The role of local and landscape level measures of greenness in modelling boreal plant species richness

Measurements of primary productivity and its heterogeneity based on satellite images can provide useful estimates of species richness and distribution patterns. However, species richness at a given site may depend not only on local habitat quality and productivity but also on the characteristics of the surrounding landscape. In this study we investigated whether the predictions of species richness of plant families in northern boreal landscape in Finland can be improved by incorporating greenness information from the surrounding landscape, as derived from remotely sensed data (mean, maximum, standard deviation and range values of NDVI derived from Landsat ETM), into local greenness models. Using plant species richness data of 28 plant families from 440 grid cells of 25 ha in size, generalized additive models (GAMs) were fitted into three different sets of explanatory variables: (1) local greenness only, (2) landscape greenness only, and (3) combined local and landscape greenness. The derived richness–greenness relationships were mainly unimodal or positively increasing but varied between different plant families, and depended also on whether greenness was measured as mean or maximum greenness. Incorporation of landscape level greenness variables improved significantly both the explanatory power and cross-validation statistics of the models including only local greenness variables. Landscape greenness information derived from remote sensing data integrated with local information has thus the potentiality to improve predictive assessments of species richness over extensive and inaccessible areas, especially in high-latitude landscapes. Overall, the significant relationship between plants and surrounding landscape quality detected here suggests that landscape factors should be considered in preserving species richness of boreal environments, as well as in conservation planning for biodiversity in other environments.     

Conservation Threats Due to Human-Caused Increases in Fire Frequency in Mediterranean-Climate Ecosystems

Periodic wildfire is an important natural process in Mediterranean-climate ecosystems, but increasing fire recurrence threatens the fragile ecology of these regions. Because most fires are human-caused, we investigated how human population patterns affect fire frequency. Prior research in California suggests the relationship between population density and fire frequency is not linear. There are few human ignitions in areas with low population density, so fire frequency is low. As population density increases, human ignitions and fire frequency also increase, but beyond a density threshold, the relationship becomes negative as fuels become sparser and fire suppression resources are concentrated. We tested whether this hypothesis also applies to the other Mediterranean-climate ecosystems of the world. We used global satellite databases of population, fire activity, and land cover to evaluate the spatial relationship between humans and fire in the world's five Mediterranean-climate ecosystems. Both the mean and median population densities were consistently and substantially higher in areas with than without fire, but fire again peaked at intermediate population densities, which suggests that the spatial relationship is complex and nonlinear. Some land-cover types burned more frequently than expected, but no systematic differences were observed across the five regions. The consistent association between higher population densities and fire suggests that regardless of differences between land-cover types, natural fire regimes, or overall population, the presence of people in Mediterranean-climate regions strongly affects the frequency of fires; thus, population growth in areas now sparsely settled presents a conservation concern. Considering the sensitivity of plant species to repeated burning and the global conservation significance of Mediterranean-climate ecosystems, conservation planning needs to consider the human influence on fire frequency. Fine-scale spatial analysis of relationships between people and fire may help identify areas where increases in fire frequency will threaten ecologically valuable areas.     

Mapping of temperature and line-of-sight errors in constituent retrievals for MIPAS/ENVISAT measurements

An optimized code for the near real-time retrieval of line of sight, temperature and volume-mixing ratio profiles of five key species (O₃, H₂O, HNO₃, CH₄ and N₂O) from infrared limb spectra recorded by the Michelson Interferometer for Passive Atmospheric Sounding (MIPAS) experiment on board the ENVISAT-1 satellite was developed as part of an ESA-supported study. In this code line of sight and temperature are retrieved simultaneously among themselves, but sequentially with respect to the volume-mixing ratio of the five key species. The sequential retrieval leaves unaccounted the mapping of line of sight and temperature errors in the retrieved volume-mixing ratio of the constituents. This paper illustrates an algorithm that provides the a-posteriori evaluation of temperature and line-of-sight-induced error on the retrieved volume-mixing ratio of the MIPAS key species. It is shown that in most cases temperature and line-of-sight-induced error provides a significant contribution to the total volume-mixing ratio error. The variability of this error as a function of latitude, season and atmospheric model is also analyzed.     

