长白山自然保护区是典型的温带原始森林生态系统,其植被总初级生产力(GPP)与地形和气候变化密切相关,开展长白山自然保护区GPP的时空变化特征以及影响因子研究,对于了解植被生长状况和生态环境质量具有重要意义。本研究采用光能利用率模...长白山自然保护区是典型的温带原始森林生态系统,其植被总初级生产力(GPP)与地形和气候变化密切相关,开展长白山自然保护区GPP的时空变化特征以及影响因子研究,对于了解植被生长状况和生态环境质量具有重要意义。本研究采用光能利用率模型(VPM)对长白山自然保护区GPP进行估算,并分析坡度、海拔、气温、降水、总辐射对其的影响。结果表明:2000—2020年,长白山自然保护区GPP多年平均值为63~1706 g C·m^(-2)·a^(-1),GPP随海拔的增加而减小。气温是影响长白山自然保护区植被GPP空间分布差异的主要因素,其与GPP之间存在显著正相关性。研究期间,长白山自然保护区年GPP整体呈极显著增加趋势,年均增加值为13 g C·m^(-2)·a^(-1)。年GPP增加的区域占总区域的79.9%,且各植物功能型年GPP增加面积的比例存在差异。年降水与长白山自然保护区43.2%区域的GPP呈显著负相关,而年均温和年总辐射分别与长白山自然保护区47.2%和82.4%区域的GPP呈显著正相关。在未来全球气候变暖的背景下,长白山自然保护区GPP将会持续增加。展开更多
The variation of the atmospheric Carbon Dioxide （CO2） concentration plays an important role in global cli- mate and agriculture. We analyzed the spatial-temporal characteristics of CO2 in the China region and around...The variation of the atmospheric Carbon Dioxide （CO2） concentration plays an important role in global cli- mate and agriculture. We analyzed the spatial-temporal characteristics of CO2 in the China region and around the globe with the CO2 column mixing ratios observed by the Japanese GOSAT satellite （Greenhouse Gases Observing Satellite）. In order to make sure that the accuracy of the CO2 data retrieved by the satellite meets the needs of the climate charac- teristics analyses, we ran a validation on the CO2 column mixing ratios retrieved by the satellite against the ground-based TCCON （Total Carbon Column Observing Network） observation data. The result shows that the two sets of data have a correlation coefficient of higher than 0.7, and a bias of within 2.2 ppmv. Therefore, the GOSAT CO2 da- ta can be used for the climate characteristics analysis of global CO2. Our analysis on the spatial-temporal characteristics of the CO2 column mixing ratios observed during the period of June 2009 through January 2014 proved that, with the impact of the natural emission of near ground CO2 and human activities, the global CO2 concentration has a significant latitudinal characteristics with its highest level averaging 390 oomv in the 0-40？N latitudinal zone in the Northern Hemisphere, and 387 ppmv in the Southern Hemisphere. China has a relatively higher CO2 concentration with the highest level exceeding 398 ppmv, and the eastern area higher than the western area. The variation of global CO2 concentration shows a seasonal pattern, i.e. the CO2 concen- tration reaches its highest in spring in the Northern Hemisphere averaging more than 392 ppmv, second highest in win- ter, and lowest in summer averaging less than 387 ppmv. It fluctuates the most in the Northern Hemisphere with an av- erage concentration of 392.5 ppmv in April, and 385.5 ppmv in July. While in the Southern Hemisphere, the seasonal fluctuation is smaller with the highest concentration occurring in July. Over the recent years, the global CO2 concent展开更多
长白山阔叶红松林是我国目前温带面积最大、保护最为完整的森林生态系统之一。森林凋落物作为森林地上净生产量回归土壤的主要方式,是森林生态系统养分归还的重要途径。森林凋落物研究对于理解森林碳循环以及预测其对气候变化的响应都...长白山阔叶红松林是我国目前温带面积最大、保护最为完整的森林生态系统之一。森林凋落物作为森林地上净生产量回归土壤的主要方式,是森林生态系统养分归还的重要途径。森林凋落物研究对于理解森林碳循环以及预测其对气候变化的响应都有着极为重要的意义。作为中国生态系统研究网络(Chinese Ecosystem Research Network,CERN)和国家野外科学观测研究站网络(National Ecosystem Research Network of China,CNERN)成员,长白山森林生态系统定位研究站按照CERN的统一规范,在长白山阔叶红松林野外永久样地安装10个凋落物框,长期对其进行凋落物回收量监测。本数据集通过整理和统计,汇总了2011-2020年长白山阔叶红松林凋落物各组分(枯枝、枯叶、落果(花)、树皮、苔藓地衣及杂物的干重)回收量月动态及现存量年动态数据,并包含了相关的数据集构建过程信息,数据集可为森林生态和土壤研究提供基础。展开更多
