Macroecological Studies Research Articles

Synthesizing tree biodiversity data to understand global patterns and processes of vegetation

AbstractAimsTrees dominate the biomass in many ecosystems and are essential for ecosystem functioning and human well‐being. They are also one of the best‐studied functional groups of plants, with vast amounts of biodiversity data available in scattered sources. We here aim to illustrate that an efficient integration of these data could produce a more holistic understanding of vegetation.MethodsTo assess the extent of potential data integration, we use key databases of plant biodiversity to: (a) obtain a list of tree species and their distributions; (b) identify coverage of and gaps in different aspects of tree biodiversity data; and (c) discuss large‐scale patterns of tree biodiversity in relation to vegetation.ResultsOur global list of trees included 58,044 species. Taxonomic coverage varies in three key databases, with data on the distribution, functional traits, and molecular sequences for about 84%, 45% and 44% of all tree species, which is >10% greater than for plants overall. For 28% of all tree species, data are available in all three databases. However, less data are digitally accessible about the demography, ecological interactions, and socio‐economic role of tree species. Integrating and imputing existing tree biodiversity data, mobilization of non‐digitized resources and targeted data collection, especially in tropical countries, could help closing some of the remaining data gaps.ConclusionsDue to their key ecosystem roles and having large amounts of accessible data, trees are a good model group for understanding vegetation patterns. Indeed, tree biodiversity data are already beginning to elucidate the community dynamics, functional diversity, evolutionary history and ecological interactions of vegetation, with great potential for future applications. An interoperable and openly accessible framework linking various databases would greatly benefit future macroecological studies and should be linked to a platform that makes information readily accessible to end users in biodiversity conservation and management.

A fossil-calibrated time-tree of all Australian freshwater fishes

Australian freshwater fishes are a relatively species-poor assemblage, mostly comprising groups derived from older repeated freshwater invasions by marine ancestors, plus a small number of Gondwanan lineages. These taxa are both highly endemic and highly threatened, but a comprehensive phylogeny for Australian freshwater fishes is lacking. This has hampered efforts to study their phylogenetic diversity, distribution of extinction risk, speciation rates, and rates of trait evolution. Here, we present a comprehensive dated phylogeny of 412 Australian fishes. We include all formally recognized freshwater species plus a number of genetically distinct subpopulations, species awaiting formal description, and predominantly brackish-water species that sometimes enter fresh water. The phylogeny was inferred using maximum-likelihood analysis of a multilocus data set comprising six mitochondrial and three nuclear genes from 326 taxa. We inferred the evolutionary timescale using penalized likelihood, then used a statistical approach to add 86 taxa for which no molecular data were available. The time-tree inferred in our study will provide a useful resource for macroecological studies of Australian freshwater fishes by enabling corrections for phylogenetic non-independence in evolutionary and ecological comparative analyses.

The Utility of Macroecological Rules for Microbial Biogeography

Macroecological rules have been developed for plants and animals that describe large-scale distributional patterns and attempt to explain the underlying physiological and ecological processes behind them. Similarly, microorganisms exhibit patterns in relative abundance, distribution, diversity, and traits across space and time, yet it remains unclear the extent to which microorganisms follow macroecological rules initially developed for macroorganisms. Additionally, the usefulness of these rules as a null hypothesis when surveying microorganisms has yet to be fully evaluated. With rapid advancements in sequencing technology, we have seen a recent increase in microbial studies that utilize macroecological frameworks. Here, we review and synthesize these macroecological microbial studies with two main objectives: (1) to determine to what extent macroecological rules explain the distribution of host-associated and free-living microorganisms, and (2) to understand which environmental factors and stochastic processes may explain these patterns among microbial clades (archaea, bacteria, fungi, and protists) and habitats (host-associated and free living; terrestrial and aquatic). Overall, 78% of microbial macroecology studies focused on free living, aquatic organisms. In addition, most studies examined macroecological rules at the community level with only 35% of studies surveying organismal patterns across space. At the community level microorganisms often tracked patterns of macroorganisms for island biogeography (74% confirm) but rarely followed Latitudinal Diversity Gradients (LDGs) of macroorganisms (only 32% confirm). However, when microorganisms and macroorganisms shared the same macroecological patterns, underlying environmental drivers (e.g., temperature) were the same. Because we found a lack of studies for many microbial groups and habitats, we conclude our review by outlining several outstanding questions and creating recommendations for future studies in microbial ecology.

