Local scale processes drive long‐term change in biodiversity of sandy beach ecosystems

Evaluating impacts to biodiversity requires ecologically informed comparisons over sufficient time spans. The vulnerability of coastal ecosystems to anthropogenic and climate change‐related impacts makes them potentially valuable indicators of biodiversity change. To evaluate multidecadal change in biodiversity, we compared results from intertidal surveys of 13 sandy beaches conducted in the 1970s and 2009–11 along 500 km of coast (California, USA). Using a novel extrapolation approach to adjust species richness for sampling effort allowed us to address data gaps and has promise for application to other data‐limited biodiversity comparisons. Long‐term changes in species richness varied in direction and magnitude among beaches and with human impacts but showed no regional patterns. Observed long‐term changes in richness differed markedly among functional groups of intertidal invertebrates. At the majority (77%) of beaches, changes in richness were most evident for wrack‐associated invertebrates suggesting they have disproportionate vulnerability to impacts. Reduced diversity of this group was consistent with long‐term habitat loss from erosion and sea level rise at one beach. Wrack‐associated species richness declined over time at impacted beaches (beach fill and grooming), despite observed increases in overall intertidal richness. In contrast richness of these taxa increased at more than half (53%) of the beaches including two beaches recovering from decades of off‐road vehicle impacts. Over more than three decades, our results suggest that local scale processes exerted a stronger influence on intertidal biodiversity on beaches than regional processes and highlight the role of human impacts for local spatial scales. Our results illustrate how comparisons of overall biodiversity may mask ecologically important changes and stress the value of evaluating biodiversity change in the context of functional groups. The long‐term loss of wrack‐associated species, a key component of sandy beach ecosystems, documented here represents a significant threat to the biodiversity and function of coastal ecosystems.     

The second Southern African Bird Atlas Project: Causes and consequences of geographical sampling bias

Using the Southern African Bird Atlas Project (SABAP2) as a case study, we examine the possible determinants of spatial bias in volunteer sampling effort and how well such biased data represent environmental gradients across the area covered by the atlas. For each province in South Africa, we used generalized linear mixed models to determine the combination of variables that explain spatial variation in sampling effort (number of visits per 5′ × 5′ grid cell, or “pentad”). The explanatory variables were distance to major road and exceptional birding locations or “sampling hubs,” percentage cover of protected, urban, and cultivated area, and the climate variables mean annual precipitation, winter temperatures, and summer temperatures. Further, we used the climate variables and plant biomes to define subsets of pentads representing environmental zones across South Africa, Lesotho, and Swaziland. For each environmental zone, we quantified sampling intensity, and we assessed sampling completeness with species accumulation curves fitted to the asymptotic Lomolino model. Sampling effort was highest close to sampling hubs, major roads, urban areas, and protected areas. Cultivated area and the climate variables were less important. Further, environmental zones were not evenly represented by current data and the zones varied in the amount of sampling required representing the species that are present. SABAP2 volunteers' preferences in birding locations cause spatial bias in the dataset that should be taken into account when analyzing these data. Large parts of South Africa remain underrepresented, which may restrict the kind of ecological questions that may be addressed. However, sampling bias may be improved by directing volunteers toward undersampled regions while taking into account volunteer preferences.     

青岛崂山湾人工鱼礁区底层游泳动物群落结构特征

基于2015年5月至2016年1月在青岛崂山湾人工鱼礁区的调查数据, 采用Margalef种类丰富度指数(d)、Shannon-Wiener多样性指数(H')、Pielou均匀度指数(J)、丰度/生物量曲线、等级聚类分析、SIMPER相似性百分比分析和非度量多维尺度排序(NMDS)分析, 对底层游泳动物群落结构和多样性进行研究。调查期间共捕获游泳动物61种, 隶属34科, 其中鱼类36种, 甲壳类22种, 头足类3种。优势种为日本蟳(Charybdis japonica)、许氏平鲉(Sebastes schlegelii)、大泷六线鱼(Hexagrammus otakii)、斑头鱼(H. agrammus)和星康吉鳗(Conger myriaster), 其中日本蟳(26.91%)和许氏平鲉(26.74%)的生物量占绝对优势。礁区游泳动物的渔获量和渔获种类数均多于对照区, 月平均单位捕捞努力量渔获量(CPUE)最高值出现在5月, 达到735.74 ± 316.59 g·net^-1·d^-1。游泳动物群落组成的特征值上, 7、8月的多样性指数较高, 但鱼礁区和对照区无显著差异(P>0.05)。丰度/生物量曲线表明, 5、6月游泳动物群落处于严重受干扰状态, 11月和次年1月群落处于相对稳定状态。聚类分析表明, 除1月外, 各月份不同区域的样方相似性都较高, 5、6月三亩前礁区的相似性最高, 达到86.21%。     

