Potential effects of climate change and rising CO2 on ecosystem processes in northeastern U.S. forests

Forest ecosystems represent the dominant form of land cover in the northeastern United States and are heavily relied upon by the region’s residents as a source of fuel, fiber, structural materials, clean water, economic vitality, and recreational opportunities. Although predicted changes in climate have important implications for a number of ecosystem processes, our present understanding of their long-term effects is poor. In this study, we used the PnET-CN model of forest carbon (C), nitrogen (N) and water cycling to evaluate the effects of predicted changes in climate and atmospheric carbon dioxide (CO₂) on forest growth, C exchange, water runoff, and nitrate ( $ {\text{NO}}^{ - }_{3} $ ) leaching at five forest research sites across the northeastern U.S. We used four sets of statistically downscaled climate predictions from two general circulation models (the Hadley Centre Coupled Model, version 3 and the Parallel Climate Model) and two scenarios of future CO₂ concentrations. A series of model experiments was conducted to examine the effects of future temperature, precipitation, CO₂, and various assumptions regarding the physiological response of forests to these changes. Results indicate a wide range of predicted future growth rates. Increased growth was predicted across deciduous sites under most future conditions, while growth declines were predicted for spruce forests under the warmest scenarios and in some deciduous forests when CO₂ fertilization effects were absent. Both climate and rising CO₂ contributed to predicted changes, but their relative importance shifted from CO₂-dominated to climate-dominated from the first to second half of the twenty-first century. Predicted runoff ranged from no change to a slight decrease, depending on future precipitation and assumptions about stomatal response to CO₂. Nitrate leaching exhibited variable responses, but was highest under conditions that imposed plant stress with no physiological effects of CO₂. Although there are considerable uncertainties surrounding predicted responses to climate change, these results provide a range of possible outcomes and highlight interactions among processes that are likely to be important. Such information can be useful to scientists and land managers as they plan on means of examining and responding to the effects of climate change.     

Responses of greenhouse gas fluxes to experimental warming in wheat season under conventional tillage and no-tillage fields

Understanding the effects of warming on greenhouse gas(GHG, such as N_2O, CH_4 and CO_2 )feedbacks to climate change represents the major environmental issue. However, little information is available on how warming effects on GHG fluxes in farmland of North China Plain(NCP). An infrared warming simulation experiment was used to assess the responses of N_2O, CH_4 and CO_2 to warming in wheat season of 2012–2014 from conventional tillage(CT) and no-tillage(NT) systems. The results showed that warming increased cumulative N_2O emission by 7.7% in CT but decreased it by 9.7% in NT fields(p 0.05). Cumulative CH_4 uptake and CO_2 emission were increased by 28.7%–51.7% and 6.3%–15.9% in both two tillage systems,respectively(p 0.05). The stepwise regressions relationship between GHG fluxes and soil temperature and soil moisture indicated that the supply soil moisture due to irrigation and precipitation would enhance the positive warming effects on GHG fluxes in two wheat seasons.However, in 2013, the long-term drought stress due to infrared warming and less precipitation decreased N_2O and CO_2 emission in warmed treatments. In contrast, warming during this time increased CH_4 emission from deep soil depth. Across two years wheat seasons, warming significantly decreased by 30.3% and 63.9% sustained-flux global warming potential(SGWP) of N_2O and CH_4 expressed as CO_2 equivalent in CT and NT fields, respectively. However, increase in soil CO_2 emission indicated that future warming projection might provide positive feedback between soil C release and global warming in NCP.     