WOODIV, a database of occurrences, functional traits, and phylogenetic data for all Euro-Mediterranean trees

Trees play a key role in the structure and function of many ecosystems worldwide. In the Mediterranean Basin, forests cover approximately 22% of the total land area hosting a large number of endemics (46 species). Despite its particularities and vulnerability, the biodiversity of Mediterranean trees is not well known at the taxonomic, spatial, functional, and genetic levels required for conservation applications. The WOODIV database fills this gap by providing reliable occurrences, four functional traits (plant height, seed mass, wood density, and specific leaf area), and sequences from three DNA-regions (rbcL, matK, and trnH-psbA), together with modelled occurrences and a phylogeny for all 210 Euro-Mediterranean tree species. We compiled, homogenized, and verified occurrence data from sparse datasets and collated them on an INSPIRE-compliant 10 × 10 km grid. We also gathered functional trait and genetic data, filling existing gaps where possible. The WOODIV database can benefit macroecological studies in the fields of conservation, biogeography, and community ecology.

Distribution of plant mycorrhizal traits along an elevational gradient does not fully mirror the latitudinal gradient.

The influence of mycorrhizal symbiosis on ecosystem processes depends on the mycorrhizal type and status of plants. Early research hypothesized that the proportion of arbuscular mycorrhizal (AM) species decreases and of ectomycorrhizal (ECM) and ericoid mycorrhizal (ERM) species increases along increasing elevations and latitudes. However, there is very scarce information about this pattern along elevation gradients. We aimed to test this hypothesis and to describe the trends in plant mycorrhizal status by examining the Pyrenean mountain range (from 400 to 3400m asl). The distribution of plant mycorrhizal types: AM, ECM, ERM, and non-mycorrhizal (NM) and status (obligately, OM, or facultatively, FM mycorrhizal plants, FM) were identified based on the Pyrenean Floristic Atlas and analyzed for climatic and edaphic drivers. The proportion of AM plants decreased slightly with elevation, while ECM species peaked at 1000m asl. The proportion of ERM and NM plant species rose with increasing elevation. The proportion of FM species increased, and OM species decreased with increasing elevation. The change of AM and ECM species, and OM and FM species, along the elevational gradient, corresponds broadly to changes along the latitudinal gradient, driven by a combination of climatic and edaphic factors. Differently, the elevational occurrence of NM plant species is mainly driven only by climatic factors (low temperature) and that of ERM species by only edaphic factors (low pH). Large-scale macroecological studies (≥50km grid cell) well reflect the effects of climate on the distribution of plant mycorrhizal traits, but local data (≤1km grid cell) are needed to understand the effects of soil conditions and land use.

SIVIM Deciduous Forests – Database of deciduous forests from the Iberian Peninsula

“SIVIM Deciduous Forests” is a thematic database established in 2015, focused on forest vegetation from the Iberian Peninsula and southern France. It was registered in the Global Index of Vegetation Databases (GIVD ID: EU-00-023) in January 2016. All types of temperate and submediterranean non-riparian deciduous forests of the phytosociological classes Carpino-Fagetea sylvaticae, Quercetea pubescentis and Quercetea robori-petraeae (formerly combined in the class Querco-Fagetea) are represented in the database. Currently, it contains 6,642 published vegetation plots of beech, birch, ash, lime and other deciduous mixed forests, as well as forests dominated by different species of deciduous and marcescent oaks, 100% of them classified at association level. Data are stored in TURBOVEG format, and are available upon request from the international vegetation-plot databases EVA and sPlot in semi-restricted regime. The relevés have also been included in SIVIM database, and thus they are freely available online. However, in SIVIM Deciduous Forests geolocation accuracy has been improved and the taxonomy and syntaxonomy unified. Plot size is available for 73% of the relevés, of which 82% are between 100 and 400 m2. Plant taxonomy is standardized to Flora iberica. During the last four years, data of SIVIM Deciduous Forests were requested via EVA and sPlot for different projects, and have been used for several studies with various objectives, from floristic, vegetation and habitat-related topics to macroecological studies, and from local to global scales. Abbreviations: EVA = European Vegetation Archive; GIVD = Global Index of Vegetation-Plot Databases; SIVIM = Iberian and Macaronesian Vegetation Information System.

