模拟增温和降水变化对北京东灵山辽东栎种子出苗和幼苗生长的影响

气候变化将增加地表平均气温、改变降水格局, 会影响到种子出苗和幼苗生长, 进而影响物种的更新动态。为探讨增温和降水变化对东灵山地区建群树种辽东栎(Quercus mongolica)种子出苗和一年生幼苗生长和适应状况的影响, 该文利用环境控制生长箱开展了温度和降水量的双因素控制实验, 温度设置3个梯度: 月平均气温(对照)、增温2 ℃和增温6 ℃; 降水量设置3个梯度: 月平均降水量(对照)、减水30%和加水30%。结果表明: 1)辽东栎的种子出苗率和一年生幼苗的生长对增温和降水变化的响应不一致, 种子出苗率主要受到降水及其与温度交互作用的影响, 幼苗生长仅受到温度和降水独立作用的影响; 2)春季增温2 ℃或降水量增加均使辽东栎种子出苗期提前; 增温6 ℃与降水量减少的水热组合延迟了种子出苗期并使其存活率和出苗率显著降低, 但在此温度下增加降水量则增加了出苗速率和出苗率。3)增温2 ℃对其生长无显著影响, 增温6 ℃则在不同水分条件下显著地增加了幼苗的比叶面积、抑制了叶的伸长生长, 同时也显著降低了各器官生物量积累, 并减少了幼苗生物量向根的分配; 降水量减少降低了幼苗根生物量, 但未影响总生物量和根冠比, 降水量增加显著促进了幼苗地上部分的生长, 特别是叶的生长。因此, 适当地增温或增加降水量将增加辽东栎幼苗的更新潜力, 但增温和降水量减少导致的干旱化将显著降低幼苗的更新潜力。     

羊草叶片气体交换参数对温度和土壤水分的响应

 采用生长箱控制的方法研究了羊草(Leymus chinensis)幼苗叶片光合参数对5个温度和5个水分梯度的响应和适应。结果表明：轻度、中度土壤干旱并没有限制羊草叶片的生长,对气体交换参数亦无显著影响,反映了羊草幼苗对土壤水分胁迫的较高耐性。叶片生物量以26 ℃时最大,其它依次为23 ℃、20 ℃、29 ℃和32 ℃。温度升高使气孔导度和蒸腾速率增加, 却使光合速率和水分利用效率降低。水分和温度对叶片生物量、光合速率、气孔导度和蒸腾速率存在显著的交互作用,表明高温加强了干旱对叶片生长和气体交换的影响, 降低了羊草对土壤干旱的适应能力。高温和干旱的交互作用将显著减少我国半干旱地区草原的羊草生产力。     

Climate warming delays and decreases seedling emergence in a Mediterranean ecosystem

Temperature and moisture impact strongly on the early stages of a plant's life cycle. Global climate change is altering the environmental cues that seeds receive resulting in compromised seedling emergence and changes to seedling performance. Here, we investigate how temperature and moisture affect these early stages of plant development in four Banksia species collected from a longitudinal climate gradient in southwest Western Australia. A common garden was used to examine the between‐species and among‐population variation in seedling emergence, growth and leaf traits under two soil temperature regimes and three levels of precipitation. We predicted that reduced moisture and increased temperature would delay and reduce total seedling emergence and negatively affect seedling performance. Furthermore, we expected that within species there would be geographically structured variation in response to the treatments. Species differed significantly in all measured traits. Soil warming resulted in strong impacts on regenerative traits, significantly slowing seedling emergence in two species and reducing total seedling emergence in three species. In addition, warming altered seedling performance with significant reductions to the above‐ground leaf biomass ratio of three species. In contrast, response to soil moisture manipulation was minimal across all species but possibly due to issues regarding implementation of an effective moisture treatment. The species that showed the greatest decline in emergence under warmed conditions (B. quercifolia) also showed the smallest vegetative shift; the species with the smallest decline in emergence (B. coccinea) showed a relatively large vegetative shift. Among‐population differences were significant for many traits, however, trait differentiation was inconsistent across species and, contrary to our hypothesis, the variation we observed was not clearly associated with the climate gradient. As these among‐population differences in traits are not easy to predict, we caution the use of simple rules for choosing seed populations for conservation and restoration.     

