辐射变化对中亚热带杉木人工林净CO2交换的影响

太阳总辐射是影响森林生态系统碳交换的重要因子.为认识辐射变化对杉木人工林碳交换的影响,本研究利用开路式涡度相关系统和气象梯度观测系统测得的CO2通量和气象因子长期定位监测数据,用晴空指数(kt)表示太阳辐射情况,分析了kt对中亚热带杉木人工林生长季(4-10月)净C02交换(NEE)的影响.结果 表明:晴天时的太阳总辐...     

散射辐射测量及其对陆地生态系统生产力影响的研究进展

全球变化,特别是大气成分变化引起的散射辐射变化已经并将继续影响陆地生态系统的生产力与碳收支。该文综述了散射辐射的影响因子及其估算方法,分析了散射辐射对植被光能利用率(light-use efficiency,LUE)、陆地生态系统生产力及其碳收支的影响过程与控制机理,在此基础上提出了未来拟加强研究的方面:1)散射辐射对植物光合作用影响的机理及其在不同时空尺度的反应;2)散射辐射及其与其他环境因子的相互作用对植物与冠层光合作用影响的定量描述;3)散射辐射及其与其他环境因子的相互作用对土壤呼吸作用的影响过程与控制机理;4)植物对散射辐射及其与其他环境因子相互作用的适应性研究;5)散射辐射及其与其他环境因子的相互作用对陆地生态系统生产力及其碳收支的影响过程与调控对策。     

太阳辐射对黄河小浪底人工混交林净生态系统碳交换的影响

太阳辐射是影响森林生态系统与大气间净碳交换(NEE)的主要环境因子之一。利用涡度相关系统和微气象梯度观测系统对黄河小浪底人工混交林CO2通量和相关气象因子进行了3a(2006—2008年)的连续观测;以晴空指数(kt)为指标,分析了2006—2008年生长旺季(6—8月)太阳辐射对该生态系统NEE的影响,讨论了太阳辐射和其他环境因子协同变化对NEE的影响机制。结果表明:2006—2008年生长季,在多云天气下,生态系统最大光合速率Pmax比晴朗天气下分别提高了38%、58%和55%;多云天气下的初始光能利用率α分别是晴天天气的2.6、1.9和2.2倍。晴空指数kt约为0.44的中等辐射条件下,即天空存在一定的云量时,人工混交林生态系统的净碳吸收最大。多云天气下,散射辐射的增加与气象因素变化(气温下降、饱和差减小)的相互作用会增加冠层光合、削弱呼吸作用,从而共同影响了净生态碳吸收的增强。因此,在植被生长旺季,与晴朗无云天气相比,有云层覆盖的天气条件会使人工混交林生态系统的碳吸收能力有所提高。     

散射辐射对亚热带人工针叶林光能利用率的影响

地表接受的太阳辐射中散射辐射的改变是影响森林生态系统光能利用率(Light Use Efficiency,LUE)的重要因素。以千烟洲亚热带人工针叶林为研究对象,利用30 min通量和常规气象观测数据,以晴空指数(kt)和地表接受的散射辐射(S_f)占太阳总辐射(S_0)的比值(S_f/S_0)为指标,分析了2003—2012年生长旺季(6—8月)散射辐射变化对千烟洲亚热带人工针叶林光能利用率的影响,并利用改进的光响应曲线模型分析了散射辐射变化对植被光合特性的影响。研究结果表明:2003—2012年生长旺季中,kt在0.6—0.7范围内的LUE比kt在0.4—0.5范围内的LUE平均减少了44.66%;S_f/S_0在70%—85%之间的LUE比S_f/S_0在55%—70%之间的LUE平均提高了22.24%。由此可以看出,与晴朗天空相比,多云及气溶胶增加导致的散射辐射增加可使该生态系统的LUE提高。并且,未受到高温干旱影响的2005、2006、2008、2009、2010及2012年散射辐射下该生态系统的初始量子效率αf比直接辐射下的αr平均增加了0.63 g CO2/mol;而10年间所有年份散射辐射下的光饱和时的潜在最大光合作用速率比直接辐射下平均提高了0.81 mg CO_2m~(-2)s~(-1),说明散射辐射可使该生态系统植被光合能力提高。     

