昆明城市绿地结构对鸟类多样性的影响

岛屿化的绿地格局对城市鸟类的群落结构及空间分布会产生重要影响。通过样线法和样方法调查昆明城区19块绿地内的鸟类种类和数量、乔木种类和数量,结合遥感影像和现场调查,使用ArcGIS分析绿地生境结构,研究了城市绿地与鸟类的关系。结果表明,鸟类种类和数量与绿地面积呈正相关、与绿地距市中心距离无相关性;绿地内水域、硬化地、建筑地面积与鸟类种类和数量呈一定的负相关;乔木种数和食源乔木种数与鸟类种类呈显著正相关;城市绿地结构对鸟类的影响还与鸟类的生态习性相关。因此可以通过优化生境结构、改变绿地面积及乔木组成来提高城市鸟类多样性。     

上海崇明东滩堤内次生人工湿地鸟类冬春季生境选择的因子分析

2004年12月—2005年5月,对上海崇明东滩98海堤内200 hm²次生人工湿地进行鸟类调查,在冬季统计到鸟类8目15科56种,以游、涉禽为主;在春季统计到鸟类10目19科55种,以涉禽为主。运用多元回归对鸟类种类数、数量、物种多样性、均匀性指数和科属多样性等群落特征以及调查样点内水位、水面积、植被盖度、底栖动物密度、鱼类捕捞和人类干扰等环境因子进行鸟类生境选择分析。回归模型显示冬季鸟类种类数与植被盖度呈显著正相关,鸟类数量、物种多样性、科属多样性等群落特征与水位高低、水面积比例以及鱼类捕捞强度等有关,底栖动物密度影响鸟类均匀度和数量;春季鸟类数量与鱼塘的水面积呈正相关,而种类和数量与水位呈显著负相关,物种多样性和均匀性明显受水位、水面积和植被盖度影响,鸟类科属多样性与底栖动物密度呈显著相关,捕捞状况对春季鸟类群落影响不大。     

上海崇明东滩堤内次生人工湿地鸟类冬春季生境选择的因子分析

2004年12月—2005年5月,对上海崇明东滩98海堤内200hm2次生人工湿地进行鸟类调查,在冬季统计到鸟类8目15科56种,以游、涉禽为主;在春季统计到鸟类10目19科55种,以涉禽为主。运用多元回归对鸟类种类数、数量、物种多样性、均匀性指数和科属多样性等群落特征以及调查样点内水位、水面积、植被盖度、底栖动物密度、鱼类捕捞和人类干扰等环境因子进行鸟类生境选择分析。回归模型显示冬季鸟类种类数与植被盖度呈显著正相关,鸟类数量、物种多样性、科属多样性等群落特征与水位高低、水面积比例以及鱼类捕捞强度等有关,底栖动物密度影响鸟类均匀度和数量;春季鸟类数量与鱼塘的水面积呈正相关,而种类和数量与水位呈显著负相关,物种多样性和均匀性明显受水位、水面积和植被盖度影响,鸟类科属多样性与底栖动物密度呈显著相关,捕捞状况对春季鸟类群落影响不大。     

环境因子对上海城市园林春季鸟类群落结构特征的影响

2004年3—5月,对上海8个园林绿地的春季鸟类做了研究。在调查中共观察到55种鸟类,其中留鸟31种,候鸟24种。运用回归与相关统计分析方法分析了鸟类群落结构和分布特征与8个园林绿地的公园面积、水体比例、植被种数、乔木层盖度、灌木层盖度、草本层盖度、地形坡度异质性、临主干道状况、人流量、行道宽度10项环境指标的关系。结果表明：(1)公园面积、植被种数、灌木层盖度、草本层盖度、地形坡度异质性、临主干道状况、行道宽度等7个因子在影响园林鸟类群落结构和分布中起关键性作用;(2)上海城市鸟类数量、多样性呈单一化趋势,而且公园绿地内大面积水体等建设方案并不利于鸟类的栖息。     

广州新垦红树林湿地鸟类多样性与生境分析

2005-2006年的1月、4月、7月和10月,利用样带法对广州市新垦红树林湿地和周边农田进行鸟类物种多样性研究。利用Shannon-Wiener指数分析了生境类型的鸟类群落种数、数量、物种多样性、均匀性指数等特征。结果表明,新垦红树林湿地1月鸟类种数高于周边农田湿地2倍,鸟类群落个体数量高于农田湿地9倍;红树林湿地4月和7月鸟类种数高于周边农田湿地1．5倍,鸟类群落个体数量高于农田湿地4倍;红树林湿地10月鸟类种数高于周边农田湿地1．5倍,鸟类群落个体数量高于农田湿地6．8倍;新垦红树林湿地和周边农田湿地鸟类物种多样性表现出明显的季节性变化。     