Dynamic Modelling of Northeast China Transect Responses to Global Change-A Regional Vegetation Model Driven by Remote Sensing Information

A remote sensing driven dynamic simulation model was developed for terrestrial ecosystems. The model was encoded in C language under the environment of SPAMOD, a spatial simulation tool developed under MS Windows. The model was applied to Northeast China Transect to simulate the dynamics of green and non-green biomass of 12 vegetation categories as well as soil water of 3 layers. The green biomass was converted to normalized difference vegetation index (NDVI) of AVHRR remote sensing, and compared with the observed NDVI from 1986 to 1990. The model was also compared with ground measurements of biomass and productivity along the transect. Ambient CO2 concentration, monthly mean air temperature and monthly precipitation were regarded as the three basic driving variables for global change study. The model also included the effects of temperature and precipitation on sunshine fracti6n, relative humidity, radiation, soil water and eventually plant growth. For each CO2 and climatic scenario, the model was run for an equilibrium solution. The results indicated that the natural vegetation of the transect was very sensitive to variation of temperature and CO2 concentration. With CO2 remained unchanged and temperature increased by 4 CE, the induced increase in evapotranspiration could reduce the average biomass and net primary productivity (NPP) over the whole transect by 32.1% and 41.9 % respectively. In contrast, a 20 % increase in precipitation alone could lead to an increase of the average biomass and NPP by 8.1% and 13.4% respectively. Under the present climatic conditions, CO2 doubling could increase the average biomass and NPP by 12.2% and 17.1% respectively. Because of compensation between the positive effects of CO2 and precipitation increase and the negative effect of temperature increase, a comprehensive interaction among CO2 doubling, a 20% increase of precipitation and a 4 ℃ increase of temperature altogether can lead to approximately a 2% reduction in the biomass and NPP of the natural vegetation over the whole transect.     

Litter decomposition in grasslands of Central North America (US Great Plains)

One of the major concerns about global warming is the potential for an increase in decomposition and soil respiration rates, increasing CO₂ emissions and creating a positive feedback between global warming and soil respiration. This is particularly important in ecosystems with large belowground biomass, such as grasslands where over 90% of the carbon is allocated belowground. A better understanding of the relative influence of climate and litter quality on litter decomposition is needed to predict these changes accurately in grasslands. The Long‐Term Intersite Decomposition Experiment Team (LIDET) dataset was used to evaluate the influence of climatic variables (temperature, precipitation, actual evapotranspiration, and climate decomposition index), and litter quality (lignin content, carbon : nitrogen, and lignin : nitrogen ratios) on leaf and root decomposition in the US Great Plains. Wooden dowels were used to provide a homogeneous litter quality to evaluate the relative importance of above and belowground environments on decomposition. Contrary to expectations, temperature did not explain variation in root and leaf decomposition, whereas precipitation partially explained variation in root decomposition. Percent lignin was the best predictor of leaf and root decomposition. It also explained most variation in root decomposition in models which combined litter quality and climatic variables. Despite the lack of relationship between temperature and root decomposition, temperature could indirectly affect root decomposition through decreased litter quality and increased water deficits. These results suggest that carbon flux from root decomposition in grasslands would increase, as result of increasing temperature, only if precipitation is not limiting. However, where precipitation is limiting, increased temperature would decrease root decomposition, thus likely increasing carbon storage in grasslands. Under homogeneous litter quality, belowground decomposition was faster than aboveground and was best predicted by mean annual precipitation, which also suggests that the high moisture in soil accelerates decomposition belowground.     

未来气候变化对黄土高原黑河流域水资源的影响

气候变化对黄土高原的水资源有重要影响,对其影响进行评估可以为区域发展提供重要的决策依据.基于分布式水文模型SWAT和4种全球环流模式的各3种排放情景,评估了2010～2039年黄土高塬沟壑区黑河流域水资源对气候变化的潜在响应.结果表明,黑河流域2010～2039年的年均降水变化-2.3%～7.8%,年均最高和最低温度分别升高0.7～2.2 ℃和1.2～2.8 ℃,年均径流量变化-19.8%～37.0%,1.2 m剖面年均土壤水分含量变化-5.5%～17.2%,年均蒸散量普遍增长0.1%～5.9%;水文气象变量变化趋势复杂,但T检验表明年降水、径流、土壤水分和蒸散增长的概率较大.对于季节变化,降水可能在12～7月份和9月份增长,8月份和10～11月份减少;径流在4～7月份和9～10月份增加,11～3月份和8月份减少;土壤水分在各月都增长;蒸散11～6月份普遍增长,7～10月份减少的可能性较大.未来气候将发生显著变化并对水资源有重要影响,需采取必要的措施来减缓其不利影响.     

细根对降水变化响应的meta分析

细根对土壤水分含量变化十分敏感, 增加和减少降水直接影响土壤水分含量。为探索细根对降水变化的响应, 该文从48篇已发表的国内外研究论文中搜集到202组数据, 通过meta分析的方法揭示细根生物量、生产量、周转率、根长度密度、比根长及细根分解对增加和减少降水的一般响应规律, 用加权响应比评价降水对细根各指标的影响效应, 降水变化对细根分解的影响用土壤微生物生物量碳的响应比衡量。结果表明: 1)不同类型植物的细根对降水变化的响应程度不同, 灌木细根的响应强于乔木。2)细根各指标对降水变化的响应存在土层空间异质性, 并且降水变化量为50%时细根响应最显著。降水增加50%时, 显著增加20-40 cm土层的细根生物量和0-10 cm土层的细根比根长, 降水减少50%时, 显著减少20-40 cm土层的细根生产量和增加0-10 cm土层的细根根长度密度。3)降水变化实验持续时间的长短会影响细根的响应程度, 短期实验中细根通过形态适应对降水变化做出应对, 而长期实验中细根通过重新分配生物量对降水变化做出响应。4)增加降水促进了细根养分归还, 致使土壤微生物得到了充足的底物资源, 提高了自身活性, 使细根分解加快。     