Partitioning net ecosystem carbon exchange and the carbon isotopic disequilibrium in a subalpine forest

We investigate the utility of an improved isotopic method to partition the net ecosystem exchange of CO₂ (F) into net photosynthesis (F_A) and nonfoliar respiration (F_R). Measurements of F and the carbon isotopic content in air at a high‐elevation coniferous forest (the Niwot Ridge AmeriFlux site) were used to partition F into F_A and F_R. Isotopically partitioned fluxes were then compared with an independent flux partitioning method that estimated gross photosynthesis (GEE) and total ecosystem respiration (TER) based on statistical regressions of night‐time F and air temperature. We compared the estimates of F_A and F_R with expected canopy physiological relationships with light (photosynthetically active radiation) and air temperature. Estimates of F_A and GEE were dependent on light as expected, and TER, but not F_R, exhibited the expected dependence on temperature. Estimates of the isotopic disequilibrium D , or the difference between the isotopic signatures of net photosynthesis (δ_A, mean value ?24.6‰) and ecosystem respiration (δ_R, mean value ?25.1‰) were generally positive (δ_A>δ_R). The sign of D observed here is inconsistent with many other studies. The key parameters of the improved isotopic flux partitioning method presented here are ecosystem scale mesophyll conductance (g_m) and maximal vegetative stomatal conductance (g_cmax). The sensitivity analyses of F_A, F_R, and D to g_cmax indicated a critical value of g_cmax (0.15 mol m^?2 s^?1) above which estimates of F_A and F_R became larger in magnitude relative to GEE and TER. The value of D decreased with increasing values of g_m and g_cmax, but was still positive across all values of g_m and g_cmax. We conclude that the characterization of canopy‐scale mesophyll and stomatal conductances are important for further progress with the isotope partitioning method, and to confirm our anomalous isotopic disequilibrium findings.     

Measurements of gross and net ecosystem productivity and water vapour exchange of a Pinus ponderosa ecosystem,and an evaluation of two generalized models

Net ecosystem productivity (NEP), net primary productivity (NPP), and water vapour exchange of a mature Pinus ponderosa forest (44°30′ N, 121°37′ W) growing in a region subject to summer drought were investigated along with canopy assimilation and respiratory fluxes. This paper describes seasonal and annual variation in these factors, and the evaluation of two generalized models of carbon and water balance (PnET‐II and 3‐PG) with a combination of traditional measurements of NPP, respiration and water stress, and eddy covariance measurements of above‐and below‐canopy CO₂ and water vapour exchange. The objective was to evaluate the models using two years of traditional and eddy covariance measurements, and to use the models to help interpret the relative importance of processes controlling carbon and water vapour exchange in a water‐limited pine ecosystem throughout the year. PnET‐II is a monthly time‐step model that is driven by nitrogen availability through foliar N concentration, and 3‐PG is a monthly time‐step quantum‐efficiency model constrained by extreme temperatures, drought, and vapour pressure deficits. Both models require few parameters and have the potential to be applied at the watershed to regional scale. There was 2/3 less rainfall in 1997 than in 1996, providing a challenge to modelling the water balance, and consequently the carbon balance, when driving the models with the two years of climate data, sequentially. Soil fertility was not a key factor in modelling processes at this site because other environmental factors limited photosynthesis and restricted projected leaf area index to ～1.6. Seasonally, GEP and LE were overestimated in early summer and underestimated through the rest of the year. The model predictions of annual GEP, NEP and water vapour exchange were within 1–39% of flux measurements, with greater disparity in 1997 because soil water never fully recharged. The results suggest that generalized models can provide insights to constraints on productivity on an annual basis, using a minimum of site data.     