Balkan Vegetation Database (BVD) – updated information and current status

The Balkan Vegetation Database (BVD; GIVD ID: EU-00-019) is a regional database, which was established in 2014. It comprises phytosociological relevés covering various vegetation types from nine countries of the Balkan Peninsula (Albania – 153 relevés, Bosnia and Herzegovina – 1715, Bulgaria – 12,282, Greece – 465, Croatia – 69, Kosovo – 493, Montenegro – 440, North Macedonia – 13 and Serbia – 2677). Currently, it contains 18,306 relevés (compared to 9.580 in 2016), and most of them (82.8%) are geo-referenced. The database includes both digitized relevés from the literature (65.6%) and unpublished data (34.5%). Plot size is available for 84.7% of all relevés. During the last four years some “header data information” was improved e.g. elevation (now available for 83.4% of all relevés), aspect (67.7%), slope (66%), total cover of vegetation (54.3%), cover of tree, shrub, herb, bryophyte and lichen layers (27.1%, 20.1%, 40.2%, 11.5% and 2.1%), respectively. Data access is either semi-restricted (65.6%) or restricted (34.4%). Most relevés (84.6%) are classified to syntaxa of different levels. The database has been used for numerous studies with various objectives from floristic, vegetation and habitat-related topics, to macroecological studies at the local, regional, national, continental and global levels. During the last four years, BVD data were requested from 111 different projects via the EVA and sPlot databases.

An updated phylogenetic bioregionalization for the European fern flora

Biogeographic regions have been extensively used as reference units in macroecological studies and to prioritize biodiversity conservation efforts. However, classical bioregionalizations were delineated based on taxonomical similarity across space, and thus the importance of historical factors may have been underrated. This limitation may be particularly relevant for lineages with long and complex evolutionary histories, such as ferns. Here, we drew on an exhaustive distribution dataset including all fern species and subspecies of Europe (661 grid-cells of c. 110 × 110 km each), as well as a nearly complete molecular phylogeny to define fern phyloregions based on their phylogenetic relatedness. Also, we quantified the degree of specificity of individual phylogenetic clades to the phyloregions using a new index of geographical confinement based on phylogenetic diversity. Six distinct phyloregions were identified, with a primary divide between north-eastern and south-western Europe. Both phylogenetic beta diversity and clade specificity were overall low, supporting the idea that dispersal limitation is not a major driver of fern distribution. Yet, the phylogenetic specificity analysis revealed that ancient fern lineages show preference for northern latitudes, which explained the northeast to southwest split of the territory. More than 40 years after the only bioregionalization analysis for the European fern flora, our study provides a fresh regional delineation that takes into account the evolutionary history of the group. In addition to classical bioregionalization approaches, our phylogenetic specificity index allowed us to elucidate the identity of the clades that ultimately shaped the bioregions, which might otherwise had remained obscure.

The multidimensionality of soil macroecology.

The recent past has seen a tremendous surge in soil macroecological studies and new insights into the global drivers of one-quarter of the biodiversity of the Earth. Building on these important developments, a recent paper in Global Ecology and Biogeography outlined promising methods and approaches to advance soil macroecology. Among other recommendations, White and colleagues introduced the concept of a spatial three-dimensionality in soil macroecology by considering the different spheres of influence and scales, as soil organism size ranges vary from bacteria to macro- and megafauna. Here, we extend this concept by discussing three additional dimensions (biological, physical, and societal) that are crucial to steer soil macroecology from pattern description towards better mechanistic understanding. In our view, these are the requirements to establish it as a predictive science that can inform policy about relevant nature and management conservation actions. We highlight the need to explore temporal dynamics of soil biodiversity and functions across multiple temporal scales, integrating different facets of biodiversity (i.e., variability in body size, life-history traits, species identities, and groups of taxa) and their relationships to multiple ecosystem functions, in addition to the feedback effects between humans and soil biodiversity. We also argue that future research needs to consider effective soil conservation policy and management in combination with higher awareness of the contributions of soil-based nature’s contributions to people. To verify causal relationships, soil macroecology should be paired with local and globally distributed experiments. The present paper expands the multidimensional perspective on soil macroecology to guide future research contents and funding. We recommend considering these multiple dimensions in projected global soil biodiversity monitoring initiatives.

