Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
230
datasets available to search
ShareScore release 0.7.1
Dataset results
230 results for “biogeographic patterns”
FIG. 6. Amazon Core. A. Yellow area delimits the distribution pattern. B in The Fishes Of The Amazon: Distribution And Biogeographical Patterns, With A Comprehensive List Of Species
FIG. 6. Amazon Core. A. Yellow area delimits the distribution pattern. B. Boullengerella spp. (data from Vari (1995) with additional records from MZUSP). C. Moenkhausia collettii (records from MZUSP). D. Moenkhausia oligolepis (records from MZUSP).
FIG. 17 in The Fishes Of The Amazon: Distribution And Biogeographical Patterns, With A Comprehensive List Of Species
FIG. 17. Guiana Shield (Atlantic and Amazonian versants). A. Yellow area delimits the distribution pattern. B. Pseudancistrus brevispinis (data fom Cardoso and Montoya-Burgos, 2009).
FIG. 14. Eastern Amazon. A in The Fishes Of The Amazon: Distribution And Biogeographical Patterns, With A Comprehensive List Of Species
FIG. 14. Eastern Amazon. A. Yellow area delimits the distribution pattern (wavy line represents position of Purus Arch). B. Aphanothorolus emarginatus (data from Ray and Armbruster, 2016). C. Pachyurus junki (records from MZUSP). D. Synaptolaemus latofasciatus (data from Britski et al., 2011).
Data from: Clay larvae do not accurately measure biogeographic patterns in predation
Open the record for dataset details and reuse information.
Biogeographical patterns of freshwater fauna
Open the record for dataset details and reuse information.
Biogeographic patterns of community diversity associated with an introduced alga
Open the record for dataset details and reuse information.
Data from: Human eutrophication drives biogeographic saltmarsh productivity patterns in China
Saltmarshes are important natural carbon sinks with a large capacity to absorb exogenous nutrient inputs. The effects of nutrients on biogeographic productivity patterns, however, have been poorly explored in saltmarshes. We conducted field surveys to examine how complex environments affect productivity of two common saltmarsh plants, invasive Spartina alterniflora and native Phragmites australis, along an 18,000-km latitudinal gradient on the Chinese coastline. We harvested peak aboveground biomass as a proxy for productivity, and measured leaf functional traits (e.g., leaf area, specific leaf area [SLA], leaf nitrogen [N] and phosphorus [P]), soil nutrients (dissolved inorganic N (DIN) and available P (AP)), and salinity. We compiled data on mean annual temperature (MAT) and exogenous nutrients (both N and P). Then, we examined how these abiotic factors affect saltmarsh productivity using both linear mixed effect models and structural equation modelling. Using a trait-based approach, we also examined how saltmarsh productivity responds to changing environments across latitude. Exogenous nutrients (both N and P) compared with temperature and other variables (e.g., DIN, AP, salinity) were the dominant factors in explaining the biogeographic productivity patterns of both S. alterniflora and P. australis. Leaf size-related traits (e.g., leaf area), rather than leaf economic traits (e.g., SLA, leaf N and P), can be used to indicate the positive effects of exogenous nutrients on the productivity of these two species. Our results demonstrated that human eutrophication surpassed temperature as the major driver of biogeographic saltmarsh productivity pattern, challenging current models in which biogeographic productivity pattern is primarily controlled by temperature. Our findings have potential broad implications for the management of S. alterniflora, which is a global invader, as it has benefited from coastal eutrophication. Furthermore, exogenous nutrient availability and leaf size need to be integrated into earth system models that are used to predict global plant productivity in saltmarshes.