全球变化下海岸带微生物生态研究进展

海岸带地区是元素循环最活跃的自然区域之一,微生物作为地球元素循环的主要驱动者,对该区域生态系统中物质转化与能量流动起着至关重要的作用.本文从典型海岸带生态系统:海岸带湿地、海草床与海藻森林、近岸水体出发,围绕微生物参与的碳、氮循环过程以及其中的温室气体排放情况,综述了在全球气候变化与人为活动干扰的作用下,海岸带地区的微...     

Leaf age affects the seasonal pattern of photosynthetic capacityand net ecosystem exchange of carbon in a deciduous forest

Temporal trends in photosynthetic capacity are a critical factorin determining the seasonality and magnitude of ecosystem carbonfluxes. At a mixed deciduous forest in the south‐eastern United States (Walker Branch Watershed, Oak Ridge, TN, USA), we independently measured seasonal trends in photosynthetic capacity (using single‐leaf gas exchange techniques) and the whole‐canopycarbon flux (using the eddy covariance method). Soil respiration was also measured using chambers and an eddy covariance system beneath the canopy. These independent chamber and eddy covariance measurements, along with a biophysical model (CANOAK), areused to examine how leaf age affects the seasonal pattern of carbon uptake during the growing season. When the measured seasonality in photosynthetic capacity is representedin the CANOAK simulations, there is good agreement with the eddy covariance data on the seasonal trends in carbon uptake. Removing the temporal trends in the simulations by using the early season maximum value of photosynthetic capacity over the entire growing season over estimates the annual carbon uptake by about 300 g C m^?2 year^?1– halfthe total estimated annual net ecosystem exchange. Alternatively, use of the mean value of photosynthetic capacity incorrectly simulates the seasonality in carbon uptake by the forest. In addition to changes related to leaf development and senescence, photosynthetic capacitydecreased in the middle and late summer, even when leaf nitrogenwas essentially constant. When only these middle and late summer reductions were neglected in the model simulations, CANOAK still overestimated the carbon uptake by an amount comparable to 25% ofthe total annual net ecosystem exchange.     

散射辐射对中国东部典型人工林总初级生产力的影响

散射辐射是影响森林碳吸收的重要因子。然而,有关生态系统总初级生产力(GPP)对散射辐射响应机理的理解仍有限。该研究利用中国东部6个人工林生态系统2019–2020年观测的碳通量数据和气象数据,估算了散射辐射,区分了直接辐射和散射辐射条件;基于直角双曲线方程获取了不同辐射条件下生态系统光响应参数;量化了GPP对散射辐射和直接辐射变化的响应;采用偏相关方法分析了光照和环境因子对GPP日变化的贡献,旨在探究生长季散射辐射对人工林生态系统GPP的影响机理。研究表明:散射辐射增加可以有效促进冠层光合作用,初始量子效率(α)和光合有效辐射(PAR)为1 000μmol·m^–2·s^–1时的GPP (P₁₀₀₀)分别提高了47%–150%和2%–65%。与直接辐射条件相比,散射辐射条件下的PAR每增加1μmol·m^–2·s^–1,GPP增加0.86%–1.70%,森林植被类型和站点物候变化会影响这一过程,具有较低归一化植被指数(NDVI)的樟子松(Pinus sylvestris var. mo...     

