Long-term monitoring data meet freshwater species distribution models: Lessons from an LTER-site

Long-term monitoring datasets provide a solid framework for ecological research. Such a dataset from the German long-term ecological research (LTER) site Rhine-Main-Observatory was used to set up a species distribution model (SDM) for the Kinzig catchment. The extensive knowledge on the monitoring data provided by the LTER-site framework allowed to calibrate a robust model for 175 taxa of stream macroinvertebrates and to project their distributions on the Kinzig River stream network using bioclimatic, topographical, hydrological, land use and geological predictors. On average, model performance was good, with a TSS of 0.83 (±0.09 SD) and a ROC of 0.95 (±0.03 SD). The model delivered valuable insights on three sources of bias that plague SDMs in general: (a) level of taxonomic identification of the modeled organisms, (b) the spatial arrangement of sampling sites, and (c) the sampling intensity at each sampling site. Taxonomic resolution did not affect SDM performance. The distribution of high predicted probabilities of occurrence in the stream network coincided with those segments in the stream network most densely and frequently sampled, indicating both a spatial and temporal sampling bias. Species richness curves confirmed the temporal sampling bias. Next to spatial bias, sampling frequency also plays an important role in data collection, affecting further analysis and modeling procedures. Results indicate an underrepresentation of low order streams, an important aspect that should be addressed by both monitoring schemes and modeling approaches.     

A test of traditional diversity measures and taxonomic distinctness indices on benthic diatoms of soda pans in the Carpathian basin

Saline lakes are threatened all over the world and their conservation has been a key issue. Various diversity indices are available for ecological status assessments, however, with poorly explored relevance and applicability in saline, alkaline pans. Therefore, traditional diversity measures (species richness and Shannon diversity) and taxonomic distinctness indices (Average [AvTD] and Variance of Taxonomic Distinctness [VarTD]) were tested in more than 100 sampling sites of 39 soda pans in Central-Europe to find sufficient indicators of the ecological condition and simultaneously to facilitate their preservation according to the modern conservation practices. Results of the analyses showed that healthy soda pan ecosystems with high level of natural stress and reduced habitat heterogeneity are characterized by low diversity diatom assemblages. In soda pans where the stress can be extremely high from natural reasons, oligopoly of closely related species can develop: the average taxonomic distinctness appeared between genus and family level. The non-DNA-sequence based phylogenetic diversity measures (AvTD and VarTD), were generally sensitive to the trophic state of the lakes, in contrast to traditional diversity metrics, which were unequivocally indicative for the special physical and chemical parameters (e.g. conductivity, pH) of the soda pans. In some cases, when the response of the diversity measures for a given environmental variable (pH, temperature) overlapped, the AvTD was found to be a more precise indicator of the environmental changes (pH) than traditional ones. The decreasing tendency of the AvTD along the intensified natural impact may be explained by the long available time for the species to adapt to these special environments.     

国产耳草属长节耳草及其相似种的分类研究

我国耳草属中具有茎四棱和头状花序特征的植物常常被鉴定为长节耳草(Hedyotis uncinella),并且这一名称还包括了基于不同模式的3个分类学异名。由于这一类植物在叶片形态、叶柄长短、花序着生式样以及花梗长度等形态特征方面存在着明显的不同,因此将这一类植物笼统地鉴定为长节耳草并不合理。为清晰区分这类植物,通过模式比对、居群形态特征变异式样的野外观察以及分子系统学分析等方法进行研究,结果表明,以前被鉴定为“长节耳草”的植物实际上包括了6个分类实体,即被归并的丰花耳草(H. borrerioides)、垦丁耳草(H. kuraruensis)和新组合种——团花耳草(H. cephalophora)均应独立成种,而长节耳草本种、被忽略的线叶耳草(H. linearifolia)和我国新记录种——球花耳草(H. multiglomerulata)各自也应得到承认。同时,为了便于进行分类鉴定,也提供了这些种类的分种检索表。     

Basal euteleostean relationships: a mitogenomic perspective on the phylogenetic reality of the "Protacanthopterygii"

Higher-level relationships of the basal Euteleostei (=Protacanthopterygii) are so complex and controversial that at least nine different morphology-based phylogenetic hypotheses have been proposed during the last 30 years. Relationships of the Protacanthopterygii were investigated using mitochondrial genomic (mitogenomic) data from 34 purposefully chosen species (data for 12 species being newly determined during the study) that fully represented major basal euteleostean lineages and some basal teleosts plus neoteleosts as outgroups. Unweighted and weighted maximum parsimony (MP) and maximum likelihood (ML) analyses were conducted with the data set that comprised concatenated nucleotide sequences from 12 protein-coding genes (excluding the ND6 gene and 3rd codon positions) and 22 transfer RNA (tRNA) genes (stem regions only) from the 34 species. The resultant trees were well resolved and largely congruent, with most internal branches being supported by high statistical values. Monophyly of the protacanthopterygians was confidently rejected by the mitogenomic data. Of the five major monophyletic groups that received high statistical support within the protacanthopterygians, a clade comprising members of the alepocephaloids was unexpectedly nested within the Otocephala, sister-group of the euteleosts. The remaining four major monophyletic groups, on the other hand, occupied phylogenetic positions intermediate between the otocephalans and neoteleosts, with a clade comprising esociforms + salmoniforms being more basal to the argentinoids and osmeroids. Although interrelationships of the latter two clades (argentinoids and osmeroids) with the neoteleosts remained ambiguous, the present results indicated explicitly that the protacanthopterygians as currently defined merely represent a collective, polyphyletic group of the basal euteleosts, located between the basal teleosts (elopomorphs and below) and neoteleosts (stomiiforms and above).     

