夜间增温和施肥对亚高山针叶林土壤呼吸的短期影响

开展土壤呼吸对全球气候变化的响应研究对预测全球碳循环具有重要作用.采用红外辐射加热器模拟增温结合外施氮肥的方法,研究川西亚高山针叶林两种主要树种幼苗——云杉(Picea asperata)和岷江冷杉(Abiesfaxoniana)土壤呼吸动态变化对增温和施肥的短期响应.结果表明:在试验处理期间(2008年9月～2009年7月),空气平均温度和5 cm土壤平均温度分别比对照提高了2.03℃和4.10℃.两种幼苗样地土壤呼吸速率在各处理下都表现出明显的季节和日动态.增温对两种幼苗土壤呼吸速率的影响总体表现为促进作用,而施肥处理则表现为抑制效应.但两种幼苗土壤呼吸对增温和施肥处理的响应又存在一定的差异,且与季节密切相关.增温使云杉幼苗土壤呼吸年通量在非施肥和施肥条件下分别增加了22.30%和8.82%,而使冷杉土壤呼吸速率年通量分别仅增加了4.85%和4.45%.两种幼苗在各处理下土壤呼吸速率与地下5 cm土壤温度之间具有显著的指数关系.增温和施肥处理均提高了两种幼苗土壤呼吸速率的Q10值,但云杉幼苗土壤呼吸对温度变化的响应比冷杉更为敏感.总之,不同树种土壤呼吸特征对全球气候变化的响应差异进一步增加了对该区森林碳源/汇功能预测的不确定和复杂性,其内在机理有待进一步深入研究.     

杀虫剂对土壤温室气体排放的影响

在室内培养条件下,研究了在施用尿素的土壤（有效氮质量分数为200 mg·kg^-1）中分别添加不同剂量（在5、10和50 mg·kg^-1）的吡虫啉和毒死蜱2种杀虫剂时,杀虫剂对土壤温室气体CO2、N2O和CH4排放过程的影响。结果表明：和空白相比,施用尿素明显地增加了土壤中温室气体N2O和CO2的排放量,但对CH4的排放无明显影响。当施用5 mg·kg^-1吡虫啉时,土壤中N2O和CO2排放总量和尿素处理相比无明显差异,但吡虫啉用量上升至10和50 mg·kg^-1时则显著降低了温室气体N2O和CO2的排放量（P〈0.05）,N2O排放量分别降低了26.89%和53.10%,CO2排放量分别降低15.14%和13.79%。毒死蜱在5、10和50 mg·kg^-1三种用量时土壤的N2O排放量与尿素处理相比均无明显差异。毒死蜱在5和10 mg·kg^-1用量时则明显抑制了土壤CO2的排放（p〈0.05）,分别比尿素处理降低了19.88%和19.02%;用量上升到50 mg·kg^-1用量时,土壤的CO2排放量与尿素处理相比无差异。吡虫啉和毒死蜱对CH4排放量均没有明显影响。可见,杀虫剂施用明显影响到土壤温室气体的排放,但不同杀虫剂品种及其用量的效应也存在明显差异。     

