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Fig. 2 in Influence of rainfall regime in the Cerrado biome on the maintenance of traps built by Myrmeleon brasiliensis (Navás) (Neuroptera: Myrmeleontidae) larvae and the morphology of adults
Fig. 2. Displacement of Myrmeleon brasiliensis (Návas, 1914) larvae after rain simulation.
Anthropogenic pressure index on biomes (APIB): Nexus scenarios for Brazil 2040
<p>These new scenarios were created within the scope of the Thematic Project “Nexus – Transition to sustainability and the water-agriculture-energy nexus: exploring an integrative approach with case studies in the Cerrado and Caatinga biomes” (FAPESP - 2022/05856-0 and 2017/22269-2). For more information, visit: https://nexus.ccst.inpe.br/publicacao/ and https://zenodo.org/records/10197094.</p> <p> </p> <p><strong>Data</strong></p> <p>Anthropogenic Pressure Index on Biomes (APIB) value.</p> <p> </p> <p><strong>Spatial resolution</strong></p> <p>The data is available at a spatial resolution of 100 km² and covers the entire Brazilian territory.</p> <p> </p> <p><strong>Temporal resolution </strong></p> <p>Period of observed data: 2020</p> <p>Scenario Period: 2025, 2030, 2035 and 2040</p> <p> </p> <p><strong>Coordinate reference system</strong> </p> <p>Geographic Coordinate System with Datum SIRGAS 2000 (EPSG:5880)</p> <p> </p> <p><strong>Data format</strong></p> <p>Data is provided as Shapefile.</p> <p> </p> <p><strong>Dataset usage</strong> </p> <p>It is free to use, but please make sure to cite the repository and our paper properly if you use this dataset.</p> <p>F. G. S. Bezerra, <em>et al.</em>, Spatio-temporal analysis of dynamics and future scenarios of anthropic pressure on biomes in Brazil. <em>Ecol Indic</em> <strong>137</strong> (2022). https://doi.org/10.1016/j.ecolind.2022.108749</p> <p> </p> <p><strong>Publication & further information</strong></p> <p>For additional scenario information, please contact Francisco Gilney Silva Bezerra (franciscogilney@gmail.com).</p> <p> </p> <p><strong>Acknowledgments</strong></p> <p>The authors would like to thank the São Paulo Research Foundation (FAPESP, project number 2022/05856-0, 2017/22269-2 and Nexus Project) for their support in the development of this study.</p>
Genomic data from the Brazilian sibilator frog reveals contrasting Pleistocene dynamics and regionalism in two South American dry biomes
<p><b>Aim: </b><span>Knowledge about the Neotropical dry formations, particularly the Caatinga, remains rudimentary compared to other biotas in the region. Here we address several biogeographical hypotheses by combining intense geographic and genomic sampling obtained for the Brazilian sibilator frog. We specifically test predictions related to the putative roles of past climate shifts (Pleistocene and Holocene) and local geographic barriers (past and current courses of the São Francisco river, SFR) in causing population differentiation in this species.</span></p> <p><b>Location</b>: Caatinga and eastern Cerrado.</p> <p><b>Taxon</b>: Brazilian sibilator frog <i>Leptodactylus troglodytes.</i></p> <p><b>Methods</b>: We sequenced up to ~15,000 single nucleotide polymorphisms for 159 samples from 61 locations. We inferred genetic structure using spatial clustering and examined population sizes through time. We estimated the relationship among populations using phylogenetic reconstruction, estimated historical distributions with ecological niche modelling, and inferred demographic history under isolation-with-migration models.</p> <p><b>Results</b>: Genetic diversity in <i>L. troglodytes</i> corresponds to biome boundaries, with one population in the Cerrado and two populations in the Caatinga, separated by the SFR. Demographic model selection indicates the Caatinga populations expanded since the end of the Pleistocene while the Cerrado population declined. Within the Caatinga, population expansion began earlier and was more extreme in the north. A continuous stability area maintained the two Caatinga populations, which share a common origin and began diverging in the mid-Pleistocene, first with symmetric gene flow and later under pronounced migration from the north.</p> <p><b>Main Conclusions: </b><span>We could not reject a role of past climate change in causing diversification of relictual populations in the Cerrado, but we found no evidence of multiple refuges or long-term isolation within the Caatinga. Instead, diversification in this biome appears to be caused by the SFR acting as a "soft barrier" that constrains migration over an extended period of time.</span></p>
Determinants of associations between codon and amino acid usage patterns of microbial communities and the environment inferred based on a cross-biome metagenomic analysis