Response of fine roots to precipitation change: A meta-analysis

细根对土壤水分含量变化十分敏感, 增加和减少降水直接影响土壤水分含量。为探索细根对降水变化的响应, 该文从48篇已发表的国内外研究论文中搜集到202组数据, 通过meta分析的方法揭示细根生物量、生产量、周转率、根长度密度、比根长及细根分解对增加和减少降水的一般响应规律, 用加权响应比评价降水对细根各指标的影响效应, 降水变化对细根分解的影响用土壤微生物生物量碳的响应比衡量。结果表明: 1)不同类型植物的细根对降水变化的响应程度不同, 灌木细根的响应强于乔木。2)细根各指标对降水变化的响应存在土层空间异质性, 并且降水变化量为50%时细根响应最显著。降水增加50%时, 显著增加20-40 cm土层的细根生物量和0-10 cm土层的细根比根长, 降水减少50%时, 显著减少20-40 cm土层的细根生产量和增加0-10 cm土层的细根根长度密度。3)降水变化实验持续时间的长短会影响细根的响应程度, 短期实验中细根通过形态适应对降水变化做出应对, 而长期实验中细根通过重新分配生物量对降水变化做出响应。4)增加降水促进了细根养分归还, 致使土壤微生物得到了充足的底物资源, 提高了自身活性, 使细根分解加快。     

Predominant role of water in regulating soil and microbial respiration and their responses to climate change in a semiarid grassland

Climate change can profoundly impact carbon (C) cycling of terrestrial ecosystems. A field experiment was conducted to examine responses of total soil and microbial respiration, and microbial biomass to experimental warming and increased precipitation in a semiarid temperate steppe in northern China since April 2005. We measured soil respiration twice a month over the growing seasons, soil microbial biomass C (MBC) and N (MBN), microbial respiration (MR) once a year in the middle growing season from 2005 to 2007. The results showed that interannual variations in soil respiration, MR, and microbial biomass were positively related to interannual fluctuations in precipitation. Laboratory incubation with a soil moisture gradient revealed a constraint of the temperature responses of MR by low soil moisture contents. Across the 3 years, experimental warming decreased soil moisture, and consequently caused significant reductions in total and microbial respiration, and microbial biomass, suggesting stronger negatively indirect effects through warming‐induced water stress than the positively direct effects of elevated temperature. Increased evapotranspiration under experimental warming could have reduced soil water availability below a stress threshold, thus leading to suppression of plant growth, root and microbial activities. Increased precipitation significantly stimulated total soil and microbial respiration and all other microbial parameters and the positive precipitation effects increased over time. Our results suggest that soil water availability is more important than temperature in regulating soil and microbial respiratory processes, microbial biomass and their responses to climate change in the semiarid temperate steppe. Experimental warming caused greater reductions in soil respiration than in gross ecosystem productivity (GEP). In contrast, increased precipitation stimulated GEP more than soil respiration. Our observations suggest that climate warming may cause net C losses, whereas increased precipitation may lead to net C gains in the semiarid temperate steppe. Our findings highlight that unless there is concurrent increase in precipitation, the temperate steppe in the arid and semiarid regions of northern China may act as a net C source under climate warming.     

增加降水对干旱河谷区云南松人工林土壤呼吸的影响

2013年5月至2014年6月,对干旱河谷区云南松(Pinus yunnanensis)人工林进行增加降水试验,试验设置对照(CK,0 mm m~(-2)a~(-1))、增水10%(A1,80 mm m~(-2)a~(-1))、增水20%(A2,160 mm m~(-2)a~(-1))和增水30%(A3,240 mm m~(-2)a~(-1))4个处理水平。采用LI-8100开路式土壤碳通量测量系统测定每月土壤呼吸速率。结果表明,4个处理云南松人工林土壤呼吸速率均呈明显的季节变化,7月最高,2月最低。与CK相比,A1年均土壤呼吸速率无显著性差异(P0.05),A2显著增加了12.88%(P0.05),而A3明显减少了17.71%(P0.05)。3个增水处理均提高了土壤呼吸的温度敏感性,减弱了土壤呼吸与土壤湿度的关系。与土壤温度相比,土壤湿度对土壤呼吸的影响相对较小。增水增加了湿季土壤微生物碳、氮含量,干季对微生物碳含量无影响,但明显降低了微生物氮含量。这说明,降水增加对干旱河谷区云南松人工林土壤呼吸的影响是不尽相同的,适当的增水会促进土壤呼吸,而过量的增水会抑制土壤呼吸。