Response of soil CO2 efflux to precipitation manipulation in a semiarid grassland

Soil CO_2efflux(SCE) is an important component of ecosystem CO_2 exchange and is largely temperature and moisture dependent, providing feedback between C cycling and the climate system. We used a precipitation manipulation experiment to examine the effects of precipitation treatment on SCE and its dependences on soil temperature and moisture in a semiarid grassland. Precipitation manipulation included ambient precipitation, decreased precipitation(- 43%), or increased precipitation(+ 17%). The SCE was measured from July2013 to December 2014, and CO_2 emission during the experimental period was assessed.The response curves of SCE to soil temperature and moisture were analyzed to determine whether the dependence of SCE on soil temperature or moisture varied with precipitation manipulation. The SCE significantly varied seasonally but was not affected by precipitation treatments regardless of season. Increasing precipitation resulted in an upward shift of SCE–temperature response curves and rightward shift of SCE–moisture response curves,while decreasing precipitation resulted in opposite shifts of such response curves. These shifts in the SCE response curves suggested that increasing precipitation strengthened the dependence of SCE on temperature or moisture, and decreasing precipitation weakened such dependences. Such shifts affected the predictions in soil CO_2 emissions for different precipitation treatments. When considering such shifts, decreasing or increasing precipitation resulted in 43 or 75% less change, respectively, in CO_2 emission compared with changes in emissions predicted without considering such shifts. Furthermore, the effects of shifts in SCE response curves on CO_2 emission prediction were greater during the growing than the non-growing season.     

CO2 emissions from tropical drained peat in Sumatra,Indonesia

With the increasing use of tropical peatland for agricultural development, documentation of the rate of carbon dioxide (CO₂) emissions is becoming important for national greenhouse gas inventories. The objective of this study was to evaluate soil-surface CO₂ fluxes from drained peat under different land-use systems in Riau and Jambi Provinces, Sumatra, Indonesia. Increase of CO₂ concentration was tracked in measurement chambers using an Infrared Gas Analyzer (IRGA, LI-COR 820 model). The results showed that CO₂ flux under oil palm (Elaeis guineensis) plantations ranged from 34?±?16 and 45?±?25 Mg CO₂ ha^–1 year^–1 in two locations in Jambi province to 66?±?25 Mg CO₂ ha^–1 year^–1 for a site in Riau. For adjacent plots within 3.2 km in the Kampar Peninsula, Riau, CO₂ fluxes from an oil palm plantation, an Acacia plantation, a secondary forest and a rubber plantation were 66?±?25, 59?±?19, 61?±?25, 52?±?17 Mg ha^–1 year^–1, respectively, while on bare land sites it was between 56?±?30 and 67?±?24 Mg CO₂ ha^–1 year^–1, indicating no significant differences among the different land-use systems in the same landscape. Unexplained site variation seems to dominate over land use in influencing CO₂ flux. CO₂ fluxes varied with time of day (p?<?0.001) with the noon flux as the highest, suggesting an overestimate of the mean flux values with the absence of night-time measurements. In general, CO₂ flux increased with the depth of water table, suggesting the importance of keeping the peat as wet as possible.     

Soil emissions of NO, N2O and CO2 from croplands in the savanna region of central Brazil

In the last 40 years, a large area of savanna vegetation in Central Brazil (Cerrado) has been converted to agriculture, with intensive use of fertilizers, irrigation and management practices. Currently, the Cerrado is the main region for beef and grain production in Brazil. However, the consequences of these agricultural practices on NO, N₂O and CO₂ emissions from soil to atmosphere are still poorly investigated. The objectives of this study were to quantify soil emissions of NO-N, N₂O-N and CO₂-C in different no-till cultivation systems in comparison with native savanna vegetation. The agricultural areas included: (a) the maize and Brachiaria ruzizienses intercropping system followed by irrigated bean in rotation; (b) soybean followed by natural fallow; and (c) cotton planting over B. ruzizienses straw. The study was performed from August 2003 to October 2005 and fluxes were measured before and after planting, after fertilizations, during the growing season, before and after harvesting. NO-N fluxes in the soybean field were similar to those measured in the native vegetation. In the cornfield, higher NO-N fluxes were measured before planting than after planting and pulses were observed after broadcast fertilizations. During Brachiaria cultivation NO-N fluxes were lower than in native vegetation. In the irrigated area (bean cultivation), NO-N fluxes were also significantly higher after broadcast fertilizations. Most of the soil N₂O-N fluxes measured under cultivated and native vegetation were very low (<0.6 ng N₂O-N cm⁻² h⁻¹) except during bean cultivation when N₂O-N fluxes increased after the first and second broadcast fertilization with irrigation and during nodule senescence in the soybean field. Soil respiration values from the soybean field were similar to those in native vegetation. The CO₂-C fluxes during cultivation of maize and irrigated bean were twice as high as in the native vegetation. During bean cultivation with irrigation, an increase in CO₂-C fluxes was observed after broadcast fertilization followed by a decrease after the harvest. Significantly lower soil C stocks (0-30 cm depth) were determined under no-tillage agricultural systems in comparison with the stocks under savanna vegetation. Fertilizer-induced emission factors of N oxides calculated from the data were lower than those indicated by the IPCC as default.     

