Mapping of earthworm distribution for the British Isles and Eire highlights the under-recording of an ecologically important group

Earthworms are important soil organisms yet we have limited knowledge on the geographical distribution of species. Using data from a variety of sources representing a total of 3,941 locality records we have produced the first distribution maps of earthworm species in the British Isles The maps highlight the paucity of knowledge on this ecologically important group. A systematic approach needs to be taken to bring earthworm species data to a level comparable with other important invertebrate groups such as nematodes and isopods. Through the recent establishment of an earthworm recording scheme, the Earthworm Society of Britain, working with the Biological Records Centre and earthworm researchers across the British Isles, aim to build comprehensive distribution information for future monitoring and research purposes.     

Measuring floristic homogenization by non-native plants in North America

Aim To determine if non‐native plant species are homogenizing species composition among widely dispersed plant communities. Location Twenty localities in North America. Methods Species lists among localities were compared to measure the influence of non‐native species richness at each locality on the Jaccard Index (JI) of similarity between localities. Results After removing the effects of distance, because shared native species decreased with distance, three (nonexclusive) lines of evidence indicate that non‐native species promote homogenization. First, pairs of sites with a high combined total of non‐native species tend to have higher similarity than those with a low total of non‐natives. Second, for a given distance, more non‐native than native species tended to be shared among localities. Third, whereas most of the site comparisons with high total non‐native richness have a non‐native/native JI ratio greater than 1 (often much greater), only half of the comparisons with low total non‐native richness have a ratio greater than one. Main conclusions These findings provide quantitative support for the widely held, but rarely tested, notion that non‐native species tend to homogenize biological communities because they are more commonly shared among communities. Such testing is important as non‐native species could theoretically have no impact or even reduce homogenization among communities, if non‐native colonizers consist of different species pools.     

Parasites as fish population tags and pseudoreplication problems: the case of striped red mullet Mullus surmuletus in the Spanish Mediterranean

Studies of parasites as fish population tags often apply a single round of sampling to identify potential stocks or predict harvest localities. However, the lack of replication generates pseudoreplication, implicitly assuming that infection levels are more similar between samples from the same locality than between samples from different localities. We evaluated this assumption in the case of the striped red mullet Mullus surmuletus in three localities of the Spanish Mediterranean separated by c. 300 km. Samples of 25 fish of similar size were collected in each locality in the summer and autumn of two consecutive years. Prevalence and abundance of three long-lived parasite taxa differed significantly among localities, indicating their potential as stock indicators. However, a cluster analysis (for prevalence) and a MANOVA (for abundance) indicated strong inter-sample variability, even within the same locality, with poor spatial segregation among samples. A linear discriminant analysis (LDA) based on the abundance of 17 parasite taxa correctly assigned over 80% of fish to their locality, and 95% bootstrap confidence intervals of percent classified fish per locality were narrow, indicating good and stable predictive power. However, when a LDA based on data from the first year was used to predict the locality of fish from the second year, predictive power dropped drastically (46% of correct allocation). Overall, we interpret that parasite communities of mullets change at a much lower spatial scale than that adopted in this study. This finding strongly suggests the need for proper replication to make reliable inferences about stock structure in fish populations based on parasitological data.     

Metailurus major Zdansky, 1924 (Carnivora,Mammalia) from the classical locality of Pikermi (Attica,Greece)

The species of Metailurus major has a large geographical extension and is known from localities spread out from West Europe to China. In Greece it is known from the Late Miocene locality of Halmyropotamos in Euboea, while some authors mention it also in Pikermi and Samos in faunal lists only. Two specimens from Pikermi prove its existence in this classical locality.     

Ecology of the invading moss species Orthodontium lineare in Sweden: Spatial distribution and population structure

The moss species Orthodontium lineare , originally from the southern hemisphere, has been spreading in Europe during this century. We have monitored the distribution patterns of the species in Sweden.
The age distribution differed between localities due to variation in the proportion of colonies in old age classes. We attributed this to differences in colony mortality. Although O. lineare had a high spore output in most localities, the colonies showed a clumped pattern, indicating strong neighbourhood effects in the colonization of new spots within the locality.
The regional distribution was uneven and markedly southwestern. The distribution was related to regional and local availability of suitable habitats (decaying wood in not-too-dense forests), and to a lesser extent to climatic variables.
Spore transport and establishment are suggested to be the limiting factors for colonization of suitable habitats of O. lineare .     

