祁连山亚高山灌丛林土壤呼吸速率的时空变化及其影响分析

采用美国Li-COR公司生产的LI-6400-09土壤呼吸室和LI-6400便携式光合作用测量系统,在2004年生长季节对祁连山亚高山灌丛林土壤呼吸速率进行了连续观测.结果表明:在整个生长季祁连山亚高山灌丛林土壤呼吸速率的空间变化为随着海拔梯度的增加,土壤呼吸速率逐渐减小,其变异系数逐渐增加;生长季节土壤呼吸速率晚间维持在较低水平,2:00-6:00最低,在7:00-8:30开始升高,11:00～6:00达到最大值,16:00～8:30开始下降,整个过程呈单峰曲线.土壤呼吸速率的日平均值介于(0.79±0.60)μmol·m^-2·s^-12.49±0.97μmol·m^-2·s^-1.土壤呼吸速率7⁸月份达到最大值(5.861μmol·m^-2·s^-1),5月与9月份次之,4月与10月份基本一致,整个生长过程总的变化趋势呈单峰曲线形式.亚高山灌丛林土壤呼吸的空间变异主要受温度、水分和植物根系的综合影响.     

森林地下碳分配(TBCA)研究进展

森林地下碳分配(TBCA)是森林碳循环的重要通量,对森林碳吸存有十分重要作用.TBCA是森林生态系统GPP中一个最大的汇,可占GPP的21%～61%,土壤呼吸的2/3来自TBCA.目前国际上常用的TBCA测定方法为碳平衡法,在假定地下碳库处于稳定状态时,TBCA可由土壤呼吸减去凋落物量获得,但该方法存在一系列问题.影响森林TBCA的因素有生产力、森林类型、树龄和森林演替阶段、土壤养分和水分有效性、林分密度和树种组成、气候变化因素等.TBCA中各个组成部分均较难以测定和量化,通常假定TBCA中根系呼吸与根系生产力各约占50%,而TBCA中菌根菌和根系分泌物的贡献则仍不清楚.有关TBCA各组分去向及影响机理的研究亦很少.TBCA未来的研究应致力于揭示TBCA的根本驱动因子和其对全球变化的响应机理,以及TBCA转化为土壤新碳的效率及控制因素;同时应提高TBCA测定方法的确定性,特别是应将碳同位素法、微根管法及碳平衡法三者相结合.     

放牧对内蒙古羊草群落土壤呼吸的影响

采用静态暗箱法,比较测定了放牧对内蒙古锡林河流域羊草群落土壤呼吸的影响以及水热等相关环境因子与土壤呼吸的关系。结果表明:放牧没有改变羊草群落土壤呼吸的季节性变化特征,但降低了土壤呼吸速率的年幅度;生长季放牧样地土壤呼吸速率显著低于封育样地,非生长季两样地土壤呼吸强度均处于较低水平,而且出现负通量的现象,放牧使羊草群落土壤呼吸年总量下降了约33.95％;从全年来看,无论是围栏还是放牧样地,封育样地和放牧样地土壤呼吸与温度因子均显著正相关(p<0.01,n=15),其中与10cm处地温相关性最好,但放牧降低了土壤呼吸对温度变化的敏感性;生长季水分影响作用高于温度,围栏封育样地0~10cm土壤含水量的变化可以解释土壤呼吸变异的87.4％,放牧样地10~20cm和20~30cm土壤含水量的变化共同可以解释土壤呼吸变异的74.9％。     

青藏高原高寒草原区域碳估测

CASA(Carnegie-Ames-Stanford Biosphere)模型是一个表征陆地生态系统水、碳素和氮素通量随时间变化的生态系统过程模型。本研究采用MODIS遥感数据与CASA模型相结合的方法计算了青藏高原高寒草原生态系统植被净初级生产力(NPP)总量为20.57×10¹²g·a^-1的碳。同时根据五道梁实验点上得到的经验关系估算了青藏高原高寒草原生态系统区域上的土壤碳排放(Heterotrophic respiration)总量为8.07×10¹² g·a^-1,因此推算得高寒草原区域内净生态系统生产力(NEP)折算成碳为12.50×10¹² g·a^-1。     

土壤呼吸的温度敏感性

土壤呼吸是指土壤释放CO₂ 的过程,它所释放出的CO₂ 是生物圈向大气圈释放CO₂ 的主要来源之一。土壤呼吸速率对温度变化的敏感性是陆地生态系统碳循环过程中一个十分重要的环节。由于许多大尺度碳循环模型中都涉及土壤呼吸的温度敏感性这一问题,因此对该问题的回答有助于提高对当前陆地生态系统碳通量的估算和对 未来气候变化预测的准确性。本文就目前土壤呼吸速率对温度变化的敏感性的主要问题进行了综述,从温度、水分、呼吸底物的数量和质量、酶促反应动力学等几个不同的方面,概述了土壤呼吸温度敏感性的变异范围较大的原因,以及这些因素对土壤呼吸的温度敏感性影响的机理。土壤呼吸是酶促的化学反应,因此其温度敏感性不仅取决于呼吸底物的质量,同样也取决于底物的有效性。     

水库浮游细菌生产和呼吸过程代谢内外源有机碳研究

全球气候变化和人类活动的加剧影响水生生态系统中溶解性有机碳(DOC)的种类和浓度.浮游细菌生产和呼吸过程对碳源变化的响应,可能影响水体乃至区域的碳循环特征.本研究选取了南京市11座中小型水库,利用碳稳定同位素技术和双端元混合模型定量分析浮游细菌在生产和呼吸代谢过程中对内外碳源的利用.依据DOC中内外碳源的比例,将11座...     

