论景观非生态功能的含义及评价技术

随着对现代环境问题之综合性特征的认识不断深入,景观规划理论及评价技术研究在国际上渐成热点。在我国,相对于景观生态功能,景观非生态功能的研究,尤其是其评价技术的研究刚刚起步,景观非生态功能对于文化传承及和谐社会和两型社会建设的积极意义未得到足够的重视。本文由景观非生态功能的含义出发,探讨其在自然与环境保护政策中所应具有的地位,以及保护开发过程中存在的主要问题。在总结回顾国内外景观非生态功能研究成果的基础上,明确景观非生态功能评价技术研究的重点领域和方向。文章最后,总结性描述了一个最新的景观非生态功能评价理论模型研究成果,讨论并提出我国景观非生态功能研究发展的重要方向。     

生态聚磷石对低浓度景观水的除磷研究

研究了新型填料水化硅酸钙对景观水中低浓度磷的去除效果。考察了反应时间、初始磷浓度、投加量对除磷率的影响,同时采用以水化硅酸钙为填料的滤床,研究其实际低浓度景观水中磷去除效果。结果表明,初始磷浓度为0.3mg/L的低浓度模拟水,在投加量为1500mg/L、反应时间为24h时,水化硅酸钙对模拟水中除磷率达到60%以上,针对浓度为0.50mg/L的实际景观水,投加量为800mg/L时,除磷率达到65.0%;动态试验中,水力停留时间为60min、初始磷浓度为0.15～0.3mg/L,运行8d后,过滤床除磷率保持在44%以上。     

Scaling range sizes to threats for robust predictions of risks to biodiversity

Assessments of risk to biodiversity often rely on spatial distributions of species and ecosystems. Range‐size metrics used extensively in these assessments, such as area of occupancy (AOO), are sensitive to measurement scale, prompting proposals to measure them at finer scales or at different scales based on the shape of the distribution or ecological characteristics of the biota. Despite its dominant role in red‐list assessments for decades, appropriate spatial scales of AOO for predicting risks of species’ extinction or ecosystem collapse remain untested and contentious. There are no quantitative evaluations of the scale‐sensitivity of AOO as a predictor of risks, the relationship between optimal AOO scale and threat scale, or the effect of grid uncertainty. We used stochastic simulation models to explore risks to ecosystems and species with clustered, dispersed, and linear distribution patterns subject to regimes of threat events with different frequency and spatial extent. Area of occupancy was an accurate predictor of risk (0.81<|r|<0.98) and performed optimally when measured with grid cells 0.1–1.0 times the largest plausible area threatened by an event. Contrary to previous assertions, estimates of AOO at these relatively coarse scales were better predictors of risk than finer‐scale estimates of AOO (e.g., when measurement cells are <1% of the area of the largest threat). The optimal scale depended on the spatial scales of threats more than the shape or size of biotic distributions. Although we found appreciable potential for grid‐measurement errors, current IUCN guidelines for estimating AOO neutralize geometric uncertainty and incorporate effective scaling procedures for assessing risks posed by landscape‐scale threats to species and ecosystems.     

A method to estimate pre-exploitation population size

Antarctic fur seals (Arctocephalus gazella) were commercially exploited on the subantarctic island of South Georgia for over 100 years and nearly driven to extinction. Since the cessation of harvesting, however, their populations have rebounded, and they are now often considered a nuisance species whose impact on the terrestrial landscape should be mitigated. Any evaluation of their current population requires the context provided by their historic, pre-exploitation abundance, lest ecologists fall prey to shifting baseline syndrome in which their perspective on current abundance is compared only with an altered state resulting from past anthropogenic disturbance. Estimating pre-exploitation abundance is critical to defining species recovery and setting recovery targets, both of which are needed for the International Union for the Conservation of Nature's recent efforts to develop a green list of recovering species. To address this issue, we reconstructed the South Georgia fur seal harvest from 1786 to 1908 from ship logbooks and other historical records and interpolated missing harvest data as necessary with a generalized linear model fit to the historical record. Using an approximate Bayesian computation framework, harvest data, and a stochastic age-structured population model, we estimated the pre-exploitation abundance of Antarctic fur seals on South Georgia was 2.5 million females (95% CI 1.5–3.5 million). This estimate is similar to recent abundance estimates, and suggests current populations, and the ecological consequences of so many fur seals on the island, may be similar to conditions prior to human harvest. Although the historic archive on the fur sealing era is unavoidably patchy, the use of archival records is essential for reconstructing the past and, correspondingly, to understanding the present. Article impact statement: Defining species recovery requires an understanding of baseline population state, which can be estimated through statistical methods.     