阜阳市重要湿地夏季鸟类多样性研究

为了掌握阜阳市重要湿地的鸟类资源,2011年7月-2011年9月,采用样带法对阜阳市4个重点湿地的夏季鸟类资源进行了调查。调查共记录阜阳市重要湿地鸟类11目25科43种,雀形目鸟类种数最多,共19种,占全部种类数的44.1%。东洋界、古北界和两界广布种分别占繁殖鸟种数的39.5%、34.8%、25.6%;湿地水鸟21种,占全部鸟类的47.8%;湿地鸟类群落的优势种为家燕、烟腹毛脚燕和灰椋鸟。八里河省级湿地自然保护区鸟类种数最多(N=30),多样性指数最高(H=2.49);4个湿地之间鸟类相似性系数均较高。鸟类多样性指数、鸟类种都与湿地面积呈显著正相关(多样性r=0.985,P=0.015;鸟种r=0.974,P=0.026)。从鸟类多样性保护考虑,湿地保护区和湿地公园的建设和管理应向保持湿地面积、增加植被复杂性发展。     

邢台市及郊区鸟类区系组成及多样性

2003年3月~2005年7月对邢台市鸟类区系组成及多样性进行了调查,共记录到鸟类166种,隶属15目42科。本文重点探讨了不同生境、不同季节鸟类群落的种类、多样性、均匀度、相似性等群落特征。结果表明,鸟类种数由多至少依次为林地生境、公共绿地生境、河流水域生境、农田生境、建筑区生境。Shannon-Weiner多样性指数由大到小依次为林地生境、公共绿地生境、河流水域生境、农田生境、建筑区生境。比较这5种生境之间的相似性得出,公共绿地生境鸟类群落与建筑区生境鸟类群落、林地生境鸟类群落相似,相似性达到60%以上,而河流水域生境鸟类群落与其他生境鸟类群落有极明显的差异。     

宁夏沙坡头自然保护区四种生境夏季鸟类群落变化

1999年夏季采用样线法调查了宁夏沙坡头自然保护区 4种生境鸟的种数和数量 ,并与 1986年用相同取样方法得到的数据 (Liu&Chang ,1990 )进行比较 ,以了解 13年间鸟类群落的变化并探讨其原因。 1999年共记录到 6 7种鸟 ,比 1986年新增 36种 ,同时减少 10种。荒漠生境鸟类的数量减少到不足 1986年的 5 0 % ,但种数、群落多样性和优势度与 1986年接近 ;湿地生境鸟类的种数和数量都增加 1倍多 ,群落多样性和优势度略有增加 ;固沙林生境鸟类的种数从 8种增加到 34种 (增加了食虫、荒漠鸟类 ) ,但数量略减少 ,群落多样性增加 6 7% ,优势度减少 6 3% ;村庄农田生境鸟类种数与 1986年接近 ,数量、群落多样性和优势度都减少。湿地鸟类群落的状态变好 ,是鱼塘水域增加的结果 ;固沙林鸟类群落的状况看似好转 ,但潜伏着虫害所致的荒漠化危机 ;村庄农田生境鸟类群落状态变差 ,与农村传统土房大量消失有关。     

达赉湖水域变化对水鸟群落的影响

内蒙古达赉湖国家级自然保护区是东北亚鸟类迁徙的重要停歇地和繁殖地,被列入拉姆萨尔"国际重要湿地"。近10年来,达赉湖面积急剧减少,造成湿地环境变化,从而可能对水鸟群落结构产生影响。本文分析了达赉湖2004—2013年湖水面积变化对水鸟群落结构的影响,主要研究结果如下:湖水面积与水鸟多样性及均匀度指数呈显著负相关,与雁形目全年平均多样性指数呈不显著负相关,与鸻形目全年平均多样性指数呈显著负相关,与鹳形目全年平均多样性指数呈不显著正相关。对湖水面积与重点保护物种数量的相关性分析表明,2004年到2011年湖水面积下降期间,灰鹤Grus grus、蓑羽鹤Anthropoides virgo、大天鹅Cygnus cygnus、小天鹅C.columbianus及遗鸥Larus relictus的种群数量均有所增加,而丹顶鹤G.japonensis、白枕鹤G.vipio及疣鼻天鹅C.olor的种群数量则在下降。随着内蒙古东北部暖干化气候的持续,湖水面积的继续缩减可能引起大面积沙化,进而影响水鸟的停留和繁殖,因此有必要对该地区水鸟群落与湖泊动态的关系进行长期监测。     

