A comparison of measured and calculated net community CO2 exchange: Scaling from leaves to communities

Leaf net photosynthesis is crucial for detecting the mechanism of photosynthesis, whereas community net photosynthesis is useful for understanding the photosynthetic capacity of communities and its relationship with environmental factors. In particular, we need to scale up eco-physiological models from leaf scale to canopy level to study carbon cycling at regional or global scale. We hypothesized that accumulated leaf net photosynthetic rate (P_c) at community scale, i.e., calculated based on leaf net photosynthetic rate (P_n) and leaf area index (LAI), equals to measured net community CO₂ exchange (NCE). The purpose of this study is to verify this hypothesis. Our field study was carried out in Duolun, Nei Mongol, China, where we constructed single-species communities by sowing Medicago sativa ‘Aohan’ seeds in three plots (3 m × 5 m) on May 30, 2012. On August 16, 2014, P_n of five healthy leaves of M. sativa ‘Aohan’ in each plot were measured with a LI-6400 portable photosynthesis system at 10:00, and net ecosystem CO₂ exchange (NEE) in each plot was measured simultaneously with a LI-8100 system connected with a assimilation chamber (0.5 m × 0.5 m × 0.5 m). P_c was calculated based on P_n, number of leaves (n), LAI percentage of healthy leaves (r) and percentage of received effective light by leaves (m). NCE was derived from NEE and ecosystem respiration rate (R_eco). P_c was 3.52 μmol CO₂·m^-2·s^-1, and very close to NCE (3.56 μmol CO₂·m^-2·s^-1), suggesting that leaf-scale photosynthesis may accurately predict community-scale photosynthesis. However, our method could not separate community respiration from soil respiration, and future studies, should be designed to counteract this effect. Scaling up from leaf photosynthesis to community photosynthesis should also consider vertical structure of communities and nonlinear responses of leaf photosynthesis to changes in light quantum.     

Revised algorithm of ecosystem water use efficiency for semi-arid steppe in the Loess Plateau of China

Aims We evaluated the applicability of different measures of water use efficiency through analyzing the coupled dynamics of GPP and evapotranspiration in the semi-arid steppe in the Loess Plateau of China. Our objective is to explore the applicability of two quantitative measures of ecosystem water use efficiency—inherent water use efficiency (IWUE) and underlying water use efficiency (uWUE) —for the semi-arid steppe and to endeavor necessary modifications.Methods The consistency and stability of three indices of water use efficiency formulations (i.e. WUE, IWUE, uWUE) were calculated and compared at hourly, daily and annual time scales before proposing an optimal water use efficiency (oWUE). These indices were additionally used to quantify their importances in modeling the diel change of gross primary production (GPP). The yielded-accuracy of the prediction was used for justifying their uses.Important findings IWUE and uWUE appeared suitable for examining the coupled water-carbon characteristics of vegetation at hourly and daily scales, whereas WUE was more plausible on the annual and interannual scales. The optimized water use efficiency index did not improve the prediction of the coupled water-carbon characteristics as compared with uWUE, but it improved the prediction of GPP and its dynamics. oWUE and uWUE improved the predictions of GPP in the peak growing period, while WUE predicted the GPP better at the early and late growing season. Interestingly, we found that IWUE was not suitable for predicting GPP and its dynamics. The results will be of great importance in modeling the effects of climate change on the carbon assimilation and water cycle for the future.     

Correlation between vein density and water use efficiency of Salix matsudana in Zhangye Wetland,China

Aims The correlation between vein density and water use efficiency (WUE) affects the balance between water supply and demand of plant leaves, which is significant for comprehending the ecological adaptation strategies of plants. The objective of this study was to study how Salix matsudana modulated vein density and WUE along a soil moisture gradient in Zhangye Wetland, China. Methods The study was conducted in floodplain wetland near Heihe River in Zhangye City, Gansu Province, China. Three sample plots, at a spatial interval of 70 m, were set up along a soil moisture gradient ordinally from the area near the water body to the wetland edge, plot I (69.23%), spot II (48.38%) and spot III (35.27%). Community traits were investigated by using diagonal method, and all individuals of S. matsudana were used for measurements of height and canopy. At each plot, 5 individuals of S. matsudana at 4 vertices and diagonal intersection were selected for measurements of vein density, WUE, net photosynthetic rate (P_n), transpiration rate (T_r), photosynthetically active radiation (PAR), saturated vapor pressure differences (VPD), specific leaf area, stomatal conductance (G_s) and intercellular CO₂ concentration (C_i). We used mathematical methods of correlation analysis and standardized major axis to investigate relationships between vein density and WUE. Important findings With decreasing soil moisture, the height, canopy, specific leaf area, G_s and C_i of S. matsudana decreased gradually, while the vein density, WUE, P_n, T_r, PAR and VPD increased gradually. The correlation between vein density and WUE was positive in all the three plots, but the relationship varied along the soil moisture plots gradient. There was a highly significant positive correlation (p < 0.01) between the vein density and WUE at plot I and III, whereas the correlation only reached a significant level (p < 0.05) at plot II; The correlation coefficient between vein density and WUE is significantly smaller than 1 at plot I (p < 0.05), while the correlation coefficient is significant greater than 1 at plot II and III (p < 0.05). We can conclude that varied relationships between vein density and WUE of S. matsudana along a soil moisture gradient could reflect plant acclimation.     

