鄱阳湖候鸟保护区的自然环境

根据较丰富的第一手资料,叙述了鄱阳湖候鸟保护区内的自然环境因素:气候、水文、水质、动植物资源等。调查表明,保护区内冬季气候温和,平均气温在5.0℃以上,平均水温为6.2℃,每年10月至次年3月的气温、水温和水深适宜候鸟越冬;水质较好;水陆动植物和鸟类资源丰富,有许多国家级保护鸟类,如白鹤、小天鹅等。文章最后呼吁,要切实保护好鄱阳湖这块世界A级自然保护区,增划一些禁猎区、广泛开展爱鸟活动,形成依法护鸟,全民爱鸟的社会风气。     

黄河三角洲浅海滩涂湿地环境污染对鸟类多样性的影响

1996-2001年对黄河三角洲浅海滩涂湿地环境质量。鸟类多样性进行了较为全面的调查监测与研究。评价了环境质量。分析了鸟类种群组成，区系组成，季节居留型及多样性特点，确定了鸟类多样性分布中心，研究了环境污染对鸟类多样性的影响，提出了保护鸟类多样性的对策建议。     

Landscape structure and bird's diversity in the rural areas of Taiwan

This study tries to discuss the relationship between landscape structure and organisms in the perspective of landscape architecture.The research hypotheses were then proposed as (1) there are relationships between landscape structure indexes and birds‘ diversity in the rural areas of Taiwan;(2)the relationships between landscape structure and birds‘ diversity will be different in different hierarchical levels.In order to increase the bird species,landscape planners could tries to increase the density of water bodies,but decrease the farms and human planted woods.Decrease the density of constructed and human planted grasslands.Increase the area of un-worked acres,natural grasslands,and the area of water bodies and circular the water bodies and natural forest.In order to increase birds‘ diversity,landscape planners could decrease the concentration of paved areas.Concentrate the human planted trees to increase the core areas of woodlands.Increase the area of natural grassland circular.In order to increase the total number of birds in the planning areas,landscape planners could scattered the paved areas and lengthen the constructed areas.Decreases the core region of the constructed areas.Increase the area of un-worked acres and water bodies.Decrease the disturbance of both the interior area of natural and human planted woodlands and try to increase the density of water bodies.The analysis results showed that the small grain size indexes are more suitable for the rural areas of Taiwan to capture the influential factors of bird communities.The high fragmentation of land usages in Taiwan lessens the influences of the regional landscape pattern.     

粤港澳大湾区红树林湿地鸟类生态健康评价——以深圳湾为例

基于层次分析法构建了红树林湿地鸟类生态健康评价指标体系,并以深圳湾福田红树林湿地为例评价了粤港澳大湾区红树林湿地鸟类生态健康.结果表明：红树林湿地鸟类生态健康评价功能层指标的权重为：栖息地适宜性指数（0.443） > 栖息地重要性指数 （0.283） > 栖息地环境风险指数（0.181） > 鸟类群落健康指数（0.094）;9个鸟类生态健康指标的权重和赋值分别为鸟类多样性（0.094,4）、栖息地重要性（0.283,3）、土地退化（0.147,3）、噪声（0.074,1）、光污染（0.074,4）、建筑物影响（0.148,2）、重金属污染（0.089,5）、有机污染暴露（0.056,2）和生物入侵（0.035,4）;深圳湾福田红树林湿地鸟类生态健康综合指数为3,处于“亚健康”状态,即当前栖息地适宜性下降,存在一定的环境风险.结合深圳湾的生态现状,建议建立鸟类动态监测网络,促进科学高效的鸟类保护决策的形成,加强城市噪音管制,降低人为活动的直接影响,提升红树林湿地鸟类生境适宜性;同时,加强环境监测力度,严控污染物排放,降低环境风险,整体提升红树林湿地鸟类生态健康水平.     

Using Wikipedia to measure public interest in biodiversity and conservation

The recent growth of online big data offers opportunities for rapid and inexpensive measurement of public interest. Conservation culturomics is an emerging research area that uses online data to study human–nature relationships for conservation. Methods for conservation culturomics, though promising, are still being developed and refined. We considered the potential of Wikipedia, the online encyclopedia, as a resource for conservation culturomics and outlined methods for using Wikipedia data in conservation. Wikipedia's large size, widespread use, underlying data structure, and open access to both its content and usage analytics make it well suited to conservation culturomics research. Limitations of Wikipedia data include the lack of location information associated with some metadata and limited information on the motivations of many users. Seven methodological steps to consider when using Wikipedia data in conservation include metadata selection, temporality, taxonomy, language representation, Wikipedia geography, physical and biological geography, and comparative metrics. Each of these methodological decisions can affect measures of online interest. As a case study, we explored these themes by analyzing 757 million Wikipedia page views associated with the Wikipedia pages for 10,099 species of birds across 251 Wikipedia language editions. We found that Wikipedia data have the potential to generate insight for conservation and are particularly useful for quantifying patterns of public interest at large scales.     