长白山次生林繁殖鸟的群落结构

研究了长白山次生林繁殖鸟的群落结构及其与森林植被的关系。在３块林龄相同而样地面积不等的次生林中,繁殖鸟种类有随样地面积增加的趋势,繁殖鸟数量随面积的增加而增加更为明显。相似性指数测定表明,３样地鸟类群落组成基本相似,多样性指数也无显著差异。鸟类物种多样性与植被剖面层次多样性相关。边缘种随林缘长度的增加,种－数系数不断增加。由林缘至林内５０ｍ宽的地带为鸟类高密度带。由边缘至林内３００ｍ后,鸟类密度有     

戴云山物种多样性与系统发育多样性海拔梯度分布格局及驱动因子

生物多样性的海拔分布格局是生态学研究的热点。海拔作为综合性因子驱动着植物群落的物种、系统发育与功能多样性的空间分布。以戴云山南坡900-1600 m森林植物群落为研究对象,探讨物种多样性、系统发育指数与环境驱动因子的相互关系以及环境因子在群落构建与多样性维持中的重要意义。结果表明：（1）森林植物群落的系统发育多样性与物种多样性沿海拔均呈现中间高度膨胀格局。（2）物种多样性Margalef指数、Shannon-Wiener指数与系统发育多样性指数呈显著正相关,表明物种多样性越高,系统发育多样性也越高。Shannon-Wiener指数与物种多样性指数（Margalef、Pielou、Simpson指数）、系统发育多样性及系统发育结构都存在显著相关性,一定程度上Shannon-Wiener指数可以代替其他指数。Pielou指数、Simpson指数、Shannon-Wiener指数与系统发育结构NRI （Net relatedness index）指数、NTI （Net nearest taxa index）指数存在显著正相关,表明群落优势度、均匀度与系统发育结构相关性较强。（3）土壤全磷含量是影响系统发育多样性和物种多样性的主要驱动因子,土壤含水量是影响Shannon-Wiener、Pielou、Simpson指数的最显著因子,海拔是影响群落系统发育结构的主要因素。海拔是影响系统发育结构变化的主要环境因子,而土壤因子是影响物种多样性与系统发育多样性的主要因素,进一步验证了物种多样性与系统发育多样性的高度相关,结果旨在揭示物种群落空间分布规律。     

合肥市小微湿地鸟类多样性的时空格局及其影响因素

小微湿地是城市生态系统的重要组成部分, 也是生物多样性的重要庇护场所。鸟类作为城市小微湿地生态系统的指示类群, 其多样性时空格局受多种环境因子影响。本研究于2020年8月至2021年7月采用样点法对合肥市45个小微湿地鸟类的种类、数量分布和生境因子进行了调查, 并获取湿地面积、湿地形状、建筑面积比例、植被面积比例、环境噪声、人为干扰和城市化指数等生境变量。通过α多样性和β多样性分析, 研究城市小微湿地鸟类多样性的时空特征及其决定因素。采用信息论模型选择和模型平均法以及基于距离矩阵的多重回归模型进行计算, 确定影响鸟类群落α多样性和β多样性及其组分的主要环境因子。结果显示, 研究区域共有鸟类13目39科102种, 其中水鸟31种, 国家二级重点保护鸟类2种, 安徽省重点保护鸟类17种, IUCN濒危物种红色名录中的易危(VU)物种1种。湿地面积和城市化指数对小微湿地陆地鸟类和水鸟的α多样性、β多样性及其组分均具有显著影响, 其中陆地鸟类物种丰富度在中度和低度城市化之间的小微湿地中达到最高值, 面积超过4 ha的小微湿地能维持较多的水鸟物种。植被面积比例对陆地鸟类多样性具有重要的影响, 而建筑面积比例对水鸟多样性具有显著影响。此外, 总体β多样性及其组分计算结果显示物种周转组分占明显优势, 表明城市小微湿地群作为城市复合生态系统的重要组成部分, 加强整体保护更为必要。研究结果对于加强城市鸟类保护和提高城市生态环境质量具有指导意义。     

