草业学报2016，Vol.25Issue(10)：1-10,10.DOI:10.11686/cyxb2015579
放牧对草原生态系统不同气候区碳库影响的 Meta 分析
Meta-analysis of effects of grazing on carbon pools in grassland ecosystems in different climatic regions
摘要
Abstract
Changes in carbon stocks in grassland ecosystems are an important factor in the global carbon bal-ance.Although many individual studies have been conducted around the world on the effects of grazing on car-bon cycling,there is still some controversy regarding the general effects of livestock grazing on different carbon pools.In this study,105 individual studies on the effects of grazing on carbon cycling were subjected to a meta-analysis.Our results revealed several general trends,which can be summarized as follows.Grazing activities significantly decrease the size of above-belowground and related carbon pools,but increase soil respiration.The types of carbon pools vary significantly among climate types.Grazing activities decrease the size of plant below-ground carbon pools and soil carbon pools in semi-humid/humid climate regions (by 15.21% and 15.35%,re-spectively),but have smaller effects on these carbon pools in arid/semi-arid climate regions.There is no signif-icant relationship between plant aboveground carbon pools and soil carbon pools,but there is a significant posi-tive correlation between plant belowground carbon pools and soil carbon pools.The response ratio of soil car-bon pools is positively correlated with mean annual precipitation,and significantly negatively correlated with mean annual temperature.Both mean annual precipitation and mean annual temperature are significantly nega-tively correlated with the response of plant belowground carbon pools.Grazing activities not only significantly decrease the size of plant aboveground and belowground carbon pools,but also alter carbon distribution in the plant.关键词
放牧活动/草地生态系统/地下碳循环/Meta 分析Key words
grazing activates/grassland ecosystem/belowground carbon pools/Meta-analysis引用本文复制引用
周贵尧,吴沿友..放牧对草原生态系统不同气候区碳库影响的 Meta 分析[J].草业学报,2016,25(10):1-10,10.基金项目
中国科学院“百人计划”择优项目，国家自然科学基金（31070365）和江苏省高校优势学科［苏政办（2014）37号］资助。 （）
