Interactions Among Abiotic Drivers,Disturbance and Gross Ecosystem Carbon Exchange on Soil Respiration from Subtropical Pine Savannas

Globally, soil CO₂ efflux rates (F_s) have been linked to changes in soil water content (SWC), rainfall and temperature and/or productivity. However, within an ecosystem, F_s can vary based on site structure and function, which can be affected by a combination of abiotic and biotic factors. This becomes particularly important when an ecosystem is faced with disturbances, such as drought or fire. Site-specific compensatory responses to disturbances may therefore alter C mineralization, as well as root respiration. Hence, single location F_s estimates may not be a representative for ecosystems across their distributional ranges. We conducted a 6-year study along an edaphic moisture gradient of longleaf pine ecosystems that were maintained with prescribed fire, using eddy covariance and soil respiration measurements to address how F_s varies with changes in ecosystem structure and function, as well as disturbances. Lower air temperatures (T_air) decreased F_s at all sites, but that response was also affected by productivity and SWC. Productivity significantly altered F_s rates at all sites, especially when we accounted for changes in temperature and SWC. Plant regrowth post-fire temporarily increased F_s (10–40%), whereas drought reduced F_s at all sites. Our results show that site productivity, F_s and the degree to which ecosystems adapt to climate variations and disturbance can be site specific. Hence, model forecasting of carbon dynamics would strongly benefit from multi-location measurements of F_s across the distributional range of an ecosystem.     

Diminishing Spatial Heterogeneity in Soil Organic Matter across a Prairie Restoration Chronosequence

Habitat restoration resulting in changes in plant community composition or species dominance can affect the spatial pattern and variability of soil nutrients. Questions about how these changes in soil spatial heterogeneity develop over time at restoration sites, however, remain unaddressed. In this study, a geostatistical approach was used to quantify changes over time in the spatial heterogeneity of soil organic matter (SOM) across a 26‐year chronosequence of tallgrass prairie restoration sites at FermiLab, outside of Chicago, Illinois. We used total soil N and C as an index of the quantity of SOM. We also examined changes in C:N ratio, which can influence the turnover of SOM. Specifically, the spatial structure of total N, total C, and C:N ratio in the top 10 cm of soil was quantified at a macroscale (minimum spacing of 1.5 m) and a microscale (minimum spacing of 0.2 m). The magnitude of spatial heterogeneity (MSH) was characterized as the proportion of total sample variation explained by spatially structured variation. At the macroscale, the MSH for total N decreased with time since restoration (r²= 0.99, p < 0.001). The decrease in spatial heterogeneity over time corresponded with a significant increase in the dominance of the C₄ grasses. At the microscale, there was significant spatial structure for total N at the 4‐year‐old, 16‐year‐old, and 26‐year‐old sites, and significant spatial structure for total C at the 16‐year‐old and 26‐year‐old sites. These results suggest that an increase in dominance of C₄ grasses across the chronosequence is homogenizing organic matter variability at the field scale while creating fine‐scale patterns associated with the spacing of vegetation. Areas of higher soil moisture were associated with higher soil N and C at the two oldest restoration sites and at the native prairie site, potentially suggesting patches of increased belowground productivity in areas of higher soil moisture. This study is one of the first to report significant changes over time in the spatial structure of organic matter in response to successional changes initiated by restoration.     

Topographic and climatic controls on soil respiration in six temperate mixed-hardwood forest slopes, Korea

To better understand the effects of local topography and climate on soil respiration, we conducted field measurements and soil incubation experiments to investigate various factors influencing spatial and temporal variations in soil respiration for six mixed‐hardwood forest slopes in the midst of the Korean Peninsula. Soil respiration and soil water content (SWC) were significantly greater (P=0.09 and 0.003, respectively) on north‐facing slopes compared to south‐facing slopes, while soil temperature was not significantly different between slopes (P>0.5). At all sites, soil temperature was the primary factor driving temporal variations in soil respiration (r²=0.84–0.96) followed by SWC, which accounted for 30% of soil respiration spatial and temporal variability. Results from both field measurements and incubation experiments indicate that variations in soil respiration due to aspect can be explained by a convex‐shaped function relating SWC to normalized soil respiration rates. Annual soil respiration estimates (1070–1246 g C m^?2 yr^?1) were not closely related to mean annual air temperatures among sites from different climate regimes. When soils from each site were incubated at similar temperatures in a laboratory, respiration rates for mineral soils from wetter and cooler sites were significantly higher than those for the drier and warmer sites (n=4, P<0.01). Our results indicate that the application of standard temperature‐based Q₁₀ models to estimate soil respiration rates for larger geographic areas covering different aspects or climatic regimes are not adequate unless other factors, such as SWC and total soil nitrogen, are considered in addition to soil temperature.     