Differences in nitrous oxide fluxes from red soil under different land uses in mid-subtropical China

Red soil may play an important role in nitrous oxide (N₂O) emissions due to its recent land use change pattern. To predict the land use change effect on N₂O emissions, we examined the relationship between soil N₂O flux and environmental determinants in four different types of land uses in subtropical red soil. During two years of study (January 2005-January 2007), biweekly N₂O fluxes were measured from 09:00 to 11:00 a.m. using static closed chamber method. Objectives were to estimate the seasonal and annual N₂O flux differences from land use change and, reveal the controlling factors of soil N₂O emission by studying the relationship of dissolved organic carbon (DOC), microbial biomass carbon (MBC), water filled pore space (WFPS) and soil temperature with soil N₂O flux. Nitrous oxide fluxes were significantly higher in hot-humid season than in the cool-dry season. Significant differences in soil N₂O fluxes were observed among four land uses; 2.9, 1.9 and 1.7 times increased N₂O emissions were observed after conventional land use conversion from woodland to paddy, orchard and upland, respectively. The mean annual budgets of N₂O emission were 0.71-2.21 kg N₂O-N ha⁻¹ year⁻¹ from four land use types. The differences were partly attributed to increased fertilizer use in agriculture land uses. In all land uses, N₂O fluxes were positively related to soil temperature and DOC accounting for 22-48% and 30-46% of the seasonal N₂O flux variability, respectively. Nitrous oxide fluxes did significantly correlate with WFPS in orchard and upland only. Nitrous oxide fluxes responded positively to MBC in all land use types except orchard which had the lowest WFPS. We conclude that (1) land use conversion from woodland to agriculture land uses leads to increased soil N₂O fluxes, partly due increased fertilizer use, and (2) irrespective of land use, soil N₂O fluxes are under environmental controls, the main variables being soil temperature and DOC, both of which control the supply of nitrification and denitrification substrates.     

Biosphere–atmosphere exchange of reactive nitrogen and greenhouse gases at the NitroEurope core flux measurement sites: Measurement strategy and first data sets

The NitroEurope project aims to improve understanding of the nitrogen (N) cycle at the continental scale and quantify the major fluxes of reactive N by a combination of reactive N measurements and modelling activities. As part of the overall measurement strategy, a network of 13 flux ‘super sites’ (Level-3) has been established, covering European forest, arable, grassland and wetland sites, with the objective of quantifying the N budget at a high spatial resolution and temporal frequency for 4.5 years, and to estimate greenhouse gas budgets (N₂O, CH₄ and CO₂). These sites are supported by a network of low-cost flux measurements (Level-2, 9 sites) and a network to infer reactive N fluxes at 58 sites (Level-1), for comparison with carbon (C) flux measurements.Measurements at the Level-3 sites include high resolution N₂O, NO (also CH₄, CO₂) fluxes, wet and dry N deposition, leaching of N and C and N transformations in plant, litter and soil. Results for the first 11 months (1.8.2006 to 30.6.2007) suggest that the grasslands are the largest source of N₂O, that forests are the largest source of NO and sink of CH₄ and that N deposition rates influence NO and N₂O fluxes in non-agricultural ecosystems. The NO and N₂O emission ratio is influenced by soil type and precipitation. First budgets of reactive N entering and leaving the ecosystem and of net greenhouse gas exchange are outlined. Further information on rates of denitrification to N₂ and biological N₂ fixation is required to complete the N budgets for some sites. The quantitative roles played by CO₂, N₂O and CH₄ in defining net greenhouse gas exchange differ widely between ecosystems depending on the interactions of climate, soil type, land use and management.     

