区域生态环境变化的遥感评价指数

基于遥感信息技术提出一个新型的遥感生态指数(RSEI),以快速监测与评价区域生态质量.该指数耦合了植被指数、湿度分量、地表温度和土壤指数等4个评价指标,分别代表了绿度、湿度、热度和干度等4大生态要素.与常用的多指标加权集成法不同的是,本研究提出用主成分变换来集成各个指标,各指标对RSEI的影响是根据其数据本身的性质来决定,而不是由人为的加权来决定.因此,指标的集成更为客观合理.将RSEI应用于福建长汀水土流失区,并与国家环境保护部《生态环境状况评价技术规范》中的生态指数EI的计算结果相比较,发现二者的结果具有可比性.不同的是,RSEI不仅可以作为一个量化指标,而且还可以对区域生态环境变化进行可视化、时空分析、建模和预测.因此,可弥补EI指数在这些方面的不足.     

吉林省生物入侵的现状及对策

通过对吉林省通化地区野外实地调查及全省有关外来物种的文献资料分析,依据7种危害性较强的外来入侵种(稻水象甲、日本松干蚧、栗山天牛、菜豆象、美洲斑潜蝇、松针红斑病菌、三裂叶豚草)的生物生态学特性及其被入侵地的特征,总结了吉林省生物入侵的现状.包括:入侵种传播速度快,传播途径以无意引入为主;被人侵地多为人工生物群落,并且聚集在生物多样性较丰富的东部地区;其危害性造成的直接经济损失严重.针对这些现状,提出了相应的防治对策,即要有效防预、有效控制、有效恢复、加紧研究、加强合作、加大宣传,力争最大限度地降低生物入侵给吉林省带来的损失.     

南京城市滨江带功能演变及现代景观规划研究

南京城市滨江带具有山、水、城、林、洲相融合的特色环境,近百年以来滨江地段由于经济和旅游利用而发展迅速。城市滨江带功能的演变具有其独特的历史过程。合理利用南京城市滨江自然与人文条件进行滨江景观规划,对于南京市的进一步发展是很重要的。通过对历史时期南京城市滨江带功能演变的分析,对滨江带景观现状深入的研究,对滨江带各个区域的景观要素进行探讨, 提出了南京城市滨江带景观规划的指导思想与设计手法,依此进行了景观规划研究。将南京城市滨江带划分为6个特色区域: 河西滨江段以塑造现代化城市建筑群体景观为主, 下关滨江段以塑造港区风貌和反映城市近现代历史为主,幕燕滨江段以塑造自然山水风光为主和江中洲地区以现代化田园风光景观为主,大厂滨江段以塑造现代工业景观为主,浦口—珠江段以塑造现代化滨江城市景观为主。     

黄山风景名胜区生态安全现状分析

黄山风景区是我国乃至世界上宝贵的资源,保持景区自然体系的生态安全是黄山风景区可持续利用和发展的关键.本文采用周广胜、张新时建立的自然植被第一性生产力模型对黄山风景区的生态完整性维护现状进行量化分析,并结合景区内敏感资源的生态需求满足程度和环境容量状况,对黄山景区的生态安全现状进行评价.结果表明,黄山风景名胜区自然系统处于高亚稳定平衡状态,具有较强的抵抗外界不良干扰的能力和破损生境的修复能力,但要注意规范和控制人类活动的扰动,保护珍稀动物,优化水资源的利用.     

The fire frequency analysis branch of the pyrostatistics tree: sampling decisions and censoring in fire interval data

Statistical characterization of past fire regimes is important for both the ecology and management of fire-prone ecosystems. Survival analysis—or fire frequency analysis as it is often called in the fire literature—has increasingly been used over the last few decades to examine fire interval distributions. These distributions can be generated from a variety of sources (e.g., tree rings and stand age patterns), and analysis typically involves fitting the Weibull model. Given the widespread use of fire frequency analysis and the increasing availability of mapped fire history data, our goal has been to review and to examine some of the issues faced in applying these methods in a spatially explicit context. In particular, through a case study on the massive Cedar Fire in 2003 in southern California, we examine sensitivities of parameter estimates to the spatial resolution of sampling, point- and area-based methods for assigning sample values, current age surfaces versus historical intervals in generating distributions, and the inclusion of censored (i.e., incomplete) observations. Weibull parameter estimates were found to be roughly consistent with previous fire frequency analyses for shrublands (i.e., median age at burning of ~30–50 years and relatively low age dependency). Results indicate, however, that the inclusion or omission of censored observations can have a substantial effect on parameter estimates, far more than other decisions about specifics of sampling.

海滨湿地景观过程模型与模拟研究——以江苏盐城保护区核心区为例

景观过程模型已经成为深化景观变化研究的重要手段并日益受到重视。海滨湿地是一种高度复杂和动态变化的景观系统,构建景观过程模型能够从机理上解释湿地景观时空动态演变过程。研究中,将盐城国家级自然保护区核心区划分为人工管理区和自然湿地区两种模式,根据2000、2006、2011 年3 个时相的景观资料以及野外生态监测数据,构建海滨湿地景观过程模型,结果如下：①利用空间代替时间并结合灰色关联分析,确定了海滨湿地景观演变的关键影响因素为土壤盐度和水分;②运用人工神经网络的方法,分析了土壤盐度和水分的空间分异,并通过图层叠加和分级统计,得出了土壤盐度和水分的阈值范围以及变化规律;③运用GIS-Matlab-CA技术构建了基于关键生态过程的海滨湿地景观过程模型,模型总体精度都在80%以上,Kappa 系数都在0.7 以上,一致性检验结果表明空间位置一致率决定了整个景观模拟的精度;④运用已构建好的模型对研究区2012-2020、2025 年的结果进行了模拟预测,预测结果表明,盐城海滨湿地芦苇沼泽和米草沼泽扩张、碱蓬沼泽面积减少的趋势将愈加明显。     

