Change in avian functional fingerprints of a Neotropical montane forest over 100 years as an indicator of ecosystem integrity

Ecologically relevant traits of organisms in an assemblage determine an ecosystem's functional fingerprint (i.e., the shape, size, and position of multidimensional trait space). Quantifying changes in functional fingerprints can therefore provide information about the effects of diversity loss or gain through time on ecosystem condition and is a promising approach to monitoring ecological integrity. This, however, is seldom possible owing to limitations in historical surveys and a lack of data on organismal traits, particularly in diverse tropical regions. Using data from detailed bird surveys from 4 periods across more than a century, and morphological and ecological traits of 233 species, we quantified changes in the avian functional fingerprint of a tropical montane forest in the Andes of Colombia. We found that 78% of the variation in functional space, regardless of period, was described by 3 major axes summarizing body size, dispersal ability (indexed by wing shape), and habitat breadth. Changes in species composition significantly altered the functional fingerprint of the assemblage and functional richness and dispersion decreased 35–60%. Owing to species extirpations and to novel additions to the assemblage, functional space decreased over time, but at least 11% of its volume in the 2010s extended to areas of functional space that were unoccupied in the 1910s. The assemblage now includes fewer large-sized species, more species with greater dispersal ability, and fewer habitat specialists. Extirpated species had high functional uniqueness and distinctiveness, resulting in large reductions in functional richness and dispersion after their loss, which implies important consequences for ecosystem integrity. Conservation efforts aimed at maintaining ecosystem function must move beyond seeking to sustain species numbers to designing complementary strategies for the maintenance of ecological function by identifying and conserving species with traits conferring high vulnerability such as large body size, poor dispersal ability, and greater habitat specialization. Article impact statement: Changes in functional fingerprints provide a means to quantify the integrity of ecological assemblages affected by diversity loss or gain.     

Using environmental and geographic data to optimize ex situ collections and preserve evolutionary potential

Maintenance of biodiversity through seed banks and botanical gardens, where the wealth of species’ genetic variation may be preserved ex situ, is a major goal of conservation. However, challenges can persist in optimizing ex situ collections if trade-offs exist among cost, effort, and conserving species evolutionary potential, particularly when genetic data are not available. We evaluated the genetic consequences of population preservation informed by geographic (isolation by distance [IBD]) and environmental (isolation by environment [IBE]) distance for ex situ collections for which population provenance is available. We used 19 genetic and genomic data sets from 15 plant species to assess the proportion of population genetic differentiation explained by geographic and environmental factors and to simulate ex situ collections prioritizing source populations based on pairwise geographic distance, environmental distance, or both. Specifically, we tested the impact prioritizing sampling based on these distances may have on the capture of neutral, functional, or putatively adaptive genetic diversity and differentiation. Individually, IBD and IBE explained limited population genetic differences across all 3 genetic marker classes (IBD, 10–16%; IBE, 1–5.5%). Together, they explained a substantial proportion of population genetic differences for functional (45%) and adaptive (71%) variation. Simulated ex situ collections revealed that inclusion of IBD, IBE, or both increased allelic diversity and genetic differentiation captured among populations, particularly for loci that may be important for adaptation. Thus, prioritizing population collections based on environmental and geographic distance data can optimize genetic variation captured ex situ. For the vast majority of plant species for which there is no genetic information, these data are invaluable to conservation because they can guide preservation of genetic variation needed to maintain evolutionary potential within collections.     

基于模糊推理的FRAM事故定量分析方法研究

为有效克服FRAM事故分析中无法进行定量分析的缺陷，提出结合模糊推理技术的Fuzzy FRAM模型。此改进模型基于FRAM识别系统运行状态；依据功能输出要素的时间/精度属性利用Matlab构建2阶模糊推理系统量化功能输出质量；根据通用性能条件(CPC)及功能输入耦合端口构建功能评价体系，针对评价体系中存在的不确定性信息融合及建模问题，采用模糊证据推理技术，通过模糊信度结构建立、数据处理、信息融合测度后获得功能的风险指数;以既有铁路危险品运输事故为例，验证方法的可行性。结果表明:Fuzzy FRAM模型的评估结果较为精确，是FRAM分析方法的有效补充。     

How farmers develop local ecological knowledge for on-farm tree management: The perspectives of some farming communities of Ghana

Scientific insights into what it means to manage on-farm trees by local farmers, is an essential step towards documenting local ecological knowledge for sustainable landscape management. A study was therefore conducted in the Kumawu Forest District in the Ashanti Region of Ghana to assess how farmers conceptualise on-farm tree management and develop local knowledge for it. Using a case study approach, data were collected through informal interviews and focus group discussions with 120 farmers drawn from 15 communities who were involved in the management of three cropping systems; cocoa, maize and cassava-cocoyam-plantain mix. It was observed that the farmers regard on-farm tree management as a continuous process which occurs in three phases of the farming cycle; land preparation, crop cultivation and fallow management. For each of the three phases, farmers are guided by specific principles that ensure enough light penetration in-between tree crowns in the land preparation phase, suitable spacing between trees and crops in the crop cultivation phase and adequate tree regeneration in the fallow phase. The decisions made during the selection of tree species, spacing of trees adjudged suitable for any particular cropping system and recruitment of saplings prior to the fallow phase of farming constitute tree management. Farmers develop tree management knowledge by studying the physical characteristics of species, matching them to ecological functions they could perform and how they are likely to respond to treatments meant to control or enhance their development. Species are then subjected to trial and recommended or otherwise.     

