Improvement and application of the ecological footprint calculation Method—A case study of a Chinese university

生态足迹 碳足迹 农业 持续性 人均 牲畜 环境经济学 化石燃料 产量(工程) 自然资源 农业经济学 农业工程 环境科学 农业科学 自然资源经济学 经济 工程类 地理 生态学 林业 温室气体 废物管理 考古 生物 人口 材料科学 人口学 社会学 冶金
作者
Jianfei Liu,Huihui Wang,Zhiyuan Zhao
出处
期刊:Journal of Cleaner Production [Elsevier BV]
卷期号:450: 141893-141893
标识
DOI:10.1016/j.jclepro.2024.141893
摘要

The Ecological Footprint (EF) model is an effective tool for determining the resource consumption demand of human activities and whether natural assets are overutilized. The EF calculation method has certain theoretical and methodological importance for low-carbon campus construction. With the development of science and technology, some parameters in traditional EF calculation methods need to be modified. Based on the definition of fossil energy land and the latest average grain yield, this paper revised the calculation parameters of the EF method in six aspects: absorbed gas, electricity, agricultural products, aquatic products, livestock products, and paper. This paper applied the calculation method before and after improvement to Henan Polytechnic University. The EF of the campus according to calculations was 28,358.41 gha, and the per capita EF was 0.657 gha/person using the improved calculation method. Compared with the unimproved method, the improved method resulted in a substantial decrease in EFs, which can be explained by three reasons. First, the fossil energy land was divided into forestland and pasture land. Second, the average yield was recalculated using the latest statistical database of the United Nations Food and Agriculture Organization. Finally, the utilization of waste pulp in the paper industry was considered. The calculated results were also analyzed and compared with those of other universities, Worldwide Fund for Nature and Enhancing Universities'Sustainability Teaching and Practices through Ecological Footprint. The improved calculation results can better reflect the actual situation of the campus, improve the rationality of EF calculation, and provide a reference for EF at the campus level. Accordingly, the current situation of campus resource consumption can be explained, further providing a basis for proposing an EF reduction scheme for green campus construction.
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