Spatial autocorrelation in biology 2. Some biological implications and four applications of evolutionary and ecological interest

Spatial autocorrelation analysis tests whether the observed value of a variable at one locality is significantly dependent on values of the variable at neighbouring localities. The method was extended by us in an earlier paper to include the computation of correlograms for spatial autocorrelation. These show the autocorrelation coefficient as a function of distance between pairs of localities, and summarize the patterns of geographic variation exhibited by the response surface of any given variable. Identical variation patterns lead to identical correlograms, but different patterns may or may not yield different correlograms. Similarity in the correlograms of different variation patterns suggests similarity in the generating mechanism of the pattern.
The inferences that can be drawn from correlograms are discussed and illustrated. Examination and analysis of variation patterns of several characters or gene frequencies for one population, or of several populations in different places or at different times, permit some conclusions about the nature of the populational processes generating the observed patterns.
Autocorrelation analysis is applied to four biological situations differing in the nature of the data (interval or nominal), in the type of grid connecting the localities (regular or irregular), and the field of application (evolution or ecology). The examples comprise genotypes of individual mice, blood group frequencies in humans, gene frequency variation in a perennial herb, and the distribution of species of trees. The implications of our findings are discussed.     

Wikiplantbase #Toscana,breaking the dormancy of floristic data

The online platform “Wikiplantbase #Toscana” provides a framework where the full set of georeferenced floristic records of Tuscany (central Italy) can be entered, stored, updated and freely accessed through the Internet. As of 5 January 2015, the database stores 67,360 floristic records, referable to 3578 accepted specific and subspecific taxa. Most records are based on published data (80.6% of the total), then by published herbarium specimens (15.1%) and on unpublished field data (3.8%); unpublished herbarium records account only for 0.5% of the stored data. At present, the most represented species is the fern Pteridium aquilinum (L.) Kuhn subsp. aquilinum (Dennstaedtiaceae) with 234 records for 219 localities, but 625 species are still represented only by one record for a single locality. Data acquisition is far from complete, but in slightly more than one year a massive amount of data was accumulated, and can be maintained up-to-date with relatively little effort. This could power several researches such as, for example, (1) taxonomic researches especially on species and genera in Tuscany and Italy; (2) studies on the distribution of diversity across administrative or ecological boundaries; (3) evaluation of conservation status of endangered taxa; and (4) static and dynamic range modelling and evolution niche studies.     

Population genetic structure and male-biased dispersal in the queenless ant Diacamma cyaneiventre

In this study we investigated the population genetic structure of the queenless ant Diacamma cyaneiventre. This species, lacking winged queens, is likely to have a restricted female dispersal. We used both mitochondrial and microsatellite markers to assess the consequence of such restricted female dispersal at three geographical scales: within a given locality (< 1 km), between localities within a given region (< 10 km) and between regions (> 36 km). Within a locality, a strong population structure was observed for mitochondrial DNA (mtDNA) whereas weak or nonexistent population genetic structure was observed for the microsatellites (around 5% of the value for mtDNA). Male gene flow was estimated to be about 20-30 times higher than female gene flow at this scale. At a larger spatial scale, very strong genetic differentiation for both markers was observed between localities - even within a single region. Female dispersal is nonexistent at these scales and male dispersal is very restricted, especially between regions. The phylogeographical structure of the mtDNA haplotypes as well as the very low genetic diversity of mtDNA within localities indicate that new sites are colonized by a single migration event from adjacent localities, followed by successive colony fissions. These patterns of genetic variability and differentiation agree with what is theoretically expected when colonization events are kin-structured and when, following colonization, dispersion is mainly performed by males.     