<p>Raw data set for npj Bioflims and Microbiome article: “Determinants of associations between codon and amino acid usage patterns of microbial communities and the environment inferred based on a cross-biome metagenomic analysis”</p>
Dataset for The effect of charcoal production on carbon cycling in African biomes
<p>LPJ-GUESS simulated carbon dynamics data for African biomes under different charcoal management regimes</p>
Figure 6 in Breeding biology of the Maguari Stork Ciconia maguari (Aves, Ciconiidae) in the Pampa, and an outline in other Brazilian biomes
Figure 6. Aspects of colonial nesting sites (ninhais) in which Maguari Storks (Ciconia maguari) built nests in the Pampa, Rio Grande do Sul state, southern Brazil. (A) a nest with two nestlings at Dilermando de Aguiar (photo by Thiago Weigert); (B) black young in nests at São Gabriel (photo by Felipe Almansa); (C) a nest with three black juveniles at Rosário do Sul (photo by Lauren Rumpel); (D) a general view, outside the breeding season, of a lake bordered by gray shrubs (yellow arrows) commonly used by Maguari Storks for nesting at Rosário do Sul (photo by Lauren Rumpel). Photographs were gathered in the WikiAves database, except for D.
Figure 3 in Breeding biology of the Maguari Stork Ciconia maguari (Aves, Ciconiidae) in the Pampa, and an outline in other Brazilian biomes
Figure 3. Seasonal occurrence of records of the Maguari Stork (Ciconia maguari) involving incubation, nestlings, and black young in the Pampa biome, in Rio Grande do Sul state, southern Brazil. Records were obtained by citizens and gathered in the WikiAves database in June 2020. Arabic numerals after each month represent 10-days long periods – (I): days 1-10, (II): days 11-20, (III): days 21-31 of each month.
Figure 7 in Breeding biology of the Maguari Stork Ciconia maguari (Aves, Ciconiidae) in the Pampa, and an outline in other Brazilian biomes
Figure 7. Geographic distribution of the Pampa biome (purple line) in the state of Grande do Sul state, with municipalities (black dots) in which records with documented evidences of breeding activities of the Maguari Stork (Ciconia maguari) were obtained by citizens in Brazil between 2007 and 2019. Records were gathered in the WikiAves database in June 2020. The blue color refers to areas of the continent reached by the water from the ocean.
Figure 2 in Breeding biology of the Maguari Stork Ciconia maguari (Aves, Ciconiidae) in the Pampa, and an outline in other Brazilian biomes
Figure 2. Juveniles of the Maguari Stork (Ciconia maguari) recorded by citizens in the Pampa, Rio Grande do Sul state, southern Brazil. (A) a black juvenile at Dom Pedrito (photo by Diego Oliveira); (B) a black juvenile at Dilermando de Aguiar (photo by Thiago Weigert); (C) an intermediate juvenile flying at Mostardas (photo by Clécio Gomides); (D) an intermediate juvenile at Caçapava do Sul (photo by Guilherme Durante); (E) a white juvenile flying at Júlio de Castilhos (photo by Firmino Costa); (F) a white juvenile at Rio Grande (photo by Rafael Weber). Records were gathered in the WikiAves database, except for A and B.
Figure 4 in Breeding biology of the Maguari Stork Ciconia maguari (Aves, Ciconiidae) in the Pampa, and an outline in other Brazilian biomes
Figure 4. Seasonal occurrence of records of the Maguari Stork (Ciconia maguari) involving juveniles in the Pampa biome, in Rio Grande do Sul state, southern Brazil. Records were obtained by citizens and gathered in the WikiAves database in June 2020. Arabic numerals after each month represent 10-days long periods – (I):– days 1-10, (II): days 11-20, (III): days 21-31 of each month. Ardea alba Linnaeus, 1758 and Cocoi Herons Ardea cocoi Maguari Storks in Brazil. The information generated by Linnaeus, 1766 (Fig. 6). them was substantially more detailed than that provided These tall shrubs used as substratum for nests were by previous studies in the Brazilian territory (e.g., Belton, located at boundaries between grasslands and artificial 1984; Antas, 2004; Moura, 2009). The small proportion lakes (Fig. 6D; Appendix). Two species could be identified. (2.4%) of breeding records within the whole set of pho- One nest was on higher parts of a Phyllanthus sellowi- tographic records of the species indicates that gathering anus (Klotzsch) Müll.Arg., Phyllanthaceae (WA3115322). further records by citizens or scientists over large spatial Another nest was built on a Sebastiania schottiana (Müll. scales will be a hard task. Reinforcing this is the approach Arg.) Müll.Arg., Euphorbiaceae (WA1460435). Both spe- by Moura (2009) in the Pampa, that involved searches cies are known regionally as sarandis, and were estimat- for nests through a range of interviews, questionnaires, ed as 2.5 m in height. and other communication actions by contacting citizens, No nests had exposed eggs. Two nests (9%) were emp- conservationists and scientists.