叶片和群落尺度净光合速率关系的探讨

叶片净光合速率(P_n)是研究光合作用机理的基本尺度; 而群落净光合速率(P_c)是研究群落光合能力及其与外部环境因子间关系的更好尺度, 特别是区域乃至全球尺度碳循环的研究, 需要将叶片尺度的生理生态模型扩展到冠层尺度。理论上, 群落内所有叶片的累积P_n与实测群落净气体交换速率(NCE)是相等的, 但在野外实际观测中, 两者之间的相互关系目前尚未见报道。该文选取敖汉苜蓿(Medicago sativa ‘Aohan’)人工草地, 采用美国LI-COR公司生产的便携式光合测定系统LI-6400测定P_n, 结合叶面积指数等参数推算P_c, 利用LI-8100连接同化箱测定生态系统净气体交换速率(NEE), 加上土壤呼吸速率, 得到NCE。结果表明: P_c为3.52 μmol CO₂·m^-2·s^-1, 与实测NCE (3.56 μmol CO₂·m^-2·s^-1)基本相等。这表明: 可利用P_n, 结合叶面积指数、群落叶片数目、健康叶片比例和群落可接收有效光照的平均比例等4个关键参数, 准确地换算P_c。然而, 利用同化箱式法测定群落呼吸速率时, 不可避免地会包含土壤呼吸, 所以在观测NCE时, 需要同时测定土壤呼吸。此外, 在冠层模型中, 群落垂直结构和光量子的非线性响应不可忽视。     

Carbon stock and seasonal dynamics of carbon flux in warm-temperature tussock ecosystem in Shandong Province,China

了解山东省草地生态系统碳库现状和碳通量变化规律对于全国尺度草地生态系统碳源/汇核算有着重要的意义。该研究采用野外面上调查取样和固定加强点静态箱法(LI-840红外分析仪联用)相结合的方法, 分析了山东省暖性草丛生态系统的固碳现状、碳通量季节动态以及净生态系统CO₂交换(NEE)对各种环境因子的响应。研究结果表明: 山东暖性草丛生态系统平均碳密度为2.74 Mg C·hm ^-2, 碳密度的构成排序为土壤碳密度(89%) >生物量碳密度(9%) >凋落物碳密度(2%), 山东暖性草丛碳库总储量约为15.88 Tg C; 结缕草(Zoysia japonica)暖性草丛生态系统NEE的季节动态总体表现为夏季低, 冬季高, 非生长季节(11月至次年4月)向外界净排放CO₂, 表现为碳源效应; 生长季节(4-9月)则为净吸收CO₂ , 表现为碳汇效应, 峰值月份的平均固碳速率在-2.58- -4.46 μmol CO₂·m ^-2·s ^-1之间; 2012和2013年泰山小流域暖性草丛NEE年平均值分别为-0.43 μmol CO₂·m ^-2·s ^-1和-0.31 μmol CO₂·m ^-2·s ^-1, 都表现为碳汇效应; 光合有效辐射(PAR)、大气温度(T_a)、饱和水汽压差(VPD)和土壤10 cm深度温度(T_s)和含水量(W)是结缕草暖性草丛生态系统NEE动态的主要影响因素, 但不同月份NEE动态的影响因素各异, 且因子间存在着互作效应, 主成分分析表明, NEE的季节动态主要受温度、水分和光强等因子控制。     

Alpine grassland water use efficiency based on annual precipitation,growing season precipitation and growing season evapotranspiration