Targeting squares for survey: predicting species richness and incidence of species for a butterfly atlas

1. Predictions on species richness and incidence of species are made using data for three scales of mapping from the Greater Manchester butterfly atlas; for the whole of the conurbation (2 km×2 km scale) and for two sample areas centred on the Mersey Valley (1 km×1 km scale; 1 ha scale). Predictions are based on data for recording effort, altitude, biotopes, host-plants and nectar resources. 2. Data for Greater Manchester indicate that substantial shortfalls may occur in recording butterfly species for atlases despite the fact that butterflies are generally easily identified and well supported with recorders. Shortfalls tend to be larger for species with fewer records, indicating that some species may be more easily overlooked than others. 3. The results demonstrate that targeting squares for re-survey is necessary and feasible. The predictions have other valuable research applications, the most important of which is being able to assess the accuracy of distribution maps, to correct them, and to make projections of distribution changes. 4. Predictions may be enhanced by improvements to mapping in three ways: (i) Collecting data on recording effort. Variation in recording effort typically accounts for differences in species richness and incidence of species more than any other variable; (ii) Collecting data on biotopes and specific resources. The present results are promising and demonstrate that the collection of environmental data linked to a suitable sampling frame could facilitate knowledge of the distribution of species over extensive areas that remain under-recorded; and (iii) Distinguishing between breeding individuals and vagrants. Vagrancy is a problem associated both with species and scale. Although species vary substantially in their capacity to migrate beyond their habitats, the effect of vagrancy on distribution maps becomes an increasingly large problem as the grain of mapping (size of recording units) decreases. It is suggested that over-recording can be a problem, particularly when mapping is fine-grained.     

The Sampled Red List Index for Plants,phase II: ground-truthing specimen-based conservation assessments

The IUCN Sampled Red List Index (SRLI) is a policy response by biodiversity scientists to the need to estimate trends in extinction risk of the world''s diminishing biological diversity. Assessments of plant species for the SRLI project rely predominantly on herbarium specimen data from natural history collections, in the overwhelming absence of accurate population data or detailed distribution maps for the vast majority of plant species. This creates difficulties in re-assessing these species so as to measure genuine changes in conservation status, which must be observed under the same Red List criteria in order to be distinguished from an increase in the knowledge available for that species, and thus re-calculate the SRLI. However, the same specimen data identify precise localities where threatened species have previously been collected and can be used to model species ranges and to target fieldwork in order to test specimen-based range estimates and collect population data for SRLI plant species. Here, we outline a strategy for prioritizing fieldwork efforts in order to apply a wider range of IUCN Red List criteria to assessments of plant species, or any taxa with detailed locality or natural history specimen data, to produce a more robust estimation of the SRLI.     

Groupings by locality in community ecology and paleoecology: tests of significance

Harper, Charles W. Jr. 1978 07 15: Groupings by locality in community ecology and paleoecology: tests of significance. Lethaia , Vol. 11, pp. 251–257. Oslo. ISSN 0024–1164.
Ecologic sample localities are commonly classified into groups on the basis of their species content; distinctive groups of localities are then commonly used to define discrete biofacies or communities. Yet, such locality groups and, by extension, the communities or biofacies inferred from them are almost never tested for statistical significance. Two approximate randomization tests are proposed as a step in this direction. One evaluates whether or not a given data set on which one or more locality groups are based exhibits a degree of clustering by locality that is statistically significant. The second evaluates the statistical significance of the degree of mappability exhibited by a given collection of inferred locality groups.     

Ranking introduced into phenological recording

Generally, phenological recording is based on the recognition of separate phases of development in the organism of interest. In the present study samples were ranked with respect to the stage of bud or leaf development reached at the time of sampling. In April 1982 budding and leaf development of all species of trees and shrubs were recorded over 2 km² of the northeastern slope of Nävlingeåsen, a horst in southernmost Sweden. During 3 days, of which the first two were consecutive, the author walked a stretch of 12 km, divided into 107 sections. In each of these the first living twig at about 1.5 m above ground was sampled for each species. At the end of the day all twigs from the same species were ranked by two persons independently. The ranks were normalized, and a mean calculated for each section. To reduce the impact of natural variation within a species, and also the influence of microclimate where species cluster, the ranks of the sections were smoothed by weighted moving averages. Using three localities which were investigated twice as fixed points, the ranking lists of separate days were integrated into a single system. A time lag of 4 or 5 days in the onset of spring was established between different localities.     

