 2018, where the overall accuracy of the simulation results is high, indicating that the FLUS model is applicable for simulating future land use change; (2) the spatial layout of land use types in Anhui Province is stable and the cultivated land has the highest proportion. The most significant characteristic of future land use change is that the area of cultivated land continues to decrease while the area of built-up land continues to expand; and (3) the ESV of Anhui Province is predicted to increase in the future. The regulating service is the largest ESV contributor, and water area is the land use type with the highest proportion of ESV. These findings provide reference for the formulation of sustainable development policies of the regional ecological environment.


2013 ◽  
Vol 33 (8) ◽  
pp. 2343-2349 ◽  
Author(s):  
赵丹 ZHAO Dan ◽  
李锋 LI Feng ◽  
王如松 WANG Rusong

2019 ◽  
Vol 5 (04) ◽  
pp. 270-277
Author(s):  
Sangeeta Deka ◽  
Lal Bihari Singha ◽  
Om Prakash Tripathi

Systematic studies on implications of land use change on ecosystem service value (ESV) at landscape level are scarce in Northeast India hence, a case study was undertaken in the vicinity of Ghagra Pahar Forest (GPF) predominated by tropical deciduous forest in Goalpara district of Assam. Study aims to assess the ecosystem services (ES) provided by the forest ecosystem. Altogether 23 ES were identified and grouped based on peoples’ knowledge and perceptions. Study area has been categorized in to six land use types. Temporal change analysis revealed that the area coverage under plantation, agriculture and settlement expanded, on the contrary, forest cover, water bodies and grassland decreased remarkably within a time gap of 20 years. The total ESV for the study area was disproportionately distributed among the different functions of ecosystem. Agricultural land contributed the maximum ESV. The total ESV declined at a rate of 0.64 percent per year with a net decrease of 12.7 percent. Sensitivity analysis shows that the values were less than unity indicating that total ecosystem service values would fluctuate only by 0.03-0.42 percent. Results of this study would be useful to the land use planners and policy makers to prioritise conservation efforts for sustainable resource management.


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