Water use efficiency (WUE) is an important parameter to understand the coupling between the water, and carbon cycles of terrestrial ecosystems. Previous studies on the grassland ecosystem WUE on the Qinghai-Xizang Plateau mainly based on annual precipitation (AP). However, vegetation water use mainly occurs in growing season. Therefore, we aimed to explore the differences of ecosystem WUE between alpine meadow and alpine steppe, and the relationships between ecosystem WUE and environmental factors from 2000 to 2010, using annual precipitation use efficiency (PUE_a), growing season precipitation use efficiency (PUE_gs), growing season water use efficiency (WUE_gs) based on AP, growing season precipitation (GSP) and growing season evapotranspiration (ET_gs ) respectively. Combining satellite-derived above-ground net primary productivity (ANPP), satellite-derived evapotranspiration and meteorological data from 2000 to 2010, we calculated PUE_a (ANPP / AP), PUE_gs (ANPP / GSP) and WUE_gs (ANPP / ET_gs) to find the differences of PUE_a, PUE_gs and WUE_gs between alpine meadow and alpine steppe. Moreover, we explored the relationships between PUE_a, PUE_gs or WUE_gs and precipitation (or evapotranspiration) or air temperature. We found that (1) the PUE_a and PUE_gs of alpine meadow were higher than that of alpine steppe, but there were no significant difference between WUE_gs of the two grassland types, indicating that there may be similar intrinsic water use efficiencies of the two grassland types. (2) The inter-annual variation of PUE_a and PUE_gs were similar while WUE_gs showed a larger fluctuation, implying that ET-based WUE_gs was more sensitive than precipitation-based PUE_a and PUE_gs, therefore WUE_gs is a better indicator of ecosystem water use efficiency than PUE_a or PUE_gs. (3) The PUE_a, PUE_gs and WUE_gs were negatively correlated with AP, GSP and ET_gs respectively, reflecting a consistency of the three water use efficiency measurements. In the alpine steppe, only WUE_gs was observed positively correlated with air temperature among the three measurements, but in the alpine meadow, no significant relationships between water use efficiency and air temperature was detected, suggesting that the WUE_gs of alpine steppe was more sensitive to air temperature than that of alpine meadow.     

Spatio-temporal characteristics of vegetation water use efficiency and their relationships with climatic factors in alpine and subalpine area of southwestern China

水分利用效率(WUE)是深入理解生态系统水碳循环及其耦合关系的重要指标。为了揭示气候变化背景下区域尺度不同植被类型的响应和适应特征, 对中国西南高山亚高山地区2000-2014年的9种植被类型的WUE时空特征及其影响因素进行探究。该研究基于MODIS总初级生产力(GPP)、蒸散发(ET)数据和气象数据, 估算西南高山亚高山区植被WUE, 采用趋势分析及相关分析等方法, 分析了研究区植被WUE与气温、降水及海拔的关系。主要结果: (1)西南高山亚高山区2000-2014年植被WUE多年均值为0.95 g·m^-2·mm^-1, 整体呈显著增加趋势, 增速为0.011 g·m^-2·mm^-1·a^-1; 空间上WUE呈东南高西北低的分布, 85.84%区域的WUE呈增加趋势。(2)西南高山亚高山区各植被类型WUE多年均值表现为常绿针叶林>稀树草原>常绿阔叶林>有林草原>农田>落叶阔叶林>混交林>郁闭灌丛>草地; 时间上, 各植被类型WUE均呈上升趋势。(3)西南高山亚高山区89.56%区域的WUE与气温正相关, 92.54%区域的WUE与降水量负相关; 各植被类型中, 草地WUE与气温的相关性最高, 有林草原WUE与降水量的相关性最高。(4)西南高山亚高山区典型的地带性顶极植被常绿针叶林的WUE具有较强的海拔适应性及应对气候变化的能力。     

Dynamics and regulations of ecosystem light use efficiency in a broad-leaved Korean pine mixed forest,Changbai Mountain