Modeling Spatial Patterns of Soil Respiration in Maize Fields from Vegetation and Soil Property Factors with the Use of Remote Sensing and Geographical Information System

To examine the method for estimating the spatial patterns of soil respiration (R_s) in agricultural ecosystems using remote sensing and geographical information system (GIS), R_s rates were measured at 53 sites during the peak growing season of maize in three counties in North China. Through Pearson''s correlation analysis, leaf area index (LAI), canopy chlorophyll content, aboveground biomass, soil organic carbon (SOC) content, and soil total nitrogen content were selected as the factors that affected spatial variability in R_s during the peak growing season of maize. The use of a structural equation modeling approach revealed that only LAI and SOC content directly affected R_s. Meanwhile, other factors indirectly affected R_s through LAI and SOC content. When three greenness vegetation indices were extracted from an optical image of an environmental and disaster mitigation satellite in China, enhanced vegetation index (EVI) showed the best correlation with LAI and was thus used as a proxy for LAI to estimate R_s at the regional scale. The spatial distribution of SOC content was obtained by extrapolating the SOC content at the plot scale based on the kriging interpolation method in GIS. When data were pooled for 38 plots, a first-order exponential analysis indicated that approximately 73% of the spatial variability in R_s during the peak growing season of maize can be explained by EVI and SOC content. Further test analysis based on independent data from 15 plots showed that the simple exponential model had acceptable accuracy in estimating the spatial patterns of R_s in maize fields on the basis of remotely sensed EVI and GIS-interpolated SOC content, with R² of 0.69 and root-mean-square error of 0.51 µmol CO₂ m⁻² s⁻¹. The conclusions from this study provide valuable information for estimates of R_s during the peak growing season of maize in three counties in North China.     

黄土高原水蚀风蚀交错区坡地土壤剖面饱和导水率空间异质性

在黄土高原水蚀风蚀交错区坡面(40 m×350 m)尺度上进行网格(10 m×10 m)取样,用经典统计学和地统计学相结合研究了180个土壤剖面(0-200 cm)各土层扰动土饱和导水率(Ks) 的空间异质性及分布格局。结果表明: 0-20 cm土层的Ks值(5.36×10^-3 cm/s)最大,>20-200 cm各土层的Ks值均小于表层,其值介于4.32×10^-3-4.76×10^-3 cm/s之间。各土层Ks的变异程度相近,均属于中等变异。>20-200 cm各土层Ks 的Kriging 插值图分布格局也表现出一致性,因此可用>20-40 cm土层的Ks值来代表深层Ks值对土壤水分运动进行模拟。除了0-20 cm 的Ks的基台值(C +C₀)为0.154,其它各土层基台值介于0.202-0.276之间,说明0-20 cm的Ks空间异质性小于>20-200 cm各土层。从比值C/(C+C₀)来看, 0-20 cm属于中等自相关,>20-200 cm土层属于强的空间自相关性,同样也验证了黄土高原水蚀风蚀交错区土壤剖面饱和导水率具有空间变异特征。     

Temporal patterns of soil CO2 efflux in a temperate Korean Larch (Larix olgensis Herry.) plantation, Northeast China