广州南沙红树林湿地鸟类群落多样性(2005～2010)

为探讨城市化对鸟类群落的影响,2005～2010年对广州南沙红树林湿地鸟类群落多样性进行了研究.结果表明:共记录鸟类149种,隶属于16目42科97属;其中冬候鸟或旅鸟77种,占51.7%,留鸟63种,占42.3%,夏候鸟9种,占6.0%;鸟类群落呈现出较强的季节性,从总体上看,物种数和总数量呈现秋冬季高峰,夏季最低.红树林湿地区具有最高的鸟类物种多样性与科属多样性,物种多样性和科属多样性变化趋势表现为红树林湿地区>河涌林带区>水域区.南沙红树林湿地的保护对丰富鸟类群落多样性具有重要作用.     

我国鸟类特有种地理分布与气候要素关系的初步分析

分析了我国鸟类特有种与气候要素的关系. 结果表明:我国鸟类特有种中,分布区狭窄的有63种,分布区广泛的有8种,其中呈不连续分布的有38种,连续分布的有33种,留鸟有67种,候鸟有4种;大部分地区鸟类特有种丰富度较低,但在青海东南部、四川中部和西北部、甘肃南部等地区的丰富度较高;在93°E~121°E或26°N~39°N范围内鸟类特有种丰富度较高. 我国鸟类特有种分布受气候因素限制,年均气温过高或过低、年降水量过高或过低、过于干燥、辐照日数过长或过短等都将使鸟类特有种减少. 鸟类特有种的适宜气候可分为低温干燥、较高温湿度、高温高湿和中等温湿度等类型,但以低温干燥和中等温湿度型为主. 鸟类特有种丰富度与各气候要素相关系数较低,气候要素下丰富度变化呈抛物线型趋势,其中在年均气温为1~18 ℃,年降水量为500~1 300 mm的范围内丰富度较高.      

基于模糊数学的民航航路鸟击概率计算模型研究

随着全球生态环境的不断改善,以及噪音更小进气口更大的喷气式客机的投入运营,航路鸟击日益成为威胁民航安全的重要因素之一。以美国25888条航路鸟击事件为例,通过对其进行分析和统计,确定出航路鸟击的影响因素,并构建了基于模糊综合评价法和层次分析法的航路鸟击概率计算模型;该模型能够用来预测某一航班在指定时间段,指定高度受到某种鸟类撞击的概率值,飞行计划制定人员可以根据该值是否可接受来调整飞行路线,机组也可以提前做好防范预案,从而降低航路鸟击造成的经济损失,确保人员安全,保障飞机在航路上的安全运行。     

广东新会银湖湾湿地鸟类群落组成及多样性

2006年8月至2007年7月,采用系统抽样技术和样带法,对广东省江门市新会区银湖湾湿地鸟类群落进行研究,共记录70种,隶属13目28科48属。新会银湖湾湿地带鸟类平均密度356只/hm2,鸟类物种多样性指数3.690 2、均匀度指数0.875 6、优势度指数0.25。芦苇红树林潮间湿地、鱼塘莲藕湿地和农田果园是新会银湖湾湿地典型的生境,各生境的鸟类种类、密度和多样性差异较大。其中芦苇红树林潮间湿地55种,平均密度338只/hm2;鱼塘莲藕湿地有40种,平均密度279只/hm2;农田果园有38种,平均密度247只/hm2。3种生境中芦苇红树林潮间湿地鸟类的生物多样性最高,农田果园最低。     

Connectivity between countries established by landbirds and raptors migrating along the African–Eurasian flyway

The conservation of long-distance migratory birds requires coordination between the multiple countries connected by the movements of these species. The recent expansion of tracking studies is shedding new light on these movements, but much of this information is fragmented and inaccessible to conservation practitioners and policy makers. We synthesized current knowledge on the connectivity established between countries by landbirds and raptors migrating along the African–Eurasian flyway. We reviewed tracking studies to compile migration records for 1229 individual birds, from which we derived 544 migratory links, each link corresponding to a species’ connection between a breeding country in Europe and a nonbreeding country in sub-Saharan Africa. We used these migratory links to analyze trends in knowledge over time and spatial patterns of connectivity per country (across species), per species (across countries), and at the flyway scale (across all countries and all species). The number of tracking studies available increased steadily since 2010 (particularly for landbirds), but the coverage of existing tracking data was highly incomplete. An average of 7.5% of migratory landbird species and 14.6% of raptor species were tracked per country. More data existed from central and western European countries, and it was biased toward larger bodied species. We provide species- and country-level syntheses of the migratory links we identified from the reviewed studies, involving 123 populations of 43 species, migrating between 28 European and 43 African countries. Several countries (e.g., Spain, Poland, Ethiopia, Democratic Republic of Congo) are strategic priorities for future tracking studies to complement existing data, particularly on landbirds. Despite the limitations in existing tracking data, our data and results can inform discussions under 2 key policy instruments at the flyway scale: the African–Eurasian Migratory Landbirds Action Plan and the Memorandum of Understanding on the Conservation of Migratory Birds of Prey in Africa and Eurasia.