大伙房水库生态环境问题及保护对策研究

大伙房水库是全国九大城市重点饮用水源地之一,是辽宁省最大的城市水源地,供水人口达2 300万人,占辽宁省人口总数的52％.通过对大伙房水库的环境现状进行了实地调查,分析了大伙房水库主要环境问题,提出农业种植引起的面源污染较重和农村环境治理设施滞后以及矿山开采导致生态环境破坏是其主要原因.为了使大伙房水库能够更加安全、有效的发挥供水作用,保障供水安全,在调研的基础上提出了大伙房水库保护与可持续利用的对策与意见.     

合肥市区典型景观水体氮磷污染特征及富营养化评价

为掌握合肥市环城河水系水环境状况,于2012年9月~2013年7月,在城区选取6个典型景观水体测定水体理化指标和叶绿素浓度,开展水体氮磷污染特征分析及富营养化评价,结果表明:①各水体氮、磷污染较为严重,TN和TP月平均浓度均远超过国际认可的发生水体富营养化临界值;②南淝河、黑池坝和雨花塘水体氮浓度表现出显著的逐月变化性,南淝河水体TP和PO3-4-P一直在较高浓度状态下波动,而银河公园水体则呈现显著的上升趋势;③雨花塘与黑池坝水体TN/TP比平均值分别为104.7和158.3,包河公园、银河公园、逍遥津公园和南淝河水体分别为16.8、18.7、6.4和16.8,表明雨花塘、黑池坝水体处于磷限制性状态,逍遥津公园为氮限制性状态;④聚类分析将6个景观水体聚为两大类,即污染严重的黑池坝和南淝河归为一类,其余4个相对封闭的水体为另一类;⑤营养状态指数评价结果表明,所有水体均处于富营养化状态,且富营养化程度排序为:银河公园>黑池坝>南淝河>逍遥津公园>雨花塘>包河公园.     

三峡库区兰陵溪小流域土地利用及景观格局对氮磷输出的影响

以三峡库区兰陵溪小流域为研究对象,分析了流域水体氮、磷等输出时空特征及土地利用景观格局对其产生的影响.结果表明,流域总氮(TN)、总磷(TP)、硝态氮(NO-3-N)主要来源于园地,6~9月汛期的氮磷输出显著大于1~5月的非汛期;非汛期铵态氮(NH+4-N)主要来源于住宅用地,汛期NH+4-N则来源于园地,以林地为主的集水区氮磷输出在两个时期均较低.林地面积比与非汛期NO-3-N、TP及汛期的TN、TP显著负相关;住宅用地面积比与非汛期的NO-3-N、TN及汛期的NO-3-N、TN、TP显著正相关;园地面积比与汛期的NH+4-N、TN显著正相关.PD与非汛期的氮素及汛期的NO-3-N、NH+4-N显著正相关;CONT与汛期的氮素及非汛期的TP呈负相关;耕地、未利用地比例以及景观格局指数ED与氮磷输出的相关性较弱,而SHMN和水域比例尚未表现出显著相关性.此外,两个研究时期NH+4-N与土地利用及景观格局变量的回归关系要优于NO-3-N、TN和TP,R2分别为0.885和0.969,而汛期的回归关系也比非汛期显著.典型相关分析进一步显示,不同土地利用斑块类型导致的景观破碎化能较好解释氮磷输出的影响,两典范轴累积解释氮磷输出变量的90%,景观变量PD贡献最大,对流域水质评价与预测具有重要意义.     

汾河源区不同景观带水文过程研究

目前水源区景观带尺度水文过程机制研究还非常薄弱.针对山西汾河流域水环境恶化,迫切需要解决的水问题.应用同位素示踪、水文地质勘察、水化学信号等研究方法,揭示汾河源区景观带尺度水文过程机制.结果表明,汾河水源区亚高山草甸带与中高山森林带是汾河源区主要径流形成区,而疏林灌丛带与山地草原带在时间上滞后了雨季降水的汇集.源区径流主要由降雨、地下水、积雪和冻土融水混合补给.流域内降水很少直接产生地表径流补给河流,而是经过各景观带下渗,转换成壤中流、孔/裂隙水或地下径流,最终汇入河道,完成"补径排"水文过程.这一研究可为汾河流域水环境恶化的遏制提供科学依据与参考,以期实现山西清水复流和生态环境的全面修复.     

Measuring Protected‐Area Isolation and Correlations of Isolation with Land‐Use Intensity and Protection Status

Abstract: Protected areas cover over 12% of the terrestrial surface of Earth, and yet many fail to protect species and ecological processes as originally envisioned. Results of recent studies suggest that a critical reason for this failure is an increasing contrast between the protected lands and the surrounding matrix of often highly altered land cover. We measured the isolation of 114 protected areas distributed worldwide by comparing vegetation‐cover heterogeneity inside protected areas with heterogeneity outside the protected areas. We quantified heterogeneity as the contagion of greenness on the basis of NDVI (normalized difference vegetation index) values, for which a higher value of contagion indicates less heterogeneous land cover. We then measured isolation as the difference between mean contagion inside the protected area and mean contagion in 3 buffer areas of increasing distance from the protected‐area border. The isolation of protected areas was significantly positive in 110 of the 114 areas, indicating that vegetation cover was consistently more heterogeneous 10–20 km outside protected areas than inside their borders. Unlike previous researchers, we found that protected areas in which low levels of human activity are allowed were more isolated than areas in which high levels are allowed. Our method is a novel way to assess the isolation of protected areas in different environmental contexts and regions.     

