Assessment of the green development level and the identification of obstacles to grass-based livestock husbandry in the farming–pastoral ecotone of northern China

IF 5.8 2区环境科学与生态学 Q1 ECOLOGY

Ecological Informatics Pub Date : 2025-03-22 DOI:10.1016/j.ecoinf.2025.103112

Dan Liu , Jianjun Jin , Xuan Zhang , Xin Qiu , Rui He , Jie Yang

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引用次数: 0

Abstract

The green development of livestock husbandry represents the balance between livestock production and environmental protection. In this study, a comprehensive framework and evaluation indices were developed for assessing the green development level of grass-based livestock husbandry (GDL-GLiH), including the green growth degree (GGD), green carrying capacity (GCC) and green guarantee capability (GGC). On the basis of the combined weight Technique Order Preference by Similarity to an Ideal Solution (TOPSIS) model and an analysis of obstacles, the GDL-GLiH in the farming–pastoral ecotone of northern China (FPEN) was evaluated, and the main obstacles were identified. The results indicated a general upward trend in the GDL-GLiH across the FPEN, increasing from 0.343 in 2010 to 0.416 in 2020, reflecting a growth rate of 21.138 %. Among the three dimensions, the GGC showed the most substantial increase of 95.937 %, whereas the GCC exhibited minimal growth of 1.006 %. Spatial variations were observed, with livestock-dominated systems exhibiting higher average levels (0.398) but lower growth rates (19.740 %) than crop-dominated systems (0.356; 22.252 %). Additionally, the production of milk (average obstacle degree: 12.970 %), the proportion of forage cultivation in crop cultivation (11.312 %), the total mechanical power per unit agricultural sown area (10.081 %) and the availability of purebred bovine and ovine breeding stock (9.034 %) were identified as the key obstacles. This study provides a holistic assessment framework for green livestock development and serves as a reference for formulating green development strategies in the FPEN, as well as in similar agricultural systems.

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来源期刊

Ecological Informatics 环境科学-生态学

CiteScore

8.30

自引率

11.80%

发文量

346

审稿时长

46 days

期刊介绍： The journal Ecological Informatics is devoted to the publication of high quality, peer-reviewed articles on all aspects of computational ecology, data science and biogeography. The scope of the journal takes into account the data-intensive nature of ecology, the growing capacity of information technology to access, harness and leverage complex data as well as the critical need for informing sustainable management in view of global environmental and climate change. The nature of the journal is interdisciplinary at the crossover between ecology and informatics. It focuses on novel concepts and techniques for image- and genome-based monitoring and interpretation, sensor- and multimedia-based data acquisition, internet-based data archiving and sharing, data assimilation, modelling and prediction of ecological data.