Biogeographic affiliation and centers of richness as predictors of elevational range-size patterns for Malesian flora
<p>Our goal was to interrogate the idea that "mountain passes are higher in the tropics" by investigating ecological and biogeographic drivers of elevational range-sizes patterns among equatorial flora. We used herbarium records for sixty species-rich plant families, representing 18535 species total, to estimate distributions over a 4500 m elevational gradient. For each family, we estimated the change in average range-sizes with increasing elevation (i.e. Rapoport's rule, abbreviated as ERR) and quantified 15 metrics of familial richness distribution, evolutionary age, and biogeographic affiliation. We visualized covariation across families using phylogenetic principal components analysis (pPCA). We then evaluated how family-level ERR slopes correlated with each metric individually, as well as when using multivariate techniques to reduce dimensionality. We hypothesized that if long term climate stability over millions of years promotes habitat specialization, then among taxa with longer-term tropical affiliations, we would expect smaller range-sizes within lowland forests, with greater range-size expansion towards higher elevations, expressed as a positive ERR slope. Conversely, variation in growing conditions should promote larger, relatively consistent, range-sizes at all sections of an elevational gradient, expressed as a neutral ERR slope. Our results support this corollary because of the dichotomy of ERR slopes observed in relation to the elevational distribution of richness and historical biogeographic positioning. We found that families with greater Sundaland endemism, or richness that was restricted to tropical lowland forests, had positive ERR slopes. Families with stronger Sahul affiliation, or montane centered richness, had shallower, neutral, or negative ERR slopes, as did clades with temperate origins. Families with Wallacea affiliation, broader latitudinal or elevational distributions, cosmopolitanism, greater richness, or older evolutionary age had mixed results. We conclude that the relative steepness of an ERR slope is an indicator of a taxonomic group's tolerance of habitat variation and vulnerability to contemporary climate change.</p>
Biogeographical patterns of butterworts in the Americas
<p>Datasets used for biogeographical analyses of the genus <em>Pinguicula</em> in the American continents.</p>
Richness and resilience in the Pacific: DNA metabarcoding enables parallelized evaluation of biogeographic patterns
<p><span>Islands make up a large proportion of Earth's biodiversity, yet are also some of the most sensitive systems to environmental perturbation. Biogeographic theory predicts that geologic age, area, and isolation typically drive islands' diver</span><span>sity patterns, and thus potentially impact non-native spread and community homogenization across island systems. One limitation in testing such predictions has been the difficulty of performing comprehensive inventories of island biotas and distinguishing native from introduced taxa. Here, we use DNA metabarcoding and statistical modeling as a high throughput method to survey community-wide arthropod richness, the proportion of native and non-native species, and the incursion of non-natives into primary habitats on three archipelagos in the Pacific - the Ryukyus, the Marianas and Hawaii - which vary in age, isolation and area. Diversity patterns largely match expectations based on island biogeography theory, with the oldest and most geographically connected archipelago, the Ryukyus, showing the highest taxonomic richness and the lowest proportion of introduced species. Moreover, we find evidence that forest habitats are more resilient to incursions of non-natives in the Ryukyus than in the less taxonomically rich archipelagos. Surprisingly, we do not find evidence for biotic homogenization across these three archipelagos: the assemblage of non-native species on each island is highly distinct. Our study demonstrates the potential of DNA metabarcoding to facilitate rapid estimation of biogeographic patterns, the spread of non-native species, and the resilience of ecosystems.</span></p>
Biogeographic patterns in the Chocó region: A case study of Inga Mill (Leguminosae)
<p>This thesis addresses the Chocó region, recognized as one of the wettest, most biodiverse, and least documented areas on Earth. Here, I present a new ecological delimitation of the Chocó, integrating climatic and geographical data. The proposed area differs from previous delimitations because it includes geographically contiguous and climatically similar rain forests distributed throughout southern Panama, the Colombian Pacific, the humid system of the Magdalena River in northern Colombia, and northern Ecuador, covering an area of 162,800km². The genus <em>Inga</em> (Leguminosae: Caesalpinioideae) is employed as a model to elucidate the biogeographic patterns driving the historical assembly of the flora in this region. While the diversity of the Chocó is explained by its isolation by the Andean cordillera, and it has been classified as the oldest and most isolated Pleistocene refuge in the Neotropics, recent studies suggest plant migration as a complementary phenomenon enhancing its floristic diversity. <em>Inga</em>’s species diversity is concentrated in the Amazon basin (145 species), yet its presence in the Chocó is scantily studied and here I show 78 species and morphological variants of species to be present in the Chocó, nearly doubling estimates in recent taxonomic accounts. This new estimate of species number for the Chocó is based on fieldwork, taxonomic studies of herbarium specimens and phylogenetic analysis of target-capture DNA sequences. Biogeographic analysis using BioGeoBears highlights the role of both dispersal and <em>in-situ</em> speciation in developing the species diversity of Inga in the Chocó after first colonization approximately 10 million years ago. Finally, two new species of <em>Inga</em> (<em>Inga calimaensis</em> and <em>Inga crassanectaria</em>), endemic to the Chocó are described. This study contributes to understanding both the diversification of the flora of the Chocó and refining the taxonomy of the genus <em>Inga</em>.</p>
Figure. Maps of Turkish provinces and regions. in Checklist of Turkish Raphidioptera on the basis of distribution pattern and biogeographical analysis
Figure. Maps of Turkish provinces and regions.