都江堰灵岩山3种人工林优势物种叶片的有机组分特征

叶片的有机组分特征不仅是植物光合产物分配策略和养分回收的重要参数,而且是衡量凋落叶分解难易程度的重要指标.为探究不同植物群落叶片间有机组分的差异,以华西雨屏区人工林的优势乔、灌、草植物作为对象,收集其成熟叶及凋落叶,研究其水溶性组分(water soluble component,WSC)、有机溶性组分(organic solvent soluble component,OSC)、酸溶性组分(acid-soluble extractive,ASE)和酸不溶性组分(acid-insoluble residue,AIR)含量特征.结果显示:植物叶片整体的WSC、OSC、ASE和AIR的平均相对含量为分别为25.05%、6.56%、34.30%和35.05%,表现为AIR> ASE> WSC> OSC.成熟叶和凋落叶同种组分的相对含量存在差异,成熟叶中ASE的相对含量(36.34%)最高,凋落叶中AIR含量(39.63%)最高.乔、灌、草层植物成熟叶的WSC、OSC、ASE的相对含量高于凋落叶,而AIR的相对含量低于凋落叶,其中WSC的相对含量在成熟叶和凋落叶间差异显著.不同植物功能群的同一组分间存在差异,木本植物WSC、ASE的相对含量低于草本植物,而OSC、AIR的相对含量高于草本植物.因此,植物叶片的有机组分特征不仅受到叶类型的影响,也受到不同植物功能群的影响;结果可为理解亚热带人工林植物的养分利用效率和凋落物分解机制提供重要理论依据.(图5表1参50)     

基于数据库的植物功能性状研究现状文献计量学分析

植物功能性状数据库是功能生态学研究的重要工具.了解基于植物功能性状数据库的植物功能性状研究现状,对探讨功能多样性和生物多样性具有重要的指导意义.介绍植物功能性状数据库的类型、影响力的评价方法和使用方法,并整理了17个植物功能性状库(附表).同时,通过Web of Science检索了2008-2018年间基于植物功能性状数据库开展植物功能性状研究的论文,从刊文数量、期刊分布、研究机构、主要作者、研究热点等方面进行分析.结果表明:基于数据库开展植物功能性状研究的文章数量和被引次数呈快速增长的趋势.当前此方向的研究主要以少数学者、机构为核心,大量论文发表在少数期刊上.研究热点主要体现在群落生态学、气候变化和性状进化、恢复和生存策略等方面.未来应加强研究者、研究机构之间的合作,数据共享,建立全球型的数据完善的植物功能性状数据库,同时加强数据标准化处理,解决地下性状和生理性状等难以获取及量化的问题,完善化石记录的植物性状和植物不同生长阶段的植物功能性状数据.(图5表4参60附表1)     

联网激光雷达的观测性能综合平行比对

激光雷达以其高精度的探测能力在大气污染研究中得到了广泛应用。由于生产厂家和反演算法等的差异,激光雷达观测数据的质量参差不齐。笔者利用2013年11月和2014年3月2种不同型号激光雷达(高频激光雷达和微脉冲激光雷达) 532 nm波段的气溶胶消光系数和气溶胶自动观测网(AERONET)光学厚度数据,对2部雷达在不同空气质量下的观测性能进行综合对比。结果表明:2部雷达在不同空气质量条件下探测效果不同,空气质量为优和良时,2部雷达的消光系数比较一致,偏差主要在1 km以下;随着污染加剧,2部雷达在1 km以下的偏差先减小后增大,1 km以上的偏差随高度增大。与AERONET的光学厚度相比,高频激光雷达在轻度污染和严重污染时相对误差较小(3. 23%和26. 75%);微脉冲激光雷达在良和轻度污染时相对误差较小(40. 00%和25. 81%)。2部雷达设备的差异和重污染时不利的气象条件是影响雷达表现的重要原因。该研究作为全国激光雷达联网的前期工作,为全国激光雷达数据的综合应用提供了参考。     

贵阳市不同粒级地表灰尘中As、Ni水平及权重

根据贵阳市城区土地利用的情况,在不同功能区地表采集灰尘样品,分析As、Ni含量及变异规律。结果表明:贵阳市地表灰尘As、Ni含量分别为17.4mg/kg和50.0mg/kg。工业区地表灰尘中As、Ni含量最高,商贸区和校园等区域As、Ni水平较低。贵阳市地表灰尘中不同颗粒物的质量百分比大小为细颗粒(<105μm)>中等颗粒(105～250μm)>粗颗粒(250～425μm)。As在不同粒径灰尘中含量差别不大,Ni在不同粒径灰尘中含量随粒径增加而降低。细颗粒对灰尘As、Ni的贡献分别为42%和47%。除垃圾站外,贵阳市各功能区地表灰尘不同粒径颗粒物百分比随粒径增大而减小,其中交通区地表灰尘细颗粒所占比例最大。垃圾站地表灰尘中不同粒径颗粒百分比则随粒径增大而增大,As、Ni在垃圾站地表灰尘中颗粒物贡献为中等颗粒>粗颗粒>细颗粒,其余功能区不同粒径颗粒物的贡献基本为细颗粒大于粗颗粒。     

老边区城区环境噪声功能区划分综述

噪声功能区划分是环境保护工作的主要内容之一。通过对营口市老边区自然条件及城区状况的分析,对噪声区域进行了详细科学的划分,为提高人居环境质量、加强噪声防治工作及城市规划建设提供了参考。     

等标污染负荷法评价炼油污水污染源及分质治理

应用等标污染负荷法,以GB8978-1996一级标准作为评价标准,对某炼化企业各生产装置所排污水进行评价,分析主要污染源排污口和主要污染物,并提出分质治理建议。