Figure 5 in Breeding biology of the Maguari Stork Ciconia maguari (Aves, Ciconiidae) in the Pampa, and an outline in other Brazilian biomes
Figure 5. Range of situations in which nests of the Maguari Stork (Ciconia maguari) were found occurring singly in Pampa landscapes, Rio Grande do Sul state, southern Brazil. (A) a ground nest in a wet grassland at Aceguá (photo by Cláudio Alves Branco); (B) a ground nest among sparse junquinhos plants within a wet grassland patch at Dom Pedrito (photo by Diego Oliveira); (C) a ground nest within a juncal vegetation patch within a grassland at Lavras do Sul (photo by Jonas John); (D) a ground nest among dense juncal vegetation within a lake at Quaraí (Photo by Cícero Corrêa); (E) an arboreal nest built on shrubs at Dilermando de Aguiar (Photo by Thiago Weigert); (F) a ground nest destroyed by the rising of the water level at Quaraí (photo by Cícero Corrêa). Records were obtained by citizens, and gathered in the WikiAves database in June 2020.
Figure 1 in Breeding biology of the Maguari Stork Ciconia maguari (Aves, Ciconiidae) in the Pampa, and an outline in other Brazilian biomes
Figure 1. Nestlings and black young of the Maguari Stork (Ciconia maguari) recorded by citizens in the Pampa, Rio Grande do Sul state, southern Brazil. (A) a nestling with black and white downy plumage at Quaraí (photo by Cícero Corrêa); (B) nestlings with black downy plumage at Dom Pedrito (photo by Diego Oliveira); (C) two black young in a nest at Cachoeira do Sul (photo by Remo Farina Junior); (D) a black young at Quaraí (photo by Cícero Corrêa). Records were gathered in the WikiAves database, except for B.
Global biome patterns of the Middle and Late Pleistocene
<p class="Maintext">Our primary aim was to assess the hypothesis that distinctive features of the patterns of vegetation change during successive Quaternary glacial–interglacial cycles reflect climatic differences arising from forcing differences. We addressed this hypothesis using 207 half-degree resolution global biome pattern simulations, for time slices between 800 ka and 2 ka, made using the LPJ-GUESS dynamic global vegetation model. Simulations were driven using ice-core atmospheric CO<sub>2</sub> concentrations, Earth's obliquity, and outputs from a pre-industrial and 206 palaeoclimate experiments; four additional simulations were driven using projected future CO<sub>2</sub> concentrations. Climate experiments were run using HadCM3. Using a rule-based approach, above-ground biomass and leaf area index of LPJ-GUESS plant functional types were used to infer each grid cell's biome. The hypothesis is supported by the palaeobiome simulations.</p> <p class="Indentedmaintext">To enable comparisons with the climatic forcing, multivariate analyses were performed of global vegetation pattern dissimilarities between simulations. Results showed generally similar responses to glacial–interglacial climatic variations during each cycle, although no two interglacials or glacials had identical biome patterns. Atmospheric CO<sub>2</sub> concentration was the strongest driver of the dissimilarity patterns. Dissimilarities relative to the time slice with the lowest atmospheric CO<sub>2</sub> concentration show the log–linear relationship to atmospheric CO<sub>2</sub> concentration expected of an index of ecocarbon sensitivity.</p> <p class="Indentedmaintext">For each simulation, extent and total above-ground biomass of each biome were calculated globally and for three longitudinal segments corresponding to the major continental regions. Mean and minimum past extents of forest biomes, notably Temperate Summergreen Forest, in the three major continental regions strongly parallel relative tree diversities, hence supporting the hypothesis that past biome extents played an important role in determining present diversity.</p> <p class="Indentedmaintext">Albeit that they reflect the climatic consequences only of the faster Earth system components, simulated potential future biome patterns are unlike any during the past 800 ky, and likely will continue to change markedly for millennia if projected CO<sub>2</sub> concentrations are realised.</p>
Geographical trends of soil-associated biodiversity changes due to tree plantations in South America: biome and climate constraints revealed through meta-analysis