Data from: The biogeographical patterns of species richness and abundance distribution in stream diatoms are driven by climate and water chemistry
In this inter-continental study of stream diatoms, we asked three important but still unresolved ecological questions: 1) What factors drive the biogeography of species richness and species abundance distribution (SAD); 2) Are climate-related hypotheses, which have dominated the research on the latitudinal and altitudinal diversity gradients, adequate in explaining spatial biotic variability; and 3) Is the SAD response to the environment independent of richness? We tested a number of climatic theories and hypotheses (i.e., the species-energy and the metabolic theory; and the energy variability and the climatic tolerance hypothesis) but found no support for any of these concepts as the relationships of richness with explanatory variables were non-existent, weak or unexpected. Instead, we demonstrated that diatom richness and SAD evenness generally increased with temperature seasonality and at mid- to high total phosphorus concentrations. The spatial patterns of diatom richness and the SAD—mainly longitudinal in the US, but latitudinal in Finland—were defined primarily by the covariance of climate and water chemistry with space. The SAD was not entirely controlled by richness, emphasizing its utility for ecological research. Thus, we found support for the operation of both climate and water chemistry mechanisms in structuring diatom communities, which underscores their complex response to the environment and the necessity for novel predictive frameworks.
Data for: Biogeographic pattern of living vegetation carbon turnover time in mature forests across continents
<p class="MsoNormal"><strong><span>Aim: </span></strong><span>Theoretically, woody biomass turnover time (τ</span><span>) </span><span>quantified using </span><span>outflux (i.e., tree mortality)</span><span> predicts biomass dynamics better than using influx (i.e., productivity).</span> <span>This study aims at using forest inventory data to empirically test the outflux approach and generate a spatially explicit understanding of woody </span><span>τ</span><span> </span><span>in mature forests. We further compared woody τ</span><span> </span><span>estimates with dynamic global vegetation models (DGVMs) and with a data assimilation product of C stocks and fluxes - CARDAMOM.</span></p> <p class="MsoNormal"><strong><span>Location:</span></strong> <span>Continents</span></p> <p class="MsoNormal"><strong><span>Time period:</span></strong> <span>Historic from </span><span>1951 to 2018</span></p> <p class="MsoNormal"><strong><span>Major taxa studied:</span></strong> <span>Trees and Forests</span></p> <p class="MsoNormal"><strong><span>Methods: </span></strong><span>We compared the approaches of using outflux vs. influx for estimating woody <span>τ</span></span><span> and predicting biomass accumulation rates. We investigated abiotic and biotic drivers of spatial woody <span>τ</span></span><span> and generated a spatially explicit map of woody <span>τ</span></span><span> at a 0.25-degree resolution across continents using machine learning. We further examined whether six DGVMs and CARDAMOM generally captured the observational pattern of woody <span>τ</span></span><span>. </span></p> <p class="MsoNormal"><strong><span>Results: </span></strong><span>Woody <span>τ</span></span><span> quantified by the </span><span>outflux approach </span><span>better (with R<sup>2</sup> 0.4-0.5) predicted the biomass accumulation rates than the influx approach (with R<sup>2</sup> 0.1-0.4) across continents. We found large spatial variations of woody <span>τ</span></span><span> for mature forests, with highest values </span><span>in temperate forests (</span><span>98.8 ± 2.6 y</span><span>) followed by boreal forests (73</span><span>.9 ± </span><span>3</span><span>.