川西亚高山暗针叶林恢复初期土壤酶活性研究

研究以川西亚高山暗针叶林恢复过程中初级阶段的鲜类阔叶林（MBLF）、鲜类针阔混交林（MCBLF）和箭竹阔叶林（BBLF）土壤为研究对象,针对不同森林类型采用多点分层[0-10 cm（A层）、10-20 cm（B层）、20-30 cm（C层）和30-40 cm（D层）]采样、测定混合样的方式,研究了不同森林类型不同土层土壤的pH值、有机碳、全氮、全磷含量及脲酶、酸性磷酸酶、淀粉酶、过氧化氢酶、蛋白酶和蔗糖酶活性。研究结果表明,MBLF、MCBLF、BBLF不同土层土壤pH值均低于5.0,有机碳、全氮、全磷含量呈下降趋势,且有机碳、全氮与A层土壤差异显著（P〈0.05）。MBLF和BBLF随土层深度的增加脲酶活性较A层呈显著下降趋势（P〈0.05）,而MCBLF土壤脲酶活性以B、C层活性最高,分别为A层的1.22和1.08倍。蔗糖酶和酸性磷酸酶活性呈现先升后降的趋势,均以MCBLF活性最高;在林型MCBLF和BBLF中,随着土层深度的增加,蛋白酶和淀粉酶活性较A层显著降低（P〈0.05）,而MBLF、MCBLF、BBLF过氧化氢酶活性则一直呈显著下降趋势（P〈0.05）,D层过氧化氢酶活性分别为A层的60.21%、73.37%和46.84%。     

施肥对冬小麦土壤温室气体排放的影响

通过对不同施肥处理下冬小麦（Triticum aestivum）农田土壤温室气体排放的测定,研究了巢湖流域圩区农业生态系统春季土壤温室气体的排放特点。结果表明,土壤温室气体通量与温度等因素正相关,与土壤水分质量分数负相关,不同施肥方式对土壤温室气体排放也有重要影响。土壤系统维持持续的CO2气体排放,土壤是CO2气体的净排放源;CH4的情况则较为复杂,在较低温度条件下,土壤可以吸收少量的CH4气体,随着温度的上升开始出现CH4的净排放。与对照相比,优化施肥、减量施肥＋秸秆还田、常规施肥可减少的温室气体排放量折合CO2体积当量分别相当于减排12.0%、20.5%、17.6%,合理的施肥管理可以大幅度减少温室气体的排放。     

人为干扰对川西亚高山针叶林土壤物理性质的影响

研究了川西亚高山针叶人工林在几种不同强度人为干扰下林地土壤物理性质。结果表明，随人为干扰强度的增加，土壤中细土（粉粒、粘粒）和大团聚体数量减少，小团聚体和原生土壤颗粒增加；土壤表层孔隙度减小，尤其是大孔隙明显减少；土壤有效水降低，持水供水能力减弱，渗透系数减小。川西亚高山人工针叶林土壤生态功能随人为干扰强度的增加而减弱，建议在最易受人为干扰的造林地区，最好是在造林初期封山育林。图1表5参13     

川西亚高山针叶林凋落物对土壤理化性质的影响

研究了川西地区亚高山人工云杉林及天然林凋落物变化及其对土壤理化性质的影响.结果表明30 a人工云杉林、40 a人工云杉林及次生林和原始林年凋落量分别为2.67×103 kg hm-2、4.38×103 kg hm-2、4.27×103 kg hm-2和4.77×103 kg hm-2,枯枝落叶层贮量分别为3.19×104 kg hm-2、3.64×104 kg hm-2、1.42×105 kg hm-2和1.45×105 kg hm-2,通过凋落物归还土壤的营养元素(N、P、K、Ca和Mg)的年归还总量依次为82.01 kg hm-2、129.04 kg hm-2、130.57 kg hm-2、170.55 kg hm-2,凋落物年失重率分别为24.35%、22.87%、36.96%和32.23%,人工林凋落物分解一半所需时间约为2.5 a,天然林约为1.6 a.各样地土壤含水量、孔隙度和养分含量大致表现为次生林≈原始林>30 a人工林>40 a人工林.森林年凋落量、枯枝落叶层贮量、养分归还量和年失重率与土壤自然含水率、有机质、N、P、K的含量呈正相关,与土壤容重呈负相关.人工云杉林生态功能的恢复滞后于次生林,凋落物分解缓慢是影响该地区土壤水分和养分状况的重要因素.人工云杉林进入旺盛生长期后,凋落量增加,养分归还量增大,此时期森林对土壤肥力有较高的补给潜力;但凋落物分解过缓,大量养分元素累积于枯枝落叶层,不能及时进入土壤,造成土壤理化性质状况较差.图1 表6 参18     