Mercury in tigerfish (Hydrocynus vittatus, Castelnau), green happy (Sargochromis codringtonii, Boulenger) and kapenta (Limnothrissa miodon, Boulenger) from Lake Kariba, Zimbabwe

Concentrations of total mercury were determined in Hydrocynus vittatus (Castelnau), Sargochromis codringtonii (Boulenger), and Limnothrissa miodon (Boulenger) from two localities in Lake Kariba, Zimbabwe.
The mean concentrations of total mercury in H. vittatus from Basin 5 and Basin 2 were 0.08 mg kg⁻¹ and 0.094 mg kg⁻¹, respectively. In S. codringtonii, mean concentrations were 0.004 mg kg⁻¹ and 0.026 mg kg⁻¹ for Basins 5 and 2, respectively. No mercury was detected in L. miodon from Basin 2 while samples from Basin 5 had a mean concentration of 0.069 mg kg⁻¹ (wet weight). Total mercury concentrations were also determined on a dry weight basis.
Within each sampling area, total mercury concentrations were significantly different among species ( P  < 0.05). For H. vittatus and S. codringtonii, total mercury concentrations (in the same species) were not significantly different between the two localities ( P  < 0.05).
The factors causing the observed differences in total mercury between similar species from different localities and among different species in the same locality (sampling area) are discussed. From the observed low levels of mercury in all three species, it was concluded that the mercury constituted 'background levels'. These levels are below the maximum concentrations permissible in human fish foods.     

Analysis of the distribution of insectivorous bats in Israel

Data on localities from which insectivorous bats were collected or sighted in Israel were compiled into a Geographical Information System (GIS) in order to analyse patterns of species distribution. By intersecting precipitation and temperature data with spatially-referenced data on species observations stored in the GIS we determined the 'climatic envelope' of each species and constructed predictive maps which show the potential distribution of each species. Using cluster analysis, the bats were classified into three main biogeographic groups according to their distribution, namely desert, Mediterranean, and widespread in Israel. The potential distribution maps of all the species indicate that there are areas which have suitable bat habitats but from which bats have never been collected or observed. In the Mediterranean region of Israel, this is attributed to a large reduction in population size due to fumigation of caves, cave visitation and secondary poisoning.     

Are species lists derived from modeled species range maps appropriate for macroecological studies? A case study on data from BIEN

Because survey-based species lists for fine-scale areas are generally lacking, ecologists have been using species lists derived from modeled range maps in macroecological studies. Here I evaluate whether it is appropriate to use species lists derived from modeled range maps in macroecological studies. I compared species lists derived from about 90,000 range maps in the Botanical Information and Ecology Network (BIEN) for over 180 geographic regions (12 broad regions covering the whole of the New World; 172 smaller regions, i.e. Taxonomic Databases Working Group units) with those representing complete or nearly complete species lists obtained from the literature for the regions. I determined the completeness of native species composition and proportion of false presences and exotic (non-native) species in species lists derived from range maps in BIEN. I determined whether errors in species lists derived from modeled range maps affect macroecological inferences by comparing the relationships of α- and β-diversity with geographic and climatic variables between different datasets (i.e. species lists derived from range maps versus complete or nearly complete species lists derived from the literature). The completeness for native species lists derived from range maps was 60–74%, depending on spatial scale. On average, 65% of the species in a species list derived from BIEN for a geographic area are false presences or non-native species to the area. The relationships of α- and β-diversity derived from the BIEN dataset with geographic and climatic variables differ significantly from those derived from complete species lists. This study shows that the results of a macroecological study based on species lists derived from modeled range maps may be substantially incorrect due to high percentages of missing native species, and high numbers of non-native species and false presences. Thus, it may not be appropriate to use species lists derived from modeled range maps in the macroecological studies that require complete or nearly complete species lists.     

