文献类型：期刊文献

英文题名：Digital carbon accounting and spatial transition analysis for Litopenaeus vannamei aquaculture: toward data-driven low-carbon governance

作者：Wen, Mingming[1,2];Chen, Quan[1];Lv, Zhaoheng[3]

机构：[1]Guangdong Ocean Univ, Sch Management, Zhanjiang, Peoples R China;[2]Guangdong Coastal Econ Belt Dev Res Inst, Zhanjiang, Peoples R China;[3]Anhui Agr Univ, Sch Econ & Management, Hefei, Peoples R China

年份：2026

卷号：10

外文期刊名：FRONTIERS IN SUSTAINABLE FOOD SYSTEMS

收录：SCI-EXPANDED(收录号：WOS:001758444200001)、、WOS

基金：The author(s) declared that financial support was received for this work and/or its publication. This article was supported by the Belt and Road Foreign Expert Innovation and Talent Exchange Project (DL2023030007L) and the project for scientific research start-up funds of Guangdong Ocean University (R20067).

语种：英文

外文关键词：aquaculture sustainability; data-driven environmental monitoring; digital carbon accounting; GIS-LCA model; spatial Markov chain

外文摘要：Background: Guided by the concept of the Great Food View and the coordinated management of ecological thresholds in fisheries, this study examines the spatiotemporal evolution and trend prediction of carbon emissions from Litopenaeus vannamei aquaculture in China. Purpose: This study aims to develop an analytical framework that promotes both industrial efficiency improvement and ecological value enhancement, to inform integrated food supply system optimization and national carbon peaking strategies. Method: A novel GIS-LCA spatial carbon footprint model was developed, integrating the Theil index, kernel density estimation, Moran's I, and spatial Markov chain methods to analyze carbon emissions across ten coastal provinces from 2009 to 2023. Finding: The results show that total carbon emissions have increased significantly, with steel and compound feed production as dominant sources. Regional disparities widened, forming a hierarchical pattern of "southern > northern > eastern" marine economic zones. The emission distribution exhibited a rightward-then-leftward shift, elongated right tails, and narrowing variance, accompanied by significant High-High and Low-Low spatial clustering. Moreover, provincial emissions displayed strong spatial continuity and a "Matthew effect" during state transitions, with potential for leapfrogging shifts. Policy: Based on these spatial patterns, a multi-scale regulation strategy is proposed to promote differentiated governance and accelerate the low-carbon transformation of China's aquaculture industry, which include optimizing region-specific emission reduction policies, strengthening interregional coordination in carbon mitigation, improving carbon emission monitoring and assessment systems, enhancing the integration of ecological protection with industrial development, and advancing low-carbon governance capacity together with residents' well-being.