土壤温室气体产生与排放影响因素研究进展

土壤是温室气体(如CO2、CH4和N2O)产生的重要源,土壤温室气体主要来自于微生物呼吸,植物根呼吸和土壤动物呼吸。土壤温室气体排放机制及其影响因素是研究全球碳氮循环的重要组成部分。研究表明,影响土壤呼吸的因素很多,土壤理化性质如温度、含水量、有机质含量、pH值、氧化还原电位(Eh)、土壤质地等因素都可以直接影响土壤微生物量及其生理生化过程,从而影响温室气体排放。其中,土壤温度,湿度、有机质含量是关键性因素。此外,地域气候、土地利用以及土地覆盖变化也可以通过改变土壤理化性质及呼吸底物来影响温室气体排放。文章重点论述了土壤温室气体排放机制,排放影响因素以及排放的日变化和季节变化规律。认为今后的研究方向应该是土壤微环境碳氮循环机制,土壤呼吸模型在尺度上的推延,以及注重中国陆地与近海生态系统碳固定及减少碳排放的对策和应用技术研究,特别在人工林碳固定及农业固碳减排方面加大研究力度等。     

温度和土壤含水量对温带森林土壤温室气体排放的影响

全球温带森林土壤是影响陆地主要温室气体——二氧化碳(CO2)、甲烷(CH4)和氧化亚氮(N2O)的重要源和汇,土壤温湿度的交互作用是影响温室气体吸收与释放的重要影响因素,但目前针对温带森林土壤的温湿度变化对温室气体的影响研究甚少。本研究用自动控制温湿度的人工气候箱模拟不同温度(5、10、15℃)和土壤水分含量(最大田间持水量的20%、40%、60%、80%)环境,比较研究3种我国温带典型森林土壤CO2、N2O、CH4的通量动态变化及其综合增温潜势(GWP)。结果表明:温度和土壤含水量增加会导致3种森林土壤的CO2和N2O表现为排放源、CH4为弱吸收汇。其中,阔叶林和针叶林土壤CO2排放通量变化幅度相近,针阔混交林的排放通量波动范围较小于二者;针阔混交林和阔叶林土壤的N2O排放通量变化幅度相近,而针叶林土壤的排放通量波动范围明显高于二者;阔叶林土壤CH4吸收通量随温度和土壤含水量增加的幅度较其他2种林型显著。3种林型土壤GWP受温度和土壤含水量影响的敏感性由高到低依次为阔叶林针叶林针阔混交林。     

中国农田主要温室气体排放特征与控制技术

全球气候变化已成为不争的事实,已经引起了各国科学家和政府的高度重视。人类活动向大气中排放的二氧化碳（CO2）、甲烷（CH4）和氧化亚氮（N2O）等温室气体浓度的增加是导致气候变化的重要原因之一。农田土壤是这三种温室气体的重要来源。文章概述了农田土壤CO2、CH4和N2O三种主要温室气体的排放机制,系统总结了国内对这三种温室气体排放通量的观测研究,提出了相应的减排技术对策,并对目前的研究问题和未来的发展方向作了深入的探讨,以期为控制农田土壤温室气体排放、发展低碳农业提供参考依据。     

川西亚高山针叶林人工恢复过程的土壤性性质变化

研究川西岷江上游高山针叶林区不同年龄阶段的人工云杉林地凋落物及其养分贮量和土壤养分及主要理化性质的变化趋势,结果表明：（1）人工云杉林的凋落物及其氮、磷、钾贮量、以60年代抚育成熟林最高,40年代抚育成熟林大幅度下降,分别下降34．1％及49．8％,70．5％,46．7％;（2）人工云杉林地表土的有机质、全氮、全磷随林龄的增加而降低,据典型土壤剖面资料,40年代比60年代抚育林土壤分别降低72．4％,78．6％,42．2％;（3）相应于土壤有机质的变化,与60年代人工云杉成熟林相比,40年代成熟林土壤的自然含水量、总孔工、保肥力（CEC）和交换性盐某养分等均明显降低,表现出肥力退化的趋势,因此,当人工云杉林达到成熟林后,后采取诸如适当间伐等措施,以改善林地生态条件,避免土壤肥力退化,图4表6参11。     

