合肥城市绿地系统的景观生态评价

城市绿地作为城市结构中的自然生产力主体,在城市生态系统中起着重要的作用。为科学合理地评价合肥城市绿地系统的景观生态现状,建立较为全面、科学的评价指标体系,运用景观生态学的原理和方法,选取多样性指数、均匀度指数、破碎度指数、分离度指数、分维度指数、连通性指数等8个景观指数对合肥市城市绿地系统的景观格局进行研究和分析。研究结果表明,合肥市城市绿地生态格局总体上较好,绿地率和人均公园绿地面积较高;但也存在绿地分布不均,各种类型相差较大,破碎度较高,多样性程度不高,分形维数指数偏低,绿地景观的自然性和复杂性不够,连通度较低等问题。针对存在的问题,提出了合肥城市绿地景观生态规划的优化建议。研究结果为合肥市城市绿地景观生态系统的规划、设计提供了生态学依据,为“生态园林城市和森林城市”建设提供了理论依据     

雅砻江流域湿地景观格局变化分析

应用ArcGIS软件,对雅砻江流域湿地1986和2000年遥感数据进行解译、矢量化处理,用Apack软件进行湿地景观格局指数计算,研究了近15 a雅砻江流域景观空间格局特征及其变化。结果表明：（1）近15 a雅砻江流域湿地景观面积减少,减少量为49404 hm2,占2000年湿地总面积的0506%;（2）两个时期内湿地斑块密度保持不变,湿地景观的聚集度都很高,均在099以上,湿地景观集中分布,破碎化水平低;（3）雅砻江流域湿地景观的多样性指数水平和均匀度水平较低,而且两指数在两个个时期内没有发生太大的变化,且各类湿地景观比例差异相对较大,沼泽湿地景观控制的程度较高;（4）雅砻江流域的5类湿地景观分布质心基本上未发生变化,但总体格局分布质心向南偏移001°,再向西偏移023°,整体上向西南方向偏移了2532 km     

CLUE-S模型对村镇土地利用变化的模拟与精度评价

利用航片、IKONOS和Quickbird影像得到研究区3期（1991、2001和2009年）土地利用历史数据,运用CLUE S模型,基于1991、2001年的土地利用数据对2009年土地利用格局进行模拟预测,并将模拟结果与2009年真实土地利用数据进行比较。类型水平上,选择ROC曲线统计和偏离度指数分别对各地类的Logistic回归拟合精度和CLUE S模型模拟精度进行评价;景观水平上,采用景观指数和Kappa指数系列方法,从综合预测能力、景观格局、数量和空间位置等方面对CLUE S模型的模拟精度进行全面评估。结果表明:①CLUE S模型对各土地利用类型的模拟精度均较高,各地类的Logistic回归的拟合精度随着模拟分辨率的提高而逐渐增加;②随着模拟时间的缩短,CLUE S模型对整体景观格局的模拟精度提高;③该模型对土地利用数量的模拟精度明显优于其对空间位置的模拟精度。总体而言,CLUE S模型在村镇尺度的模拟效果良好,预测精度较高,但在空间位置和景观格局精度方面还有待提高     

郑州园林绿化树木低温寒冻害空间分布特征研究

绿化树木是园林景观的主体部分,同样也是园林建设中的目标植物.然而,绿化植物容易受到低温寒冻害的影响,进而影响园林布局美观.基于此,该文提出郑州园林绿化树木低温寒冻害空间分布特征研究方法,统计郑州园林绿化树木类型,对各样本按照乔木层与灌木层进行分类整理,将频度、显著度、密度等作为计算树木多样性的指标,分析比较结果,根据获...     

中型景观尺度下斑块类型和地理特征影响杨树人工林干部病害的发生——以河南省清丰县为例

景观病理学在开展病原扩散、病害发生及其严重程度方面以其全新的视角,为森林病害的区域控制提供了新的研究技术及理论支持。首次利用景观病理学原理和方法对河南省清丰县一个中型景观下杨树人工林干部病害发生特征开展了研究,目的是解析在大尺度下斑块类型和地理特征对杨树人工林病害发生的影响。在100 km2的调查区域,以种植方式和林分类型划分斑块类型,分析显示发病株率在不同斑块间差异显著：农田间作斑块的林木发病株率显著低于孤立斑块、纯林斑块、混交林等斑块的发病株率;但发病株率在孤立斑块、纯林斑块及混交林等斑块间无显著差异。抚育管理措施对预防和减轻杨树人工林干部病害的发生起到关键左右：精细管理林分（有修枝、施肥和锄草）的林木发病株率（p=0.001）和发病指数（p〈0.001）均显著低于粗放管理林分（无修枝、无施肥和锄草等）。人类活动,如无序修剪和放牧很可能是造成村落附近林分发病率显著高于其他地点林分的主要原因。采用logistic回归,以品种编号、树龄、树高、林分密度、林分郁闭度、林分类型、斑块类型、地理特征,等为自变量建立病害发生预测模型。方程拟合达到极显著水平（Wald=71.248,p〈0.001）。方程总的预测正确率为68.2%,发病的预测正确率为79.8%。     