There is little information available regarding seasonal and annual variations in soil CO₂ efflux from Korean Larch plantations, which are an important component of forests’ carbon balance in temperate China. In this study, the soil respiration rate (R _s), soil temperature (T ₁₀) and soil moisture (SM₁₀) at 10 cm depth were observed in a Korean Larch (Larix olgensis Herry.) plantation in Northeast China from 2008 to 2012. Mean R _s in growing season (GS) varied greatly, ranged from 2.32 ± 0.08 to 3.88 ± 0.09 μmol CO₂ m^?2 s^?1 (mean ± SE) over the period of 2008–2012. In comparison with T-model, the increase of explained variability by applying both T ₁₀ and SM₁₀ to the T-M model is very small. It is indicated that R _s was controlled largely by T ₁₀ in the present study. By accounting for 22.2 and 17.7 % of the total soil CO₂ emissions in 2010/2011 and 2011/2012, respectively, the soil CO₂ efflux in dormant season (DS) was an essential component of the total soil CO₂ efflux. The Q ₁₀ value in the study period was always smaller for GS than DS, suggesting that soil carbon cycling may be more sensitive to the temperature changes at low than at high temperature range. These results indicated that climate changes may have great potential impacts on temperate Larch plantations in Northeast China, owing to soil carbon emissions of Larch plantation during the long period of DS being more sensitive to T ₁₀ than in GS, and played a significant role in the annual forest ecosystems carbon budget.     

Temperature Response of Soil Respiration in a Chinese Pine Plantation: Hysteresis and Seasonal vs. Diel Q 10

Although the temperature response of soil respiration (R_s) has been studied extensively, several issues remain unresolved, including hysteresis in the R_s–temperature relationship and differences in the long- vs. short-term R_s sensitivity to temperature. Progress on these issues will contribute to reduced uncertainties in carbon cycle modeling. We monitored soil CO₂ efflux with an automated chamber system in a Pinus tabulaeformis plantation near Beijing throughout 2011. Soil temperature at 10-cm depth (T_s) exerted a strong control over R_s, with the annual temperature sensitivity (Q ₁₀) and basal rate at 10°C (R_{s 10}) being 2.76 and 1.40 µmol m⁻² s⁻¹, respectively. Both R_s and short-term (i.e., daily) estimates of R_{s 10} showed pronounced seasonal hysteresis with respect to T_s, with the efflux in the second half of the year being larger than that early in the season for a given temperature. The hysteresis may be associated with the confounding effects of microbial population dynamics and/or litter input. As a result, all of the applied regression models failed to yield unbiased estimates of R_s over the entire annual cycle. Lags between R_s and T_s were observed at the diel scale in the early and late growing season, but not in summer. The seasonality in these lags may be due to the use of a single T_s measurement depth, which failed to represent seasonal changes in the depth of CO₂ production. Daily estimates of Q ₁₀ averaged 2.04, smaller than the value obtained from the seasonal relationship. In addition, daily Q ₁₀ decreased with increasing T_s, which may contribute feedback to the climate system under global warming scenarios. The use of a fixed, universal Q ₁₀ is considered adequate when modeling annual carbon budgets across large spatial extents. In contrast, a seasonally-varying, environmentally-controlled Q ₁₀ should be used when short-term accuracy is required.     

红松阔叶混交林林隙土壤水分分布格局的地统计学分析

以小兴安岭原始红松阔叶混交林林隙为研究对象,采用网格法布点,通过对生长季内林隙各样点土壤含水量的连续观测,利用基本统计学和地统计学的方法分析并揭示了林隙土壤含水量的时空分布格局,旨在为红松阔叶混交林的可持续经营提供基础数据和理论参考。结果表明:林隙土壤含水量不仅存在明显的空间异质性,而且空间异质性的强度、尺度和空间结构组成随时间而改变。浅层土壤水分空间异质性大于深层,林隙0—7.6 cm、0—12 cm和0—20 cm土壤含水量大小顺序均为9月>7月>8月>6月。林隙、郁闭林分和空旷地土壤含水量大小顺序均为0—7.6 cm>0—12 cm>0—20 cm。生长季内6月土壤含水量不同空间样点极差最大,各月变异都属于中等变异程度;基台值和变程大小顺序同样为0—7.6 cm>0—12 cm>0—20 cm;林隙月平均土壤含水量斑块连接度高,形状复杂,0—7.6 cm、0—12 cm和0—20 cm平均土壤含水量最大值均分布在林隙中心及其附近,最小值分布位置不固定;生长季内土壤含水量及其变化程度均为空旷地最大,林隙次之,郁闭林分最小。     

Age-related changes in litter inputs explain annual trends in soil CO2 effluxes over a full Eucalyptus rotation after afforestation of a tropical savannah