Impacts of land use,restoration, and climate change on tropical peat carbon stocks in the twenty-first century: implications for climate mitigation

The climate mitigation potential of tropical peatlands has gained increased attention as Southeast Asian peatlands are being deforested, drained and burned at very high rates, causing globally significant carbon dioxide (CO₂) emissions to the atmosphere. We used a process-based dynamic tropical peatland model to explore peat carbon (C) dynamics of several management scenarios within the context of simulated twenty-first century climate change. Simulations of all scenarios with land use, including restoration, indicated net C losses over the twenty-first century ranging from 10 to 100 % of pre-disturbance values. Fire can be the dominant C-loss pathway, particularly in the drier climate scenario we tested. Simulated 100 years of oil palm (Elaeis guineensis) cultivation with an initial prescribed burn resulted in 2400–3000 Mg CO₂?ha^?1 total emissions. Simulated restoration following one 25-year oil palm rotation reduced total emissions to 440–1200 Mg CO₂?ha^?1, depending on climate. These results suggest that even under a very optimistic scenario of hydrological and forest restoration and the wettest climate regime, only about one third of the peat C lost to the atmosphere from 25 years of oil palm cultivation can be recovered in the following 75 years if the site is restored. Emissions from a simulated land degradation scenario were most sensitive to climate, with total emissions ranging from 230 to 10,600 Mg CO₂?ha^?1 over 100 years for the wettest and driest dry season scenarios, respectively. The large difference was driven by increased fire probability. Therefore, peat fire suppression is an effective management tool to maintain tropical peatland C stocks in the near term and should be a high priority for climate mitigation efforts. In total, we estimate emissions from current cleared peatlands and peatlands converted to oil palm in Southeast Asia to be 8.7 Gt CO₂ over 100 years with a moderate twenty-first century climate. These emissions could be minimized by effective fire suppression and hydrological restoration.     

The Tropical Peatland Plantation-Carbon Assessment Tool: estimating CO2 emissions from tropical peat soils under plantations

Land use change on Indonesian peatlands contributes to global anthropogenic greenhouse gas (GHG) emissions. Accessible predictive tools are required to estimate likely soil carbon (C) losses and carbon dioxide (CO₂) emissions from peat soils under this land use change. Research and modelling efforts in tropical peatlands are limited, restricting the availability of data for complex soil model parameterisation and evaluation. The Tropical Peatland Plantation-Carbon Assessment Tool (TROPP-CAT) was developed to provide a user friendly tool to evaluate and predict soil C losses and CO₂ emissions from tropical peat soils. The tool requires simple input values to determine the rate of subsidence, of which the oxidising proportion results in CO₂ emissions. This paper describes the model structure and equations, and presents a number of evaluation and application runs. TROPP-CAT has been applied for both site specific and national level simulations, on existing oil palm and Acacia plantations, as well as on peat swamp forest sites to predict likely emissions from future land use change. Through an uncertainty and sensitivity analysis, literature reviews and comparison with other methods of estimating soil C losses, the paper identifies opportunities for future model development, bridging between different approaches to predicting CO₂ emissions from tropical peatlands under land use change. TROPP-CAT can be accessed online from www.redd-alert.eu in both English and Bahasa Indonesia.     