Fine-scale spatial genetic structure in the brooding sea urchin <Emphasis Type="Italic">Abatus cordatus</Emphasis> suggests vulnerability of the Southern Ocean marine invertebrates facing global change

The Southern Ocean benthic communities are characterized by their levels of endemism and their diversity of invertebrate brooding species. Overall, biological processes acting within these species remain poorly understood despite their importance to understand impacts of ongoing global change. We take part in filling this gap by studying the genetic structure over different spatial scales (from centimeters to tens of kilometers) in Abatus cordatus, an endemic and brooding sea urchin from the Kerguelen Islands. We developed three microsatellites and two exon-primed intron crossing markers and conducted a two-scale sampling scheme (from individuals to patches) within two dense localities of Abatus cordatus. Between patches, all pairwise comparisons, covering distances from few meters (between patches within locality) to 25 km (between localities), revealed significant genetic differentiation, a higher proportion of the molecular variance being explained by the comparisons between localities than within localities, in agreement with an isolation by distance model. Within patches, we found no significant correlation between individual pairwise spatial and genetic distances, except for the most polymorphic locus in the patch where the largest range of geographical distances had been analyzed. This study provides an estimation of the dispersal capacities of Abatus cordatus and highlights its low recolonization ability. Similar low recolonization capacities are thus expected in other Antarctic and Subantarctic brooding invertebrate species and suggest a high vulnerability of these species facing global change.     

Geographic variation in Pemphigus populitransversus (Insecta: Aphididae)*†

The geographic variation of 33 morphological characters of two morphs of the gall-forming aphid Pemphigus populitransversus is studied in 214 locality samples. Among-locality variation ranges from 1 to 69% in the elongate morph and from 0 to 44% in the globular morph. The design of the study permits separation of interlocality correlations from intralocality correlations. The former are partly a function of the latter, confirming early observations on another Pemphigus species and on ticks. Factor analyses of both correlation matrices for both morphs yield four factors. Within localities these factors agree for the two morphs; among localities only one factor corresponds. Multiple discriminant analyses among localities of the two data sets do not correspond. There is little correlation between characters of stem mother and alate morphotypes within localities but such correlations are strong among localities. Maps are furnished for characters representing the independent dimensions of variation for each morph. Patterns of variation are shown to be significant by spatial autocorrelation analysis for both morphs but are much more marked in the elongate morph. Significant positive autocorrelation occurs up to 1000 km in the elongate morph – mostly only up to 200 km in the globular morph. There are two to three geographic variation patterns in the elongate morph, whereas in the globular morph the classes of patterns are less well defined and involve few characters. The environmental factors to which the globular and elongate morphs are adapting would appear to have different autocorrelation patterns. In each morph the patterns are clearly different and cannot be explained by a single microevolutionary process. The findings are compared with an earlier study in the related and largely sympatric P. populicaulis.     

Spatial autocorrelation in biology 1. Methodology

Spatial autocorrelation analysis tests whether the observed value of a nominal, ordinal, or interval variable at one locality is independent of values of the variable at neighbouring localities. The computation of autocorrelation coefficients for nominal, ordinal, and for interval data is illustrated, together with appropriate significance tests. The method is extended to include the computation of correlograms for spatial autocorrelation. These show the autocorrelation coefficient as a function of distance between pairs of localities being considered, and summarize the patterns of geographic variation exhibited by the response surface of any given variable.
Autocorrelation analysis is applied to microgeographic variation of allozyme frequencies in the snail Helix aspersa. Differences in variational patterns in two city blocks are interpreted.
The inferences that can be drawn from correlograms are discussed and illustrated with the aid of some artificially generated patterns. Computational formulae, expected values and standard errors are furnished in two appendices.     

Grids versus regional species lists: are broad-scale patterns of species richness robust to the violation of constant grain size?

Where distribution maps do not exist ecologists often use regional species lists to examine geographic patterns of species richness, despite the fact that inconsistent grain sizes across areas may complicate interpretation of the results. We compare patterns of species richness of European butterflies and dragonflies using regional species lists (varying grain size) and regular grids (constant grain size). We asked if species lists give results comparable to the gridded data when used in simple macroecological analysis of environmental correlates of species richness. We generated two equal-area grids (220 × 220 km and 440 × 440 km) to map the richness gradients and model species richness as a function of actual evapotranspiration (AET) and range in elevation. Then we used species checklists of 33 administrative regions of unequal sizes to construct the same environmental models while accounting for differences in area. Analysis of butterfly checklist data produced comparable results to the analysis of gridded data. In contrast, dragonfly checklist data had a distorted spatial pattern and much weaker associations with environmental variables than the gridded data. The robustness of checklist data appears to be variable, even within a single geographical region, and may not generate patterns congruent with those found using equal-area grids.