基于景观指数的细碎化对耕地利用效率影响研究——以扬州市里下河区域为例

从中观尺度研究细碎化对耕地利用效率影响,探寻遏制细碎化水平降低因素,以为高效农地利用政策制定提供依据。选取景观指数量化耕地细碎化水平,用数据包络分析(DEA)法对耕地利用效率进行评价,最后采用计量经济模型检验细碎化对耕地利用效率影响。结果表明:研究区扬州市里下河区域30个乡镇的耕地利用综合效率、纯技术效率与规模效率的平均值分别是0.949 3、0.972 2和0.977 0,具有一定提升空间;表征细碎化的第一主成分与地块平均面积、地块密度、面积加权形状指数和面积加权分维数的载荷值大于88%,第二主成分与边界密度指数载荷值大于91%;第一主成分对纯技术效率与规模效率的影响弹性是-0.002 7和-0.085 6,第二主成分对纯技术效率与规模效率的影响弹性是-0.001 1和-0.002 4。细碎化对耕地利用规模效率与纯技术效率产生显著负影响,且对规模效率影响大于对纯技术效率影响;应从地块面积、分布与形状等方面来降低细碎化程度以提高耕地生产能力。     

规划环评中景观非生态功能影响评价实例

以景观概念作为融合自然与社会、科学与美学、理性与感性的结合点,研究了景观非生态功能的内涵及其评价技术理论框架,从景观功能中提炼出景观非生态功能概念,初步完成景观非生态功能评价指标体系的构建.评价技术体系设计突出环境影响评价中现状评价的客观性以及影响预测的科学性.以人感尺度下的评价对象——景观单元概念为创新点,该评价体系补充并完善了现有景观评价体系的技术链条,在保证评价精度的前提下,简化并规范了评价工作流程.该评价体系沿用现有环境影响评价所广泛采用的现状评价、影响源分析、影响预测评价及措施建议的技术思路,基本能满足现行技术规范的要求.以武汉市后官湖生态宜居新城规划环评为例,验证了该体系的可操作性,为我国规划环评在景观评价技术领域的发展提供理论和实践参考.      

基于景观格局的三峡库区生态脆弱性评价

三峡库区是我国的生态环境敏感脆弱区,进行生态脆弱性评价对于掌握其生态脆弱特征和识别生态环境问题具有重要意义. 基于遥感 (RS)和地理信息系统(GIS)空间分析技术,综合考虑景观格局和区域生态2类影响因素,进行三峡库区生态脆弱性评价. 结果表明:①景观类型中,脆弱度由高到低依次为水体、林地、旱地、草地和水田. ②景观破碎度与区域生态脆弱性之间的相关性显著,反映了人类活动对三峡库区生态环境的干扰剧烈. ③三峡库区生态脆弱区可划分为——Ⅰ区(0.171 500≤EVI＜0.191 225),Ⅱ区(0.191 225≤EVI＜0.210 950),Ⅲ区(0.210 950≤EVI＜0.230 675),Ⅳ区(0.230 675≤EVI≤0.250 400). 其中,Ⅲ区和Ⅳ区生态脆弱程度较高,主要分布在水域及其岸边带、高海拔区域和岩溶地貌区域. 特殊的地形地貌是三峡库区生态环境敏感脆弱的重要因素,而人类行为干扰是造成生态环境退化的决定性因子.      

Sensitivity analysis of the two dimensional application of the Generic Ecological Model (GEM) to algal bloom prediction in the North Sea

Harmful algae can cause damage to co-existing organisms, tourism and farmers. Accurate predictions of algal future composition and abundance as well as when and where algal blooms may occur could help early warning and mitigating. The Generic Ecological Model is an instrument that can be applied to any water system (fresh, transitional or coastal) to calculate the primary production, chlorophyll-a concentration and phytoplankton species composition. It consists of physical, chemical and ecological model components which are coupled together to build one generic and flexible modelling tool. In this paper the model has been analyzed to assess sensitivity of the simulated chlorophyll-a concentration to a subset of ecologically significant input factors. Only a small number of approaches could be considered as suitable for several reasons including the model complexity, engagement of numerous interacting parameters and relatively long time of a single simulation. Thus, sensitivity analysis has been carried out with the use of the Morris method and later enriched by the computation of the correlation ratios of the selected parameters on the model response at more than a few locations in the modelled area. The obtained results are in agreement with expert knowledge of the ecological processes in the North Sea and correspond well with local characteristics.     

A stage-structured, Aedes albopictus population model

Aedes albopictus has been the fastest spreading invasive animal species in the world from the mid-1980s until the mid-2000s. In areas it infests, it disrupts native mosquito ecology and can potentially vector up to 21 viruses. To better understand the population dynamics of this species, we created a temperature dependent population model. A stage-structured model was chosen to allow each life-stage to have different temperature dependent mortality and development rates, and each stage was modeled with an ordinary differential equation. Model parameters and distributions were based upon literature values. Initially, a basic model was constructed. This model then had parameters that were forced based upon daily average temperatures. Several criteria were used to evaluate the model, including a comparison to field data from Lubbock, TX. In a stochastic version of the model, a 95% confidence limit contained 70.7% of the field data points. Based upon these results, we feel reasonably confident that we have captured the role of temperature in driving the population dynamics of Ae. albopictus.     