Aims Ecosystem light use efficiency (LUE) reflects the ability of CO₂ uptake and light utilization via photosynthesis, which is a key parameter in ecosystem models to evaluate ecosystem productivity. The objectives of this study were to: (1) compare the differences of LUE derived from different methods; (2) elucidate the seasonal dynamics of LUE and its regulatory factors; and (3) evaluate the maximum LUE (LUE_max) and its variability based on eddy-covariance (EC) flux.Methods Using the flux data from an EC tower during 2003-2005 at a broad-leaved Korean pine (Pinus koraiensis) mixed forest, Changbai Mountain, two types of LUE indicators were generated from: 1) the apparent quantum yield (ε) estimated with rectangular hyperbolic curve, and 2) the ecological light use efficiency (LUE_eco) calculated as the ratio between gross ecosystem productivity (GEP) and photosynthetically-active radiation (Q).Important findings The seasonal variation of ε and LUE_eco appeared a unimodal pattern within a year, with the variations significantly dominated by soil surface temperature and Normalized Difference Vegetation Index (NDVI). A positive correlation between GEP and LUE was found for both ε and LUE_eco, with the effect of Q on LUE relatively weak. The increase in diffusion radiation appeared favorable for enhanced LUE. Generally, there was a significant positive relationship between ε and LUE_eco, while ε was higher than LUE_eco, especially during the mid-season. The annual maximum value of ε and LUE_eco was (0.087 ± 0.003) and (0.040 ± 0.002) μmol CO₂·μmol photon^-1 over the three years, respectively. The interannual variability of LUE_max for ε and LUE_eco was 4.17% and 4.25%, respectively, with a maximum difference of >8%, likely resulted from considerable uncertainty in model simulations. Our results indicated that the inversion and optimization of maximum LUE should be taken seriously in the application of LUE models.     

油蒿资源利用效率在生长季的相对变化及对环境因子的响应

为了探明西北半干旱区典型沙生植物油蒿(Artemisia ordosica)叶水平资源利用效率的相对变化及对环境因子的响应机制, 该研究于2018年5-10月, 使用LI-6400XT便携式光合仪测定了毛乌素沙地油蒿叶片的净光合速率(P_n)、蒸腾速率(E)、叶表面光合有效辐射(PAR_l)、叶表面温度(T_l)、叶表面相对湿度(RH_l), 在实验室计算叶片单位面积氮含量(N_area), 分析了叶片氮利用效率(NUE)、水分利用效率(WUE)、光利用效率(LUE)与环境因子之间的关系及NUE、WUE、LUE之间的相对变化。研究结果表明, 在充足且稳定光强下油蒿的P_n主要受温度的影响, NUE、WUE与VPD_l、T_l之间具有显著负相关关系, NUE、WUE与LUE间为正相关关系, NUE、WUE和LUE最大值分别发生在5、7和9月, 分别为9.43 μmol CO₂·g^-1·s^-1、3.86 mmol·mol^-1、0.04 mol·mol^-1, 资源利用效率的变化主要受P_n的影响。温度通过影响植物N分配来改变P_n, 进而影响着资源利用效率, WUE与LUE显著正相关, 对构建荒漠区生态系统能量交换过程模型有重要意义。     

Effects of experimental warming on net ecosystem CO2 exchange in Northern Xizang alpine meadow

AimsGlobal warming could have profound effects on ecosystem carbon (C) fluxes in alpine ecosystems. The aim of our study is to examine the effects of gradient warming on net ecosystem carbon exchange (NEE).MethodsIn the Northern Tibetan Grassland Ecosystem Research Station (Nagqu station), Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, we conducted various levels of temperature increasing experiments (i.e., 2 °C and 4 °C increments). The warming was achieved using open-top chambers (OTCs). In total, there were three levels of temperature treatments (control, 2 °C and 4 °C increment), and four replicates for each treatment. The ecosystem NEE was monitored every five days during the growing season in 2015.Important findings Our findings highlight the importance of soil moisture in mediating the responses of NEE to climatic warming in alpine meadow ecosystem. The 4 °C warming significantly stimulated NEE,except for July measurements. The 2 °C warming had no effects on NEE during the growing season. Compared to the 2 °C warming, the 4 °C warming significantly stimulated NEE. The results showed that our targeted ecosystem acts as a carbon sink under 2 °C warming, whereas will act as a net carbon source under 4 °C warming in the future. This study provides basic data and theoretical basis for evaluating the alpine ecosystem’s responses to climate change.     