</span><span>6</span><span> y</span><span>) and tropical forests. The map of woody <span>τ</span></span><span> extrapolated from plot data showed higher values in wetter eastern and pacific coast USA, Africa and eastern Amazon. Climate (temperature and aridity index) and vegetation structure (tree density and forest age) were the dominant drivers of woody <span>τ</span></span><span> across continents. The highest woody <span>τ</span></span><span> in temperate forests were not captured by either DGVMs or CARDAMOM. </span></p> <p class="MsoNormal"><strong><span>Main conclusions:</span></strong><span> Our study </span><span>empirically demonstrated the preference of using outflux over influx to estimate woody <span>τ</span></span><span> for predicting biomass accumulation rates. The spatially explicit map of woody </span><span>τ</span><span> and the underlying drivers provide </span><span>valuable information to improve the representation of </span><span>forest demography and </span><span>carbon turnover processes in DGVMs.</span></p>
Data from: Revealing biogeographic patterns in genetic diversity of native and invasive plants and their association with soil community diversity in the Chinese coast
<p><span>Within-species genetic diversity is shaped by multiple evolutionary forces within the confines of geography, and has cascading effects on the biodiversity of other taxa and levels. Invasive species are often initially limited in genetic diversity but still respond rapidly to their new range, possibly through 'pre-adapted' genotypes or multiple sources of genetic diversity, but little is known about how their genetic structure differs from that of native species and how it alters the genetic-species diversity relationship.</span><span> Here, we selected a widespread native species (<em>Phragmites australis</em>) and its co-occurring invasive competitor (<em>Spartina alterniflora</em>) as our model plant species. We investigated the genetic structure of <em>P. australis</em> using two chloroplast fragments and ten nuclear microsatellites in 13 populations along the Chinese coastal wetlands. We discovered a distinct geographical differentiation, showing that the northern and southern populations harbored unique genotypes.</span><span> We also found a significant increase in genetic diversity (allelic richness and expected heterozygosity) from south to north. Combined with previous studies of <em>S. alterniflora</em>, </span><span>the Mantel tests revealed</span><span> a significant correlation of genetic distances between <em>P. australis </em>and<em> S. alterniflora</em> even when controlling for geographic distance,</span><span> suggesting that the invasive species <em>S. alterniflora</em> might exhibit a phylogeographic pattern similar to that of the native species to some extent. Furthermore, our results suggest that the <em>S. alterniflora </em>invasion has altered the relationship between the genetic diversity of the dominant native plant and the associated species richness of soil nematodes. The reason for the alteration of genetic-species diversity relationship might be that the biological invasion weakens the environmental impact on both levels of biodiversity. Our findings contribute to understanding the latitudinal patterns of intraspecific genetic diversity in widespread species. This work on the genetic diversity analysis of native species also provides significant implications for the invasion stage and ecological consequences of biological invasions.</span></p>
Data from: Human eutrophication drives biogeographic saltmarsh productivity patterns in China
Open the record for dataset details and reuse information.
Biogeographic affiliation and centers of richness as predictors of elevational range-size patterns for Malesian flora
Open the record for dataset details and reuse information.
Data from: Revealing biogeographic patterns in genetic diversity of native and invasive plants and their association with soil community diversity in the Chinese coast
Open the record for dataset details and reuse information.
Shifting speciation mode and biogeographic patterns during the Late Ordovician (Sandbian-Katian) in Laurentian brachiopods (Atrypida, Anazygidae)
Open the record for dataset details and reuse information.
Data from: Biogeographical patterns in the seasonality of bird collisions with aircraft
Open the record for dataset details and reuse information.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.