Assessing the potential for greenhouse gas mitigation in intensively managed annual cropping systems at the regional scale

We predicted changes in yields and direct net soil greenhouse gas (GHG) fluxes from converting conventional to alternative management practices across one of the world's most productive agricultural regions, the Central Valley of California, using the DAYCENT model. Alternative practices included conservation tillage, winter cover cropping, manure application, a 25% reduction in N fertilizer input and combinations of these. Alternative practices were evaluated for all unique combinations of crop rotation, climate, and soil types for the period 1997-2006. The crops included were alfalfa, corn, cotton, melon, safflower, sunflower, tomato, and wheat. Our predictions indicate that, adopting alternative management practices would decrease yields up to 5%. Changes in modeled SOC and net soil GHG fluxes corresponded to values reported in the literature. Average potential reductions of net soil GHG fluxes with alternative practices ranged from −0.7 to −3.3 Mg CO₂-eq ha⁻¹ yr⁻¹ in the Sacramento Valley and −0.5 to −2.5 Mg CO₂-eq ha⁻¹ yr⁻¹ for the San Joaquin Valley. While adopting a single alternative practice led to modest net soil GHG flux reductions (on average −1 Mg CO₂-eq ha⁻¹ yr⁻¹), combining two or more of these practices led to greater decreases in net soil GHG fluxes of up to −3 Mg CO₂-eq ha⁻¹ yr⁻¹. At the regional scale, the combination of winter cover cropping with manure application was particularly efficient in reducing GHG emissions. However, GHG mitigation potentials were mostly non-permanent because 60-80% of the decreases in net soil GHG fluxes were attributed to increases in SOC, except for the reduced fertilizer input practice, where reductions were mainly attributed to decreased N₂O emissions. In conclusion, there are long-term GHG mitigation potentials within agriculture, but spatial and temporal aggregation will be necessary to reduce uncertainties around GHG emission reductions and the delivery risk of the associated C credits.     

河口潮滩湿地CH4、CO2排放通量对氮硫负荷增强的响应

以闽江河口区高、中潮滩短叶茳芏湿地为研究对象,于2014年6—11月植物生长季进行氮硫负荷增强实验,利用静态箱-气象色谱法测定土壤CH_4、CO_2排放通量,并同步观测相关环境因子.结果表明,氮硫负荷增强对潮滩湿地CH_4、CO_2排放通量的影响不尽一致.与对照相比,NH_4~+-N输入使高、中潮滩CH4排放通量分别提高了(107.53%,7.19%),使高潮滩CO_2排放通量增加了3.39%,中潮滩减少了3.00%;NO_3~--N输入使高潮滩CH4、CO_2排放通量分别增加了(29.99%,16.99%),使中潮滩分别减少了(3.45%,4.77%);SO_4~(2-)-S输入使高、中潮滩CH4排放通量分别减少了(8.99%,7.67%),使高潮滩CO_2排放通量减少了3.87%,中潮滩增加了5.44%;N-S复合输入使高、中潮滩CH4排放通量分别提高了(72.48%,25.66%),CO_2排放通量提高了(13.32%,13.48%).氮硫负荷增强改变了短叶茳芏沼泽生长季CH_4、CO_2排放通量变化规律,但除了NH+4-N处理对高潮滩CH4通量的影响显著外,其他处理影响均未达到显著性水平.相关分析显示,高、中潮滩湿地CH_4、CO_2排放通量与土壤温度,含水率具有显著的正线性相关关系,与土壤电导率相关性不显著.在全球环境问题日益严重背景下,系统研究湿地生态系统温室气体排放的机制与规律,对于准确估算全球温室气体排放量具有重要而直接的意义.     