Responses of taxonomic distinctness and species diversity indices to anthropogenic impacts and natural environmental gradients in stream macroinvertebrates

1. Many studies have shown traditional species diversity indices to perform poorly in discriminating anthropogenic influences on biodiversity. By contrast, in marine systems, taxonomic distinctness indices that take into account the taxonomic relatedness of species have been shown to discriminate anthropogenic effects. However, few studies have examined the performance of taxonomic distinctness indices in freshwater systems. 2. We studied the performance of four species diversity indices and four taxonomic distinctness indices for detecting anthropogenic effects on stream macroinvertebrate assemblages. Further, we examined the effects of catchment type and area, as well as two variables (pH and total phosphorus) potentially describing anthropogenic perturbation on biodiversity. 3. We found no indications of degraded biodiversity at the putatively disturbed sites. However, species density, rarefied species richness, Shannon's diversity and taxonomic diversity showed higher index values in streams draining mineral as opposed to peatland catchments. 4. Of the major environmental gradients analysed, biodiversity indices showed the strongest relationships with catchment area, lending further support to the importance of stream size for macroinvertebrate biodiversity. Some of the indices also showed weak linear and quadratic relationships to pH and total phosphorus, and residuals from the biodiversity index‐catchment area regressions (i.e. area effect standardized) were more weakly related to pH and total phosphorus than the original index values. 5. There are a number of reasons why the biodiversity indices did not respond to anthropogenic perturbation. First, some natural environmental gradients may mask the effects of perturbation on biodiversity. Secondly, perturbations of riverine ecosystems in our study area may not be strong enough to cause drastic changes in biodiversity. Thirdly, multiple anthropogenic stressors may either increase or decrease biodiversity, and thus the coarse division of sites into reference and altered streams may be an oversimplification. 6. Although neither species diversity nor taxonomic distinctness indices revealed anthropogenic degradation of macroinvertebrate assemblages in this study, the traditional species diversity and taxonomic distinctness indices were very weakly correlated. Therefore, we urge that biodiversity assessment and conservation planning should utilize a number of different indices, as they may provide complementary information about biotic assemblages.     

上海城市绿地冬季鸟类群落特征与生境的关系

2005年11月至2006年2月对上海市区绿地鸟类进行了调查,共记录到鸟类34种,隶属5目16科。研究发现冬季鸟类群落结构相对稳定,优势种为麻雀(Passer montanus)和白头鹎(Pycnonotus sinensis)。冬季鸟类群落多样性受多种因素的影响,其中绿地面积、乔木盖度和栖息地类型多样性是影响鸟类多样性的关键因子。聚类结果表明,面积大、生境类型丰富及人为干扰相对较少的绿地,鸟类多样性高。因此提出如下建议:(1)增加城市中植物种类,特别是乡土物种,适当提高冬季常绿乔木以及乔、灌、草的比例;(2)在绿地中尽可能多地保留自然生境;(3)在城市绿地中适当开辟湿地生境,以吸引水鸟栖息。     

Window Area and Development Drive Spatial Variation in Bird-Window Collisions in an Urban Landscape

Collisions with windows are an important human-related threat to birds in urban landscapes. However, the proximate drivers of collisions are not well understood, and no study has examined spatial variation in mortality in an urban setting. We hypothesized that the number of fatalities at buildings varies with window area and habitat features that influence avian community structure. In 2010 we documented bird-window collisions (BWCs) and characterized avian community structure at 20 buildings in an urban landscape in northwestern Illinois, USA. For each building and season, we conducted 21 daily surveys for carcasses and nine point count surveys to estimate relative abundance, richness, and diversity. Our sampling design was informed by experimentally estimated carcass persistence times and detection probabilities. We used linear and generalized linear mixed models to evaluate how habitat features influenced community structure and how mortality was affected by window area and factors that correlated with community structure. The most-supported model was consistent for all community indices and included effects of season, development, and distance to vegetated lots. BWCs were related positively to window area and negatively to development. We documented mortalities for 16/72 (22%) species (34 total carcasses) recorded at buildings, and BWCs were greater for juveniles than adults. Based on the most-supported model of BWCs, the median number of annual predicted fatalities at study buildings was 3 (range = 0–52). These results suggest that patchily distributed environmental resources and levels of window area in buildings create spatial variation in BWCs within and among urban areas. Current mortality estimates place little emphasis on spatial variation, which precludes a fundamental understanding of the issue. To focus conservation efforts, we illustrate how knowledge of the structural and environmental factors that influence bird-window collisions can be used to predict fatalities in the broader landscape.     