The evaluation of ecology-based tourism potential in coastal villages in accordance with landscape values and user demands: the Bursa-Mudanya-Kumyaka case

Ecology-based tourism, which is integrated with nature, developed in environmentally conscious areas and enriched by different cultures, has become more important in the direction of extending tourism throughout the year. While the landscape values of the area are important functions for tourism activities to be carried out in natural characteristics, the preferences of the users are also important. Ecology-based tourism, which develops in connection with the concepts of intacteness, the protection-use balance and sustainability, and the demands and expectations of tourists, constitute the basis of our study. For this purpose, the study was carried out in Kumyaka, a small coastal neighborhood (village) of the county of Mudanya in the province Bursa, Turkey with important natural, historical and cultural assets. Fieldwork, field analysis, literature search, interviews with tourists coming to the field, interviews with the day trippers and survey work were conducted in the study. While evaluating the ecology-based tourism potential of the area, the demands and expectations of tourists have been taken into account together with the available area data. According to the results of the survey, tourists are mostly interested in having the most scenic value and quietness when choosing the area. The types of tourism that tourists most wanted to experience in the field were 42.38% culture tourism and 32.32% nature tourism. As a result of tourists’ demands and expectations, the tourism activities to be carried out in accordance with the possibilities of the area were examined and ecology based planning proposals and holistic planning approaches were developed.     

Callyspongia samarensis (Porifera) extracts exhibit anticancer activity and induce bleaching in Porites cylindrica (Scleractinia)

Marine sponges can produce allelopathic compounds with specific roles in the competition for benthic space. Here we demonstrate that extracts from Callyspongia samarensis (Phylum Porifera) accelerate bleaching in Porites cylindrica (Phylum Cnidaria, Order Scleractinia) and exhibit in vitro anticancer activity. A column chromatography fraction and HPLC fraction, purified from the crude methanol extract of C. samarensis, were incorporated into agar gel cubes at natural concentrations and tested on P. cylindrica corals in a laboratory assay. Statistical analysis of percent bleached area and maximum quantum yield showed that a significant difference existed between P. cylindrica nubbins that were exposed to C. samarensis extracts versus the control group. This suggests that C. samarensis contains allelopathic compounds that can cause bleaching in P. cylindrica, possibly leading to tissue necrosis and death. Furthermore, the aforementioned HPLC fraction exhibited significant growth inhibition of the HCT-116 (human colon cancer) cell line. Understanding the strategies by which sponges exert dominance over other organisms is important because it provides information about the ecological roles of sponge allelopathy and can result in the discovery of compounds with biomedical potential.     

Landscape disturbance caused by non-renewable energy production in a semi-arid region: a case study on the Russian steppe

Exploration and development of oil and gas (O&G) energy resources can create large-scale and permanent landscape effects that are best measured and understood via fieldwork and geospatial technologies. In this article, we examine O&G surface disturbance in the Orenburg steppe region of southwestern Russia for the year 2015. Utilizing field surveys, remote-sensing data and geographic information system (GIS) techniques, we apply a two-pronged approach. First, we map and measure the landscape infrastructure footprint (LIF) to determine the pattern and extent of direct surface disturbance created by O&G facilities and access roads. Second, we conduct a site suitability analysis to identify specific O&G production locations that are most vulnerable to environmental degradation. The approach considers both the particular properties of hydrocarbon production and specific natural features of steppe zones. Suitability patterns represent three indicators: two morphometric parameters (slope and aspect) and one spatial (the remoteness of O&G objects from water bodies). Our findings suggest that O&G production disturbs just over 3% of soil-vegetation cover in our study plot, while more than 13% of O&G objects are located in unsuitable zones based on topographic aspect, and about 11% lie in unsuitable zones regarding distance to water.     

景观类型与景观格局演变对洪泽湖水质的影响

基于Landsat序列遥感影像数据解译进行了景观类型分类,分析了2008—2018年洪泽湖16个监测点位水质数据变化特征,从流域尺度研究了景观类型和景观格局演变对湖区水质的影响机制.研究结果表明,洪泽湖区主要水质风险指标为总氮（TN）和总磷（TP）,淮安南区域TN和TP浓度较高.2000年之前洪泽湖流域内景观类型主要为旱地（43.3%）,2000年后主要景观类型逐渐转变为水田（37.7%）和建设用地（23.6%）.建设用地、水田、入湖河流、围圩和围网养殖面积与湖区TN和TP浓度呈显著正相关,林地和草地面积与TN和TP浓度呈显著负相关.围圩养殖面积对TN浓度变异解释度最高,建设用地面积对TP浓度变异解释度最高,分别为47.6%和43.2%.近20年洪泽湖流域景观破碎度增大,斑块密度指数（PD）和蔓延度指数（CONTAG）与湖区TN、TP浓度呈显著正相关.建设用地、围网和围圩养殖面积增加以及景观破碎化增强与湖区TN和TP浓度上升密切相关.减少围圩和围网养殖的面积比例,控制建设用地和水田规模,降低生态空间景观破碎度,是维护和修复洪泽湖水质安全和水生态健康的重要抓手.