喀斯特石漠化治理区土壤CH4和CO2排放研究

本研究采用静态密闭箱-气相色谱法,于2016年12月到2017年11月对重庆市南川石漠化治理示范区4个岩溶碳汇试验区(金银花地JYH、人工造林地杨树林YSL、坡改梯PGT、经济作物花椒林地HJ)及3个对照区(荒地HD、非坡改梯FPGT、弃耕地QGD)的土壤甲烷、二氧化碳的浓度及排放通量进行原位观测,探讨我国南方喀斯特石漠化地区甲烷和二氧化碳浓度分布和时空排放规律,及岩溶区土壤温度、土壤含水率等环境因子对甲烷、二氧化碳排放的影响。结果表明:不同植被类型下土壤CO_2的浓度范围为5 003. 64～19 163. 23 mg/m~3,土壤CH_4的浓度范围为5. 35～7. 46 mg/m~3。土壤CO_2的排放通量具有随季节变化土壤CO_2排放通量随季节明显变化,在一定范围内土壤温度及土壤含水率都与CO_2排放通量呈显著正相关关系。土壤CH_4释放速率没有明显的季节变化规律,在个别月份出现显著变化表现为巨大的源与汇,主要是受到土壤温度、土壤含水率及土壤微生物的共同影响。     

High fluxes but different patterns of nitrous oxide and carbon dioxide emissions from soil in a cattle overwintering area

Cattle overwintering areas common in central Europe may represent significant point sources of the important greenhouse gases, nitrous oxide (N₂O) and carbon dioxide (CO₂). A 2-year field study was carried out in order to estimate the emissions of N₂O and CO₂ from soil in a cattle overwintering area located in the southwest of the Czech Republic. The measurements were performed at three sampling locations along a gradient of animal impact (severe, moderate, slight) to test the hypothesis that emissions of CO₂ and N₂O are positively related to the degree of impact. In addition to CO₂ and N₂O fluxes determined by using non-vented manual closed chambers, soil mineral nitrogen (NH₄⁺ and NO₃⁻), pH and temperature were determined to assess their regulatory role and impact on gas fluxes. The overwintering area was about 4 ha and it had been used for overwintering of about 90 cows since 1995. Deposition of animal excreta resulted in a significant accumulation of nitrogen in the soil during winter, but most of the N₂O was emitted during a few short periods in spring and/or in late autumn. Maximum N₂O fluxes of up to 2.5 mg N₂O-N m⁻² h⁻¹ were recorded at the most impacted location near the animal house, where the highest concentrations of soil mineral nitrogen also occurred. The emissions of CO₂ showed a completely different pattern to those of N₂O, being correlated with soil temperature; the highest emissions thus occurred in June–July, while very low fluxes were found in winter. Emission values ranged from about 0 to 700 mg C-CO₂ m⁻² h⁻¹. Furthermore, the effect of animal impact on CO₂ emissions was opposite to that on N₂O fluxes, as the highest CO₂ fluxes were mostly recorded at the least impacted location, where respiration of plants most likely increased overall CO₂ production. The results show that cattle overwintering areas are important sources of greenhouse gases, including N₂O and CO₂. Fluxes of these two gases are, however, differently distributed over the year, which also suggests that they are controlled by different environmental and soil factors.     

青海南部高原积雪期与生长季高寒草甸土壤CO2、CH4和N2O通量的观测

以静态箱采集气体和气相色谱分析气体浓度方法,测定分析了青海南部高原积雪期和生长季高寒草甸土壤CO_2、CH_4和N_2O通量.结果表明在积雪集中期的3月3日和4日,积雪深度为9~10 cm时,土壤CO_2通量为1.33 g·(m~2·h)-1、N_2O通量为0.21 mg·(m~2·h)-1、CH_4通量为-0.19 mg·(m~2·h)-1;在积雪末期的4月30日,积雪深度在8~9 cm时,土壤CO_2通量为4.70 g·(m~2·h)~(-1)、N_2O通量为0.24 mg·(m~2·h)-1、CH_4通量为-1.23 mg·(m~2·h)-1;积雪深度小于4 cm时,土壤CO_2和N_2O通量较低或为负值,土壤CH_4通量为负值且绝对值较小.土壤CO_2和N_2O通量与积雪深度呈正相关、土壤CH_4通量与积雪深度呈负相关(P0.05),土壤CO_2与CH_4通量及CH_4与N_2O通量间呈负相关、土壤CO_2与N_2O通量间呈正相关.土壤CO_2和N_2O通量在生长季较高、在积雪末期其次、在积雪集中期较低;土壤CH_4通量为负值,其绝对值在生长季和积雪末期较大.结果说明积雪改变将影响青藏高原高寒草甸土壤温室气体通量.     

