长白山阔叶红松林表层土壤木本植物细根生物量及其空间分布

2008年在长白山北坡原始阔叶红松林内选择3块50 m×50 m样地,采用地统计学方法对表层土壤中木本植物细根生物量及其分布特征进行了定量研究.结果表明：3块样地0～20 cm土层中木本植物活细根生物量分别为3.195、1.930和2.058 t·hm^-2,死细根生物量分别为0.971、0.581和0.790 t·hm^-2,0～10 cm土层中,死、活细根生物量之间无显著相关关系,而10～20 cm土层中,二者呈显著正相关关系(r=0.352,P<0.05）,死、活细根生物量的实际变异函数大多符合球状理论模型.空间自相关引起的空间异质性占总空间异质性的百分比平均大于70%,各样地活、死细根生物量变程分别为5.2、14.6、9.8 m和4.3、20.4、20.1 m.采用贝叶斯统计方法对3块样地活细根生物量空间自相关范围进行估计的结果与地统计学方法的统计结果一致.     

二氧化碳储存通量对森林生态系统碳收支的影响

涡度相关系统观测高度以下的CO₂储存通量对准确评价森林生态系统与大气间净CO₂交换量（NEE）有着重要的影响.本研究以长白山阔叶红松林为研究对象,利用2003年的涡度相关观测数据以及CO₂浓度廓线数据,分析了CO₂储存通量的变化规律及其对碳收支过程的影响.结果表明：涡度相关观测高度以下的CO₂储存通量具有典型的日变化特征,其最大变化量出现在大气稳定与不稳定层结转换期.利用涡度相关系统观测的单点CO₂浓度变化方法与利用CO₂浓度廓线方法计算的CO₂储存通量差异不显著.忽略CO₂储存通量,在半小时尺度上会造成对夜间和白天的NEE分别低估25%和19%,在日和年尺度上,会对NEE低估10%和25%;忽略CO₂储存通量,会低估Michaelis-Menten光响应方程及Lloyd-Taylor呼吸方程的参数,并且对表观初始量子效率α和参考呼吸R_ref的低估最大;忽略CO₂储存通量,在半小时、日及年尺度上,均会对总光合作用（GPP）和生态系统呼吸（R_e）低估约20%.     

辽河三角洲河口湿地典型芦苇群落最大光能转化率模拟

CASA模型是研究宏观尺度净初级生产力最常用的模型之一,最大光能转化率是CASA模型的最关键参数,但他难以通过测量和试验获得,只能通过模拟求取。利用CASA模型反演了辽河三角洲河口湿地典型芦苇群落的最大光能转化率,并针对遥感和气象数据的可能误差对最大光能转化率的影响进行了敏感性分析。模拟结果表明:芦苇群落具有极高的碳转化能力,最大光能转化率达1.667g C/MJ,实际转化率达到0.957—1.102g C/MJ。敏感性分析结果显示最大光能转化率模拟值对总辐射和NDVI表现出较强的敏感性,由总辐射误差带来的最大光能转化率相对变化幅度仅为-4.14%—4.56%;模拟结果对NDVI的敏感性随着NDVI的增加而降低,即便是以误差30%考虑,模拟值仍然比较集中在样点的变化范围之内,这些结果表明模拟的芦苇最大光能转化率具有一定的稳定性和可靠性。     

Using approximate Bayesian computation to infer photosynthesis model parameters

We developed a method, namely Adaptive Population Monte Carlo Approximate Bayesian Computation (APMC), to estimate the parameters of Farquhar photosynthesis model. Treating the canopy as a big leaf, we applied this method to derive the parameters at canopy scale. Validations against observational data showed that parameters estimated based on the APMC optimization are un-biased for predicting the photosynthesis rate. We conclude that APMC has greater advantages in estimating the model parameters than those of the conventional nonlinear regression models.     