Measurement of net ecosystem exchange,productivity and respiration in three spruce forests in Sweden shows unexpectedly large soil carbon losses

Measurement of net ecosystem exchange was made using the eddy covariance method above three forests along a north-south climatic gradient in Sweden: Flakaliden in the north, Knottåsen in central and Asa in south Sweden. Data were obtained for 2 years at Flakaliden and Knottåsen and for one year at Asa. The net fluxes (N_ep) were separated into their main components, total ecosystem respiration (R_t) and gross primary productivity (P_g). The maximum half-hourly net uptake during the heart of the growing season was highest in the southernmost site with ?0.787 mg CO₂ m^?2 s^?1 followed by Knottåsen with ?0.631 mg CO₂ m^?2 s^?1 and Flakaliden with ?0.429 mg CO₂ m^?2 s^?1. The maximum respiration rates during the summer were highest in Knottåsen with 0.245 mg CO₂ m^?2 s^?1 while it was similar at the two other sites with 0.183 mg CO₂ m^?2 s^?1. The annual N_ep ranged between uptake of ?304 g C m^?2 year^?1 (Asa) and emission of 84 g C m^?2 year^?1 (Knottåsen). The annual R_t and P_g ranged between 793 to 1253 g C m^?2 year^?1 and ?875 to ?1317 g C m^?2 year^?1, respectively. Biomass increment measurements in the footprint area of the towers in combination with the measured net ecosystem productivity were used to estimate the changes in soil carbon and it was found that the soils were losing on average 96–125 g C m^?2 year^?1. The most plausible explanation for these losses was that the studied years were much warmer than normal causing larger respiratory losses. The comparison of net primary productivity and P_g showed that ca 60% of P_g was utilized for autotrophic respiration.     

The influence of meteorology and phenology on net ecosystem exchange in an eastern Siberian boreal larch forest

Aims Boreal forests play an important role in the global carbon cycle. Compared with the boreal forests in North America and Europe, relatively few research studies have been conducted in Siberian boreal forests. Knowledge related to the role of Siberian forests in the global carbon balance is thus essential for a full understanding of global carbon cycle.Methods This study investigated the net ecosystem exchange (NEE) during growing season (May–September) in an eastern Siberian boreal larch forest for a 3-year period in 2004–2006 with contrasting meteorological conditions.Important findings The study found that the forest served as a carbon sink during all of the 3 studied years; in addition, the meteorological conditions essentially influenced the specific annual value of the strength of the carbon sinks in each year. Although 2005 was the warmest year and much wetter than 2004, 2005 also featured the greatest amount of ecosystem respiration, which resulted in a minimum value of NEE. The study also found that the phenological changes observed during the three study years had a relatively small effect on annual NEE. Leaf expansion was 26 days earlier in 2005 than in the other 2 years, which resulted in a longer growing season in 2005. However, the NEE in 2005 was counterbalanced by the large rate of ecosystem respiration that was caused by the higher temperatures in the year. This study showed that meteorological variables had larger influences on the interannual variations in NEE for a Siberian boreal larch forest, as compared with phenological changes. The overall results of this study will improve our understanding of the carbon balance of Siberian boreal larch forests and thus can help to forecast the response of these forests to future climate change.     

Seasonal hysteresis of net ecosystem exchange in response to temperature change: patterns and causes

Understanding how net ecosystem exchange (NEE) changes with temperature is central to the debate on climate change‐carbon cycle feedbacks, but still remains unclear. Here, we used eddy covariance measurements of NEE from 20 FLUXNET sites (203 site‐years of data) in mid‐ and high‐latitude forests to investigate the temperature response of NEE. Years were divided into two half thermal years (increasing temperature in spring and decreasing temperature in autumn) using the maximum daily mean temperature. We observed a parabolic‐like pattern of NEE in response to temperature change in both the spring and autumn half thermal years. However, at similar temperatures, NEE was considerably depressed during the decreasing temperature season as compared with the increasing temperature season, inducing a counter‐clockwise hysteresis pattern in the NEE–temperature relation at most sites. The magnitude of this hysteresis was attributable mostly (68%) to gross primary production (GPP) differences but little (8%) to ecosystem respiration (ER) differences between the two half thermal years. The main environmental factors contributing to the hysteresis responses of NEE and GPP were daily accumulated radiation. Soil water content (SWC) also contributed to the hysteresis response of GPP but only at some sites. Shorter day length, lower light intensity, lower SWC and reduced photosynthetic capacity may all have contributed to the depressed GPP and net carbon uptake during the decreasing temperature seasons. The resultant hysteresis loop is an important indicator of the existence of limiting factors. As such, the role of radiation, LAI and SWC should be considered when modeling the dynamics of carbon cycling in response to temperature change.     