Land use changes such as savannah afforestation with eucalypts impact the soil carbon (C) balance, therefore affecting soil CO₂ efflux (F _s ), a major flux in the global C cycle. We tested the hypothesis that F _s increases with stand age after afforestation, due to an increasing input of fresh organic matter to the forest floor. In a Eucalyptus plantation established on coastal savannahs in Congo, bimonthly measurements of F _s were carried out for 1 year on three adjacent stands aged 0.9, 4.4 and 13.7 years and presenting similar growth patterns. Litterfall and litter accumulation on the forest floor were quantified over a chronosequence. Equations were derived to estimate the contribution of litter decomposition to F _s throughout the rotation. Litterfall increased with stand age after savannah afforestation. F _s , that was strongly correlated on a seasonal basis with soil water content (SWC) in all stands, decreased between ages 0.9 year and 4.4 years due to savannah residue depletion, and increased between ages 4.4 years and 13.7 years, mainly because of an increasing amount of decomposing eucalypt litter. The aboveground litter layer therefore appeared as a major source of CO₂, whose contribution to F _s in old stands was estimated to be about four times higher than that of the eucalypt-derived soil organic C pool. The high litter contribution to F _s in older stands might explain why 13.7 years-old stand F _s was limited by moisture all year round whereas SWC did not limit F _s for large parts of the year in the youngest stands.     

Critical responses of photosynthetic efficiency of goldspur apple tree to soil water variation in semiarid loess hilly area

Goldspur apple (Malus pumila cv. Goldspur) is one of the main fruit trees planted in semiarid loess hilly areas. The photosynthetic efficiency in leaves of eight-year-old trees were studied under different soil water conditions with a Li-6400 portable photosynthesis system and a Li-Cor1600 portable steady state porometer in order to explore the effects of soil water stress on photosynthesis and the suitable soil water content (SWC) for water-saving irrigation of apple orchards. The results showed that the leaf net photosynthetic rate (P _N), transpiration rate (E), water-use efficiency (WUE), stomatal conductance (g _s), intercellular CO₂ concentration (C _i), and stomatal limiting value (L _s) displayed different threshold responses to soil water variation. When SWC was within a range of about 60%–86% of field capacity (FC), P _N and E were maintained in a relative steady state. At an elevated level but below 60% of FC, both P _N and E decreased evidently with decreasing soil moisture. The SWC needed to support WUE in a relatively steady state and at a high level was in the range of about 50%–71% of FC. When SWC was less than 48% of FC, g _s and L _s declined with decreasing soil moisture, while C _i increased rapidly. Based on the analysis of the stomatal limitation of photosynthesis using two criteria (C _i and L _s) suggested by Farquhar and Sharkey, it was implied that the predominant cause of restricting P _N had changed from stomatal limitation to nonstomatal one under severe water stress. In terms of water-saving irrigation for enhancing water-use efficiency, it was concluded that in semiarid loess hilly areas, the suitable range of SWC for water-saving irrigation in goldspur apple orchards is in the range of about 50%–71% of FC, and the most severe degree of soil water stress tolerated for photosynthesis is about 48% of FC.     

Soil water content variability drives productivity responses of a model grassland system to extreme rainfall events under elevated CO<Subscript>2</Subscript>

Climate change is significantly altering rainfall patterns globally and will likely cause increases in extreme rainfall events. Grassland systems are particularly vulnerable to these changes as their productivity is strongly mediated by soil water content (SWC). SWC mean and variability are driven by the amount of rainfall received as well as the distribution through time of that rainfall. In this study, we used a model grassland system in a controlled glasshouse experiment to identify whether SWC mean or variability is a stronger driver of productivity. We then examined how extreme rainfall events alter this driver and the resulting effect this has on productivity and biomass allocation under ambient and elevated carbon dioxide (CO₂). Rainfall amount was held constant, but distribution through time varied (control, one in 20 years event, one in 100 years event). SWC variability was a stronger driver of productivity (mesocosm biomass) than SWC mean, with increasing extreme rainfall event magnitude resulting in greater SWC variability. Surprisingly, elevated CO₂ only had a small effect on these productivity and biomass allocation responses which may be due to the relatively small CO₂ difference tested. Our results suggest that distribution of rainfall in time is an important driver of grassland productivity and that increases in extreme rainfall events, for a given total rainfall, will result in reduced grassland productivity.     

