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1,445 results for “species richness.”
Fig. 2 in Geographic variation in the relationship between large-scale environmental determinants and bat species richness
Fig. 2. Distribution of coefficients of determination (R2) of GWR for the analysis of bat species richness regressed on the predictors of the three environmental hypotheses combined.
Fig. 1 in Geographic variation in the relationship between large-scale environmental determinants and bat species richness
Fig. 1. Global pattern of bat species richness. Legend corresponds to the number of bat species per 2◦ × 2◦ grid cell. Letters represent the zoogeographic realms (Holt et al. 2013): Na = Nearctic, P = Panamanian, Nt = Neotropical, Pa = Palearctic, Sa = Saharo-Arabian, At = Afrotropical, M = Madagascan, Or = Oriental, Au = Australian, Sj = Sino-Japanese, Oc = Oceanian.
Fig. 3 in Geographic variation in the relationship between large-scale environmental determinants and bat species richness
Fig. 3. Spatial non-stationarity in the effect (R2) of the predictors of the three environmental hypotheses combined to explain the global pattern of bat species richness.
Infrastructure and the ethnographic-cartographic production of urban bird species richness
<p>The qualitative bio-geographies of human geographers and the quantitative mappings of biogeographers share a goal: how to understand living with non-human life. Yet they rarely bridge the conceptual and methodological gap between them. This paper theorizes how the concept of infrastructure can bridge this ethnographic-cartographic divide. Infrastructure is not just an inanimate shell. It is also a system of relation, a dynamic patterning of socionatural form emerging out of the experiences and affective moments of its constituents. As a proof of concept, we quantified and compared urban bird species richness and frequency for Tallahassee, Florida over a 17-year period (2000–2017) for two co-occurring observational infrastructures, eBird and a wildlife rehabilitation center that serves the city. Species common to both infrastructures comprised 94% of all eBird observations and 99% of all rehab records. Their differences reflected contrasts in how the motivations for experiencing birds intersected with bird habitat preferences, behavior, and contingencies of urban history and development. eBird observations had high species richness (295 spp) and reflected the growing popularity among birds and a small number of active birders for visiting stormwater retention lakes recently modified to improve bird habitat. Rehabilitation records had a lower richness (194 spp) and exhibited a much more even distribution of bird encounters among individual residents as well as community institutions like schools, universities, law enforcement, and other government organizations. Infrastructural perspectives convey how affective and individualistic encounters with non-humans can link to emergent biogeographic mappings and how urban biodiversity is relationally and heterogeneously produced rather than simply contained in cities. </p>
Riparian land-cover data and model code for: Multiple-region, N-mixture community models to assess associations of riparian area, fragmentation, and species richness
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Data from: Postwar wildlife recovery in an African savanna: Evaluating patterns and drivers of species occupancy and richness
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Worldwide evidence of a unimodal relationship between productivity and plant species richness
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Data from: Long-term monitoring data provide evidence of declining species richness in a river valued for biodiversity conservation
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Data from: Ecological, evolutionary and human-mediated determinants of poeciliid species richness on Caribbean islands
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The higher species richness of calcareous than siliceous communities is explained by lower competition in grasslands but higher facilitation in forests
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Data from: Neighbour species richness and local structural variability modulate aboveground allocation patterns and crown morphology of individual trees
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Small mammal species richness and turnover along elevational gradient in Yulong Mountain, Yunnan, Southwest China
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Data from: Species richness and patterns of overdispersion, clustering and randomness shape phylogenetic and functional diversity-area relationships in habitat islands
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Environmental heterogeneity predicts global species richness patterns better than area
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Data from: Persistence at the final stage of volcanic island ontogeny: abiotic predictors explain native plant species richness on 111 remote Pacific atolls
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Data from: Age and area predict patterns of species richness in pumice rafts contingent on oceanic climatic zone encountered
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Data from: Predicting spatial patterns of plant species richness: a comparison of direct macroecological and species stacking modelling approaches
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Assessing mammal species richness and occupancy in a Northeast Asian temperate forest shared by cattle
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Richness, not evenness, of invasive plant species promotes invasion success into native plant communities via selection effects
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Tree species richness and soil organic carbon stock
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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.