Effects of temperature variation on TSD in turtle (C. picta) populations

We formulate a two-sex model of temperature-dependent sex determination (TSD) for a freshwater turtle (C. picta) population. The aim is to understand how environmental temperature variations and nest heat conduction properties affect the long term dynamics of the population. This is a key to understanding how global temperature changes may affect their survival. With stochastic inputs of ambient temperature and solar radiation, the model uses the heat equation to determine the temperature in the egg layer in the nest; in turn, this determines the sex ratio in the egg clutch using a variable degree-day model. Finally, a nonlinear Leslie type, stage-based, two-sex model, is used to determine the long term male and female populations. A two-sex model is required because of different development rates for males and females. The model is flexible enough to enable other researchers to examine the effects of temperature variation variations on other species with TSD, e.g., crocodilians, reptilians, as well as other turtle species. It can be adapted to study effects of nest location, soil type, rain events, different incubation periods, and density effects, for example, the dependence of the mating function on the ratio of males to females and each’s contribution to the sex of hatchlings. Modifications can be easily made to fit a specific life history traits. The model is a beginning step in understanding the long term, high fitness shown by many reptile species with TSD, and it may suggest to experimentalists what data may be relevant to these issues; it can also be useful to wildlife managers in developing strategies for intervention if needed. Among the principal findings are that temperature variability and detailed nest heat conduction properties may buffer projected negative effects on a population.     

Beyond identity crisis: The challenge of recontextualizing ecosystem delimitation

In a series of papers, three important system ecologists, Bernard C. Patten, Sven E. Jorgensen and Milan Straškraba attempt to revise the old ecosystem field and construct a new systems ecology. Inevitably, their attempt is faced with some of the same problems that led the field to decline. The indefiniteness of ecosystem boundaries is one of them, maybe the most important. Systems’ ecology failure to define ecosystem boundaries was considered a significant obstacle for the conceptualization of the ecosystem as a valid organizing unit of nature and resulted in a disciplinary identity crisis. To surmount this crisis, the authors introduce into the field innovative ideas which have their origin in the so-called postmodern network theories. These ideas reinforce the concept of environment and allow for a relative conception of space, which might have beneficial effects in delimiting ecosystems. However, the problem-solving potential of these ideas is not activated because the authors remain stitched to the Odumian mode of ecosystem thinking and avoid recontextualizing the old building blocks.     

Continuous versus binary representations of landscape heterogeneity in spatially-explicit models of mobile populations

How a landscape is represented is an important structural assumption in spatially-explicit simulation models. Simple models tend to specify just habitat and non-habitat (binary), while more complex models may use multiple levels or a continuum of habitat quality (continuous). How these different representations influence model projections is unclear. To assess the influence of landscape representation on population models, I developed a general, individual-based model with local dispersal and examined population persistence across binary and continuous landscapes varying in the amount and fragmentation of habitat. In binary and continuous landscapes habitat and non-habitat were assigned a unique mean suitability. In continuous landscapes, suitability of each individual site was then drawn from a normal distribution with fixed variance. Populations went extinct less often and abundances were higher in continuous landscapes. Production in habitat and non-habitat was higher in continuous landscapes, because the range of habitat suitability sampled by randomly dispersing individuals was higher than the overall mean habitat suitability. Increasing mortality, dispersal distance, and spatial heterogeneity all increased the discrepancy between continuous and binary landscapes. The effect of spatial structure on the probability of extinction was greater in binary landscapes. These results show that, under certain circumstances, model projections are influenced by how variation in suitability within a landscape is represented. Care should be taken to assess how a given species actually perceives the landscape when conducting population viability analyses or empirical validation of theory.     

Multiple structural modifications to dendritic ecological networks produce simple responses

Structural modifications to landscapes affect the ability of organisms to access different habitat patches. There exist, however, very few general methods by which to relate modifications to expectations of effects, and even fewer that enable understanding of how multiple modifications may interact. In the absence of any guiding principles, ecologists have assumed that interactions will result in complex landscape-scale effects. One way of understanding such effects is through rendering a landscape as a graph or network, among the simplest of which are dendritic networks typified by stream systems. Yet even for stream networks, there are no known general principles concerning the nature of interactions between multiple modifications. We developed a model to describe the ability of fish to access and use different habitat patches within dendritic networks. We used mathematical and numerical analyses of the model to investigate how the habitat value of a network is affected by changes in connectivity and habitat quality, and then to examine interactions between multiple modifications. Rather than showing complex interactions, our analytic and simulation-based results show that the combined effect of multiple modifications approximately equals the sum of individually predicted effects. Dendritic networks thus appear to respond far more simply to multiple modifications than has previously been assumed. These results have implications for stream management planning, and offer a firm foundation from which to better understand population processes within dendritic networks.     

基于SCI发文的中国生态学研究态势文献计量分析

采用文献计量学的方法,基于《科学引文索引》数据库近十年的检索结果,定量分析中国生态学领域发文的主题、时间、作者、机构、合作国家、被引频次、期刊分布等数据,系统分析中国生态学领域近十年的研究发展态势、研究热点、研究投入主体、国际合作和研究水平等趋势和特征。基于检索得到的3316篇SCI论文数据,研究认为：我国生态学领域的研究发展迅速。研究的热点主要是分子标记、气候变化、生物多样性、土地利用、分类学、物种、草原、荒漠化、模型、多态性等方面。研究主题的关联性随时间有增加的趋势。588个第一作者发文机构中,中国科学院发文量最高,大学近年的研究发展迅猛。生态学领域篇均作者人数是2.2人。国际合作的主要国家是美国。我国生态学研究的SCI发文篇均被引频次为6。第一作者机构为中国机构的论文被引用情况逊于外国机构。中国生态学领域研究最重要的发文期刊是ECOLOGICAL MODELLING和JOURNAL OF ARID ENVIRONMENTS。