Variability in soil respiration across riparian-hillslope transitions

The spatial and temporal controls on soil CO₂ production and surface CO₂ efflux have been identified as outstanding gaps in our understanding of carbon cycling. We investigated both across two riparian-hillslope transitions in a subalpine catchment, northern Rocky Mountains, Montana. Riparian-hillslope transitions provide ideal locations for investigating the controls on soil CO₂ dynamics due to strong, natural gradients in the factors driving respiration, including soil water content (SWC) and soil temperature. We measured soil air CO₂ concentrations (20 and 50 cm), surface CO₂ efflux, soil temperature, and SWC at eight locations. We investigated (1) how soil CO₂ concentrations differed within and between landscape positions; (2) how the timing of peak soil CO₂ concentrations varied across riparian and hillslope zones; and (3) whether higher soil CO₂ concentrations necessarily resulted in higher efflux (i.e. did surface CO₂ efflux follow patterns of subsurface CO₂)? Soil CO₂ concentrations were significantly higher in the riparian zones, likely due to higher SWC. The timing of peak soil CO₂ concentrations also differed between riparian and hillslope zones, with highest hillslope concentrations near peak snowmelt and highest riparian concentrations during the late summer and early fall. Surface CO₂ efflux was relatively homogeneous at monthly timescales as a result of different combinations of soil CO₂ production and transport, which led to equifinality in efflux across the transects. However, efflux was 57% higher in the riparian zones when integrated to cumulative growing season efflux, and suggests higher riparian soil CO₂ production.     

Sensitivity of sea urchin fertilization to pH varies across a natural pH mosaic

In the coastal ocean, temporal fluctuations in pH vary dramatically across biogeographic ranges. How such spatial differences in pH variability regimes might shape ocean acidification resistance in marine species remains unknown. We assessed the pH sensitivity of the sea urchin Strongylocentrotus purpuratus in the context of ocean pH variability. Using unique male–female pairs, originating from three sites with similar mean pH but different variability and frequency of low pH (pH_T ≤ 7.8) exposures, fertilization was tested across a range of pH (pH_T 7.61–8.03) and sperm concentrations. High fertilization success was maintained at low pH via a slight right shift in the fertilization function across sperm concentration. This pH effect differed by site. Urchins from the site with the narrowest pH variability regime exhibited the greatest pH sensitivity. At this site, mechanistic fertilization dynamics models support a decrease in sperm–egg interaction rate with decreasing pH. The site differences in pH sensitivity build upon recent evidence of local pH adaptation in S. purpuratus and highlight the need to incorporate environmental variability in the study of global change biology.     

Confounding Effects of Soil Moisture on the Relationship Between Ecosystem Respiration and Soil Temperature in Switchgrass

Understanding the response of ecosystem respiration (ER) to major environmental drivers is critical for estimating carbon sequestration and large-scale modeling research. Temperature effect on ER is modified by other environmental factors, mainly soil moisture, and such information is lacking for switchgrass (Panicum virgatum L.) ecosystems. The objective of this study was to examine seasonal variation in ER and its relationship with soil temperature (T _s) and moisture in a switchgrass field. ER from the nighttime net ecosystem CO₂ exchange measurements by eddy covariance system during the 2011 and 2012 growing seasons was analyzed. Nighttime ER ranged from about 2 (early growing season) to as high as 13 μmol m^?2 s^?1 (peak growing period) and showed a clear seasonality, with low rates during warm (>30 °C) and dry periods (<0.20 m³ m^?3 of soil water content). No single temperature or moisture function described variability in ER on the seasonal scale. However, an exponential temperature–respiration function explained over 50 % of seasonal variation in ER at adequate soil moisture (>0.20 m³ m^?3), indicating that soil moisture <0.20 m³ m^?3 started to limit ER. Due to the limitation of soil–atmosphere gas exchange, ER rates declined markedly in wet soil conditions (>0.35 m³ m^?3) as well. Consequently, both dry and wet conditions lowered temperature sensitivity of respiration (Q ₁₀). Stronger ER–T _s relationships were observed at higher soil moisture levels. These results demonstrate that soil moisture greatly influences the dynamics of ER and its relationship with T _s in drought prone switchgrass ecosystems.     

