Relationship between Climate-Shaped Urbanization and Forest Ecological Function: A Case Study of the Yellow River Basin, China

Xiaobing Gu, Guangyu Wang, Shunli Zhang, Linyan Feng, Ram P. Sharma, Huoyan Zhou, Liyong Fu, Qingjun Wu, Yaquan Dou and Xiaodi Zhao ()
Additional contact information
Xiaobing Gu: Research Institute of Forestry Policy and Information, Chinese Academy of Forestry, Beijing 100091, China
Guangyu Wang: Faculty of Forestry, The University of British Columbia, Vancouver, BC V6T 1Z4, Canada
Shunli Zhang: Research Institute of Forestry Policy and Information, Chinese Academy of Forestry, Beijing 100091, China
Linyan Feng: Research Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, China
Ram P. Sharma: Institute of Forestry, Tribhuvan University, Kathmandu 44600, Nepal
Huoyan Zhou: School of Ecology and Environment Science, Yunnan University, Kunming 650031, China
Liyong Fu: Research Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, China
Qingjun Wu: Research Institute of Forestry Policy and Information, Chinese Academy of Forestry, Beijing 100091, China
Yaquan Dou: Research Institute of Forestry Policy and Information, Chinese Academy of Forestry, Beijing 100091, China
Xiaodi Zhao: Research Institute of Forestry Policy and Information, Chinese Academy of Forestry, Beijing 100091, China

Land, 2023, vol. 12, issue 11, 1-20

Abstract: Amidst the compounded challenges posed by global climate change and urbanization on forest ecosystems, the integration of urbanization control measures within a climate-focused framework may offer an avenue for breakthroughs. This study delves into the impact of climate, specifically hydrothermal conditions, on the complex interplay between urbanization (Urb) and forest ecological function (Eco) in the Yellow River Basin (YRB) in China. Our findings reveal: (1) The application of a coupled coordination model reveals a stronger alignment between urbanization and forest ecological function in the warm and humid regions in the YRB. (2) Through the cross-sectional threshold regression model, we elucidate the diverse responses of Urb to Eco across varying climate gradients. Among them, annual precipitation shows a double-threshold effect at 532.34 mm and 694.18 mm. As precipitation increases, the impact of Urb shifts from negative to positive on Eco. Moreover, in regions with precipitation below 532.34 mm and above 694.18 mm, the absolute value of response coefficients of Eco to Urb is amplified. Annual average temperature displays a single-threshold effect at 10.11 °C, leading to a transition from negative to positive impact as temperature rises. This study establishes the climate-based threshold system that governs the urbanization–forest ecological function relationship.

Keywords: urbanization; forest ecological function; climate; coupled coordination model; threshold regression model (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2023
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