Comparing and evaluating process-based ecosystem model predictions of carbon and water fluxes in major European forest biomes

Process‐based models can be classified into: (a) terrestrial biogeochemical models (TBMs), which simulate fluxes of carbon, water and nitrogen coupled within terrestrial ecosystems, and (b) dynamic global vegetation models (DGVMs), which further couple these processes interactively with changes in slow ecosystem processes depending on resource competition, establishment, growth and mortality of different vegetation types. In this study, four models – RHESSys, GOTILWA+, LPJ‐GUESS and ORCHIDEE – representing both modelling approaches were compared and evaluated against benchmarks provided by eddy‐covariance measurements of carbon and water fluxes at 15 forest sites within the EUROFLUX project. Overall, model‐measurement agreement varied greatly among sites. Both modelling approaches have somewhat different strengths, but there was no model among those tested that universally performed well on the two variables evaluated. Small biases and errors suggest that ORCHIDEE and GOTILWA+ performed better in simulating carbon fluxes while LPJ‐GUESS and RHESSys did a better job in simulating water fluxes. In general, the models can be considered as useful tools for studies of climate change impacts on carbon and water cycling in forests. However, the various sources of variation among models simulations and between models simulations and observed data described in this study place some constraints on the results and to some extent reduce their reliability. For example, at most sites in the Mediterranean region all models generally performed poorly most likely because of problems in the representation of water stress effects on both carbon uptake by photosynthesis and carbon release by heterotrophic respiration (R_h). The use of flux data as a means of assessing key processes in models of this type is an important approach to improving model performance. Our results show that the models have value but that further model development is necessary with regard to the representation of the some of the key ecosystem processes.     

江西千烟洲地区散射辐射的模拟与验证

散射辐射的准确估算对于评价其对陆地生态系统碳交换的影响具有重要意义.基于我国中亚热带江西千烟洲气象观测场2012年3月1日—2013年2月28日散射辐射实际观测数据对目前常用的5个散射辐射分解模型（Reindl-1、Reindl-2、Reindl-3、Boland、BRL）的模拟结果进行验证.结果表明： 在30 min尺度上,虽然5个模型在总体上都可以较好地模拟该地区的散射辐射,但模型模拟效果随着晴空指数（k_t）的升高而显著降低.特别是当k_t>0.75时,各模型已无法模拟该地区散射辐射.从散射辐射季节变化的模拟来看,5个模型能够很好地模拟大多数月份的散射辐射.5个模型年尺度散射辐射模拟值与观测值的相对偏差最高为7.1%（BRL）,最低为0.04%（Reindl-1）,平均为3.6%.在全年辐射最强、温度最高和降水偏少的夏季,5个模型的模拟值均出现了过高估计.以7月为例,散射辐射被高估14.5%～28.2%,平均高估21.2%.这可能与高k_t条件下散射辐射的估算方法有关,这种不确定性需要在模型应用中做进一步深入评价.根据验证结果并考虑模拟精度和输入变量的易获取性,5个模型的模拟效果依次为BRL>Reindl-3>Reindl-2>Reindl-1>Boland.     