文摘长白山自然保护区是典型的温带原始森林生态系统,其植被总初级生产力(GPP)与地形和气候变化密切相关,开展长白山自然保护区GPP的时空变化特征以及影响因子研究,对于了解植被生长状况和生态环境质量具有重要意义。本研究采用光能利用率模型(VPM)对长白山自然保护区GPP进行估算,并分析坡度、海拔、气温、降水、总辐射对其的影响。结果表明:2000—2020年,长白山自然保护区GPP多年平均值为63~1706 g C·m^(-2)·a^(-1),GPP随海拔的增加而减小。气温是影响长白山自然保护区植被GPP空间分布差异的主要因素,其与GPP之间存在显著正相关性。研究期间,长白山自然保护区年GPP整体呈极显著增加趋势,年均增加值为13 g C·m^(-2)·a^(-1)。年GPP增加的区域占总区域的79.9%,且各植物功能型年GPP增加面积的比例存在差异。年降水与长白山自然保护区43.2%区域的GPP呈显著负相关,而年均温和年总辐射分别与长白山自然保护区47.2%和82.4%区域的GPP呈显著正相关。在未来全球气候变暖的背景下,长白山自然保护区GPP将会持续增加。
基金National Natural Science Foundation of China(41375025)863 Program(2012AA120903,2011AA12A104-3)+2 种基金Public Welfare Research Foundation of China Meteorological Administration(GYHY201106044,GYHY201106045)Meteorological Application Demonstration Project(E310/1112)4th and 5th GOSAT/TANSO joint research Project 2013-2015
文摘The variation of the atmospheric Carbon Dioxide （CO2） concentration plays an important role in global cli- mate and agriculture. We analyzed the spatial-temporal characteristics of CO2 in the China region and around the globe with the CO2 column mixing ratios observed by the Japanese GOSAT satellite （Greenhouse Gases Observing Satellite）. In order to make sure that the accuracy of the CO2 data retrieved by the satellite meets the needs of the climate charac- teristics analyses, we ran a validation on the CO2 column mixing ratios retrieved by the satellite against the ground-based TCCON （Total Carbon Column Observing Network） observation data. The result shows that the two sets of data have a correlation coefficient of higher than 0.7, and a bias of within 2.2 ppmv. Therefore, the GOSAT CO2 da- ta can be used for the climate characteristics analysis of global CO2. Our analysis on the spatial-temporal characteristics of the CO2 column mixing ratios observed during the period of June 2009 through January 2014 proved that, with the impact of the natural emission of near ground CO2 and human activities, the global CO2 concentration has a significant latitudinal characteristics with its highest level averaging 390 oomv in the 0-40？N latitudinal zone in the Northern Hemisphere, and 387 ppmv in the Southern Hemisphere. China has a relatively higher CO2 concentration with the highest level exceeding 398 ppmv, and the eastern area higher than the western area. The variation of global CO2 concentration shows a seasonal pattern, i.e. the CO2 concen- tration reaches its highest in spring in the Northern Hemisphere averaging more than 392 ppmv, second highest in win- ter, and lowest in summer averaging less than 387 ppmv. It fluctuates the most in the Northern Hemisphere with an av- erage concentration of 392.5 ppmv in April, and 385.5 ppmv in July. While in the Southern Hemisphere, the seasonal fluctuation is smaller with the highest concentration occurring in July. Over the recent years, the global CO2 concent
文摘长白山阔叶红松林是我国目前温带面积最大、保护最为完整的森林生态系统之一。森林凋落物作为森林地上净生产量回归土壤的主要方式,是森林生态系统养分归还的重要途径。森林凋落物研究对于理解森林碳循环以及预测其对气候变化的响应都有着极为重要的意义。作为中国生态系统研究网络(Chinese Ecosystem Research Network,CERN)和国家野外科学观测研究站网络(National Ecosystem Research Network of China,CNERN)成员,长白山森林生态系统定位研究站按照CERN的统一规范,在长白山阔叶红松林野外永久样地安装10个凋落物框,长期对其进行凋落物回收量监测。本数据集通过整理和统计,汇总了2011-2020年长白山阔叶红松林凋落物各组分(枯枝、枯叶、落果(花)、树皮、苔藓地衣及杂物的干重)回收量月动态及现存量年动态数据,并包含了相关的数据集构建过程信息,数据集可为森林生态和土壤研究提供基础。