三峡库区移民区和淹没区植物群落物种多样性的空间分布格局

为研究三峡库区移民安置区和淹没区植物群落物种多样性的空间分布格局, 在从坝区到重庆的长江南北两岸各设置了7条样带, 从海拔70 m到610 m每上升50 m设置一个样方, 共调查了129个样方。采用物种数和基于盖度的Shannon-Wiener指数作为物种多样性指标, 分析了不同海拔、样带、坡向与南北岸位置的植物群落物种多样性的空间分布特点; 采用DCCA 排序阐明物种多样性与环境因子的相互关系, 并进一步分析了造成上述空间分布格局的环境因子。结果表明: 南岸的物种多样性高于北岸; 物种多样性随海拔升高而增加, 但趋势不显著; 从坝区到重庆物种多样性变化没有明显的规律性, 在坝区和万州最高, 重庆和巫山最低。DCCA排序结果表明, 影响物种多样性变化的外在环境因子最主要的是南北岸位置, 其次为海拔; 而增加物种多样性的主导生境因子是群落乔木层的盖度, 灌木层的盖度则对物种多样性具有抑制作用, 说明群落自身的结构特点决定着物种多样性。总之, 研究区域由水热条件组合影响的物种多样性空间分布格局的规律性由于人为活动的异质性干扰发生了改变, 而干扰后群落自身的结构特点, 特别是群落冠层的盖度, 决定着群落自身的物种多样性。     

Testing indicators of sustainable forest management on understorey composition and diversity in southern Italy through variation partitioning

Tree species composition and stand structural complexity are valuable indicators of sustainable forest management. This article aims to investigate the relative influence of forest overstorey composition and structural attributes on understorey composition and diversity, taking into account also site characteristics and broad-scale environmental variables. We sampled vascular plant species composition and forest structure in 132 plots in the Cilento and Vallo di Diano National Park (southern Italy). Spearman’s non-parametric correlation coefficients were calculated between overstorey and understorey diversity indices, beech percentage, and altitude and environmental indices. A complete partitioning of the variation in understorey composition was then performed through canonical correspondence analysis considering four sets of variables: (1) overstorey composition, (2) structural attributes, (3) topography, and (4) landscape abiotic variables. Finally, we constructed a regression tree analysis of understorey species richness using the same explanatory variables. Understorey diversity indices were positively correlated with overstorey diversity indices and with environmental indices (i.e., light and soil heterogeneity). Overstorey and understorey diversity indices were negatively correlated with both altitude and the dominance of beech in the overstorey. Compositional variation was due primarily to overstorey composition and secondarily to structural attributes. Regression tree analysis revealed that altitude, overstorey species richness, and structural attributes play an important role in determining understorey species richness. According to our results, understorey composition and diversity are strongly related to overstorey composition and structural attributes. Indeed, the latter proved to be effective indicators of understorey characteristics in the study area.     

From plots to islands: species diversity at different scales

Aim To investigate how plant diversity of whole islands (‘gamma’) is related to alpha and beta diversity patterns among sampling plots within each island, thus exploring aspects of diversity patterns across scales. Location Nineteen islands of the Aegean Sea, Greece. Methods Plant species were recorded at both the whole‐island scale and in small 100 m² plots on each island. Mean plot species richness was considered as a measure of alpha diversity, and six indices of the ‘variation’‐type beta diversity were also applied. In addition, we partitioned beta diversity into a ‘nestedness’ and a ‘replacement’ component, using the total species richness recorded in all plots of each island as a measure of ‘gamma’ diversity. We also applied 10 species–area models to predict the total observed richness of each island from accumulated plot species richness. Results Mean alpha diversity was not significantly correlated with the overall island species richness or island area. The range of plot species richness for each island was significantly correlated with both overall species richness and area. Alpha diversity was not correlated with most indices of beta diversity. The majority of beta diversity indices were correlated with whole‐island species richness, and this was also true for the ‘replacement’ component of beta diversity. The rational function model provided the best prediction of observed island species richness, with Monod’s and the exponential models following closely. Inaccuracy of predictions was positively correlated with the number of plots and with most indices of beta diversity. Main conclusions Diversity at the broader scale (whole islands) is shaped mainly by variation among small local samples (beta diversity), while local alpha diversity is not a good predictor of species diversity at broader scales. In this system, all results support the crucial role of habitat diversity in determining the species–area relationship.