MAcroecological Framework for Invasive Aliens (MAFIA): disentangling large-scale context dependence in biological invasions

Macroecology is the study of patterns, and the processes that determine those patterns, in the distribution and abundance of organisms at large scales, whether they be spatial (from hundreds of kilometres to global), temporal (from decades to centuries), and organismal (numbers of species or higher taxa). In the context of invasion ecology, macroecological studies include, for example, analyses of the richness, diversity, distribution, and abundance of alien species in regional floras and faunas, spatio-temporal dynamics of alien species across regions, and cross-taxonomic analyses of species traits among comparable native and alien species pools. However, macroecological studies aiming to explain and predict plant and animal naturalisations and invasions, and the resulting impacts, have, to date, rarely considered the joint effects of species traits, environment, and socioeconomic characteristics. To address this, we present the MAcroecological Framework for Invasive Aliens (MAFIA). The MAFIA explains the invasion phenomenon using three interacting classes of factors – alien species traits, location characteristics, and factors related to introduction events – and explicitly maps these interactions onto the invasion sequence from transport to naturalisation to invasion. The framework therefore helps both to identify how anthropogenic effects interact with species traits and environmental characteristics to determine observed patterns in alien distribution, abundance, and richness; and to clarify why neglecting anthropogenic effects can generate spurious conclusions. Event-related factors include propagule pressure, colonisation pressure, and residence time that are important for mediating the outcome of invasion processes. However, because of context dependence, they can bias analyses, for example those that seek to elucidate the role of alien species traits. In the same vein, failure to recognise and explicitly incorporate interactions among the main factors impedes our understanding of which macroecological invasion patterns are shaped by the environment, and of the importance of interactions between the species and their environment. The MAFIA is based largely on insights from studies of plants and birds, but we believe it can be applied to all taxa, and hope that it will stimulate comparative research on other groups and environments. By making the biases in macroecological analyses of biological invasions explicit, the MAFIA offers an opportunity to guide assessments of the context dependence of invasions at broad geographical scales.

Body size is a good proxy for vertebrate charisma

The charisma of species, i.e., their popularity among people, influences how much we are willing to invest in seeing, studying, and protecting them. Previous studies have investigated the drivers of animal charisma, but because collection of species popularity data is costly in terms of time and resources, these are often restricted to a small number of species, making it difficult to generalize results at a scale useful for macroecological studies. Here, we test the hypothesis that animal charisma scales with species body size using nine open-access datasets on animal charisma for 13,680 species from four vertebrate classes: amphibians, birds, mammals, and reptiles. We performed linear mixed models using all studies taken together and, in supplement, linear models on each study separately. We found that animal charisma scales positively with species body size across different vertebrate classes, geographic areas, and charisma estimation methodologies. This general scaling relationship between body size and animal charisma supports large-bodied species to have disproportionate importance for conservation due to their high appeal on people. These findings suggest that body size can be used as a proxy for the charisma of species at broad spatial scales and for large numbers of species, as an alternative to more resource-intensive surveys.

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.

Blind spots in global soil biodiversity and ecosystem function research

Soils harbor a substantial fraction of the world’s biodiversity, contributing to many crucial ecosystem functions. It is thus essential to identify general macroecological patterns related to the distribution and functioning of soil organisms to support their conservation and consideration by governance. These macroecological analyses need to represent the diversity of environmental conditions that can be found worldwide. Here we identify and characterize existing environmental gaps in soil taxa and ecosystem functioning data across soil macroecological studies and 17,186 sampling sites across the globe. These data gaps include important spatial, environmental, taxonomic, and functional gaps, and an almost complete absence of temporally explicit data. We also identify the limitations of soil macroecological studies to explore general patterns in soil biodiversity-ecosystem functioning relationships, with only 0.3% of all sampling sites having both information about biodiversity and function, although with different taxonomic groups and functions at each site. Based on this information, we provide clear priorities to support and expand soil macroecological research.

