The three-pool and first-order model separates the mineralizable organic carbon into active,slow,and passive carbon pools.This paper used the model and decomposition curves of the soil organic carbon to fit the active...The three-pool and first-order model separates the mineralizable organic carbon into active,slow,and passive carbon pools.This paper used the model and decomposition curves of the soil organic carbon to fit the active pool and its decomposition rate,slow pool and its decomposition rate.The results showed that the size of the active pool from different profiles accounted for 2.09%-3.08% of the total soil organic carbon and the mean residue time was 3.57-17.21 days.And the size of the slow pool accounted for 3.19%-43.55% and the mean residue time was 1.12-4.94 years.Acid hydrolysis（6M HCl） was used to fractionate the passive organic carbon,which accounted for 50.83%-94.44% of the total soil organic carbon.展开更多
In this paper, we take Guizhou Province (the heart of southwestern Karst region in China) as the research object. By establishing gray forecasting model and time series forecasting model, we conduct the accuracy test ...In this paper, we take Guizhou Province (the heart of southwestern Karst region in China) as the research object. By establishing gray forecasting model and time series forecasting model, we conduct the accuracy test on the actual production capacity of land and the forecasted production capacity of land in 2007 and 2008, and then conduct comprehensive forecast of the land production potential in Guizhou Province in 2020. On this basis, considering the nutritional standards needed by three kinds of life type (dressing warmly and eating one's fill, well-off life, relatively affluent life), we evaluate the land production potential in Guizhou Province under the project of returning farmland to forest. Based on the evaluation results, we put forth the relevant recommendations for achieving sustainable land use in the context of returning farmland to forest in Guizhou Province.展开更多
中国科学院环江喀斯特生态系统观测研究站(本文中简称“环江站”)是我国西南喀斯特地区重要的农业生态系统长期野外定位观测研究站,是依照中国生态系统研究网络(Chinese Ecosystem Research Network,简称CERN)联网监测规范布置的试验样...中国科学院环江喀斯特生态系统观测研究站(本文中简称“环江站”)是我国西南喀斯特地区重要的农业生态系统长期野外定位观测研究站,是依照中国生态系统研究网络(Chinese Ecosystem Research Network,简称CERN)联网监测规范布置的试验样地。自2005年以来,环江站依照国家生态系统观测研究网络(National Ecosystem Research Network of China,简称CNERN)和CERN农田生态系统观测指标要求,逐一开展针对喀斯特峰丛洼地农田生态系统水分、土壤、生物、气象等环境要素的监测活动。本数据集收集、整理了环江站2006–2022年8个长期联网监测样地的土壤养分数据,包括土壤有机质、全氮、全磷、全钾、碱解氮、有效磷、速效钾、缓效钾、pH值等9项指标,均进行了严格的数据质量控制与评估,并附有完整的样地背景信息和分析方法记录。本数据集反映了桂西北喀斯特峰丛洼地农业区传统代表性作物早晚稻、玉米、大豆、桑叶、柑橘等农作地土壤常规养分含量动态变化,对指导喀斯特峰丛洼地农业生产、培育土壤地力具有参考依据。展开更多
以Web of Science核心集(web of science core collection)和中国知网(CNKI)数据库为基础,采取统计与聚类的分析方法,基于文献计量学知识,借助Cite Space信息可视化软件,分别对1993—2023年在web of science core collection和1924—202...以Web of Science核心集(web of science core collection)和中国知网(CNKI)数据库为基础,采取统计与聚类的分析方法,基于文献计量学知识,借助Cite Space信息可视化软件,分别对1993—2023年在web of science core collection和1924—2023 CNKI中发表的土壤酸化文献进行索引分析;通过对web of science core collection中4 772篇、CNKI中2 482篇相关文献中的热点、关键词、时间线等展开多角度可视化分析,统计并绘制有关国际国内土壤酸化研究文献的关键词、时间图谱等图表,挖掘国际国内土壤酸化研究发展趋势及方向。结果表明:土壤酸化研究主体由森林土壤酸化逐步转向耕地土壤酸化,研究范围从单一的p H值及影响因子的相关分析进阶至致酸离子与抑酸离子的双向互作分析,土壤酸化路径的分子生物学、动力学特征研究更趋于细化。展开更多
基金Supported by the Work Project of China Geological Survey (1212010911062)Guangxi Zhuang Autonomous Region Innovation Project (0842008)National Natural Science Foundation (40872213)
文摘The three-pool and first-order model separates the mineralizable organic carbon into active,slow,and passive carbon pools.This paper used the model and decomposition curves of the soil organic carbon to fit the active pool and its decomposition rate,slow pool and its decomposition rate.The results showed that the size of the active pool from different profiles accounted for 2.09%-3.08% of the total soil organic carbon and the mean residue time was 3.57-17.21 days.And the size of the slow pool accounted for 3.19%-43.55% and the mean residue time was 1.12-4.94 years.Acid hydrolysis（6M HCl） was used to fractionate the passive organic carbon,which accounted for 50.83%-94.44% of the total soil organic carbon.