Effect of Planning for Connectivity on Linear Reserve Networks

Although the concept of connectivity is decades old, it remains poorly understood and defined, and some argue that habitat quality and area should take precedence in conservation planning instead. However, fragmented landscapes are often characterized by linear features that are inherently connected, such as streams and hedgerows. For these, both representation and connectivity targets may be met with little effect on the cost, area, or quality of the reserve network. We assessed how connectivity approaches affect planning outcomes for linear habitat networks by using the stock‐route network of Australia as a case study. With the objective of representing vegetation communities across the network at a minimal cost, we ran scenarios with a range of representation targets (10%, 30%, 50%, and 70%) and used 3 approaches to account for connectivity (boundary length modifier, Euclidean distance, and landscape‐value [LV]). We found that decisions regarding the target and connectivity approach used affected the spatial allocation of reserve systems. At targets ≥50%, networks designed with the Euclidean distance and LV approaches consisted of a greater number of small reserves. Hence, by maximizing both representation and connectivity, these networks compromised on larger contiguous areas. However, targets this high are rarely used in real‐world conservation planning. Approaches for incorporating connectivity into the planning of linear reserve networks that account for both the spatial arrangement of reserves and the characteristics of the intervening matrix highlight important sections that link the landscape and that may otherwise be overlooked. El Efecto de la Planeación para la Conectividad en Redes de Reservas Lineales     

Fire Mosaics and Reptile Conservation in a Fire‐Prone Region

Fire influences the distribution of fauna in terrestrial biomes throughout the world. Use of fire to achieve a mosaic of vegetation in different stages of succession after burning (i.e., patch‐mosaic burning) is a dominant conservation practice in many regions. Despite this, knowledge of how the spatial attributes of vegetation mosaics created by fire affect fauna is extremely scarce, and it is unclear what kind of mosaic land managers should aim to achieve. We selected 28 landscapes (each 12.6 km²) that varied in the spatial extent and diversity of vegetation succession after fire in a 104,000 km² area in the semiarid region of southeastern Australia. We surveyed for reptiles at 280 sites nested within the 28 landscapes. The landscape‐level occurrence of 9 of the 22 species modeled was associated with the spatial extent of vegetation age classes created by fire. Biogeographic context and the extent of a vegetation type influenced 7 and 4 species, respectively. No species were associated with the diversity of vegetation ages within a landscape. Negative relations between reptile occurrence and both extent of recently burned vegetation (≤10 years postfire, n = 6) and long unburned vegetation (>35 years postfire, n = 4) suggested that a coarse‐grained mosaic of areas (e.g. >1000 ha) of midsuccessional vegetation (11–35 years postfire) may support the fire‐sensitive reptile species we modeled. This age class coincides with a peak in spinifex cover, a keystone structure for reptiles in semiarid and arid Australia. Maintaining over the long term a coarse‐grained mosaic of large areas of midsuccessional vegetation in mallee ecosystems will need to be balanced against the short‐term negative effects of large fires on many reptile species and a documented preference by species from other taxonomic groups, particularly birds, for older vegetation. Mosaicos de Fuego y la Conservación de Reptiles en una Región Propensa al Fuego     

Evaluating the Success of Conservation Actions in Safeguarding Tropical Forest Biodiversity

Abstract: We reviewed the evidence on the extent and efficacy of conservation of tropical forest biodiversity for each of the classes of conservation action defined by the new International Union for Conservation of Nature (IUCN) classification. Protected areas are the most tested conservation approach, and a number of studies show they are generally effective in slowing deforestation. There is some documentation of the extent of sustainable timber management in tropical forest, but little information on other landscape‐conservation tactics. The extent and effectiveness of ex situ species conservation is quite well known. Forty‐one tropical‐forest species now survive only in captivity. Other single‐species conservation actions are not as well documented. The potential of policy mechanisms, such as international conventions and provision of funds, to slow extinctions in tropical forests is considerable, but the effects of policy are difficult to measure. Finally, interventions to promote tropical conservation by supporting education and livelihoods, providing incentives, and furthering capacity building are all thought to be important, but their extent and effectiveness remain poorly known. For birds, the best studied taxon, the sum of such conservation actions has averted one‐fifth of the extinctions that would otherwise have occurred over the last century. Clearly, tropical forest conservation works, but more is needed, as is critical assessment of what works in what circumstances, if mass extinction is to be averted.     

Coastal landscape preference evaluation: A comparison among tourists in Greece

An evaluation of coastal landscape of pine forest in Greece by summer visitors of various nationalities was carried out. The visual preferences for a set of landscape, represented in photographs, expressed by these various nationality groups were compared. The subjects used in this research came from Greece, Germany, Italy, France, Great Britain, Austria, Yugoslavia, and Scandinavian countries. The findings show that there is an agreement over the basic preference, but, nevertheless, there are differences of opinion between the nationality groups that might be attributed to cultural influences and the effect of being familiar with their own environments. Since coastal landscape plays an important role in the tourist industry, these findings could be very useful to policy-making agencies.