水位变化对湖泊沉积物营养释放的影响

水位波动可有效调节湖泊生态系统的结构与功能,干湿交替过程引起的沉积物生物地球化学循环途径的改变是其重要机制之一。大量研究结果表明,干湿交替将加速沉积物有机碳的分解,强化沉积物硝化与硝化作用的偶联,促进沉积物磷的酶促水解和厌氧解离,从而增加再度淹没之后水中溶解有机碳和生物可利用性磷的浓度,并减少溶解无机态氮的浓度。有机质的分解是上述过程的关键步骤。因此,必须系统描述湖泊水陆界面土壤和沉积物基本理化性状与水生生物特征,分析干旱过程中沉积物生物地球化学循环途径的变化,了解淹没过程中水柱营养状态与浮游生物群落对沉积物营养释放的响应,从而揭示水位波动调控富营养化过程的机制,即诱发营养脉冲或维系其持续补给,改变营养阈值,进而导致稳态转换。     

磁湖底泥氮释放通量的研究

本研究通过对磁湖底泥氮释放的特性进行实验室静态模拟实验,测定不同温度对磁湖底泥中氮释放量的影响。结果表明,温度升高时,底泥中NH3-N、TN释放通量增大,NO2-N和NO3-N释放通量减小。磁湖底泥的TN释放通量为-120到-25 mg/m3.d,NH3-N、NO2-N和NO3-N和TN释放通量基本呈负释放,说明磁湖大部分氮元素沉积到底泥中。本研究为探讨磁湖水质的改善提供相关的依据,并为以后关于磁湖的治理研究提供一定参考。     

植被净初级生产力对气候变化的响应研究——以黄土高原燕沟流域为例

Vegetation net primary productivity (NPP) is a sensitive indicator to characterize the response of terrestrial ecosystems to the climate change. Projections of the NPP changes of the Loess Plateau under future climate scenarios have great significances in revealing the interactions among terrestrial ecosystems and climatic systems, as well as instructing future vegetation construction of this region. Here, we carried out a case study on the Yangou watershed in the Loess Plateau. Using the vegetation-producing process model (VPP) established for such small watersheds, we simulated the NPP of the Yangou watershed under different scenarios of climate changes. The results showed that the NPP significantly increased with the precipitation increasing and evidently decreased with the temperature increasing where the climate change occurred in the whole year or in the summer half year. However, where the climate change occurred in the winter half year, the increased precipitation had little effect on the NPP, and the increased temperature significantly reduced the NPP. There were clear differences among the response sensitivities of different vegetation types with trees and shrubs were more sensitive to the changes in temperature and precipitation than crops and grasses. Currently, the most favourable climate change scenario to the NPP in the Yangou watershed was T0P15 under which the precipitation increased by 15% and the temperature did not changed, in the whole year; in the meantime, the most unfavourable climate change scenarios was T2P-15 under which the precipitation declined by 15% and the temperature increased by 2℃, in the whole year.     

黄土高原近30年植被变化特征及其气候驱动

The use of Normalized difference vegetation index (NDVI) data acquired with multiple satellite sensors has become a necessity in research fields such as agriculture, Land-Use and Land-Cover Change (LUCC) and changes in the natural environment. In this paper, vegetation 10-day composite (VGT-S10) NDVI data with a 1 km×1 km resolution, covering the period from April 1982 to December 2011 and Advanced Very High Resolution Radiometer (AVHRR) Global Inventory Modelling and Mapping Studies (GIMMS) NDVI data with a 8 km×8 km resolution, covering the period from April 1998 to December 2006 were used. The VGT NDVI covering the period from 2007 to 2011 was converted to the GIMMS NDVI for the same period. The vegetation trend during 1982 to 2011 was calculated using the extended NDVI data set. Climate change has a large impact on the vegetation dynamics. A series of statistical analyses were employed to demonstrate the relationship between NDVI and meteorological data during 1982 to 2005. A multiple correlation analysis was applied to validate the association between the two climatic factors and monthly maximum NDVI (MNDVI). The partial correlation coefficient of MNDVI and each climate factor were calculated respectively to describe the singular influence of each meteorological variable. The results indicated that temperature made a significant positive influence on vegetation growth in the whole Loess Plateau. Precipitation is the most important climatic factor that closely correlates with MNDVI, particularly in arid and semi-arid environments. However, in some wet regions, precipitation is not a limiting factor on vegetation growth.     

