Hazards Affecting Grizzly Bear Survival in the Greater Yellowstone Ecosystem

Abstract: During the past 2 decades, the grizzly bear (Ursus arctos) population in the Greater Yellowstone Ecosystem (GYE) has increased in numbers and expanded its range. Early efforts to model grizzly bear mortality were principally focused within the United States Fish and Wildlife Service Grizzly Bear Recovery Zone, which currently represents only about 61% of known bear distribution in the GYE. A more recent analysis that explored one spatial covariate that encompassed the entire GYE suggested that grizzly bear survival was highest in Yellowstone National Park, followed by areas in the grizzly bear Recovery Zone outside the park, and lowest outside the Recovery Zone. Although management differences within these areas partially explained differences in grizzly bear survival, these simple spatial covariates did not capture site-specific reasons why bears die at higher rates outside the Recovery Zone. Here, we model annual survival of grizzly bears in the GYE to 1) identify landscape features (i.e., foods, land management policies, or human disturbances factors) that best describe spatial heterogeneity among bear mortalities, 2) spatially depict the differences in grizzly bear survival across the GYE, and 3) demonstrate how our spatially explicit model of survival can be linked with demographic parameters to identify source and sink habitats. We used recent data from radiomarked bears to estimate survival (1983–2003) using the known-fate data type in Program MARK. Our top models suggested that survival of independent (age ≥ 2 yr) grizzly bears was best explained by the level of human development of the landscape within the home ranges of bears. Survival improved as secure habitat and elevation increased but declined as road density, number of homes, and site developments increased. Bears living in areas open to fall ungulate hunting suffered higher rates of mortality than bears living in areas closed to hunting. Our top model strongly supported previous research that identified roads and developed sites as hazards to grizzly bear survival. We also demonstrated that rural homes and ungulate hunting negatively affected survival, both new findings. We illustrate how our survival model, when linked with estimates of reproduction and survival of dependent young, can be used to identify demographically the source and sink habitats in the GYE. Finally, we discuss how this demographic model constitutes one component of a habitat-based framework for grizzly bear conservation. Such a framework can spatially depict the areas of risk in otherwise good habitat, providing a focus for resource management in the GYE.     

北京地区热力景观格局及典型城市景观的热环境效应

城市热环境是城市生态环境中的一个重要指标,将景观生态学理论融入到热环境研究中,尝试探讨北京地区热力景观格局及城市公园、道路景观的热环境效应。地表温度反演是分析热力景观格局及典型城市景观热环境效应的前提,论文以北京地区为例,首先利用两景ASTER影像数据采用TES算法定量反演地表温度。通过半变异函数分析地表温度空间异质性,确定最大采样尺度,然后在景观统计软件Fragstats中,计算不同粒度下的景观格局指数,分析热力景观格局及其尺度效应。通过景观斑块特征分析和缓冲区分析,探讨公园景观斑块、道路景观廊道特征的热环境效应。总体上公园景观对应的平均温度随着公园面积、边界长度的增加而减小,随着公园周长面积比增大而增大;随着距离公园渐远,地表温度升高,且升温趋势变缓。随着道路密度增加,道路平均温度显著升高,标准差显著降低,道路密度等级与道路平均温度的相关系数达到0.8021;随着距离道路中心线距离增加,缓冲区内的平均温度略有下降,但变化微弱。因此,应充分重视公园景观在缓解城市热环境方面的作用,合理布局城市道路。     

Factors Affecting Revegetation of Oil Field Access Roads in Semiarid Grassland

We assessed vegetation recovery on access roads removed after well abandonment in an active oil‐producing region of northern Great Plains grasslands. We compared extant vegetation on 58 roads, restored 3–22 years previously, to records of species seeded on each and to adjacent, undisturbed prairie, to evaluate main differences between the restored and adjacent community and to explore patterns in the restored plant community over time. The restored plant community was dominated by low richness of seeded non‐native and native grasses and forbs, whereas adjacent prairie had numerous, abundant native graminoids and shrubs and higher richness of native forbs. Cover of seeded species on roads was double that of colonizing species. Disparity in cover of dominant native grasses between the adjacent community and relatively narrow restored roadway suggests that conditions for germination and survival in roadbeds are poor. This is at least partly due to persistence of seeded species. Differences in restored plant composition over time were best explained by changes in species seeded, from non‐natives to natives, and secondarily by successional shifts from ruderal to perennial non‐seeded species. Of the 30 species seeded at least once on these roads, only 10 were commonly used. The long‐term influence of seeding choices in grassland road restorations implies that improvements in these practices will be critical to reversing ecological impacts of roads.     