Woody plant subregions of the Amazon forest

Abstract The Amazon forest covers 7.5 million km2 in nine countries, hosts 25% of the global biodiversity and is a major contributor to the biogeochemical and climatic functioning of the Earth system. Despite its global importance, a regionalization of the Amazon tree flora is still lacking. Clear and data‐driven delimitation of subregions is important for macroecological studies, to the identification of metacommunities and is a requisite for conservation planning. We aimed at identifying and mapping plant species subregions and investigated their relationships with environmental, historical and human correlates. We provide the first woody plant regionalization of the entire Amazon forest using a data‐driven approach based on assemblage composition patterns. We compiled data on woody species composition from 301 assemblages based on species occurrences. We then used unconstrained ordination, interpolation and clustering techniques to identify and map discrete woody subregions. Hierarchical clustering analysis was conducted in order to investigate the relationships between the identified subregions. We used multinomial logistic regression model and deviance partitioning to investigate the influence of environmental, historical and human factors on subregions distribution. We identified 13 woody subregions in the entire Amazon forest. The hierarchical subregion classification showed a broad Andean‐Cratonic east–west division. Variation in subregions was explained jointly by human factors and spatial structure followed by environmental factors and spatial structure combined. Synthesis. Our woody plant subregions differed from World Wildlife Fund ecoregions and physiognomic‐based maps, highlighting the importance of basing regionalizations on taxon‐specific groups and confirming that vegetation maps should not be used as proxies to plant diversity subregions. Our findings also confirm the need for multiple and extensive protected areas in the Amazon forest. The relevance of current climate factors in our study alerts to a profound impact that climate change could have on the spatial organization of the Amazon flora.

Game of Tenure: the role of “hidden” citations on researchers’ ranking in Ecology

Field ecologists and macroecologists often compete for the same grants and academic positions, with the former producing primary data that the latter generally use for model parameterization. Primary data are usually cited only in the supplementary materials, thereby not counting formally as citations, creating a system where field ecologists are routinely under-acknowledged and possibly disadvantaged in the race for funding and positions. Here, we explored how the performance of authors producing novel ecological data would change if all the citations to their work would be accounted for by bibliometric indicators. We collected the track record of >2300 authors from Google Scholar and citation data from 600 papers published in 40 ecology journals, including field-based, conservation, general ecology, and macroecology studies. Then we parameterized a simulation that mimics the current publishing system for ecologists and assessed author rankings based on number of citations, H-Index, Impact Factor, and number of publications under a scenario where supplementary citations count. We found weak evidence for field ecologists being lower ranked than macroecologists or general ecologists, with publication rate being the main predictor of author performance. Current ranking dynamics were largely unaffected by supplementary citations as they are 10 times less than the number of main text citations. This is further exacerbated by the common practice of citing datasets assembled by previous research or data papers instead of the original articles. While accounting for supplementary citations does not appear to offer a solution, researcher performance evaluations should include criteria that better capture authors’ contribution of new, publicly available data. This could encourage field ecologists to collect and store new data in a systematic manner, thereby mitigating the data patchiness and bias in macroecology studies, and further accelerating the advancement of ecology and related areas of biogeography.

Does biogeography need species?

The non–equivalence of species defined using different species concepts has recently been highlighted as a serious impediment for conservation efforts. The question arises then, to what extent biogeographical studies, and especially macroecological studies, might also be hampered by the numerous problems pertaining to multi–species datasets. An examination of what is meant by species across spatial scales reveals an important discontinuity. Over and above the much–debated species concepts the word ‘species’ describes, in fact, two distinct ideas. One, applicable at the local scale, is critical in a community ecology context. The second refers to non–equivalent units in the global inventory of biodiversity, useful for reference purpose, but problematic where analysis is concerned. The majority of biogeographical studies are in fact relevant to those intermediate spatial scales where neither meaning truly applies. Multi–species lineages that are comparable in one or another respect (such as equal–age lineages and similar–range lineages) are probably more accurate units for testing biogeographical hypotheses

Contrasting effects of climate change on the European and global potential distributions of two Mediterranean helicoid terrestrial gastropods

Predicting the impacts of global climate change on the current and future distribution of alien or endangered species is an essential subject in macroecological studies. Although several investigations have been devoted to animal and plant species, few have addressed terrestrial gastropods. We employed spatial distribution modelling to construct European and global potential distribution ranges of two land snails (Cernuella virgata and Hygromia cinctella) using current and future climate scenarios. Both species have been continuously spreading northward from the Mediterranean region, also being introduced to a few areas outside Europe. We found that under the current climate scenario, most presently occupied areas in Europe are also at high probability of future occurrence of these species. However, under four future climatic conditions, these snails will undergo contrasting scenarios. C. virgata will have a large potential gain, likely due to rising temperatures and its weak fluctuations. In this species, global warming increases in potential area size, accompanied by its morphological and physiological adaptations to arid conditions and the ability to passively disperse, are likely to facilitate invasion into new regions of the world. In contrast, there is no significant change in the geographical distribution of colonisation-prone areas for H. cinctella. Our results demonstrate that wetter climatic conditions in the driest season and greater temperature variability will be key limiting factors of its distribution in the future. An understanding of colonisation patterns can help to better manage these invaders and also to formulate policies for their control.

