青海省畜牧CO2排放强度的时空演变特征及其影响因素研究OA北大核心
Research into the spatial and temporal changes in patterns of animal husbandry-related CO2 emission intensities and the factors influencing those emissions in Qinghai Province
畜牧CO2排放是温室气体的重要来源.本研究分析了青海省2008-2018年畜牧CO2 排放强度的时空分布特征,并利用地理探测器探究了各因素对畜牧CO2 排放强度时空演变的影响强度及其交互作用.研究发现:1)随着青海省生态保护措施的实施和生态畜牧业建设,2000-2018年畜牧CO2排放强度减少了48.05%,畜牧业显示出低碳发展的趋势;2)2008-2018年间,畜牧业的CO2排放强度重心向西偏南迁移了17.99 km.截至2018年,畜牧CO2排放强度表现出明显的南强北弱格局.这表明青海省南部地区仍具有较大的畜牧CO2减排潜力,急需加快产业结构调整,促进畜牧业养殖技术升级;3)畜牧CO2排放强度变化的影响因素从自然、经济、市场需求等综合因素转变为牧业产值、城镇化等经济发展水平指标;4)畜牧经济水平与产品结构因子的交互作用逐渐替代自然禀赋与其他因子间的交互作用,成为影响畜牧CO2排放强度空间分布的关键因素.研究结果表明,青海省通过生态畜牧业建设,逐渐摆脱了依靠自然禀赋的传统粗放型的畜牧业发展方式,提高了生产效率,促进了畜牧CO2减排.但其仍存在较大的畜牧CO2减排空间,需继续推动生态畜牧业建设与农村产业结构调整,加快产业转型和升级,保障畜牧业的低碳发展.本研究可为青海省畜牧业的低碳可持续发展,以及我国制定畜牧业减排的政策提供科学参考.
Livestock CO2 emissions constitute a significant source of greenhouse gases.This study analyzed the spatial and temporal distribution patterns of livestock CO2 emissions intensity in Qinghai Province from 2008 to 2018.In this study,a geographical model was utilized to explore the intensity of the impact and the interactions of various factors on the spatial and temporal changes in livestock CO2 emission intensities.The study found that:1)With the implementation of ecological protection measures and the formulation of ecological animal husbandry practices in Qinghai Province,the intensity of animal husbandry CO2 emissions decreased by 48.05% from 2008 to 2018,and the animal husbandry industry showed a trend towards development of a low-carbon status;2)Between 2008 and 2018,the center of gravity of CO2 emission intensity of animal husbandry migrated westward and southward by 17.99 km,and as of 2018,the CO2 emission footprint of the livestock industry showed an obvious pattern of stronger intensity in the south and weaker intensity in the north.This indicates that the southern region of Qinghai Province still has a large potential for livestock CO2 emission reduction,and there is an urgent need to accelerate agricultural industrial structure adjustment and promote the upgrading of livestock farming technology;3)The factors influencing the change in livestock CO2 emission intensity have shifted from combined factors such as the natural resource endowment,economy,and market demand to economic development indicators such as livestock output value and urbanization;4)The interaction between the economic level of livestock and product structure factors has gradually replaced the interaction between natural resource endowment and similar factors,and the former is now becoming the key factor affecting the spatial distribution of livestock CO2 emission intensity.The results of the study indicate that Qinghai Province,through the development of ecologically improved livestock farming practices,has gradually moved away from the traditional extensive mode of livestock development relying on natural endowments,has improved production efficiency,and has achieved carbon emission reduction in the livestock industry.However,there still exists considerable space for reducing carbon emissions in the livestock industry,requiring continued promotion of ecologically improved livestock farming practices and rural industrial structure adjustment,together with acceleration of industrial transformation and upgrading,to ensure the development of a low-carbon livestock industry.This study provides scientific analysis to assist the formulation of livestock emission reduction policies as part of the development of a sustainable,low-carbon livestock industry in Qinghai Province and in China.
李军豪;杨国靖;裴孝东;石贵;王娅;周立华
中国科学院西北生态环境资源研究院,甘肃 兰州 730000||中国科学院大学,北京 100049||干旱区生态安全与可持续发展重点实验室,甘肃 兰州 730000中国科学院西北生态环境资源研究院,甘肃 兰州 730000||中国科学院大学,北京 100049||干旱区生态安全与可持续发展重点实验室,甘肃 兰州 730000中国科学院大学,北京 100049||中国科学院科技战略咨询研究院,北京 100190中国科学院西北生态环境资源研究院,甘肃 兰州 730000||中国科学院大学,北京 100049||干旱区生态安全与可持续发展重点实验室,甘肃 兰州 730000中国科学院西北生态环境资源研究院,甘肃 兰州 730000||干旱区生态安全与可持续发展重点实验室,甘肃 兰州 730000中国科学院大学,北京 100049||中国科学院科技战略咨询研究院,北京 100190
青海省畜牧业排放强度地理探测器CO2减排
Qinghai Provinceanimal husbandryemission intensitygeographical detectorCO2 emission reduction
《草业学报》 2025 (3)
1-16,16
中国科学院战略性先导科技专项(A类)"创建生态草牧业科技体系"子课题"牧区畜牧资源调查与评估"(XDA26010301)和第二次青藏高原综合科学考察研究(2019QZKK0404)资助.
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