<p><strong>Aim</strong></p> <p>Evaluate the interaction between climate and biome structure when explaining changes in species richness of soil-associated communities due to tree plantations developed in different biomes. Compare the response of plants, soil invertebrates, and soil microorganisms, and test whether they should be considered sensitive-coupled biotas. Location Continental South America.</p> <p><strong>Time period</strong></p> <p>1996–2023 </p> <p><strong>Major taxa studied </strong></p> <p>Plants, soil invertebrates and soil microorganisms </p> <p><strong>Methods </strong></p> <p>Through a meta-analysis, the change in species richness (i.e., response ratio) associated with tree plantations was evaluated in 127 points of study across South America, considering soil-associated communities of plants, invertebrates and microorganisms. The influence of biome structure (open vs. closed habitats) on the response ratio and its interaction with the actual evapotranspiration (AET) and temperature seasonality was evaluated. Differentiated responses of different taxa were tested by comparing models with and without an interaction term referring to the taxon studied. The regional agricultural cover and plantation age were considered as anthropogenic variables.</p> <p><strong>Results </strong></p> <p>Models containing the AET were better at explaining the trend of change in species richness than those with temperature seasonality. The response to the change in species richness was oppositely related to the AET in open and closed biomes. Plants presented a higher loss in species richness than soil invertebrates and microorganisms. The three taxa were positively associated with AET, while seasonality was not relevant in any case. Both anthropogenic variables significantly lessened the change in species richness in all models. </p> <p><strong>Main conclusions</strong></p> <p>The structural contrast between the anthropogenic habitat and the biome where it is developed is a key factor influencing the response of soil-associated communities to tree plantations. Nevertheless, its influence must be assessed together with climatic and anthropogenic variables given that their interaction can explain different geographical trends in the change in species richness across regions.</p>
Forest net biome exchange and carbon stock projections by the regions of mainland Finland
<p>Forest net biome exchange and carbon stock projections with uncertainty by regions of the mainland Finland over period 2015-2050. Projections under three climate scenarios, RCP2.6, RCP4.5, and RCP8.5, and four harvest scenarios - BaseHarv (historical average harvest level of the years 2015-2021), slightly more intensive harvests MaxHarv (1.2 x BaseHarv), lower harvest intensity LowHarv (0.6 x BaseHarv) and no harvests after the year 2021 NoHarv - for each administrative region (NUTS3), and as aggregated from all the regions to the whole country, are given. The files contain mean value and 2.5%, 5%, 25%, 75%, 95% and 97.5% quantiles of the average Net Biome emissions (file <em>NBEave.xlsx</em>) and total carbon stock (file <em>Cstockave.xlsx</em>). The forest areas (forest land and poorly productive forest land, excluding undrained peatlands), and areas of mineral soils and drained organic soils for each region and the whole mainland of Finland are given in file <em>areas.xlsx</em>.</p> <p>Description of the used data and methods are given in article:<br> Junttila, V., Minunno, F., Peltoniemi, M. <em>et al.</em> Quantification of forest carbon flux and stock uncertainties under climate change and their use in regionally explicit decision making: Case study in Finland. <em>Ambio</em> (2023). <a href="https://doi.org/10.1007/s13280-023-01906-4">https://doi.org/10.1007/s13280-023-01906-4</a></p>
Clinical Trial of the BioMed rTSST-1 Variant Vaccine in Healthy Adults
ClinicalTrials.gov study NCT02814708. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Biomes as evolutionary arenas: convergence and conservatism in the trans-continental Succulent Biome
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Systematic review of field research reveals critical shortfalls for restoration of tropical grassy biomes
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Data from: Advancing transdisciplinary research on Madagascar's grassy biomes to support resilience in ecosystems and livelihoods
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Data from: Biological traits and biome features mediate responses of terrestrial bird demography to droughts
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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.