阴天和晴天对黄河三角洲芦苇湿地净生态系统CO2交换的影响

云量以及大气气溶胶含量变化引起的阴天和晴天会对局地的微气候环境产生综合效应, 影响地面接收的太阳辐射强度, 同时引起环境因子的变化, 最终对净生态系统CO₂交换(NEE)产生影响。该文通过涡度相关系统以及微气象梯度观测系统, 对黄河三角洲芦苇(Phragmites australis)湿地NEE以及环境要素进行了观测。在自然条件下选择12对相邻阴天和晴天数据, 在生物要素(生物量、叶面积指数)、土壤水分以及养分特征保持不变的前提下, 揭示了阴天和晴天变化对湿地生态系统NEE的光响应和温度响应的影响。结果表明: 12对阴天和晴天生态系统NEE的日平均动态均呈“U”型曲线, 但阴天NEE的变幅较小。晴天条件下湿地生态系统NEE的日均值显著高于阴天(p < 0.01)。阴天和晴天湿地生态系统NEE与光合有效辐射(PAR)之间均呈直角双曲线关系, 但晴天条件下, 最大光合速率(A_max)显著大于阴天(p < 0.01), 同时白天生态系统呼吸(R_eco,daytime)也显著大于阴天(p < 0.01)。不论阴天还是晴天, R_eco,daytime与气温均呈显著的指数关系。晴天湿地生态系统呼吸的温度敏感系数Q₁₀ (5.5)远大于阴天(1.9)。阴天和晴天昼间PAR差值以及气温差值对NEE差值的协同影响达到63%。     

Remote sensing estimation of gross primary productivity and its response to climate change in the upstream of Heihe River Basin

AimsQuantifying the gross primary productivity (GPP) of vegetation is of primary interest in studies of global carbon cycle. This study aims to optimize the MODIS GPP model for specific environments of a fragile waterhead ecosystem, by performing simulations of long-term (from 2001 to 2012) GPP with optimized MOD_17 model, and to analyze the response of GPP to the local climatic variations.Methods The original MODIS GPP products that underestimate GPP were validated against two years (2010-2011) of eddy covariance (EC) data at two sites (i.e. an alpine pasture site and a forest site, respectively) in the upstream of Heihe River Basin. Three comparative experiments were then conducted to analyze the effects of input parameters derived from three sources (i.e. meteorological, biome-specific, and fraction of absorbed photosynthetically active radiation (fPAR) parameters) on the model behavior. After refining the model-driven parameters, long-term GPPs of the study area were estimated using the optimized MOD_17 model, and the Least Absolute Deviation method was applied to analyze the partial correlations between interannual GPPs and climatic variables (temperature, precipitation and vapor pressure deficit (VPD)). Important findings The uncertainties in the original MODIS GPP products are attributable to biome-specific parameters, input data (e.g. meteorological and radiometry data) and vegetation maps. At the pasture site, the light use efficiency had the strongest impact on the GPP simulations. The refined fPAR calculated from the leaf area index (LAI) products of Global Land Surface Satellite (GLASS) greatly improved the GPP estimates, especially at the forest site. The GPPs from the optimized MOD_17 model well matched the EC data (R² = 0.90, root mean squared error (RMSE) = 1.114 g C·m^-2·d^-1 at the alpine pasture site; R² = 0.91, RMSE = 0.649 g C·m^-2·d^-1 at the forest site). The time series of GPPs displayed an up trend at an average rate of 9.58 g C·m^-2·a^-1 from 2001 to 2012. Examination of the partial correlations between interannual GPPs and climatic variables showed that the annual mean temperature and VPD generally had significant positive impacts on GPP, and the annual precipitation had a negative impact on GPP.     

早春和夏季氮磷添加对内蒙古典型草原退化群落碳交换的影响

过度放牧导致的养分“入不敷出”是我国天然草地大面积退化的主要原因之一, 而草地退化又显著影响了草原生态系统的固碳功能。能否通过补充土壤养分来恢复退化草地的固碳功能, 迄今相关研究较少。净生态系统碳交换(NEE)、生态系统呼吸(ER)和生态系统总初级生产力(GEP)是表征生态系统碳循环的重要指标。氮(N)和磷(P)是中国典型草原的主要限制性养分元素, 而草地退化进一步加剧了养分的限制。在退化草地上添加氮磷对碳循环的上述过程(NEE、ER和GEP)有何影响, 以及两种养分之间是否存在互作, 目前尚不清楚。为此, 该研究以内蒙古典型草原的退化草地为研究对象, 选择早春融雪期(4月)和夏季生长期(7月)两个时间节点, 设置不施肥(CK)、N添加(10.5 g·m^-2·a^-1, NH₄NO₃)、P添加(7 g·m^-2·a^-1, KH₂PO₄)和N、P共同添加((10.5 g N + 7 g P)·m^-2·a^-1) 4个养分处理, 探究早春和夏季氮磷添加对内蒙古典型草原退化群落碳交换的影响及其互作机制。结果表明: 1)在早春和夏季两个时期, 单独添加N或P对生态系统碳交换过程的影响均未达到显著水平, 而氮磷共同添加可显著提高NEE和GEP。2)早春(4月份)氮磷共同添加对NEE、ER和GEP的互作机制表现为正协同效应, 而夏季(7月份)氮磷共同添加对NEE、ER和GEP的互作机制表现为加性效应。为了恢复退化的典型草原的固碳功能, 氮磷共同添加比单一元素添加效果好, 且早春添加优于夏季添加。该研究对指导退化草地的恢复具有参考价值。     