Effects of climate change on net primary productivity in Larix olgensis plantations based on process modeling

Aims Climate change has significant effects on net primary productivity (NPP) in forests, but there is a large uncertainty in the direction and magnitude of the effects. Process-based models are important tools for understanding the responses of forests to climate change. The objective of the study is to simulate changes in NPP of Larix olgensis plantations under future climate scenarios using 3-PG model in order to guide the management of L. olgensis plantations in the context of global climate change.Methods Data were obtained for 30 permanent plots of L. olgensis plantations in Siping, Linjiang, Baishan, etc. of Jilin Province, and a process model, 3-PG model, was applied to simulate changes in NPP over a rotation period of 40 years under different climate scenarios. Parameter sensitivity was also determined. Important findings The locally parameterized 3-PG model well simulates the changes in NPP against the measured NPP data, with values between 272.79-844.80 g·m^-2·a^-1 and both mean relative error and relative root mean square error within 12%. The NPP in L. olgensis plantations would increase significantly with increases in atmospheric CO₂ concentration, temperature and precipitation collectively. However, an increase in temperature alone would lead to a decrease in NPP, but increases in precipitation and atmospheric CO₂ concentration would increase NPP; the positive effect of increasing precipitation appears to be weaker than the negative effect of increasing temperature. Sensitivity analysis shows that the model performance is sensitive to the optimum temperature, stand age at which specific leaf area equals to half of the sum of specific leaf area at age 0 (SLA₀) and that for mature leaves (SLA₁), and days of production loss due to frost.     

Effects of precipitation intensity and temporal pattern on soil nitrogen mineralization in a typical steppe of Nei Mongol grassland

Aims Our objective is to: 1) explore the dynamics of soil nitrogen (N) mineralization in a grassland ecosystem in response to the changes in precipitation intensity and temporal distribution, and 2) identify the controlling factors.Methods The two study sites located in a typical steppe of the Nei Mongol grassland were fenced in 2013 and 1999, respectively. Our field experiment includes manipulations of three levels of precipitation intensity (increased 50%, decreased 50%, control) in three temporal patterns (increased or decreased precipitation for three years; increased or decreased precipitation for two years and no manipulation for one year; increased or decreased precipitation for one year and no manipulation for one year).Important findings 1) The soil net N mineralization and net nitrification rates decreased with changes in the temporal distributions of precipitation from one year to three years, with the maximum values of soil net N mineralization and nitrification rates observed in the treatments of increased or decreased precipitation for one year and no manipulation for one year (+PY1 or -PY1). This indicates that the high precipitation intensity and longer precipitation may have negative effects on soil net N mineralization and nitrification rates, while the moderate soilmoisture and temperature may stimulate soil mineralization. 2) The soil net N mineralization and nitrification rates, soil cumulative N mineralization, and nitrification in the fenced site in 1999 were higher than those in the site fenced in 2013, implying that a long-term enclosure may have promoted nutrient storage and soil quality restoration. 3) The long-term treatments of increased or decreased precipitation had significant effects on soil water content and temperature, whereas the short-term, discontinuous precipitation produced minor effects on soil moisture and temperature. Moreover, the controlling factors for soil N mineralization were different between the two fields. Soil moisture had a major effect on soil inorganic N content and net N mineralization rate in the site fenced in 2013, while soil temperature played a dominant role in the site fenced in 1999, with the net N mineralization rate depressed by higher soil moisture. Our findings suggest that the precipitation intensity and temporal distribution had important impacts on soil N mineralization in the Inner Mongolia grassland; these effects was site-dependent and particularly related to soil texture, community composition, and disturbance, and other factors.     

放牧家畜组合对高寒草地植物群落特征及生产力的影响

为明晰中等放牧强度下不同放牧家畜组合如何调控高寒草地地上净初级生产力,进而提高高寒草地管理水平,本研究以青藏高原东端高寒草地为对象,设置中等放牧强度下不同放牧家畜组合样地(牦牛、藏羊单独放牧及1∶2混合放牧)和不放牧样地,分析了不同放牧家畜组合下高寒草地植物群落特征、土壤理化性质及地上净初级生产力变化。结果表明：不同放牧家畜组合对物种丰富度与多样性指数无显著影响,但显著降低高寒草地植物群落的高度与盖度,并改变功能群重要值占比;藏羊单独放牧显著增加高寒草地土壤速效氮、磷含量以及土壤容重;放牧弱化高寒草地植物多样性对地上净初级生产力的调控作用并加强土壤环境因子的作用强度;牦牛、藏羊混合放牧时高寒草地地上净初级生产力、家畜采食量均最高。为提升高寒草地管理水平,建议基于中等放牧强度进行牦牛、藏羊适宜比例的混合放牧,采用植被-家畜-土壤耦合管理方式以实现高寒草地生态功能维持与可持续利用。     