不同幅度的实验增温对藏北高寒草甸净生态系统碳交换的影响

全球气候变暖将对陆地生态系统(尤其是高寒草甸生态系统)碳循环产生深远影响。该研究依托中国科学院地理科学与资源研究所藏北高原草地生态系统研究站(那曲站), 设置不同增温幅度实验, 模拟未来2 ℃增温和4 ℃增温的情景, 探究不同增温幅度对青藏高原高寒草甸净生态系统碳交换(NEE)的影响。研究结果显示: 1)在2015年生长季(6-9月), 不增温和2 ℃增温处理下NEE小于0, 总体表现为碳汇, 而4 ℃增温处理下NEE大于0, 总体表现为碳源; 2)在生长季的6月、8月及整个生长季, 与不增温相比, 4 ℃增温处理显著提高了NEE, 而2 ℃增温处理没有显著改变NEE; 7月, 2 ℃和4 ℃增温处理均显著提高了NEE; 3)在半干旱的高寒草甸生态系统, 土壤水分是决定NEE的关键因素, 增温通过降低土壤水分而导致高寒草甸生态系统碳汇能力下降。该研究可为青藏高原高寒草甸生态系统应对未来气候变化提供基础数据和理论依据。     

Evidence of increased net ecosystem productivity associated with a longer vegetated season in a deciduous forest in south‐central Indiana,USA

Observations of net ecosystem exchange (NEE) of carbon and its biophysical drivers have been collected at the AmeriFlux site in the Morgan‐Monroe State Forest (MMSF) in Indiana, USA since 1998. Thus, this is one of the few deciduous forest sites in the world, where a decadal analysis on net ecosystem productivity (NEP) trends is possible. Despite the large interannual variability in NEP, the observations show a significant increase in forest productivity over the past 10 years (by an annual increment of about 10 g C m^?2 yr^?1). There is evidence that this trend can be explained by longer vegetative seasons, caused by extension of the vegetative activity in the fall. Both phenological and flux observations indicate that the vegetative season extended later in the fall with an increase in length of about 3 days yr^?1 for the past 10 years. However, these changes are responsible for only 50% of the total annual gain in forest productivity in the past decade. A negative trend in air and soil temperature during the winter months may explain an equivalent increase in NEP through a decrease in ecosystem respiration.     

Climate change effects on net carbon exchange of a boreal aspen–hazelnut forest: estimates from the ecosystem model ecosys

Although boreal forests are currently sinks for atmospheric C, there is some concern that they may not remain so under hypothesized warming of the boreal climate. The ecosystem model ecosys was used to evaluate possible changes in ecosystem C exchange and accumulation under changes in atmospheric CO₂ concentration (C_a) proposed in emissions scenario IS92a, and accompanying changes in air temperature and precipitation proposed by general circulation models running under IS92a. Ecosys was first tested under current climate by comparing modelled rates of C exchange and accumulation with those measured in a mixed aspen–hazelnut stand in central Saskatchewan. The model was then run with daily increments of C_a, temperature and precipitation, and differences in C exchange and accumulation between current and changing climates were evaluated. Model results indicated that over a 120‐y period, a mixed aspen–hazelnut stand currently accumulates about 14 kg C m^?2. Under the hypothesized changes in climate this stand would accumulate an additional 8.5 kg C m^?2, largely through higher rates of CO₂ fixation and longer growing seasons under higher C_a and temperature. This additional accumulation would be entirely as aspen wood, while soil organic matter would change little. This accumulation would therefore be vulnerable to losses from fire and insects.     

华北低丘山地人工林生态系统净碳交换与气象因子的关系

植树造林使我国森林碳储量显著增加,人工林潜在的碳汇功能不容忽视.基于涡度相关技术,对华北低丘山地30年生栓皮栎-刺槐-侧柏人工混交林生态系统进行了连续2a的碳通量观测,以探讨净碳交换(NEE)与气象因子的关系.结果表明:在主要生长季(4～9月份),夜间日平均NEE(生态系统呼吸)随气温升高呈指数增长(P<0.01).2006年和2007年生态系统呼吸的温度敏感系数(Q_(10))分别为1.92和1.86.气温在10℃以下时,NEE日总量较小.气温超过10℃后,人工林以净吸收大气CO_2为主,且日吸收量随温度升高迅速增加.白天净碳吸收量随光合有效辐射(PAR)增加而增大(P<0.01),可由直角双曲线方程描述;不过,当饱和差(VPD)小于1.0 kPa时,二者呈线性相关(P<0.01).2006年和2007年主要生长季(4～9月份)的平均表观初始光能利用率(α)分别为0.032和0.019,平均最大光合速率(P_(max))分别为0.96mg · m~(-2) · s~(-1)和1.10 mg · m~(-2) · s~(-1).α和P_(max)都存在季节变化.在月尺度,P_(max)与VPD和PAR呈明显的负相关关系(分别为P<0.01和P<0.05),但与气温相关性不显著;α与对应的PAR、气温和VPD均无明显相关关系.     