Relationship between photochemical reflectance index with multi-angle hyper-spectrum and light use efficiency in urban green-land ecosystems

Aims Light-use efficiency (LUE) is one of critical parameters in the terrestrial ecosystem production studies. Accurate determination of LUE is very important for LUE models to simulate gross primary productivity (GPP) at regional and global scales. We used eddy covariance technique measurement and tower-based, multi-angular spectro-radiometer observations in autumn 2012 to explore the relationship between bidirectional reflectance distribution function (BRDF) corrected photochemical reflectance index (PRI) and LUE in different phenology and environment conditions in urban green-land ecosystems. Methods Using the eddy covariance technique, we estimated the temporal changes in GPP during the autumn 2012 over Beijing Olympic Forest Park. LUE was calculated as the ratio of GPP to the difference between incoming photosynthetically active radiation (PAR) and PAR reflected from the canopy. Daily PRI values were averaged from the BRDF using semi-empirical kernel driven models. The absolute greenness index (2G_RB) was made by webcam at a constant view zenith and view azimuth angle at solar noon. The logistic function was used to fit the time series of the greenness index. The onset of phonological stages was defined as the point when the curvature reached its maximum value. Important findings Webcamera-observed greenness index (2G_RB) showed a decreasing trend. There was a highly significant relationship between 2G_RB and air temperature (R² = 0.60, p < 0.001). This demonstrates that air temperature is the main driving factor to determine the phenology. PRI estimated from multi-angle hyper-spectrum can estimate LUE in urban green-land ecosystems in vigorous photosynthetic period. The correlation was the strongest (R² = 0.70, p < 0.001) in the peak photosynthetic period. PRI relates better to LUE under high temperature (>15 °C) with high vapour pressure deficit (VPD) (>700 Pa) and high PAR (>300 μmol·m^-2·s^-1). The LUE was up-scaled to landscape/regional scales based on these relationships and phenology. It can also be used for the estimation of GPP of urban green-land with high accuracy.     

2000-2017年新疆天山植被水分利用效率时空特征及其与气候因子关系分析

水分利用效率(WUE)是衡量生态系统碳水循环耦合程度的重要指标, 估算新疆天山及南北主要绿洲的植被WUE并分析其时空变化规律, 探索其影响因素, 对该区域生态系统保护、农业水资源的合理利用与开发等方面具有重要的意义。基于MODIS遥感数据、气象数据和土地利用类型数据, 分析新疆天山近18年植被WUE时空变化特征以及与气候因子的关系。结果表明: (1) 2000-2017年新疆天山植被WUE变化范围为0.84-1.34 g·mm ^-1·m ^-2, 多年均值为1.11 g·mm ^-1·m ^-2, 整体呈减少趋势, 变化率为-0.014 1 g·mm ^-1·m ^-2·a ^-1; 空间分布具有较强的垂直地带性规律, 1 000 m以上的区域随着海拔的升高而减少。(2)植被WUE年内变化呈单峰型变化格局, 具有明显的季节性差异, 表现为: 夏季>春季>秋季>冬季。(3)相关分析和统计结果表明, 新疆天山植被WUE时空变化受到气温影响的区域占33.23%, 受降水影响的区域占8.57%, 受气温和降水综合强影响的区域占5.63%, 气温和降水综合弱影响的区域占13.13%; 因此气候因素中气温在新疆天山植被WUE的变化中起到主导作用。(4)水田与旱地水分利用效率随着时间变化呈持续减少趋势, 并且这些区域基本上受到非气候因子的影响, 说明当地人类活动存在不合理性。     

