Assessing the Ecological Carrying Capacity Based on Revised Three-Dimensional Ecological Footprint Model in Inner Mongolia, China

Sustainability

Yuantong Jiang¹  Haowei Wang¹  Yening Wang¹  Yuanmao Zheng¹ 

[1] Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China;

关键词: ecological footprint size;    ecological footprint depth;    ecological carrying capacity;    ecological carrying capacity intensity;    three-dimensional ecological carrying capacity;    Inner Mongolia Autonomous Region;   

DOI  :  10.3390/su11072002

来源: DOAJ

【 摘 要 】

Under the concept of green development, accurately mapping ecological carrying capacity to effectively evaluate regional sustainability has already become an important issue in China. This study introduced ecological carrying capacity intensity (EC_intensity) based on the revised three-dimensional ecological footprint (3DEF) model to describe the temporal–spatial patterns of three-dimensional ecological carrying capacity (EC_3D) in Inner Mongolia in 2010–2016 and to explore factors affecting socioeconomic sustainable development. The results showed that ecological footprint size (EF_size) differed between cities/leagues but changed little during the study period. Ecological footprint depth (EF_depth) far exceeded the original value of 1.00. Ecological carrying capacity (EC) varied in cities/leagues, while EC_intensity increased slowly with stronger potential for regional development. Three-dimensional ecological deficits (ED_3D) of cities/leagues were divided into five categories: Hohhot, Hulunbuir and Banyannur were in larger ecological surplus; Hinggan was in slight surplus; Baotou, Chifeng, Tongliao, Ulanqab, Xilin Gol and Erdos were in slight deficit; Wuhai was in stronger deficit; and Alxa was in severely intense deficit. Woodland of cities/leagues was continuously in slight ecological surplus, while cropland and grassland had crucial impacts on deficit. There was a significant positive linear correlation between gross domestic product (GDP) and footprint, while a negative correlation was seen with deficit. These results would help coordinate resource utilization and industrial structure adjustment in Inner Mongolia.

【 授权许可】

Unknown