北方典型设施菜地土壤CO2排放特征

为研究我国北方典型设施菜地的土壤CO₂排放特征及其影响因素,通过原位监测手段,研究山东省寿光市农田转变为不同种植年限（6、12 a）设施菜地及设施菜地荒废12 a后土壤CO₂排放规律及影响因素.结果表明:①种植6 a设施菜地较农田具有较高的土壤CO₂排放量,可能是由于设施菜地种植过程中大量施加有机肥造成的,并且设施菜地土壤温度及含水率较高,增加了土壤蔗糖酶活性,加剧土壤CO₂排放.②当种植年限超过10 a,设施菜地施肥量减少,降低了土壤微生物可利用底物的供应.因此,种植12 a设施菜地土壤CO₂排放量降至农田水平.③种植6 a设施菜地土壤的w（DOC）（DOC表示水溶性有机碳）比农田较高.④土壤CO₂排放年内分配不均匀,表现为农田及荒废设施菜地土壤CO₂排放主要集中在5—8月,其排放量占全年的75.09%、87.02%,峰值出现在7月.种植6 a设施菜地土壤CO₂排放主要集中在5—8月和11月—翌年2月,两阶段排放量分别占全年的48.48%、42.34%,峰值分别出现在7月、12月.研究显示,农田转变为设施菜地短期（种植6 a）内可显著促进土壤CO₂排放及DOC的输出,但随着种植年限延长至12 a,土壤CO₂排放降至农田水平.      

Impact of Climate Change on Maize Yield in Central and Northern Greece: A Simulation Study with Ceres-Maize

The potential impacts of climate change on the phenology and yield of two maize varieties in Greece were studied. Three sites representing the central and northern agricultural regions were selected: Karditsa, Naoussa and Xanthi. The CERES-Maize model, embedded in the Decision Support System for Agrotechnology Transfer (DSSAT 3.0), was used for the crop simulations, with current and possible future management practices. Equilibrium doubled CO₂ climate change scenarios were derived from the GISS, GFDL, and UKMO general circulation models (GCMs); a transient scenario was developed from the GISS GCM transient run A. These scenarios predict consistent increases in air temperature, small increases in solar radiation and precipitation changes that vary considerably over the study regions in Greece. Physiological effects of CO₂ on crop growth and yield were simulated. Under present management practices, the climate change scenarios generally resulted in decreases in maize yield due to reduced duration of the growing period at all sites. Adaptation analyses showed that mitigation of climate change effects may be achieved through earlier sowing dates and the use of new maize varieties. Varieties with higher kernel-filling rates, currently restricted to the central regions, could be extended to the northern regions of Greece. In the central regions, new maize varieties with longer grain-filling periods might be needed.     

Is CO2 flux from oil palm plantations on peatland controlled by soil moisture and/or soil and air temperatures?

Measurements of carbon dioxide (CO₂) flux at the soil surface of oil palm (Elaeis guineensis Jacq.) plantations on peatlands typically exhibit considerable temporal and spatial variation, which challenges the derivation of emission factors required in land use discussions. We tested 20 cm surface soil moisture content, and the diurnal patterns in soil and air temperatures as CO₂ flux controls during an annual measurement schedule in a 15-year-old oil palm plantation in Jambi Province, Sumatra, Indonesia. A total of 480 CO₂ flux measurements were obtained using an Infrared Gas Analyser (IRGA) at six different time intervals each day. Samples were recorded at 20 observation points distributed along four transects located 15, 42, 50, 70, and 84 m from the edge of the drainage canal. Results showed CO₂ flux exhibited no relationship to soil and air temperature, however values tended to increase with volumetric soil moisture content; the highest annual flux of 55 Mg ha^?1 yr^?1 was observed at mid-day, when air temperature was highest, and lowest at dawn when soil and air temperatures were lowest. CO₂ flux decreased consistent with distance from the drainage canal, suggesting a higher flux with a deeper water table. This result indicates a shallow water table must be maintained. The annual mean CO₂ flux of 46?±?30 Mg CO₂ ha^?1 yr^?1 was comparable to other studies, and can be set as a baseline emissions factor for areas with similar land use and peat characteristics.     

