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419 results for “elevation gradients”
Fig. 1 in Patterns of Bird Diversity and Endemism Along an Elevational Gradient in the Southern Mexican Highlands.
Fig. 1. Geographic location of the (a) state of Guerrero in southern Mexico and (b) sampling sites (white triangles) within the Sierra Madre del Sur (red polygon). The nearest human settlements to each study site are shown as green stars.
Fig. 3 in Patterns of Bird Diversity and Endemism Along an Elevational Gradient in the Southern Mexican Highlands.
Fig. 3. Endemic bird species richness (q0) along an elevational gradient in the Sierra Madre del Sur in southern Mexico.
Fig. 6 in Patterns of Bird Diversity and Endemism Along an Elevational Gradient in the Southern Mexican Highlands.
Fig. 6. Faunal congruence curves for endemic bird species along an elevational gradient in the Sierra Madre del Sur in southern Mexico.
A Long-Term Micrometeorological and Hydrological Dataset Across an Elevation Gradient in Sagehen Creek, Sierra Nevada, California
<p>We compile and release ~55 years of daily and ~20 years of hourly Micrometeorological and hydrological data from Sagehen Creek a 28 km〖^2〗 watershed with observation sites spanning 1771 to 2670 m. A USGS gauging station measures streamflow at the catchment outlet. There are three Snow Telemetry (SNOTEL) stations: Independence Camp(2128 m), Independence Creek (1962 m) and Independence Lake (2541 m) that measure hourly precipitation, temperature, soil moisture (at 5, 20, and 50 cm), as well as daily snow water equivalent (SWE) and snow depth. A new method was used to estimate hourly precipitation data using quality controlled daily totals. A NOAA cooperative observer (COOP) station measures daily precipitation, temperature, SWE, and snow depth from 1953-1997 and then measures hourly precipitation, temperature, SWE, and snow depth, relative humidity, and solar radiation from 2001 through 2017 2001-present. There are an additional three towers with data beginning in 2009 measuring snow depth, SWE, solar radiation, barometric pressure, precipitation, relative humidity, and temperature: Tower 1 (1934m), Tower 3 (2114 m), and Tower 4 (2350 m). Wind speed, temperature, and relative humidity measured at 7.6 and 30.5 m at each site. Data from all stations were checked for poor QA/QC and substantial and sophisticated gap-filling techniques were deployed. This dataset holds potential for improving understanding of orographic processes and their implications for streamflow generation in a groundwater-dominated watershed.</p>
Figure 1 in Environmental predictors for the distribution of the Caspian green lizard, Lacerta strigata Eichwald, 1831, along elevational gradients of the Elburz Mountains in northern Iran
Figure 1. Map of Iran. Colors indicate elevation and dots indicate occurrence of the Caspian green lizard (Lacerta strigata). Dots show presence of records for the species. The square shows the locality of the occurrence near Shiraz.
Figure 4 in Environmental predictors for the distribution of the Caspian green lizard, Lacerta strigata Eichwald, 1831, along elevational gradients of the Elburz Mountains in northern Iran
Figure 4. Response curves showing how the distribution of Lacerta strigata is affected by the environmental variables. Response curves were created using the GLM model. Dots are presences (at habitat suitability = 1) and absences (at habitat suitability = 0). Lacerta strigata was photographed in its natural habitat in the Elburz Mountains by Anooshe Kafash.
Figure 1 in New species and new records of Aphelinus Dalman (Hymenoptera: Chalcidoidea: Aphelinidae) from Lagodekhi Reserve (Sakartvelo - Georgia), with diversity and distribution along an elevational gradient
Figure 1. Aphelinus lagodekhiensis sp. nov.: a, ♀ head and antenna; b, ♀ body; c, ♀ thorax; d, ♀ forewing.
Figure 4 in New species and new records of Aphelinus Dalman (Hymenoptera: Chalcidoidea: Aphelinidae) from Lagodekhi Reserve (Sakartvelo - Georgia), with diversity and distribution along an elevational gradient
Figure 4. Species abundance (black circles) and richness of Aphelinus along a temporal scale. Trend lines represent secondorder OLS regressions (abundance R2 = 0.83, P <0.01; richness R2 = 0.61, P <0.01).
Fig. 3 in Amphibian diversity and conservation along an elevational gradient on Mount Emei, southwestern China
Fig. 3. Local and overall elevational ranges for each amphibian species. For each species, the local elevational range is the maximum minus minimum elevation on Mount Emei (gray box or vertical line), and the overall elevational range size is the published elevational range covering the whole distribution range (the horizontal line).
Fig. 2 in Amphibian diversity and conservation along an elevational gradient on Mount Emei, southwestern China
Fig. 2. The numbers of total and threatened species (bars) and elevational patterns of species richness (curves). Regression lines show total species richness (black) and threatened species richness (red) based on the polynomial regression models, with threatened status counts referring to the IUCN Red List (A) and the China Biodiversity Red List (B).