山东省暖性草丛生态系统碳库现状和碳通量季节变化特征

了解山东省草地生态系统碳库现状和碳通量变化规律对于全国尺度草地生态系统碳源/汇核算有着重要的意义。该研究采用野外面上调查取样和固定加强点静态箱法(LI-840红外分析仪联用)相结合的方法, 分析了山东省暖性草丛生态系统的固碳现状、碳通量季节动态以及净生态系统CO₂交换(NEE)对各种环境因子的响应。研究结果表明: 山东暖性草丛生态系统平均碳密度为2.74 Mg C·hm ^-2, 碳密度的构成排序为土壤碳密度(89%) >生物量碳密度(9%) >凋落物碳密度(2%), 山东暖性草丛碳库总储量约为15.88 Tg C; 结缕草(Zoysia japonica)暖性草丛生态系统NEE的季节动态总体表现为夏季低, 冬季高, 非生长季节(11月至次年4月)向外界净排放CO₂, 表现为碳源效应; 生长季节(4-9月)则为净吸收CO₂ , 表现为碳汇效应, 峰值月份的平均固碳速率在-2.58- -4.46 μmol CO₂·m ^-2·s ^-1之间; 2012和2013年泰山小流域暖性草丛NEE年平均值分别为-0.43 μmol CO₂·m ^-2·s ^-1和-0.31 μmol CO₂·m ^-2·s ^-1, 都表现为碳汇效应; 光合有效辐射(PAR)、大气温度(T_a)、饱和水汽压差(VPD)和土壤10 cm深度温度(T_s)和含水量(W)是结缕草暖性草丛生态系统NEE动态的主要影响因素, 但不同月份NEE动态的影响因素各异, 且因子间存在着互作效应, 主成分分析表明, NEE的季节动态主要受温度、水分和光强等因子控制。     

植被光合呼吸模型在千烟洲亚热带常绿针叶林的优化及验证

碳循环模型参数的确定和优化对生态系统净CO₂交换(NEE)的模型计算至关重要。该文利用2010-2012年ChinaFLUX千烟洲站点的通量观测资料, 对植被光合呼吸模型(VPRM)的参数进行了优化。通过比较两种不同的拟合方案, 发现利用传统光响应方程得到的参数不适用于VPRM, 而利用模型自身反演方案拟合得到的参数最大光量子效率(λ)达0.203, 大于C₃植物平均值, 但与其他相关研究结果吻合。采用VPRM模型反演方案优化得到的参数后, VPRM能较准确地模拟千烟洲站不同季节的NEE。其对全年半小时NEE模拟的平均误差为-0.86 μmol·m^-2·s^-1, 相关系数为0.72。模型可准确地模拟生长旺季NEE平均日变化, 但低估了非生长旺季白天吸收峰值约52%。通过个例分析发现, VPRM模型可以准确模拟晴天条件下NEE的时间变化, 但对阴雨天条件下NEE的模拟还存在较大的不确定性。该研究将有助于进一步改进CO₂通量及浓度的区域数值模拟。     

Application and comparison of remote sensing GPP models with multi-site data in China

Aims Estimation of gross primary productivity (GPP) of vegetation at the global and regional scales is important for understanding the carbon cycle of terrestrial ecosystems. Due to the heterogeneous nature of land surface, measurements at the site level cannot be directly up-scaled to the regional scale. Remote sensing has been widely used as a tool for up-saling GPP by integrating the land surface observations with spatial vegetation patterns. Although there have been many models based on light use efficiency and remote sensing data for simulating terrestrial ecosystem GPP, those models depend much on meteorological data; use of different sources of meteorological datasets often results in divergent outputs, leading to uncertainties in the simulation results. In this study, we examines the feasibility of using two GPP models driven by remote sensing data for estimating regional GPP across different vegetation types. Methods Two GPP models were tested in this study, including the Temperature and Greenness Model (TG) and the Vegetation Index Model (VI), based on remote sensing data and flux data from the China flux network (ChinaFLUX) for different vegatation types for the period 2003-2005. The study sites consist of eight ecological stations located in Xilingol (grassland), Changbaishan (mixed broadleaf-conifer forest), Haibei (shrubland), Yucheng (cropland), Damxung (alpine meadow), Qianyanzhou (evergreen needle-leaved forest), Dinghushan (evergreen broad-leaved forest), and Xishuangbanna (evergreen broad-leaved forest), respectively. Important findings All the remote sensing parameters employed by the TG and VI models had good relationships with the observed GPP, with the values of coefficient of determination, R², exceeding 0.67 for majority of the study sites. However, the root mean square errors (RMSEs) varied greatly among the study sites: the RMSE of TG ranged from 0.29 to 6.40 g·m^-2·d^-1, and that of VI ranged from 0.31 to 7.09 g·m^-2·d^-1, respectively. The photosynthetic conversion coefficients m and a can be up-scaled to a regional scale based on their relationships with the annual average nighttime land surface temperature (LST), with 79% variations in m and 58% of variations in a being explainable in the up-scaling. The correlations between the simulated outputs of both TG and VI and the measured values were mostly high, with the values of correlation coefficient, r, ranging from 0.06 in the TG model and 0.13 in the VI model at the Xishuangbanna site, to 0.94 in the TG model and 0.89 in the VI model at the Haibei site. In general, the TG model performed better than the VI model, especially at sites with high elevation and that are mainly limited by temperature. Both models had potential to be applied at a regional scale in China.     