Assessment of future climate change impacts on water-heat-salt migration in unsaturated frozen soil using CoupModel

• A model coupling water-heat-salt of unsaturated frozen soil was established. • Future temperature, precipitation, and evaporation increase in freeze–thaw period. • Soil water, heat, and salt transport are closely coupled during freeze–thaw period. • Freeze–thaw cycles and future climate change can exacerbate salinization. The transport mechanisms of water, heat, and salt in unsaturated frozen soil, as well as its response to future climate change are in urgent need of study. In this study, western Jilin Province in north-eastern China was studied to produce a model of coupled water-heat-salt in unsaturated frozen soil using CoupModel. The water, heat, and salt dynamics of unsaturated frozen soil under three representative concentration pathway (RCP) scenarios were simulated to analyze the effects of future climate change on unsaturated frozen soil. The results show that water, heat, and salt migration are tightly coupled, and the soil salt concentration in the surface layer (10 cm) exhibits explosive growth after freezing and thawing. The future (2020–2099) meteorological factors in the study area were predicted using the Statistical Downscaling Model (SDSM). For RCP2.6, RCP4.5, and RCP8.5 scenarios, future temperatures during the freeze–thaw period increased by 2.68°C, 3.18°C, and 4.28°C, respectively; precipitation increased by 30.28 mm, 28.41 mm, and 32.17 mm, respectively; and evaporation increased by 93.57 mm, 106.95 mm, and 130.57 mm, respectively. Climate change will shorten the freeze–thaw period, advance the soil melting time from April to March, and enhance water and salt transport. Compared to the baseline period (1961–2005), future soil salt concentrations at 10 cm increased by 1547.54 mg/L, 1762.86 mg/L, and 1713.66 mg/L under RCP2.6, RCP4.5, and RCP8.5, respectively. The explosive salt accumulation is more obvious. Effective measures should be taken to prevent the salinization of unsaturated frozen soils and address climate change.     

Impact of climate change on soil moisture dynamics in Brandenburg with a focus on nature conservation areas

Global warming impacts the water cycle not only by changing regional precipitation levels and temporal variability, but also by affecting water flows and soil moisture dynamics. In Brandenburg, increasing average annual temperature and decreasing precipitation in summer have already been observed. For this study, past trends and future effects of climate change on soil moisture dynamics in Brandenburg were investigated, considering regional and specific spatial impacts. Special Areas of Conservation (SACs) were focused on in particular. A decreasing trend in soil water content was shown for the past by analyzing simulation results from 1951 to 2003 using the integrated ecohydrological model SWIM [Krysanova, V., Müller-Wohlfeil, D.-I., Becker, A., 1998. Development and test of a spatially distributed hydrological/water quality model for mesoscale watersheds. Ecol. Model. 106, 261–289]. The trend was statistically significant for some areas, but not for the entire region. Simulated soil water content was particularly low in the extremely dry year 2003. Comparisons of simulated trends in soil moisture dynamics with trends in the average annual Palmer Drought Severity Index for the region showed largely congruent patterns, though the modeled soil moisture trends are characterized by a much higher spatial resolution. Regionally downscaled climate change projections representing the range between wetter and drier realizations were used to evaluate future trends of available soil water. A further decrease of average available soil water ranging from −4% to −15% was projected for all climate realizations up to the middle of the 21st century. An average decrease of more than 25 mm was simulated for 34% of the total area in the dry realization. Available soil water contents in SACs were generally higher and trends in soil moisture dynamics were lower mainly due to their favorable edaphic conditions. Stronger absolute and relative changes in the simulated trends for the past and future were shown for SACs within Brandenburg than for the state as a whole, indicating a high level of risk for many wetland areas. Nonetheless, soil water content in SACs is expected to remain higher than average under climate change conditions as well, and SACs therefore have an important buffer function under the projected climate change. They are thus essential for local climate and water regulation and their status as protected areas in Brandenburg should be preserved.     