Factors affecting soil respiration in reference with temperature’s role in the global scale

Soil respiration is CO₂ evolution process from soil to atmosphere, mainly produced by soil micro-organism and plant roots. It is affected not only by biological factors (vegetation, micro-organism, etc.) and environmental factors (temperature, moisture, pH, etc.), but also more and more strongly by man-made factors. Based on literature survey, main factors affecting soil respiration were reviewed. The relationship of soil respiration to latitude and to mean annual temperature were analyzed by using the data measured from forest vegetation in the world. As a result, soil respiration rate decreased exponentially with an increase of latitude, and increased with increasing temperature. Following the relationship between soil respiration and temperature, Q₁₀ value (law of Van Hoff) was obtained as 1.57 in the global scale. This project was supported by National Natural Science Foundation of China to FJY (No. 3940003).     

On the Anomalous Behaviour of Scalar Flux–Variance Similarity Functions Within the Canopy Sub-layer of a Dense Alpine Forest

Within the canopy sub-layer (CSL), variability in scalar sources and sinks are known to affect flux–variance (FV) similarity relationships for water vapour (q) and carbon dioxide (C) concentrations, yet large-scale processes may continue to play a significant role. High frequency time series data for temperature (T), q and C, collected within the CSL of an uneven-aged mixed coniferous forest in Lavarone, Italy, are used to investigate these processes within the context of FV similarity. This dataset suggests that MOST scaling describes the FV similarity function of T even though the observations are collected in the CSL, consistent with other studies. However, the measured FV similarity functions for q and C appear to have higher values than their temperature counterpart. Two hypotheses are proposed to explain the measured anomalous behaviour in the FV similarity functions for q and C when referenced to T. Respired CO₂ from the forest floor leads to large positive excursions in the C time series at the canopy top thereby contributing significantly to both C variance increase and C vertical flux decrease—both leading to an anomalous increase in the FV similarity function. For q, transport of dry air from the outer-layer significantly increases both the variance and the water vapour flux. However, the expected flux increase is much smaller than the variance increase so that the net effect remains an increase in the measured FV similarity function for water vapour above its T counterpart. The hypothesis here is that identifying these events in the temporal and/or in the frequency domain and filtering them from the C and q time series partially recovers a scalar flow field that appears to follow FV similarity theory scaling. Methods for identifying both types of events in the time and frequency domains and their subsequent effects on the FV similarity functions and corollary flow variables, such as the relative transport efficiencies, are also explored.     

Quantifying CO2 fluxes from soil surfaces to the atmosphere

Measurements of CO₂ fluxes from ground surface of the atmosphere (soil respiration) are needed to quantify biotic and abiotic reaction rates in unsaturated zones and to gain insight into the importance of these processes on global warming. The use of three techniques (dynamic closed chambers, static chambers, and gradient calculations) to determine soil respiration was assessed by measuring fluxes of microbially produced CO₂ from an unsaturated mesocosm (2.4 m dia.×3.2 m thick) and two unsaturated minicosms (0.58 m dia.×1.2 m thick), one maintained at 18–23 °C (HT) and the other at 5 °C (LT). By injecting known and constant CO₂ fluxes into the bottom of the HT minicosm and measuring the resulting fluxes, it was shown that the dynamic closed chamber (DCCS) technique yielded accurate measurements of fluxes over the range observed from natural unsaturated media. Over this same range, results showed that the concentration gradient method yielded reasonable estimates of fluxes but its accuracy was limited by uncertainties in both the concentration gradient and the gaseous diffusion coefficient in the soil atmosphere. The static chamber method underestimated the actual flux at higher CO₂ fluxes and when adsorption times of >24 h were used.     

Freshwater seepages and ephemeral macroalgae proliferation in an intertidal bay: II. Effect on benthic biomass and metabolism

Intertidal soft-sediments biomass and metabolism are naturally heterogeneous in time and space at different scales. Particular perturbations such as freshwater seepages and seasonal proliferation of ephemeral macroalgae can intermittently and/or locally create additional variability in these systems. Since the impacts of such environmental stresses on natural processes are not well understood, the hypothesis that they would affect the functioning of the benthic system was tested. An intertidal bay whose structure and functioning has been previously described and where a carbon budget has been calculated, was chosen. The results showed that the metabolism of the intertidal sediments was greatly impacted by the above perturbations. Freshwater seepage increased meiofauna and microalgae biomasses and enhanced the total benthic metabolism (increasing community respiration and gross primary production until 4 and 2 fold respectively) without altering its seasonal trend. Ephemeral macroalgae proliferation had a more important effect on the total benthic metabolism, increasing community respiration and gross primary production 8 and 12 fold respectively and leading to a change in the seasonal trend.