Study on the Optimization of Territory Spatial "Urban-Agricultural-Ecological" Pattern Based on the Improvement of "Production-Living-Ecological" Function under Carbon Constraint

Ran Yu; Yan Qin; Yuting Xu; Xiaowei Chuai

doi:10.3390/ijerph19106149

Study on the Optimization of Territory Spatial "Urban-Agricultural-Ecological" Pattern Based on the Improvement of "Production-Living-Ecological" Function under Carbon Constraint

Int J Environ Res Public Health. 2022 May 18;19(10):6149. doi: 10.3390/ijerph19106149.

Authors

Ran Yu^{1

2}, Yan Qin¹, Yuting Xu³, Xiaowei Chuai⁴

Affiliations

¹ School of Economics and Management, Anhui Agricultural University, Hefei 230036, China.
² Institute of Land and Resources, Anhui Agricultural University, Hefei 230036, China.
³ School of Geography and Tourism, Anhui Normal University, Wuhu 241000, China.
⁴ School of Geography and Ocean Science, Nanjing University, Nanjing 210046, China.

Abstract

The spatial layout of the "Production-Living-Ecological" (PLE) function and the spatial optimization of the "Urban-Agricultural-Ecological" (UAE) pattern are the key points and difficulties in territorial space planning. This paper analyzes their spatial concepts and holds that PLE space is a functional space, while UAE space belongs to a regional space. The optimization of the UAE pattern should be guided by the improvement of the PLE function. Therefore, taking Hefei City, China, as an example, this paper analyzes the evolution of the present UAE pattern, evaluates the PLE function under carbon constraint and then determines the improvement direction of the PLE function and finally simulates the future UAE pattern of territory space. The conclusions are as follows: ① From 2011 to 2019, the urban space increased incrementally, while the agricultural space and ecological space decreased continuously, and the urban space expansion squeezed the agricultural and ecological spaces greatly; ② The PLE functions of four districts in the main city are higher than that of five other counties. After the carbon constraint conditions are included, the PLE functions of the main city were reduced due to the relatively strong capacity of carbon source, while the counties' increased due to a stronger carbon sink capacity; ③ According to the normalized revealed comparative advantage (NRCA) index, it was determined that the functional improvement direction of each district and county are Yaohai District and Shushan District have comprehensive function as a priority, Luyang District and Baohe District give priority to living-ecological function, Changfeng County, Feidong County, Feixi County and Chaohu County give priority to production-ecological function, and Lujiang County gives priority to ecological function; ④ The simulation results show that 2025 is an important node for the evolution of the UAE pattern. The urban spatial expansion during the "14th Five-Year Plan" period will still bring great pressure on agriculture and ecological spaces, and then, the UAE pattern will continue to be optimized and balanced.

Keywords: FLUS model; NRCA index; PLE function; UAE pattern; carbon constraint.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Agriculture
Carbon*
China
Cities
Conservation of Natural Resources*

Substances

Carbon

Grants and funding

This research was funded by the Humanity and Social Science Key Program of the Education Department of Anhui Province (Project No.: SK2019A0130). This research was supported by the National Natural Science Foundation of China (Project No.: 71873003) and the Natural Science Foundation of Anhui Province (Project No.: 1908085QG310).