Application of Remote Sensing Detection and GIS in Analysis of Vegetation Pattem Dynamics in the Yellow River Delta

Regional vegetation pattem dynamics has a great im- pact on ecosystem and climate change.Remote sensing data and geographical information system (GIS) analysis were widely used in the detection of vegetation pattern dynamics.In this study,the Yellow River Delta was selected as the study area.By using 1986, 1993,1996,1999 and 2005 remote sensing data as basic informa- tion resource,with the support of GIS,a wetland vegetation spa- tial information dataset was built up.Through selecting the land- scape met...     

Application of Remote Sensing Detection and GIS in Analysis of Vegetation Pattern Dynamics in the Yellow River Delta

Regional vegetation pattern dynamics has a great impact on ecosystem and climate change. Remote sensing data and geographical information system （GIS） analysis were widely used in the detection of vegetation pattern dynamics. In this study, the Yellow River Delta was selected as the study area. By using 1986, 1993, 1996, 1999 and 2005 remote sensing data as basic information resource, with the support of GIS, a wetland vegetation spatial information dataset was built up. Through selecting the landscape metrics such as class area （CA）, class percent of landscape （PL）, number of patch （NP）, largest patch index （LPI） and mean patch size （MPS） etc., the dynamics of vcgetation pattern was analyzed. The result showed that the change of vegetation pattern is significant from 1986 to 2005. From 1986-1999, the area of the vegetation, the percent of vegetation, LPI and MPS decreased, the NP increased, the vegetation pattern tends to be fragmental. The decrease in vegetation area may well be explained by the fact of the nature environment evolution （Climate change and decrease in Yellow River runoff） and the increase in the population in the Yellow River Delta. However, from 1999 2005, the area of the vegetation, the percent of vegetation, LPI and MPS increased, while the NP decreased. This trend of restoration may be due to the implementation of water resources regulation for the Yellow River Delta since 1999.     

A Matrix‐Calibrated Species‐Area Model for Predicting Biodiversity Losses Due to Land‐Use Change

Abstract: Application of island biogeography theory to prediction of species extinctions resulting from habitat loss is based on the assumption that the transformed landscape matrix is completely inhospitable to the taxa considered, despite evidence demonstrating the nontrivial influence of matrix on populations within habitat remnants. The island biogeography paradigm therefore needs refining to account for specific responses of taxa to the area of habitat “islands” and to the quality of the surrounding matrix. We incorporated matrix effects into island theory by partitioning the slope (z value) of species–area relationships into two components: γ, a constant, and σ, a measure of taxon‐specific responses to each component of a heterogeneous matrix. We used our matrix‐calibrated model to predict extinction and endangerment of bird species resulting from land‐use change in 20 biodiversity hotspots and compared these predictions with observed numbers of extinct and threatened bird species. We repeated this analysis with the conventional species–area model and the countryside species–area model, considering alternative z values of 0.35 (island) or 0.22 (continental). We evaluated the relative strength of support for each of the five candidate models with Akaike's information criterion (AIC). The matrix‐calibrated model had the highest AIC weight (w_i = 89.21%), which means the weight of evidence in support of this model was the optimal model given the set of candidate models and the data. In addition to being a valuable heuristic tool for assessing extinction risk, our matrix‐calibrated model also allows quantitative assessment of biodiversity benefits (and trade‐offs) of land‐management options in human‐dominated landscapes. Given that processes of secondary regeneration have become more widespread across tropical regions and are predicted to increase, our matrix‐calibrated model will be increasingly appropriate for practical conservation in tropical landscapes.     

模糊综合法在城市绿地系统景观生态综合评价中的应用——以上海市为例

绿地是城市人工景观中最重要的自然要素,以往对绿地景观生态的研究主要集中在能量流动和空间结构等方面,很少涉及城市绿地景观生态的综合评价。本文利用融模糊综合评判和模糊聚类分析于一体的模糊综合法对城市绿地系统景观生态进行了综合评价。     

The Maintenance of Landscape Health in the Midst of Land Use Change

Land use design that recognizes the landscape attributes that characterize homeostatic health can emphasize them during land use change. The attributes of landscape health are the working mechanisms of all open systems, and can be observed in the homeostatic behavior of forests, deserts and floodplains. These attributes are openness, self-regulation, storage and diversity. The attributes of health comprise criteria for evaluating and guiding land use. To maintain landscape health, land use design can maintain and restore these mechanisms during change of moderate pace and scale.