内蒙古农牧交错区不同土地利用方式下土壤呼吸速率及其温度敏感性变化

2009年8-10月, 采用动态气室法观测了内蒙古农牧交错区多伦县农田、弃耕和围封3种土地利用方式下, 土壤呼吸速率从6:00到18:00的变化规律, 分析了不同深度的土壤温度与土壤含水量对土壤呼吸速率的控制作用。结果表明, 空间尺度上, 不同土地利用方式的土壤呼吸速率由高到低依次为: 农田>弃耕>围封; 时间尺度上, 土壤呼吸速率在6:00-18:00的变化趋势为单峰曲线, 在12:00-15:00达到峰值, 随后降低, 在18:00基本恢复到6:00左右的呼吸水平, 同时, 土壤呼吸速率在9、10月显著降低。利用Van’t Hoff指数模型研究不同深度土壤温度对土壤呼吸速率的影响发现, 10-15 cm深度的土壤温度对土壤呼吸速率的影响最为显著, 其中, 土壤呼吸温度敏感性由高到低分别为: 农田>围封>弃耕。相反, 由于8-10月土壤含水量变化较小, 故土壤含水量与土壤呼吸速率间的相关性不显著, 土壤含水量不能解释该时段土壤呼吸速率的变化。     

Photosynthetic Response to Soil Water Contents of an Annual Pioneer C4 Grass (Agriophyllum squarrosum) in Hunshandak Sandland,China

Net photosynthetic rate (P _N), transpiration rate (E), stomatal conductance (g _s), and leaf water potential (Ψ_l) of an annual pioneer C₄ grass (Agriophyllum squarrosum) were compared under different simulated precipitation events in a field of Hunshandak Sandland, China. The increase of soil water content (SWC) had significant effect on these physiological traits (p<0.001). In the vegetative stage, the values of P _N, E, and g _s went up sharply when SWC increased at the beginning, while they went down with continuous increase of SWC. P _N, E, and g _s increased 1.4, 1.7, and 1.7 fold, respectively, with SWC range from 6.7 to 11.6 %. In the reproductive stage, similar trends were found, except for the climate with a higher SWC. This indicated that A. squarrosum was very sensitive to the small increment of SWC which might have a large photosynthetic potential. Ψ_l increased by about 8 % as the SWC changed from 6.7 to 8.8 %, and then maintained a steady level when the SWC was higher than 8.8 %, while the values of P _N, E, and g _s kept increasing even after this SWC. This might indicate that the adjustment of Ψ_l response to the changes of SWC lagged that of the photosynthetic parameters. This revised version was published online in August 2006 with corrections to the Cover Date.     

Forest soil respiration reflects plant productivity across a temperature gradient in the Alps

Soil respiration (R _s) plays a key role in any consideration of ecosystem carbon (C) balance. Based on the well-known temperature response of respiration in plant tissue and microbes, R _s is often assumed to increase in a warmer climate. Yet, we assume that substrate availability (labile C input) is the dominant influence on R _s rather than temperature. We present an analysis of NPP components and concurrent R _s in temperate deciduous forests across an elevational gradient in Switzerland corresponding to a 6 K difference in mean annual temperature and a considerable difference in the length of the growing season (174 vs. 262 days). The sum of the short-lived NPP fractions (“canopy leaf litter,” “understory litter,” and “fine root litter”) did not differ across this thermal gradient (+6 % from cold to warm sites, n.s.), irrespective of the fact that estimated annual forest wood production was more than twice as high at low compared to high elevations (largely explained by the length of the growing season). Cumulative annual R _s did not differ significantly between elevations (836 ± 5 g C m^?2 a^?1 and 933 ± 40 g C m^?2 a^?1 at cold and warm sites, +12 %). Annual soil CO₂ release thus largely reflected the input of labile C and not temperature, despite the fact that R _s showed the well-known short-term temperature response within each site. However, at any given temperature, R _s was lower at the warm sites (downregulation). These results caution against assuming strong positive effects of climatic warming on R _s, but support a close substrate relatedness of R _s.     