Influence of spring and autumn phenological transitions on forest ecosystem productivity

We use eddy covariance measurements of net ecosystem productivity (NEP) from 21 FLUXNET sites (153 site-years of data) to investigate relationships between phenology and productivity (in terms of both NEP and gross ecosystem photosynthesis, GEP) in temperate and boreal forests. Results are used to evaluate the plausibility of four different conceptual models. Phenological indicators were derived from the eddy covariance time series, and from remote sensing and models. We examine spatial patterns (across sites) and temporal patterns (across years); an important conclusion is that it is likely that neither of these accurately represents how productivity will respond to future phenological shifts resulting from ongoing climate change. In spring and autumn, increased GEP resulting from an ‘extra’ day tends to be offset by concurrent, but smaller, increases in ecosystem respiration, and thus the effect on NEP is still positive. Spring productivity anomalies appear to have carry-over effects that translate to productivity anomalies in the following autumn, but it is not clear that these result directly from phenological anomalies. Finally, the productivity of evergreen needleleaf forests is less sensitive to phenology than is productivity of deciduous broadleaf forests. This has implications for how climate change may drive shifts in competition within mixed-species stands.     

青藏高原高寒草甸净生态系统碳交换对散射辐射变化的响应

青藏高原是地球上接收太阳辐射能最多的地区之一,具有世界上最高的高寒草甸生态系统,对区域乃至全球碳循环起着重要作用.为了探究太阳辐射变化对高寒草甸生态系统碳动态的影响,本研究利用涡度相关技术和微气象观测系统对高寒草甸生态系统CO₂净交换(NEE)、太阳总辐射、散射辐射及其相关环境要素进行观测;根据晴空指数(CI,到达地面的太阳辐射与大气上界太阳辐射的比值)将天空状况划分为晴天(CI≥0.7)、多云(0.32·m^-2·s^-1)对应的光量子通量密度(PPFD)约为1400 μmol·m^-2·s^-1,出现在CI为0.6～0.7范围内的多云天空,高于CI≥0.7的最高值(-0.57 mg CO₂·m^-2·s^-1)(NEE负值为碳吸收,正值为排放,为方便起见在此均用绝对值描述);CI<0.6条件下,NEE随散射辐射的增加呈显著的对数增加;CI在0.6～0.7范围内,NEE达到最大值,CI≥0.7时,NEE随CI的上升呈降低趋势,说明生态系统的光合作用可能出现了光抑制现象,且散射辐射的增加有利于提高生态系统固碳能力;生态系统呼吸(R_e)随温度升高呈明显的指数上升趋势,高寒草甸NEE最高值对应的温度为15 ℃,当温度高于15 ℃时,NEE随温度的升高呈下降趋势.晴天状况下,温度升高增加了R_e,进而降低了NEE.当饱和水汽压差(VPD)<0.6 kPa时,NEE随VPD增加呈增加趋势;当VPD>0.6 kPa时,NEE随VPD的升高呈缓慢下降趋势,说明相对较高的VPD抑制了生态系统的光合作用.晴天的强辐射并不能促进青藏高原高寒草甸的碳吸收能力,而晴空指数在0.6～0.7范围的多云天气最有利于生态系统碳固定.