Development of the Pasture Simulation Model for assessing livestock production under climate change

To simulate climate change impacts on pastures and domestic herbivores as well as feedbacks to the atmosphere in terms of greenhouse gas emissions, we have improved a process-based biogeochemical pasture model, PaSim. The overall aim was to simulate the meat and milk production of cattle (suckler cows with their calves, dairy cows and heifers) in response to climate and management, as well as feedbacks to the atmosphere through enteric methane emissions. Herbage intake at grazing was calculated from animal characteristics, herbage availability, diet digestibility and air temperature. With suckler cows, milk production and changes in daily liveweight and body condition were calculated from net energy balance. The net energy intake of dairy cows and their body reserves at turnout to pasture were used to simulate milk production at pasture, daily liveweight and body condition changes, taking into account cow energy requirements and intake capacity. Heifer growth was determined from heifer net energy intake and liveweight. Net energy intake was used to assess enteric methane production through a conversion factor, which depends both on the energy level of the diet and on the herbivore type. The model was assessed against experimental data for animal performance and methane emissions at grazing. Predictions show good agreement with observations. On average, the root mean square error was 6.5, 4 and 2.5% for the liveweights of suckler cows, suckler calves and heifers, respectively, 18% for dairy milk production and 12% for enteric methane emissions. By comparing this new version of the PaSim model to the previous version, we show that a greater accuracy in animal performance modelling improves the sensitivity of the model to interannual climate variability. However, long term (30 years) projections of climate change impacts on grasslands and of radiative feedbacks to the atmosphere are not significantly modified. The originality and the validity domain of the model are discussed.     

Impacts of atrazine in aquatic ecosystems

A portion of all herbicides applied to forests, croplands, road sides, and gardens are inevitably lost to water bodies either directly through runoff or indirectly by leaching through groundwater into ephemeral streams and lakes. Once in the aquatic environment, herbicides may cause stress within aquatic communities and radically alter community structure. Atrazine is one of the most effective and inexpensive herbicides in the world and is consequently used more frequently than any other herbicide. Atrazine is frequently detected in aquatic waters, and has been known to affect reproduction of aquatic flora and fauna, which in turn impacts on the community structure as a whole. This paper presents a summary of the reported direct and indirect impacts of atrazine on aquatic organisms and community structure. The information can be used for developing improved management guidelines and legislation. It is concluded that a single universal maximum limit on the atrazine application in catchments, as suggested by many regulatory authorities, does not provide adequate protection of the aquatic environment. Rather, it is advocated that flexible limits on the application of atrazine be developed in line with the potential risk of contamination to surface and subsurface water and fragility of the aquatic environment.     

生态系统娱乐文化价值的评估研究——兼谈对我国贫困地区的意义

娱乐文化功能是生态系统向人类提供的重要服务功能之一。研究生态系统娱乐文化价值是研究生态系统服务功能的一个重要方面。了解娱乐文化价值的重要性对我国生态系统脆弱但旅游资源丰富的贫困地区的发展具有重要意义。阐述了生态系统娱乐文化价值的内涵与构成，利用国内外有关娱乐文化价值评估的数据资料，总结得出了娱乐文化价值量的重要性，并说明了其评估方法。最后提出了解决我国生态脆弱但旅游资源丰富的贫困地区的可持续发展之路——发展生态旅游，以及生态旅游管理的措施和建议。     

A Watershed-Scale Model for Predicting Nonpoint Pollution Risk in North Carolina

The Southeastern United States is a global center of freshwater biotic diversity, but much of the regions aquatic biodiversity is at risk from stream degradation. Nonpoint pollution sources are responsible for 70% of that degradation, and controlling nonpoint pollution from agriculture, urbanization, and silviculture is considered critical to maintaining water quality and aquatic biodiversity in the Southeast. We used an ecological risk assessment framework to develop vulnerability models that can help policymakers and natural resource managers understand the impact of land cover changes on water quality in North Carolina. Additionally, we determined which landscape characteristics are most closely associated with macroinvertebrate community tolerance of stream degradation, and therefore with lower-quality water. The results will allow managers and policymakers to weigh the risks of management and policy decisions to a given watershed or set of watersheds, including whether streamside buffer protection zones are ecologically effective in achieving water quality standards. Regression analyses revealed that landscape variables explained up to 56.3% of the variability in benthic macroinvertebrate index scores. The resulting vulnerability models indicate that North Carolina watersheds with less forest cover are at most risk for degraded water quality and steam habitat conditions. The importance of forest cover, at both the watershed and riparian zone scale, in predicting macrobenthic invertebrate community assemblage varies by geographic region of the state.     