上海市青浦区景观格局的粒度效应分析

以上海市青浦区为研究区域，基于ETM遥感影像数据和GIS技术，采用优势规则栅格聚合方法，对分类的ETM数据进行了粒度变换。以景观格局分析程序Fragstats3．3为分析工具，从景观类型水平和景观水平上研究了景观格局的空间粒度效应。研究结果表明：（1）不同的景观类型、不同的景观特征指数对粒度响应存在差异：居住景观和道路景观是对粒度响应最敏感的两种景观类型；形状指数、聚集度指数、斑块数量指数对粒度响应的敏感程度较高，多样性指数、均匀度指数、景观面积比例指数、分维数对粒度响应的敏感程度较低；此外，还发现优势景观随着粒度增加面积增大，形状规则的景观对粒度响应敏感程度低。（2）景观指数的粒度响应曲线存在尺度转折点，且多出现在40、60、80、120m，其中第一尺度区域多为20～40m或20～60m。第一尺度域是选择适宜粒度的较好取值范围，所以本研究中所用景观类型图进行景观指数计算的适宜粒度范围为30-40m。（3）研究发现由不同指数表征相同的生态现象可能会出现相反的粒度效应，在一定程度上体现了景观指数量化景观格局的局限性。     

基于边际效应理论的中部板块协调发展分析

边际效应理论及其增值效应是现代生态科学很重要的一个原理.我国是典型的经济发展不平衡的国家,长期的区域非均衡战略在全国范围内形成了四大区域板块.面对着东部的开放崛起,西部大开发和东北老工业基地的改造,"谨防中部凹陷,促进中部崛起"作为一个区域协调发展的重大命题,被提到了国家层面上.中部板块由于地理区位与经济发展水平均居于我国的中间位置,因此具有明显的过渡性.作者试图通过运用生态学上的边际效应理论,分析中部区域板块内部以及板块之间的区域经济协调发展机制,来促进中部区域板块经济的协调发展.     

贡嘎山高山生态系统观测试验站——“中国生态系统研究网络”站之一

贡嘎山高山生态系统观测试验站代表青藏高原东缘面积达60万平方公里的高山深谷山地生态系统类型。贡嘎山东坡从河谷到山顶可明显地分出六个山地自然垂直带,每一个带内又可分出若干亚带。自然生态系统类型多样,保存完好,海拔2000米以上基本处于未开发的原始状态,具有自然生态系统原生性强的显著特点,是开展山地生态系统观测试验的理想场地。     

果园间种白三叶草对土壤生态及果树生产的影响

针对我国果园长期沿用清耕除草方式所带来的水土流失、土壤肥力下降和果品品质变劣等问题,于1999年在山东省烟台市5个试验点分别设置了由种草样地及其清耕对照样地组成的5组可比样地,对苹果园间种白三叶草(Trifoliumrepens)对土壤生态和果树生产的影响进行定位观测。结果表明:果园种草3a后0—30cm土层有机质含量平均提高3. 3g·kg-1,氮、磷、钾等养分含量有较大提高,尤以表层土壤更明显;土壤含水量得到提高,尤以夏秋多雨季节更明显;种草果园地下5cm处土温夏季比对照平均降低4. 1℃,而冬季升高2. 5℃,使土温的全年变化较为缓和;种草果园果品产量平均增加7. 04%,年产牧草2 130kg·hm-2,每年可增加经济收入5 328元·hm-2。     

传统产业生态化模式研究及应用

论述了产业生态化的内涵及其国内外研究现状。依据产业经济、环境和社会效益最大化的目标。提出了实现传统产业生态化转型的理论模式。在此基础上以江苏省造纸业为例。提出了实现江苏省造纸业生态化的具体模式。     

社会发展综合实验区生态建设及科技引导途径

本文提出了社会发展综合实验区建设的实质就是协调好人口、资源与环境间的生态关系，为了促进社会—经济—自然复合生态系统的持续发展，探讨了科技引导实验区生态建设的途径。