武夷山自然保护区常绿阔叶林优势种对土壤呼吸的影响

为揭示森林土壤呼吸异质性的影响因素,以武夷山自然保护区常绿阔叶林优势种甜槠(Castanopsis eyrei)、细叶青冈(Cyclobalanopsis tenuifolia)、米槠(Castanopsis carlesii)为研究对象,采用LI-8100碳通量系统测定土壤呼吸速率及其影响因子土壤温度、土壤含水量值,...     

Uncertainty in future soil carbon trends at a central U.S. site under an ensemble of GCM scenario climates

This study uses DAYCENT model to investigate the sensitivity of soil organic carbon (SOC) at an intensely cultivated site in the U.S. Midwest under an ensemble of scenario climates predicted by IPCC models. The model ensemble includes three IPCC models (Canadian, French, German), three emission scenarios (B1, A1B, A2) and three time periods (late 20th, mid-21st, late 21st century). DAYCENT shows that SOC at the site would decline by 0.3-2.6 kg m⁻² (5-35%) depending on the models and scenarios from late 20th to mid-21st century despite a larger increase of future net primary production (NPP) than respiration. The future SOC decrease is mostly attributable to harvest loss. The wide spread in future SOC decline rates are in part because SOC decrease (by respiration) is directly proportional to SOC itself. Any uncertainty in absolute SOC in DAYCENT would translate directly into its trend, unlike other variables such as temperature whose trends are independent of their values themselves, contrasting the reliability of SOC trend with temperature change.     

Modelling carbon and nitrogen dynamics in forest ecosystems of Central Russia under different climate change scenarios and forest management regimes

The individual-based stand-level model EFIMOD was used for large-scale simulations using standard data on forest inventories as model inputs. The model was verified for the case-study of field observations, and possible sources of uncertainties were analysed. The approach developed kept the ability for fine-tuning to account for spatial discontinuity in the simulated area. Several forest management regimes were simulated as well as forest wildfires and climate changes. The greatest carbon and nitrogen accumulations were observed for the regime without cuttings. It was shown that cuttings and wildfires strongly influence the processes of carbon and nitrogen accumulations in both soil and forest vegetation. Modelling also showed that the increase in annual average temperatures resulted in the partial relocation of carbon and nitrogen stocks from soil to plant biomass. However, forest management, particularly harvesting, has a greater effect on the dynamics of forest ecosystems than the prescribed climate change.     

Modelling phytoclimatic versatility as a large scale indicator of adaptive capacity to climate change in forest ecosystems

CLIMPAIR is a new phytoclimatic model, correlative and niche-based, which simultaneously assesses non-linear, non-statistical and dual measurements of proximity/potentiality of a site with respect to a number of climatic ranges of species, defined by convex hulls, within a suitability space. This set of phytoclimatic distances makes it possible to evaluate the degree to which each species is suitable for that site. Considering not only the number of species compatible (expected species richness), but also all those compatible covers presenting a high level of suitability evenness and finally applying an indicator derived from Shannon's classic entropy index to the set of standardized phytoclimatic coordinates in the suitability hyperspace, we can evaluate the phytoclimatic entropy which may be considered as a means of estimating the phytoclimatic versatility of the site. A site with high phytoclimatic entropy would promise versatile future behaviour, characterized by a wide range of possibilities of adaptation to climate change, and hence versatility can be used as an index of resilience and ability of a forest ecosystem to adapt to climate change. The model has been applied to peninsular Spain for 18 forest tree species and 12 climatic variables between the current mean climate (period 1951-1999) and a future climatic scenario (period 2040-2069). The results generally point to a significant decrease in the versatility of forest tree formations in the area studied, which is not homogeneous owing to a dual altitudinal/latitudinal decoupling. The decrease in versatility is greater in Mediterranean biogeographical areas than in Euro-Siberian ones, where in some cases it actually increases. In altitudinal terms, areas at elevations of less than 1500 m tend to become less versatile than areas situated at higher elevations, where versatility increases partly as a result of enrichment of alpine conifer forests with broadleaf species.     