陕北黄土丘陵沟壑区坡沟立地环境下幼苗的存活特征

幼苗是植被恢复演替的基础, 在生态系统中具有非常重要的作用。为了探索黄土丘陵沟壑区坡沟立地环境下幼苗的存活特征, 在陕西省安塞县宋家沟和纸坊沟流域设置15个固定样地进行定点动态监测, 运用单因素方差分析法和系统聚类分析法对不同立地环境下的幼苗密度和幼苗存活率进行了分析。结果表明: 1)不同坡沟立地环境下, 幼苗存活特征差异明显, 整体表现为阳坡幼苗密度较小而存活率较高, 阴坡幼苗密度较大但存活率较低。2)细裂叶莲蒿(Artemisia gmelinii)、菊叶委陵菜(Potentilla tanacetifolia)、阿尔泰狗娃花(Heteropappus altaicus)等物种具有较高的幼苗存活率, 在生存竞争中幼苗是以“质”取胜; 而猪毛蒿(Artemisia scoparia)、中华苦荬菜(Ixeris chinensis)、阴行草(Siphonostegia chinensis)等物种具有较高的幼苗密度, 在生存竞争中是以“量”取胜。3)同一物种在坡沟立地环境下表现出不同的存活曲线, 不同物种在不同立地环境下也可呈现同一存活曲线; 细裂叶莲蒿、菊叶委陵菜、长芒草(Stipa bungeana)、阿尔泰狗娃花、兴安胡枝子(Lespedeza davurica)等物种, 幼苗不仅在雨季存活能力强且具有较强的越冬能力; 猪毛蒿、香青兰(Dracocephalum moldavica)、臭蒿(Artemisia hedinii)等物种在雨季前幼苗存活能力较强, 但冬季存活能力弱。4)坡面不同微环境下幼苗存活特征也存在差异, 即微环境的改变在一定程度上影响着幼苗的生长、存活和越冬。因此, 在黄土丘陵沟壑区应根据物种幼苗存活特性对幼苗进行适当的抚育管理, 这将有利于幼苗的建植和植被更新。     

Long‐term seed bank dynamics in a temperate forest under conversion from coppice‐with‐standards to high forest management

Questions: How do changes in forest management, i.e. in disturbance type and frequency, influence species diversity, abundance and composition of the seed bank? How does the relationship between seed bank and vegetation change? What are the implications for seed bank dynamics? Location: An ancient Quercus petraea — Carpinus betulus forest in conversion from coppice‐with‐standards to regular Quercus high forest near Montargis, France. Methods: Seed bank and vegetation were sampled in six replicated stand types, forming a chronosequence along the conversion pathway. The stand types represented mid‐successional stages of stands in transition from coppice‐with‐standards (to high forest (16 plots) and early‐ and mid‐successional high forest stands (32 plots). Results: Seed bank density and species richness decreased with time since last disturbance. Adjusting for seed density effects obscured species richness differences between stand types, but species of later seres were nested subsets of earlier seres, implying concomitant shifts in species richness and composition with time since disturbance. Later seres were characterized by species with low seed weight and high seed longevity. Seed banks of early seres were more similar to vegetation than to later seres. Conclusions: Abandonment of the coppice‐with‐standards regime altered the seed bank characteristics, as well as its relationship with vegetation. Longer management cycles under high forest yield impoverished seed banks. For their persistence, seed bank species will increasingly rely on management of permanently open areas in the forest landscape. Thus, revegetation at the beginning of new high‐forest cycles may increasingly depend on inflow from seed sources.     

A comparison of the Schumacher with other functions for describing growth in pigs

This study was undertaken to introduce the Schumacher equation and compare it with established functions for describing growth in pigs. The relationship between live weight (LW) and cumulative feed intake was also investigated. A database was constructed from three independent trials in which LW, age and intake were measured from birth to 937 days. Three growth functions were used for analysis of growth versus age: Gompertz, Schumacher and Weibull; and the Richards and monomolecular equations were used for analysis of cumulative feed intake versus LW. The growth functions have different points of inflexion. Liveweight at inflexion is W_f/e for the Gompertz, where W_f is the final weight, W_f/e² for the Schumacher, and W_f − (W_f − W₀) exp[−(n − 1)/n] for the Weibull, where W₀ is initial body weight and n is a shape parameter. Meta-analysis of the data using mixed model and nonlinear regression procedures was conducted to identify the most appropriate growth function. Functions were compared using F-tests or Bayesian Information Criteria, which give a value based on best fit and number of parameters in the model. The three equations were fitted to five individual pig growth profiles and to the composite data. Although the Weibull had a lower residual mean square, it did not significantly improve the fit compared to the simpler models and appears to be over-parameterised. The results suggest that model selection should be based on the type and amount of data available for analysis. Residuals plot showed that Schumacher and Weibull better predict the initial growth phase, however, all models showed largest magnitude of residuals towards the end of the growth profile. The monomolecular equation was most appropriate for describing LW against cumulative feed intake and may be used to formulate diets based on the efficiency of conversion of feed to LW at various stages of the animal's life span.     