浅析景区规划的CIS导入

以南京著名旅游景区玄武湖公园为例,该景区多年来虽经数次数规划和修缮,仍然存在不少问题和不尽人意之处。究其原因,主要是公园定位模糊、布局凌乱、解说系统不完善、旅游环境破坏严重。改善现状的最佳方法是导入ＣＩＳ,进行总体形象规划。作者提出了规划方案以及引入ＭＩ、ＢＩ、ＶＩ等概念和具体作法,为南京玄弄湖景区进一步发展提出了具体实施意见,同时也为其它类似景区的开发和规划提供了科学的参考意见。     

浅析宜宾市旅游资源开发的方向与对策

通过分析宜宾市旅游资源开发的现状及问题,对该市旅游资源的开发方向提出了自己的见解,并具体论述了该市旅游资源开发的对策。     

INTEGRATING DEMOGRAPHIC AND LANDSAT (TM) DATA AT A WATERSHED SCALE1

ABSTRACT: Recurrent calls for integrated resource management urge that an understanding of human activities and populations be incorporated into natural resource research, management, and protection efforts. In this paper, we hypothesize that watersheds can be a valuable geography for organizing an inquiry into the relationship between humans and the environment, and we present a framework for conducting such efforts. The framework is grounded in the emerging field of landscape ecology and incorporates demographic theory and data. Demography has been advanced by technological capabilities associated with the 1990 Census. Employing Geographic Information System (GIS) tools, we couple Landsat Thematic Mapper (TM) land cover data with census‐derived housing density data to demonstrate the operation of our framework and its utility for better understanding human‐landscape interactions. In our investigation of the Kickapoo Watershed and two sub‐ watersheds, located in southwestern Wisconsin, we identify relationships between landscape composition and the distribution and social structure of human populations. Our findings offer insight into the interplay between people and biophysical systems.     

应用遥感技术监测和评价太湖水质状况

利用遥感信息和有限的实地监测数据建立了太湖水质参数预测模型 ,该方法可以用于太湖水质污染的预测、分析和评价 ,能够较好地反映水质的空间分布特征 ,尤其适合于大范围水域的快速监测 .研究结果表明 ,利用单波段、多波段因子组合以及主成分分析等手段可以使遥感信息得到更充分的利用 ,从而使预测结果更加精确 .预测结果显示 ,太湖流域已经呈现了严重的富营养化趋势 ,且空间分布不均衡 .东太湖以及靠近无锡和苏州的湖体附近相对污染更为严重 .     

Cryptic prey colouration increases search time in brown trout (<Emphasis Type="Italic">Salmo trutta</Emphasis>): effects of learning and body size

Little is known about how cryptic colouration influences prey search in near-surface aquatic habitats, although such knowledge is critical for understanding the adaptive value of colour crypsis as well as the perceptive constraints influencing foraging behaviour in these environments. This study had two main aims: (1) to investigate how background colour matching by prey affects foraging efficiency by brown trout parr and (2) to investigate how foraging ability on cryptic and conspicuous prey is affected by fish size at age (reflecting dominance). We addressed these questions by training wild brown trout parr to forage individually on live brown-coloured maggots on a cryptic (brown) or conspicuous (green) background. A separate experiment confirmed the absence of trout preference for brown or green substrate. The results show that prey background colour matching increases search time in brown trout. Search time generally decreased by learning, but conspicuous prey remained an easier prey to find throughout the six training trials. Thus, perceptive constraints appear to limit search efficiency for cryptic prey, suggesting that cryptic colouration can confer survival benefits to prey in natural environments. Smaller fish generally found conspicuous prey faster than larger individuals, whereas search time for cryptic prey was not influenced by body size. This suggests that smaller individuals compensate for inferior competitive ability by increasing foraging activity rather than improving cognitive ability. The technique of varying cognitive demands in behavioural tasks could be used more in future studies aimed at distinguishing motivational effects from cognitive explanations for variation in behavioural performance.     

热电池失效分析及等效加速贮存试验技术

目的 建立基于实测环境载荷的热电池等效加速贮存试验技术,掌握其在环境载荷作用下的性能退化规律。方法 在分析热电池组成和所受环境载荷情况的基础上,分析热电池的主要失效模式,设计基于实测环境数据的等效加速贮存试验,开展热电池等效加速贮存试验,分析热电池性能和热图像的变化情况,利用粒子滤波算法对电池剩余电容量进行预测。结果 随加速循环次数（时间）的增加,热电池的电容量下降。热图像表明,热电池经过等效加速贮存试验后,其放电过程表面温度要高于初始放电表面温度。粒子滤波算法能够有效模拟电容量的退化过程,电池剩余电容量预测结果与试验结果误差在10%以内。结论 等效加速贮存试验得到了热电池的性能退化规律,从而为热电池的贮存试验提供一种解决方案。     

城市街景环境与社会安全事件的空间关系研究

为研究城市街景环境与社会安全事件之间的空间关系,提出融合语义分割技术与地理加权回归方法,基于国内典型城市街景环境数据和社会安全事件数据,验证方法的可行性。研究结果表明：模型校正拟合因子R²在0.744～0.841之间,拟合效果较好,街景环境要素指标与社会安全事件存在显著空间相关性;绿视指数和天空开阔指数与社会安全事件在大部分区域呈显著负相关关系,交通信号指数、汽车指数和人群聚集指数与社会安全事件呈显著正相关关系,研究结果可为城市安全规划和社会安全风险防控提供决策支持。