Subgame-perfect cooperative agreements in a dynamic game of climate change

We model climate change as a dynamic game and prove existence of a unique subgame-perfect Nash equilibrium (SPNE) that is also Markov perfect. We interpret this unique SPNE as the business-as-usual (BAU) equilibrium and show that if the countries are not sufficiently symmetric then the familiar trigger strategy equilibria may not be Pareto improvements over the BAU equilibrium and may even lack efficiency properties. We then motivate and introduce a subgame-perfect cooperative agreement as an improvement over the BAU equilibrium in the sense that every country or coalition of countries is better off in every subgame, irrespective of the extent of heterogeneity of the countries. We characterize subgame-perfect cooperative agreements and identify sufficient conditions for their existence. We show that (direct or indirect) transfers between countries to balance the costs and benefits of controlling climate change are a necessity and not a matter of approach.     

Modelling the impact of thermal adaptation of soil microorganisms and crop system on the dynamics of organic matter in a tropical soil under a climate change scenario

No consensus currently exists about how climate change should affect the status of soil organic matter (SOM) in the tropics. In this study, we analyse the impact of climate change on the underlying mechanisms controlling SOM dynamics in a ferralsol under two contrasting tropical crops: maize (C4 plant) and banana (C3 plant). We model the effect of microbial thermal adaptation on carbon (C) mineralisation at the crop system scale and introduce it in the model STICS, which was previously calibrated for the soil-crop systems tested in this study. Microbial thermal adaptation modelling is based on a reported theory for thermal acclimation of plant and soil respiration. The climate is simulated from 1950 to 2099 for the tropical humid conditions of Guadeloupe (French Antilles), using the ARPEGE model and the IPCC emission scenario A1B. The model predicts increases of 3.4 °C for air temperature and 1100 mm yr⁻¹ for rainfall as a response to an increase of 375 ppm for atmospheric carbon dioxide concentration in the 2090-2099 decade compared with the 1950-1959 decade. The results of the STICS model indicate that the crop affects the response of SOM to climate change by controlling the change in several variables involved in C dynamics: C input, soil temperature and soil moisture. SOM content varies little until 2020, and then it decreases faster for maize than for banana. The decrease is weakened under the hypothesis of thermal adaptation, and this effect is greater for maize (−180 kg C ha⁻¹ yr⁻¹ without adaptation and −140 kg C ha⁻¹ yr⁻¹ with adaptation) than for banana (−60 kg C ha⁻¹ yr⁻¹ and −40 kg C ha⁻¹ yr⁻¹, respectively). The greater SOM loss in maize is mainly due to the negative effect of warming on maize growth decreasing C input from residues. Climate change has a small effect on banana growth, and SOM loss is linked to its effect on C mineralisation. For both crops, annual C mineralisation increases until 2040, and then it decreases continuously. Thermal adaptation reduces the initial increase in mineralisation, but its effect is lower on the final decrease, which is mainly controlled by substrate limitation. No stabilisation in SOM status is attained at the end of the analysed period because C mineralisation is always greater than C input. Model predictions indicate that microbial thermal adaptation modifies, but does not fundamentally change the temporal pattern of SOM dynamics. The vegetation type (C3 or C4) plays a major role in SOM dynamics in this tropical soil because of the different impact of climate change on crop growth and then on C inputs.