Applying polynomial standard curve method to correct bias encountered in estimating allele frequencies using DNA pooling strategy

DNA pooling approach is a cost-saving strategy which is crucial for multiple-SNP association study and particularly for laboratories with limited budget. However, the biased allele frequency estimates cannot be completely abolished by κ correction. Using the SNaPshot™, we systematically examined the relations between actual minor allele frequencies (AMiAFs) levels and estimates obtained from the pooling process for all six types of SNPs. We applied principle of polynomial standard curves method (PSCM) to produce allele frequency estimates in pooled DNA samples and compared it with the κ method. The results showed that estimates derived from the PSCM were in general closer to AMiAFs than those from the κ method, particularly for C/G and G/T polymorphisms at the range of AMiAF between 20–40%. We demonstrated that applying PSCM in the SNaPshot™ platform is suitable for multiple-SNP association study using pooling strategy, due to its cost effectiveness and estimation accuracy.     

“Ordinary biodiversity” in western Burkina Faso (West Africa): what vegetation do the state forests conserve?

The role of state forests in the conservation of the savannah environment of western Burkina Faso (West Africa) was assessed by considering the customary and fundamental biological components of plant diversity. The focus is on the “ordinary biodiversity” which constitutes the current environment of human populations and which generates their resources. Overall floristic composition, α, β, γ diversities and species accumulation curves of landscape units were compared inside and outside protected areas. Common species were identified according to their frequencies in landscape units and their local abundance. The occurrences of functional (life form, dispersion, etc.) and human-valued (current uses, potential threats, etc.) traits were compared. Current land uses outside protected areas have an unequal effect on the various components of plant diversity. Species richnesses and specific structures were all the more altered for woody species as agricultural pressure is high; conversely, they were maintained for herbaceous communities for which the proportion of wide-ranging species increased. The preservation of useful plant species on cultivated lands was obvious for woody species with edible fruits but less tangible for timber and service wood. It was deficient for species that furnish other non-wood products (e.g. leaves used as food or fodder), the conservation of which may be jeopardized where anthropic pressure is high. Given current land uses and dynamics, maintaining conservation areas in land use planning is crucial in order to preserve ordinary biodiversity. Electronic supplementary material  The online version of this article (doi:) contains supplementary material, which is available to authorized users.     

福建东山岛海岸带潺槁树种群生命表分析

为揭示海岸带天然植被中潺槁树种群生命过程,对东山岛海岸带风积沙地潺槁树林进行调查和数据统计,通过编制种群生命表,绘制存活曲线、死亡率曲线、亏损度曲线、死亡密度函数曲线、积累死亡函数曲线和危险率函数曲线,分析了其种群的年龄结构。结果表明,该种群的年龄结构呈反J分布型、属于增长型种群。其存活曲线介于Deevey-Ⅱ型和Deevey-Ⅲ型之间,呈现2个死亡高峰。4个生存函数值(生存率、积累死亡率、死亡密度、危险率)均说明该种群具有前期增长、后期稳定的特点。潺槁树是南亚热带季风常绿阔叶林优势种之一,对土壤、光的适应性强且生长迅速的一种优良前顶极种。研究结果对海岸带天然植被的恢复和重建提供了早期研究基础。     

濒危植物香果树（Emmenopterys henryi）种群结构与动态

香果树（Emmenopterys henryi）为我国特有种,属国家Ⅱ级重点保护植物。主要分布于江西、安徽等地亚热带中山或低山区的森林中。文中对武夷山自然保护区4个群落类型的香果树种群数量动态进行了系统研究,统计其径级结构、建立生命表,应用谱分析方法分析种群数量的动态变化,并对影响该种群结构的环境因子进行了分析。结果表明：（1）武夷山自然保护区香果树种群基本属于衰退型,幼苗少,中树、大树个体丰富。不同生境的种群密度存在差异,其中香果树纯林密度较大（8.45±0.818株·100 m^-2）,幼苗数量较多,更新较好（幼苗密度1.05±0.326株·100 m^-2）,针阔混交林中香果树密度较小（6.58±0.76株·100 m^-2）,无幼苗;（2）香果树种群中树死亡率较高,其他各级死亡率较低;（3）香果树种群自然更新过程存在明显的周期。（4）对影响香果树种群结构的13个环境因子通过主成分分析（PCA）发现,较高的光强、土壤含水量、弱酸性土壤、土壤有机质、大气湿度、大气温度和适量的人为干扰对种群增长发挥有利影响,而高海拔、阴坡、陡坡度和大的乔灌层盖度对香果树种群增长则发挥不利影响。（5）充分利用香果树幼树喜荫、大树喜光的特点,加强现有林分的就地保护,特别是具有结实能力的母树,并就地采种育苗,扩大人工种群数量。