Road effects on vegetation composition in a saline environment

Aims Road effects from maintenance and traffic have the potential to alter plant communities, but the exact relationships between these effects and changes in plant community composition have not often been studied in diverse environments. To determine the direction and level of community composition changes in saline environment due to road effects, we conducted a study along roads of different ages and in nearby non-road (i.e. natural) areas in the Yellow River Delta, China. Additionally, to potentially elucidate the mechanisms underlying the changes in the richness and composition of plant communities along roads, we evaluated physiochemical changes in soil of roadside and non-road areas.Methods Floristic and environmental data were collected along roadside of different ages and nearby non-road areas. To evaluate plant communities at each site, six 2 m × 2 m quadrats were placed at 3-m intervals along roads and six quadrats were arranged randomly in non-road areas. To determine the difference in plant community composition between roadside and non-road areas, we measured species richness and the abundance of each species, examined species turnover and floristic dissimilarity between the two areas and positioned plant species and sites in an abstract multivariate space. Plant community (species richness, percentage of halophytes) and soil physicochemical properties (pH, salinity, moisture content, bulk density, nitrate and ammonium nitrogen concentration) were compared between roadside and non-road areas (young roadside vs. corresponding non-road areas, old roadside vs. corresponding non-road areas) by using t -tests. Classification and ordination techniques were used to examine the relationship between vegetation and related environmental variables in both roadside and non-road areas.Important findings For both the young and old roadside areas, species richness in roadside areas was significantly higher than in non-road areas and high floristic dissimilarity values indicated that roadside and non-road areas differed greatly in community composition. In both the young and old roadside areas, the plant communities in roadside areas had lower percentages of halophytes than non-road communities. Correspondence analysis and two-way indicator species analysis showed that halophytes dominated in the non-road areas, while a number of typical non-salt-tolerant species dominated in the roadside areas. Compared to non-road areas, activities associated with roads significantly decreased soil moisture, bulk density and salinity and increased soil pH and nitrate content. Forward selection for the environmental variables in canonical correspondence analysis showed that soil salinity was the most important factor related to the variation of species composition between roadside and non-road areas. Our study demonstrates that road effects have a significant impact on the associated vegetation and soil, and these changes are consistent across roads of different ages in our system.     

基于景观格局与过程的云南省典型地区道路网络生态效应

利用概率连接度指数的量化分析方法,分析了云南省典型地区道路网络对景观格局、生态过程以及景观功能的影响.结果表明：研究区道路网络加剧了区域景观的破碎化程度;道路网络对不同生态过程的迁移路径结构、数目以及分布的影响有所不同,影响程度随迁移扩散能力的增加而增加;道路网络总体上降低了景观维持生态过程连续性的功能（不同情景平均下降超过10%）,使各个斑块在景观中的功能退化（平均下降超过40%）,影响程度随迁移扩散能力的增加而增加.     

厦门市交通主干道绿化带结构及其减噪效果研究

通过对厦门市主干道绿化带种类结构调查以及噪声测定等,分析了厦门市主干道绿化带结构及其减噪效果。结果表明,厦门市主干道绿化带可分为4种结构:单一乔木型、乔木+疏灌木/绿篱型、乔木+密灌木型以及乔木+小乔木+灌木/绿篱型,带宽多在4~10 m。厦门市主干道绿化带总体减噪能力为0.93~12.96 dB,绿化带对交通噪声超标治理率达70%。绿化带减噪能力y(dB)与带宽x(m)呈显著的线性关系:y=1.2251x+0.2416(R²=0.8603);绿化带的附加衰减与总衰减亦呈显著正相关:y=0.4535x+0.2698 (R²=0.9242),噪声的附加衰减主要受绿化带结构的影响,上述四种结构对噪声附加衰减平均值分别达0.93、2.25、4.43和6.72 dB。绿化带的宽度和结构均是影响其减噪效果的关键因素。     

岷江上游土地利用/覆被变化及其驱动力

岷江上游具有自然环境的复杂性、生态系统的脆弱性、经济发展的边缘性、社会文化的过渡性等特性,其土地利用/土地覆盖变化的特点可以代表我国西南山地土地资源及利用中所存在的普遍问题.林地和草地是岷江上游地区的主要土地利用类型.从1974～2000年间各个土地利用类型均发生了不同程度的变化,林地面积持续减少,其它类型面积均有不同程度的增加.类型间的面积变化均为双向,主要发生在有林地、灌木林地、经济林地、草地、居民用地和耕地之间,且主要在林地和草地两个类型之间.其中1974～1986年的变化大于1986~2000年.人口和经济是该区土地利用变化的主要驱动因素.自实施天然林保护工程和退耕还林还草工程以来,该区土地利用状况有所好转,正在向好的方向发展.     

基于MaxEnt模型的道路对朱鹮繁殖地的影响

道路对野生动物适宜繁殖地影响的定量研究是目前道路生态学领域有待深入的内容之一.本文以国家一级保护动物朱鹮为研究对象,利用物种分布模型(SDM)中MaxEnt模型,通过对影响朱鹮繁殖地的环境变量进行自相关分析,剔除自相关系数大于0.8的环境变量,最终选择了10个环境变量为朱鹮繁殖地的影响因子,分别为最冷季度平均气温、景观类型、归一化植被指数、坡度、坡向、距水体距离、距水田距离、距高等级公路(县级及以上道路)距离、距低等级公路(乡镇和林间道路)距离、距居住地距离.通过对环境变量的贡献率进行分析表明: 最冷季度平均气温、景观类型以及距水田距离、距高等级公路距离是影响朱鹮筑巢的主要因子.分别研究了含道路变量(情景Ⅰ)、不含高等级公路(情景Ⅱ)以及不含低等级公路(情景Ⅲ)3种情景下朱鹮繁殖地适宜区分布.结果表明:道路对朱鹮繁殖地干扰影响显著,高等级公路的影响比低等级公路大,高等级公路和低等级公路的存在分别使朱鹮繁殖地适宜区的面积减小了66.23和35.69 km².朱鹮筑巢对高等级公路有明显的回避效应,平均回避距离为1500 m.本研究对未来制定朱鹮的保护管理措施具有重要意义,同时可为工程建设项目对野生动物的环境影响定量评价提供应用示范.