Nitrate in shallow groundwater in typical agricultural and forest ecosystems in China, 2004-2010

The nitrate-nitrogen(NO 3-N) concentrations from shallow groundwater wells situated in 29 of the Chinese Ecosystem Research Network field stations,representing typical agroand forest ecosystems,were assessed using monitoring data collected between 2004 and 2010.Results from this assessment permit a national scale assessment of nitrate concentrations in shallow groundwater,and allow linkages between nitrate concentrations in groundwater and broad land use categories to be made.Results indicated that most of the NO 3--N concentrations in groundwater from the agroand forest ecosystems were below the Class 3 drinking water standard stated in the Chinese National Standard:Quality Standard for Ground Water(≤ 20 mg/L).Over the study period,the average NO 3--N concentrations were significantly higher in agro-ecosystems(4.1 ± 0.33 mg/L) than in forest ecosystems(0.5 ± 0.04 mg/L).NO 3-N concentrations were relatively higher(> 10 mg N /L) in 10 of the 43 wells sampled in the agricultural ecosystems.These elevated concentrations occurred mainly in the Ansai,Yucheng,Linze,Fukang,Akesu,and Cele field sites,which were located in arid and semiarid areas where irrigation rates are high.We suggest that improvements in N fertilizer application and irrigation management practices in the arid and semi-arid agricultural ecosystems of China are the key to managing groundwater nitrate concentrations.     

PnET-CN模型对东亚森林生态系统碳通量模拟的适用性和不确定性分析

东亚地区森林类型多样,开展区域生态系统碳循环模拟时应考虑森林类型的差异。论文利用基于叶氮浓度-最大净光合作用速率关系的PnET-CN模型,对东亚地区8 个森林生态系统通量观测站点的总生态系统碳交换（GEE）和生态系统呼吸（RE）进行模拟,以探讨模型的适用性并对不确定性来源进行分析。研究结果表明：①PnET-CN模型能较为准确地模拟东亚地区大部分森林生态系统站点的GEE和RE;②模型的适用性排序依次为温带、寒温带、亚热带、 热带,模型未能很好地模拟热带湿地森林GEE和RE 的季节与年际变异;③在同一气候区中,PnET-CN模型更加适用于针叶林碳交换的模拟;④PnET-CN模型比较准确地反映了东亚森林生态系统GEE、RE对气候因子（例如,温度或辐射）的响应,但在低温、较弱辐射条件下模型低估了GEE,在高温或较强辐射条件下高估了GEE;在低温条件下模型低估了RE,在高温条件下模型高估了RE。针对东亚多个森林通量站点的模拟情况,论文提出模型应在以下方面进行改进：①PnET-CN模型计算物候时除了考虑温度之外还应加入土壤湿度的影响,并对不同气候区森林生态系统赋予不同叶片凋落时长;②PnET-CN模型中温度对GEE的限制以及光合最适温度应该根据不同站点设置;③PnET-CN模型应该考虑森林生态系统对环境胁迫的适应性,加强对干旱等干扰的模拟;④同时对于拥有复杂水文条件的森林生态系统应该改进土壤含水量的算法,以准确反映该类型森林生态系统GEE和RE的季节变化。     

呼伦贝尔沙质草原风蚀坑积沙区的植被分带性

呼伦贝尔沙质草原现代风蚀坑主要包括平缓草地的简单风蚀坑、复合风蚀坑和固定沙丘的简单风蚀坑3种类型。坑后积沙区植被出现明显的分带性,且随风蚀坑及其下风侧积沙体的形态、尺度而发生变化。在平缓草地简单风蚀坑下风侧积沙体平面形态呈顺风向的舌状,由坑口至原生草地,随积沙厚度顺风向减小,依次出现沙蓬、冰草和百里香3个植被带;平缓草地复合风蚀坑后缘形成具有滑落面的大型流动沙丘,在沙丘背风侧顺风向依次出现舌状裸沙带、舌状拂子茅带及两侧的冰草带;固定沙丘风蚀坑坑后积沙呈裸沙形式穿越沙丘原有的山刺玫和小叶锦鸡儿两个灌木带,并在裸沙带外围形成舌状拂子茅带。风蚀坑下风侧积沙区植被的分带性反映了草地植被对风沙活动的响应,即随着坑后积沙体的扩大,草地植被由原生向沙生逆向演替。