湖滨湿地恢复方案研究综述

在查阅国内外湖滨湿地恢复资料的基础上,以恢复湿地水质净化和野生动物栖息地功能为双重目的,整理形成了适用于我国富营养湖泊湖滨湿地的恢复方案,从恢复湿地的设计、恢复的前期处理、恢复过程中的植物种植与管理、恢复后的维护管理和生态监测等5个阶段进行了恢复技术的综述与探讨。     

云南省九大高原湖泊营养状态综合对比评价分析

基于主成分分析理论和SPSS统计软件,建立湖泊富营养综合评价模型,以云南省九大高原湖泊为例,对滇池等九大高原湖泊营养状态进行综合评价,并与指数评价法评价结果作对比分析。结果表明：基于主成分分析法的湖库营养状态综合评价能较好地反映云南省九大高原湖泊营养状态,综合评价结果优于指数法。     

促进江湖联系的闸口调度对策及影响区管理机制

我国传统的修堤建闸、抵御洪水的治河理念,阻断了江湖联系,造成湿地的生态萎缩。为改善湿地的生态环境,保护湿地的生物多样性,提出了新的多目标闸口调度机制,替代传统的、以防洪抗旱为目的的调度机制,力求促进江湖联系,增加湿地活力;为保障该机制的运行和实施,提出了闸口调度影响区的管理办法;并以涨渡湖为例进行了讨论。     

云贵高原湖区湖泊营养物生态分区技术方法研究

提出一种基于主成分分析、聚类分析、判别分析和空间自相关的分区模型,用于对云贵高原湖区湖泊营养物生态分区的研究.首先运用主成分分析方法对众多指标进行了降维综合处理,产生彼此互补相关又能综合反映湖区情况的4个新指标,累计贡献率达到93.69%,具有充分的代表性,构建了云贵高原湖区湖泊营养物生态分区指标体系.在此基础上,根据各区域新指标值,结合聚类模型初步将湖泊流域分为5类,再利用判别分析完成非湖泊流域的类别判别,最后运用空间自相关分析方法,按聚类结果进行全局自相关分析,Moran’sI为0.320,且检验值Z值为68.2,远大于临界值(显著水平1%所对应的临界值2.58),表明聚类结果与空间位置具有显著相关性,之后运用局部自相关对区域各因素的主成分综合得分的空间分布格局进行了量化分析,揭示了零散分类区块在空间地域分布上的关联和差异,根据关联结果完成最终的分区.结果表明,利用此分区模型可以尽量避免人为因素,得到更为客观的分区结果,具有良好的适应性和可行性,可为探索适合我国湖泊营养物生态分区的指标体系和分区技术方法,完成全国湖泊营养物生态分区和科学地制定我国湖泊营养物基准和富营养化控制标准提供技术支持.     

Long-term joint effect of nutrients and temperature increase on algal growth in Lake Taihu, China

To study how global warming and eutrophication affect water ecosystems, a multiplicative growth Monod model, modified by incorporating the Arrhenius equation, was applied to Lake Taihu to quantitatively study the relationships between algal biomass and both nutrients and temperature using long-term data. To qualitatively assess which factor was a limitation of the improved model, temperature variables were calculated using annual mean air temperature (AT), water temperature (WT), and their average temperature (ST), while substrate variables were calculated using annual mean total nitrogen (TN), total phosphorus (TP), and their weighted aggregate (R), respectively. The nine fitted curves showed that TN and AT were two important factors influencing algal growth; AT limited growth as algal photosynthesis is mainly carried out near the water surface; N leakage of phytoplankton and internal phosphorus load from sediment explains why TN was the best predictor of peak biomass using the Monod model. The fitted results suggest that annual mean algal biomass increased by 0.145 times when annual mean AT increased by 1.0℃. Results also showed that the more eutrophic the lake, the greater the effect AT had on algal growth. Subsequently, the long-term joint effect of annual temperature increase and eutrophication to water ecosystems can be quantitatively assessed and predicted.     

电动生物修复湖泊底泥中直链烷基苯磺酸钠

直链烷基苯磺酸钠(Linear Alkylbenzene Sulfonates,LAS)是环境中最常见的具有代表性的一类有机污染物,城市湖泊长期以来接纳了大量的污染物,致使底泥沉积了大最的LAS.采用电动生物复合技术修复东湖底泥中LAS,由于其LAS含量过高,当直接添加芽孢杆菌降解LAS时,发现无明显的降解效果.经过驯...