西藏—江两河地区耕地土壤有机碳空间分异及其影响因素OA北大核心CSTPCD
Spatial differentiation of cropland soil organic carbon and influencing factors in the Yarlung Zangbo River,Nyangqu River and Lhasa River region of Tibet
耕地土壤有机碳(SOC)在稳定生态环境和粮食安全等方面发挥重要作用,探明其空间分异规律及其影响因素对于生态文明建设和区域农业发展具有重要意义.本研究以西藏"一江两河"地区耕地土壤为对象,基于150个采样点,采用冗余分析和结构方程模型,研究了区域耕地SOC的空间分异特征及其影响因素.结果表明:"一江两河"地区耕地SOC表现为西部地区低、东部高,雅江干流河谷低、南北支流源头高,研究区SOC整体较匮乏;土壤粉粒是区域SOC空间分异的主导因子,解释了SOC变异的14.0%;年均蒸发量比年均气温和年均降水更能解释区域SOC的空间分异;区域SOC含量主要表现出垂直地带性和经向地带性,海拔主要通过影响气温和蒸发量,经度主要通过影响降水和土壤pH间接影响区域耕地SOC含量;空间位置通过影响气候、植被和土壤特性间接影响SOC含量.本研究为SOC空间预测和区域农业发展提供了科学依据.
Soil organic carbon(SOC)in croplands plays an important role in stabilizing the ecological environment and food security.Exploring the spatial variations and influencing factors of SOC is of great significance for promo-ting the sustainability of regional agriculture.We analyzed the spatial differentiation characteristics and influencing factors of cropland SOC using redundancy analysis(RDA)and structural equation model(SEM),with 150 sam-pling points from cropland topsoil across the Yarlung Zangbo River,the Nyangqu River,and the Lhasa River region(the YNL river region)in Tibet.The results showed that cropland SOC in the YNL river region was low in the west and high in the east,and low in the mainstream valley of the Yarlung Zangbo River and high in the source areas of the north and south tributaries.Overall,the average SOC content in the YNL river region was relatively low.Soil silt content was the dominant factor in the regional spatial variations of SOC,explaining 14.0%of total variation.Mean annual evaporation(MAE)could better explain the spatial variations of SOC than mean annual temperature(MAT)and mean annual precipitation(MAP).The SOC content in this region mainly showed vertical and merid-ional zonality.Altitude affected SOC levels indirectly by affecting temperature and evaporation,while longitude af-fected it indirectly by affecting precipitation and soil pH.The spatial variations of SOC content were indirectly af-fected by climate,vegetation,and soil properties.This study provides a scientific basis for the prediction of spatial variations of SOC and regional agricultural development.
谭格非;王兆锋;张镱锂;宫殿清;胡晓阳
中国科学院地理科学与资源研究所/陆地表层格局与模拟重点实验室,北京 100101||中国科学院大学,北京 100049中国科学院地理科学与资源研究所/陆地表层格局与模拟重点实验室,北京 100101||中国科学院大学,北京 100049||中国科学院青藏高原地球科学卓越创新中心,北京 100101
土壤有机碳空间分异青藏高原冗余分析结构方程模型
soil organic carbonspatial differentiationQinghai-Tibet Plateauredundancy analysis(RDA)structural equation modeling(SEM)
《生态学杂志》 2024 (006)
1824-1832 / 9
国家自然科学基金项目(41771113)、第二次青藏高原综合科学考察研究(2019QZKK0603)和中国科学院战略性先导科技专项(XDA20040201)资助.
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