内蒙古草原生态系统净初级生产力及其与气候的关系

该文在利用朱文泉等(2007)构建的基于光能利用率的净初级生产力(NPP)遥感估算模型对内蒙古草原生态系统1982-2006年的NPP进行估算的基础上, 选取包括降水量、温度、有效降水、有效温度和3种地表干湿度指数在内的气候指标, 充分考虑地表覆盖状况和气候因子的时滞和累积效应, 探讨了内蒙古草原生态系统NPP与气候因子之间的相互作用关系。结果表明, 以年为时间单位, 在年际水平上, 温度相关的各指标与年NPP的关系并不明显, 当年的气候条件对草原区植被的生长影响最大。以月为时间单位, 年内月气温和降水是影响NPP的重要因素。且所有植被类型区在年内月际水平上气候各指标对NPP的影响时效最大为1个月, NPP和各气候参量的关系时效也为1个月; 在年际水平上5-9月的NPP与降水、地表干湿度指数的互相关系数明显高于同温度各指标的互相关系数, 表明降水是影响内蒙古草原NPP的主要气候因子, 且降水的累积效应影响显著。不同植被类型区年际月NPP与降水指标之间的关系也各不相同。     

滤光膜对黄檗幼苗生物量及初级氮同化酶活性的影响

以日光为对照,采用红色、黄色、蓝色和绿色4种滤光膜遮光处理温室栽培的黄檗幼苗100 d,测定了不同光环境下幼苗生物量、叶片叶绿素含量、可溶性蛋白含量、硝酸还原酶（NR）活性及谷氨酰胺合成酶（GS）活性的变化.结果表明,4种滤光膜处理均抑制黄檗幼苗的生长,黄檗幼苗的全株生物量与日光下的差异均达到显著水平(P＜0.05).4种滤光膜对黄檗幼苗株高、茎径的影响与对全株生物量的影响相似;红膜和黄膜处理对黄檗幼苗根冠比影响不明显,蓝膜和绿膜处理明显抑制地下部分的生长（P＜0.05）;蓝膜、绿膜和红膜遮光的黄檗幼苗叶片叶绿素含量显著高于日光下的黄檗幼苗（P＜0.05）,以蓝膜处理最为突出;红膜处理增加了叶绿素a的比例,而蓝膜处理则使叶绿素a比例减少.经滤光膜遮光处理的黄檗幼苗可溶性蛋白含量均显著高于对照,且叶片NR和GS活性也显著高于日光下对照.     

极端干旱条件下锡林河流域羊草草原净生态系统碳交换特征

采用涡度相关法对2005年生长季内蒙古锡林河流域羊草(Leymus chinensis)草原净生态系统交换(Net ecosystem exchange, NEE)进行了观测。观测结果表明:作为生长季降雨量仅有126 mm的干旱年,锡林河流域羊草草原生态系统受到强烈的干旱胁迫,其净生态系统碳交换的日动态表现为具有两个吸收高峰,净吸收峰值出现在8∶00和18∶00左右。最大的CO₂吸收率为-0.38 mg CO₂·m^-2·s^-1,出现在6月底,与丰水年相比生态系统最大CO₂吸收率下降了1倍。就整个生长季而言,不管是白天还是晚上2005年都表现为净CO₂排放,整个生长季CO₂净排放量为372.56 g CO₂·m^-2,是一个明显的CO₂源。土壤含水量和土壤温度控制着生态系统CO₂通量的大小,尤其是在白天,CO₂通量和土壤含水量的变化呈现出显著的负相关关系,和土壤温度表现为正相关关系。