Metabarcoding of eukaryotic parasite communities describes diverse parasite assemblages spanning the primate phylogeny.

Despite their ubiquity, in most cases little is known about the impact of eukaryotic parasites on their mammalian hosts. Comparative approaches provide a powerful method to investigate the impact of parasites on host ecology and evolution, though two issues are critical for such efforts: controlling for variation in methods of identifying parasites and incorporating heterogeneity in sampling effort across host species. To address these issues, there is a need for standardized methods to catalogue eukaryotic parasite diversity across broad phylogenetic host ranges. We demonstrate the feasibility of a metabarcoding approach for describing parasite communities by analysing faecal samples from 11 nonhuman primate species representing divergent lineages of the primate phylogeny and the full range of sampling effort (i.e. from no parasites reported in the literature to the best-studied primates). We detected a number of parasite families and regardless of prior sampling effort, metabarcoding of only ten faecal samples identified parasite families previously undescribed in each host (x̅=8.5 new families per species). We found more overlap between parasite families detected with metabarcoding and published literature when more research effort-measured as the number of publications-had been conducted on the host species' parasites. More closely related primates and those from the same continent had more similar parasite communities, highlighting the biological relevance of sampling even a small number of hosts. Collectively, results demonstrate that metabarcoding methods are sensitive and powerful enough to standardize studies of eukaryotic parasite communities across host species, providing essential new tools for macroecological studies of parasitism.

ATLANTIC MAMMALS: a data set of assemblages of medium- and large-sized mammals of the Atlantic Forest of South America.

Biodiversity inventories contain important information about species richness, community structure, and composition, and are the first step in developing any conservation and mitigation strategies. The Atlantic Forest of South America is home to around 334 species of small-, medium-, and large-sized mammals, and is currently restricted to less than 12% of its original cover. Here, we present the ATLANTIC MAMMALS, an open data set on information on medium- and large-sized mammal assemblages in the Atlantic Forest of Brazil, Paraguay, and Argentina. A total of 129 studies were compiled, including published and in press peer-reviewed papers, book chapters, theses and unpublished data. We mapped 244 assemblages, eight orders, 63 genera, and 94 species (24 of which are classified as threatened by the IUCN Red List) distributed in 128 protected and 116 unprotected areas. Species richness of the mammalian assemblages varied from 1 to 39 species (mean 15). The most recorded species in the entire biome was Dasypus novemcinctus, followed by Cerdocyon thous and Procyon cancrivorous. These data can be useful in support of macroecological studies and conservation planning strategies. Please cite this data paper when the data are used in publications. We also request that researchers and teachers inform us of how they are using the data.

Fifteen important questions in the spatial ecology of diatoms

Abstract Recently, studies about the spatial distribution of microbial species and communities have increased substantially. Freshwater diatoms are used as one of the most popular model taxa in such macroecological studies, but the most exciting patterns in the spatial ecology of diatoms have not been reviewed. Here, we identify 15 important questions about freshwater diatom ecology, review the major findings, and suggest novel research avenues. We found that diatoms do not support classical latitudinal diversity gradient, species–area relationship or Rapoport's rule. We found some, albeit inconsistent support for an elevational diversity gradient, Bergmann's rule and niche conservation. Diatoms do support a positive interspecific abundance–occupancy relationship like nearly all other taxa. With regards to metacommunity dynamics, diatom communities are typically structured by species sorting, but neutral dynamics or mass effects are also evident at large or small spatial scale, respectively. Taken together, this review suggests that diatoms follow some classical biogeographical patterns similarly to larger taxa, but patterns are typically weaker than for macro‐organisms. This may result because diatoms are typically relatively strongly controlled by local factors and often exhibit efficient stochastic dispersal processes both at small and large scales. More research is needed to build a more comprehensive view of diatom species–area relationships and latitudinal gradients in diversity, for example. In the future, well‐replicated macroecological field experiments, diatom studies with intercontinental or global coverage, trait‐based approaches, and DNA‐based species identification would be fruitful avenues to shed more light into the spatial ecology of diatoms.