开垦对黄河三角洲湿地净生态系统CO2交换的影响

近年来, 由于对湿地的不合理利用, 自然湿地被大面积地垦殖为农田, 导致湿地生态系统碳循环的模式发生改变, 从而影响了湿地生态系统碳汇功能。该研究通过涡度相关法, 对山东省东营市黄河三角洲芦苇(Phragmites australis)湿地和开垦多年的棉花(Gossypium spp.)农田的净生态系统CO₂交换(NEE)进行了对比观测, 以探讨该地区典型生态系统NEE的变化规律及其影响因子, 揭示开垦对芦苇湿地NEE和碳汇功能的影响。结果表明: 在生长季, 湿地和农田生态系统NEE的日平均值各月均呈明显的“U”型变化曲线, 非生长季NEE的变幅很小。生长季湿地生态系统日最大净吸收值和释放值分别为16.04 g CO₂·m^-2·d^-1(8月17日)和14.95 g CO₂·m^-2·d^-1(8月9日); 农田生态系统日最大净吸收值和释放值分别为18.99 g CO₂·m^-2·d^-1 (8月22日)和12.23 g CO₂·m^-2·d^-1 (7月29日)。生长季白天两个生态系统NEE与光合有效辐射(PAR)之间呈直角双曲线关系; 非生长季NEE主要受土壤温度(T_s)的影响; 生态系统生长季夜间NEE受T_s和土壤含水量(SWC)的共同影响; 湿地和农田的生态系统呼吸熵(Q₁₀)分别为2.30和3.78。2011年生长季, 黄河三角洲湿地和农田生态系统均表现为CO₂的汇, 总净固碳量分别为780.95和647.35 g CO₂·m^-2, 开垦降低了湿地的碳吸收能力; 而在2011年非生长季, 黄河三角洲湿地和农田生态系统均表现为CO₂的源, CO₂总释放量分别为181.90和111.55 g CO₂·m^-2。全年湿地和农田生态系统总净固碳量分别为599.05和535.80 g CO₂·m^-2。     

基于年降水、生长季降水和生长季蒸散的高寒草地水分利用效率

水分利用效率是深入理解生态系统碳、水循环间耦合关系的重要指标。以前研究青藏高原的水分利用效率多基于年降水量(AP)来分析, 但植物对水分的利用主要在生长季。该研究采用以AP、生长季降水量(GSP)和生长季蒸散量(ET_gs)分别计算的年降水利用效率(PUE_a)、生长季降水利用效率(PUE_gs)和生长季水分利用效率(WUE_gs), 分析了2000-2010年间青藏高原两种主要植被类型高寒草甸和高寒草原PUE_a、PUE_gs和WUE_gs的差异及其与降水量、蒸散量和气温的关系。结果表明: (1)高寒草甸的PUE_a、PUE_gs均大于高寒草原, 但两种草地类型的WUE_gs无显著差别, 这说明两种草地类型可能存在相似的内在的水分利用效率。(2)从年际动态来看, PUE_a和PUE_gs的波动范围相似, 而WUE_gs的波动范围更大, 说明以蒸散为依据的WUE_gs可能比PUE_a和PUE_gs更敏感, 因而可能更好地反映生态系统的水分利用能力。(3)高寒草甸和高寒草原的PUE_a、PUE_gs和WUE_gs分别与AP、GSP和ET_gs呈单调递减趋势, 表明3种水分利用效率均随降水量或蒸散量的增加而降低。高寒草原的3种水分利用效率中仅WUE_gs随着气温的增加而增加, 而高寒草甸的3种水分利用效率均与气温无显著关系, 这说明相比高寒草甸, 高寒草原的水分利用效率对气温更加敏感。