Spatiotemporal variations of T/ET (the ratio of transpiration to evapotranspiration) in three forests of Eastern China

Evapotranspiration (ET), which is comprised by evaporation from soil surface (E), transpiration (T) and evaporation from the intercepted water by canopy (EI), plays an important role in maintaining global energy balance and regulating climate. Quantifying the spatiotemporal variations of T/ET (the ratio of T to ET) can improve our understandings on the role of vegetation ecophysiological processes in climate regulation. Using eddy covariance measurements at three forest ecosystems (Changbaishan temperate broad-leaved Korean pine mixed forest (CBS), Qianyanzhou subtropical coniferous plantation (QYZ) and Dinghushan subtropical evergreen mixed forest (DHS)) in north–south transect of Eastern China (NSTEC), we run the revised Shuttleworth–Wallace model (S–W model), validated its performance with the water vapor fluxes measured at two layers, and quantified the spatiotemporal variations of T/ET. The S–W model performed well in simulating ET and T/ET. The mean value of annual T/ET at three forests during the observation period all exceeded 0.6. The diurnal variation of canopy stomal conductance (G_c) dominated that of T/ET. The seasonal dynamics of T/ET was mainly shaped by that of leaf area index (LAI), vapor pressure deficit (VPD) and air temperature (T_a) through altering G_c and the portion that the energy absorbed by canopy (P_EC) at temperate forest (CBS), while the seasonal dynamics of T/ET at subtropical forests (QYZ and DHS) were mainly affected by T_a, net radiation, VPD, and soil water content through altering G_c and soil surface conductance (G_s). The variation of mean annual G_c governed the interannual varaition and spatial variation of T/ET. Therefore, forests in Eastern China played an important role in regulating climate through T and G_c primarily affected the spatial and temproal variations of the role of forest T in regulating climate.     

Species Richness-Environment Relationships of European Arthropods at Two Spatial Grains: Habitats and Countries

We study how species richness of arthropods relates to theories concerning net primary productivity, ambient energy, water-energy dynamics and spatial environmental heterogeneity. We use two datasets of arthropod richness with similar spatial extents (Scandinavia to Mediterranean), but contrasting spatial grain (local habitat and country). Samples of ground-dwelling spiders, beetles, bugs and ants were collected from 32 paired habitats at 16 locations across Europe. Species richness of these taxonomic groups was also determined for 25 European countries based on the Fauna Europaea database. We tested effects of net primary productivity (NPP), annual mean temperature (T), annual rainfall (R) and potential evapotranspiration of the coldest month (PET_min) on species richness and turnover. Spatial environmental heterogeneity within countries was considered by including the ranges of NPP, T, R and PET_min. At the local habitat grain, relationships between species richness and environmental variables differed strongly between taxa and trophic groups. However, species turnover across locations was strongly correlated with differences in T. At the country grain, species richness was significantly correlated with environmental variables from all four theories. In particular, species richness within countries increased strongly with spatial heterogeneity in T. The importance of spatial heterogeneity in T for both species turnover across locations and for species richness within countries suggests that the temperature niche is an important determinant of arthropod diversity. We suggest that, unless climatic heterogeneity is constant across sampling units, coarse-grained studies should always account for environmental heterogeneity as a predictor of arthropod species richness, just as studies with variable area of sampling units routinely consider area.     

Do tree species characteristics influence soil respiration in tropical forests? A test based on 16 tree species planted in monospecific plots

The high spatial variability of soil respiration in tropical rainforests is well evaluated, but influences of biotic factors are not clearly understood. This study underlines the influence of tree species characteristics on soil respiration across a 16-monospecific plot design in a tropical plantation of French Guiana. A large variability of soil CO₂ fluxes was observed among plots (i.e. 2.8 to 6.8 μmol m^?2 s^?1) with the ranking being constant across seasons. There were no significant relationships between soil respiration and soil moisture or soil temperature, neither spatially, nor seasonally. The variability of soil respiration was mainly explained by quantitative factors such as leaf litterfall and basal area. Surprisingly, no significant relationship was observed between soil respiration and root biomass. However, the influence of substrate quality was revealed by a strong relationship between soil respiration and litterfall P (and litterfall N, to a lesser extent).