Research on Accounting for the Value of Forest Ecological Products in Qilian Mountain National Park in Gansu Province

IF 2.6 3区环境科学与生态学 Q2 ECOLOGY

Ecological Modelling Pub Date : 2025-02-01 DOI:10.1016/j.ecolmodel.2024.110984

Na Meng , Ying Zhang , Hui Xiao

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引用次数: 0

Abstract

The region benefits from forest ecological goods, which support sustainable human growth and well-being by supplying material and ecological products and regulating ecological products and ecological products for cultural tourism. By using GEP accounting, this study aims to evaluate the material forest ecological products, regulating forest ecological products Soil Conservation (SC), Carbon Sequestration (CS), Crop Pollination (CP), Water Conservation (WC), Wind prevention and sand fixation (WPSF) and Insect pollination, and cultural service forest ecological products of Qilian Mountain National Park in Gansu Province. Finally, it is concluded that the forest products in Qilian Mountain National Park, Gansu Province, have significant potential. The value of these products generally exhibits a smooth development trend; the woodland type that contributes most to these products is shrub forest; the forest products' spatial distribution features include high concentrations in the southeast and low concentrations in the northwest, with a gradual decline from east to west. This pattern aligns with the distribution of vegetation types in the study area.

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来源期刊

Ecological Modelling 环境科学-生态学

CiteScore

5.60

自引率

6.50%

发文量

259

审稿时长

69 days

期刊介绍： The journal is concerned with the use of mathematical models and systems analysis for the description of ecological processes and for the sustainable management of resources. Human activity and well-being are dependent on and integrated with the functioning of ecosystems and the services they provide. We aim to understand these basic ecosystem functions using mathematical and conceptual modelling, systems analysis, thermodynamics, computer simulations, and ecological theory. This leads to a preference for process-based models embedded in theory with explicit causative agents as opposed to strictly statistical or correlative descriptions. These modelling methods can be applied to a wide spectrum of issues ranging from basic ecology to human ecology to socio-ecological systems. The journal welcomes research articles, short communications, review articles, letters to the editor, book reviews, and other communications. The journal also supports the activities of the [International Society of Ecological Modelling (ISEM)](http://www.isemna.org/).