不同耕作方式下土壤水分状况对土壤呼吸的初期影响

以2001年在东北典型黑土上进行的保护性耕作长期定位试验下免耕、垄作及常规耕作土壤进行了室内培养实验,按照田间持水量(water-holding capacity,WHC)的30%、60%、90%、120%、150%、180%、210%、240%、270%设定了9个水分梯度,并分别对其二氧化碳(CO_2)排放量进行了22 d的短期观测,以研究不同耕作方式下土壤水分状况对土壤呼吸的初期影响.结果表明:1干土条件下在加水培养初期,3种耕作方式均产生了明显的激发效应,并且土壤呼吸速率与土壤含水量间存在正相关关系.2除干旱(30%WHC)及淹水(240%WHC、270%WHC)条件下,3种耕作方式CO_2排放通量分别为免耕垄作常规耕作.3对不同耕作方式下土壤水分状况及CO_2排放通量进行了方程拟合,在30%~270%WHC条件下,免耕的CO_2排放通量与水分状况拟合为二次回归方程,而垄作与常规耕作则是线性回归方程.在30%~210%WHC条件下,免耕与垄作下土壤CO_2排放通量与水分状况均可拟合为较好的对数方程,可决系数R~2分别为0.966、0.956.     

保护性耕作对后茬冬小麦土壤CO2和N2O排放的影响

为研究保护性耕作对后茬冬小麦土壤CO2和N2O排放的影响,在前茬进行常规耕作(T)、免耕(NT)、免耕+秸秆覆盖(NTS)、常规耕作+秸秆施用(TS)这4种处理,采用静态箱-气相色谱法分析土壤CO2和N2O排放通量.结果表明,保护性耕作没有改变后茬土壤CO2和N2O排放的季节性规律,对冬小麦生物量无明显影响;保护性耕作显著减少了土壤CO2和N2O累积排放量.与T相比,TS、NT、NTS的全生育期土壤CO2累积排放量分别降低了5.95%(P=0.132)、12.94%(P=0.007)和13.91%(P=0.004),土壤N2O累积排放量分别减少了31.23%(P=0.000)、61.29%(P=0.000)和33.08%(P=0.000).本研究表明免耕与秸秆施用能减少后茬作物生长季土壤的CO2和N2O排放量.     

透明箱法监测稻田生态系统CO2通量的研究

采用透明箱法对稻田生态系统CO₂通量进行了田间定位观测,并对透明箱内CO₂浓度的变化规律及拟合方法进行了探讨.结果表明,在水稻生长旺盛期的晴天(白天),箱内CO₂浓度随测定时间呈非线性变化,因此用常规的线性拟合法(LR)计算的CO₂净吸收通量明显低于指数一级动力学拟合法(ER).在水稻生长旺盛期的阴天、成熟期以及夜间,箱内CO₂浓度随测定时间表现为线性变化,LR法与ER法的CO₂净吸收通量计算结果无显著差异.在水稻生长期间,基于LR法的稻田生态系统碳累积吸收量结果明显低于ER法,而后者与常用方法(植物净固定碳量减去土壤异氧呼吸排放碳量)的计算结果比较接近.证实了当植被同化速率较强时,采用ER法对透明箱内CO₂浓度随时间的变化进行拟合并计算CO₂净吸收通量较为适宜.同时表明采用透明箱法观测农田生态系统CO₂通量是可行的.