基金Supported by 2009 Youth Project of Social Science Planning in Guizhou Province (09GHQNHQ04)Agricultural Scientific and Technological Project in Guizhou Province (20103014)
文摘In this paper, we take Guizhou Province (the heart of southwestern Karst region in China) as the research object. By establishing gray forecasting model and time series forecasting model, we conduct the accuracy test on the actual production capacity of land and the forecasted production capacity of land in 2007 and 2008, and then conduct comprehensive forecast of the land production potential in Guizhou Province in 2020. On this basis, considering the nutritional standards needed by three kinds of life type (dressing warmly and eating one's fill, well-off life, relatively affluent life), we evaluate the land production potential in Guizhou Province under the project of returning farmland to forest. Based on the evaluation results, we put forth the relevant recommendations for achieving sustainable land use in the context of returning farmland to forest in Guizhou Province.
文摘中国科学院环江喀斯特生态系统观测研究站(本文中简称“环江站”)是我国西南喀斯特地区重要的农业生态系统长期野外定位观测研究站,是依照中国生态系统研究网络(Chinese Ecosystem Research Network,简称CERN)联网监测规范布置的试验样地。自2005年以来,环江站依照国家生态系统观测研究网络(National Ecosystem Research Network of China,简称CNERN)和CERN农田生态系统观测指标要求,逐一开展针对喀斯特峰丛洼地农田生态系统水分、土壤、生物、气象等环境要素的监测活动。本数据集收集、整理了环江站2006–2022年8个长期联网监测样地的土壤养分数据,包括土壤有机质、全氮、全磷、全钾、碱解氮、有效磷、速效钾、缓效钾、pH值等9项指标,均进行了严格的数据质量控制与评估,并附有完整的样地背景信息和分析方法记录。本数据集反映了桂西北喀斯特峰丛洼地农业区传统代表性作物早晚稻、玉米、大豆、桑叶、柑橘等农作地土壤常规养分含量动态变化,对指导喀斯特峰丛洼地农业生产、培育土壤地力具有参考依据。
文摘以Web of Science核心集(web of science core collection)和中国知网(CNKI)数据库为基础,采取统计与聚类的分析方法,基于文献计量学知识,借助Cite Space信息可视化软件,分别对1993—2023年在web of science core collection和1924—2023 CNKI中发表的土壤酸化文献进行索引分析;通过对web of science core collection中4 772篇、CNKI中2 482篇相关文献中的热点、关键词、时间线等展开多角度可视化分析,统计并绘制有关国际国内土壤酸化研究文献的关键词、时间图谱等图表,挖掘国际国内土壤酸化研究发展趋势及方向。结果表明:土壤酸化研究主体由森林土壤酸化逐步转向耕地土壤酸化,研究范围从单一的p H值及影响因子的相关分析进阶至致酸离子与抑酸离子的双向互作分析,土壤酸化路径的分子生物学、动力学特征研究更趋于细化。
