Land use optimization research based on FLUS model and ecosystem services–setting Jinan City as an example

Urban Climate ◽  
2021 ◽  
Vol 40 ◽  
pp. 100984
Author(s):  
Pengju Liu ◽  
Yecui Hu ◽  
Wentao Jia
Author(s):  
Wenjing Wang ◽  
Tong Wu ◽  
Yuanzheng Li ◽  
Hua Zheng ◽  
Zhiyun Ouyang

Shortfalls and mismatches between the supply and demand of ecosystem services (ES) can be detrimental to human wellbeing. Studies focused on these problems have increased in recent decades, but few have applied land use optimization to reduce such spatial mismatches. This study developed a methodology to identify ES mismatches and then use these mismatches as objectives for land use optimization. The methodology was applied to the Guangdong-Hong Kong-Macao “Greater Bay Area” (GBA), a megacity of over 70 million people and one of the world’s largest urban agglomerations. Considering the demand for a healthy and secure living environment among city-dwellers, we focused on three ES: heat mitigation, flood mitigation, and recreational services. The results showed large spatial heterogeneity in supply and demand for these three ES. However, compared to current conditions in the GBA, our model showed that optimized land use allocation could better match the supply and demand for heat mitigation (number of beneficiaries increased by 15%), flood mitigation (amount of population exposed to flood damage decreased by 37%), and recreation (number of beneficiaries increased by 14%). By integrating land use allocation and spatial mismatch analysis, this methodology provides a feasible way to align ES supply and demand to advance urban and regional sustainability.


Land ◽  
2021 ◽  
Vol 10 (11) ◽  
pp. 1242
Author(s):  
Haozhe Zhang ◽  
Qingyuan Yang ◽  
Huiming Zhang ◽  
Lulu Zhou ◽  
Hongji Chen

Promoting the preservation and appreciation of ecosystem services is an important value guide for land use optimization. In this research, Fengdu County in the Three Gorges Reservoir Area was selected as the focus of a case study. From the perspective of the source and sink landscape of ecosystem services, a MOP model and FLUS model were used to optimize the areas of various land use types and the spatial configurations of those land use types in the study area in 2035 under a strict ecological constraint (SEC) scenario, a moderate ecological constraint (MEC) scenario, and a relaxed ecological constraint (REC) scenario. We also superimposed and adjusted the results of land use optimization under the three ecological constraint scenarios, and obtained land use regionalization results that integrated multiple scenarios. The results indicated that (1) there were large differences in the areas and spatial distributions of the source and sink landscapes under the three scenarios. Under the SEC scenario, the important source landscapes (ISLs), common source landscapes (CSLs), and sink landscapes (SLs) areas covered 1676.62 km2, 1190.43 km2, and 33.81 km2, respectively. A large area of the CSLs and a small area of the SLs were transformed into ISLs area, and the degree of fragmentation of the landscape was low. Under the MEC scenario, the ISLs, CSLs, and SLs areas covered 1609.22 km2, 1241.60 km2, and 49.74 km2, respectively. The development of the source landscapes and sink landscapes was similar, and the degree of fragmentation was moderate. Under the REC scenario, the ISLs, CSLs, and SLs areas covered 1603.96 km2, 1243.32 km2, and 53.58 km2, respectively. A large area of CSLs was transformed into SLs area, and the degree of fragmentation was high. (2) Fengdu County was divided into seven types of areas: ecological conservation area; agricultural production area; construction optimization area; construction-ecological area; ecological-agricultural area; agricultural-construction area; and integrated development area. The results of this study can provide references for the territorial spatial planning and management of ecological barrier zones.


2020 ◽  
Vol 9 (3) ◽  
pp. 154 ◽  
Author(s):  
Li Peng ◽  
Tiantian Chen ◽  
Qiang Wang ◽  
Wei Deng

Rapid industrialization and urbanization have brought dramatic changes to land use structure and layout but have caused several negative impacts on the ecosystem and environment. Increasing the supply of ecosystem services (ESs) in important ecological regions through land use optimization is one strategy that must be seriously considered in land use planning. However, existing land use optimization primarily focuses on economic outcomes, and is difficult to adapt to the practical needs of ecological civilization construction in China. Therefore, we formulated a framework that links ESs to land use decisions by combining policy analyses, multi-scenarios and integrated modelling. The paper is organized into three main parts. First, we conduct a systematic literature review to land use change (LUCC), ESs, and their relationship. Next, we build on insights from the literature review to develop a conceptual framework that integrates ESs into land use optimization. The framework includes a quantitative analysis and spatial allocation of land use. For the quantitative analysis, in addition to considering the development trends, we set ESs to achieve national requirements. Then, an optimized scenario targeted at the maximum ecosystem service value was built. For the spatial allocation, we combined multi-layer perception (MLP) and cellular automaton (CA) and developed an MLP-CA model independently. Last, an empirical study of the proposed framework was implemented in Puge County, China. Our results provide a new technical tool for the layout of optimal land use under the constraint of ecological protection policies and provides a way to address trade-offs between ecological, social, and economic values.


2020 ◽  
Author(s):  
Lingqiao Kong

<p>The complex trade-offs of ecosystem services make ecosystem management difficult to achieve win-win goals, especially in a watershed with intensive agriculture. Although a lot of research has been carried out on the types, characteristics and harmonized measures of ecosystem service trade-offs, how to achieve synergistic gain through effective land use management still lacks quantitative Optimization. Combined with models of land use optimization and spatially assessment of ecosystem services, the study build a multi-objective function and a land use optimization method to realize maximization of the total benefit based on the characteristics of ecosystem service trade-off and the driving factors in the Dongting Lake watershed, which is one of the priority areas for ecological protection in China and is also agricultural intensive. First we quantitatively model the water purification service, sediment reduction service and agricultural production using field observation and spatial models of ecosystem services, then the integrated response characteristics of multi-objectives are analyzed according to different land use scenarios based on driven mechanism of ecosystem service trade-offs. Finally the way of optimizing land use allocation and synergetic development of multiple ecosystem services in the watershed is proposed to provide quantitative means for regional land use optimization.</p>


2020 ◽  
Vol 9 (2) ◽  
pp. 295-312
Author(s):  
Jang-Hwan Jo ◽  
Moon-Ki Choi ◽  
Oh Seok Kim ◽  
Kyeong-hak Lee ◽  
Chang-Bae Lee

Land ◽  
2021 ◽  
Vol 10 (8) ◽  
pp. 770
Author(s):  
Meine van Noordwijk

Agroforestry, land use at the agriculture-forestry interface that implies the presence of trees on farms and/or farmers in forests, has a history that may be as old as agriculture, but as an overarching label and topic of formal scientific analysis, it is in its fifth decade [...]


2021 ◽  
Vol 14 (14) ◽  
Author(s):  
Syed Atif Bokhari ◽  
Zafeer Saqib ◽  
Amjad Ali ◽  
Arif Mahmud ◽  
Nadia Akhtar ◽  
...  

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