大花黄牡丹分类学地位的研究

通过野外调查、引种试验,对大花黄牡丹与黄牡丹的形态特征、生长和繁殖特性进行了综合比较研究,结果表明,二者之间在植株高度、心皮数目、花色、花瓣基部有无棕红斑及繁殖特性等存在明显差异;同时,染色体组型、带型及蛋白亚基构成分析也表明二者之间有明显差异,因此我们认为,大花黄牡丹应上升为种的等级：Ｐａｅｏｎｉａ ｌｕｄｌｏｗｉｉ（Ｓｔｅｒｎ ｅｔ Ｔａｙｌｏｒ）Ｊ．Ｊ．Ｌｉ ｅｔ Ｄ．Ｚ．Ｃｈｅｎ,ｓｔａｔ     

Paleoenvironment of Ankilitelo Cave (late Holocene, southwestern Madagascar): implications for the extinction of giant lemurs

Following human arrival, Madagascar suffered well-documented megafaunal extinctions and widespread deforestation. Although humans are widely considered to be the primary cause of the extinctions, the relative contributions of climate change and human activities to this ecological transformation remain uncertain. Reconstructing the habitats of the giant lemurs of Madagascar can provide key information for understanding the evolutionary mechanisms involved in their extinction. In this study, I present a faunal analysis of the subfossil assemblage from Ankilitelo Cave, southwestern Madagascar. This assemblage documents the latest known occurrence of five species of extinct giant lemur, in association with abundant well-preserved small mammal remains. I compared the small mammal fauna at Ankilitelo with 27 extant Malagasy mammal communities spanning the range of Madagascar's habitat types. Similarities in species composition between modern communities and Ankilitelo were assessed using cluster analysis. Ecological similarities were examined by assigning each species to dietary, locomotor, activity pattern, and body size categories. Multiple discriminant analysis was then used to classify Ankilitelo relative to modern habitat types in Madagascar, based on the ecological structure of the subfossil fauna. Results indicate that the habitat surrounding Ankilitelo during the late Holocene was similar to the succulent woodlands of modern southwestern Madagascar. This suggests that approximately 500 yr BP, these semi-arid habitats supported a subfossil lemur community that included the highly-suspensory Palaeopropithecus, and deliberate slow-climber Megaladapis, as well as Archaeolemur, Pachylemur, and Daubentonia robusta. In such environments, these giant lemurs would likely have been highly vulnerable to increasing human pressure in southwestern Madagascar.     

绢蒿属8种植物果实微形态特征及其分类学意义

为寻找绢蒿属系统学的新证据,应用解剖镜和扫描电镜对我国8种绢蒿属植物的果实微形态特征进行了比较观察。结果表明,绢蒿属8种植物果实形状相似性较高,呈倒卵形或长倒卵形,直或稍弯曲;果脐圆形,常偏向一侧;顶端中央均可见花柱残留物,边缘具衣领状环;果实表面纹饰为搓板状和不规则皱褶纹饰。这些果实微形态特征中,果实的表面纹饰具有一定的差异,特别是次级结构,可作为绢蒿属植物区分种的参考性状之一。     

Measuring beta‐diversity from taxonomic similarity

Question: The utility of beta (β‐) diversity measures that incorporate information about the degree of taxonomic (dis)similarity between species plots is becoming increasingly recognized. In this framework, the question for this study is: can we define an ecologically meaningful index of β‐diversity that, besides indicating simple species turnover, is able to account for taxonomic similarity amongst species in plots? Methods: First, the properties of existing measures of taxonomic similarity measures are briefly reviewed. Next, a new measure of plot‐to‐plot taxonomic similarity is presented that is based on the maximal common subgraph of two taxonomic trees. The proposed measure is computed from species presences and absences and include information about the degree of higher‐level taxonomic similarity between species plots. The performance of the proposed measure with respect to existing coefficients of taxonomic similarity and the coefficient of Jaccard is discussed using a small data set of heath plant communities. Finally, a method to quantify β‐diversity from taxonomic dissimilarities is discussed. Results: The proposed measure of taxonomic β‐diversity incorporates not only species richness, but also information about the degree of higher‐order taxonomic structure between species plots. In this view, it comes closer to a modern notion of biological diversity than more traditional measures of β‐di‐versity. From regression analysis between the new coefficient and existing measures of taxonomic similarity it is shown that there is an evident nonlinearity between the coefficients. This nonlinearity demonstrates that the new coefficient measures similarity in a conceptually different way from previous indices. Also, in good agreement with the findings of previous authors, the regression between the new index and the Jaccard coefficient of similarity shows that more than 80% of the variance of the former is explained by the community structure at the species level, while only the residual variance is explained by differences in the higher‐order taxonomic structure of the species plots. This means that a genuine taxonomic approach to the quantification of plot‐to‐plot similarity is only needed if we are interested in the residual system's variation that is related to the higher‐order taxonomic structure of a pair of species plots.