Fig. 1 in Amphibian diversity and conservation along an elevational gradient on Mount Emei, southwestern China
Fig. 1. (A) Geographic location of Mount Emei; (B) topographic overview of sample sites; and dominant vegetation types and typical habitats along the elevational gradient at (C) 500 m, (D) 1,300 m, and (E) 3,050 m. Sampling sites are indicated with red stars (see Appendix 1 for details).
Fig. 4 in Reproductive life history of Heterandria bimaculata (Heckel, 1848) (Poeciliinae: Poeciliidae) in the Honduran interior highlands: trait variation along an elevational gradient
Fig. 4. Changes in reproductive traits of female Heterandria bimaculata along an elevational gradient in Cusuco National Park, Honduras in summer 2013. Points represent actual values. Dashed lines represent fitted means from linear mixed models, accounting for nested effects of individual variability within sites, and total length of individuals. No fitted line is presented for reproductive allotment because this variable did not change significantly along the elevational gradient.
Fig. 3 in Reproductive life history of Heterandria bimaculata (Heckel, 1848) (Poeciliinae: Poeciliidae) in the Honduran interior highlands: trait variation along an elevational gradient
Fig. 3. Changes in physicochemical parameters of streams along an elevation gradient in Cusuco National Park, Honduras in summer 2013.
Fig. 2 in Reproductive life history of Heterandria bimaculata (Heckel, 1848) (Poeciliinae: Poeciliidae) in the Honduran interior highlands: trait variation along an elevational gradient
Fig. 2. Relationships between male and female body weights, embryo counts, ovary weights and total length of Heterandria bimaculata in Cusuco National Park, Honduras in summer 2013.
Fig. 1 in Reproductive life history of Heterandria bimaculata (Heckel, 1848) (Poeciliinae: Poeciliidae) in the Honduran interior highlands: trait variation along an elevational gradient
Fig. 1. (A) Mainland Central America, with a square representing the inset of (B), Cusuco National Park (gray) within the río Motagua (Guatemala) and río Chamelecón/Ulúa (Honduras) basins. (C) Sites (black dots) sampled from upstream to downstream on 6 tributaries to the río Motagua (west side) and río Ulua (east side) in Cusuco National Park, Honduras, Central America.
Resources and seasonality drive the composition of mixed-species bird flocks along an elevational gradient in the Himalaya
<p><span>Mixed-species bird flocks are cohesive networks of interacting insectivorous bird species that benefit from reduced predation risk and/or enhanced resource access. We studied how species' propensity to participate in mixed flocks, and the number and strength of interspecific associations within flocks, changed along elevational (low, mid, high) and seasonal (winter, spring) gradients in the western Himalaya. We expected species to have high propensities, and greater number and strength of interspecific associations when resources are scarce, and to decline when resources are abundant. We first used species occurrence within and outside mixed flocks to calculate species-specific flocking propensity and then performed network analyses to quantify the proportion of realized interspecific associations (network density) and their strength (weighted degree), using an abundance-based null model to control flocking species' availability. Further, we quantified arthropod prey availability in winter by using a branch bagging technique. Insect availability and arthropod diversity decreased with increasing elevation in winter and species' flocking propensities, network densities and weighted degrees increased with elevation, possibly to benefit from facilitative interactions that increase foraging success. In spring, as more resources become available and/or bird start investing more time in breeding, flocking propensities, network densities and species' weighted degrees declined at all elevations when compared with winter. During resource-scarce periods, species might find solitary foraging prohibitive because of reduced resource access and costs of vigilance therefore leading to the formation of networks of facilitative associations.</span></p>
Changes in community-weighted trait mean, functional diversity, precipitation, temperature and surface area along an elevational gradient in Tenerife, Canary Islands
<p>This dataset comprises community-weighted trait means and functional diversity of leaf traits, precipitation, temperature and surface area of the elevational belt recorded in roadside (disturbed) and interior (less disturbed) plots, along an elevational gradient of 2,300 m in Tenerife, Canary Islands. The leaf traits measured were specific leaf area (SLA), nitrogen, carbon, phosphorous, nitrogen to carbon ratio, leaf dry matter content (LDMC), sodium, potassium and magnesium. The environmental variables measured are total precipitation of the growing season, mean temperature of the growing season and surface area of the elevation belt. This dataset has been used for the analysis presented in Ratier Backes et al. (in press). Mechanisms behind elevational plant species richness patterns revealed by a trait-based approach. <em>Journal of Vegetation Science</em>.</p>
FIG. 6 in A small elevational gradient shows negative bottom-to-top bryophyte richness in a seasonally dry forest in Brazil
FIG. 6. — Bryophytes species distributions along an elevational gradient in Catimbau National Park according to life history traits: A, light requirements; B, life-forms. TABLE 3. — Spearman (Rs) correlation table between life history traits showing that light demanding and life-forms are correlated with the species richness in base and top of elevational gradient, respectively. Italic font indicates Spearman value and normal font indicates Spearman coefficient (Rs). P-value in bold are significant (p <0.05).
FIG. 3 in A small elevational gradient shows negative bottom-to-top bryophyte richness in a seasonally dry forest in Brazil
FIG. 3. — The effects of altitude decomposed into three elevational belts on bryophyte richness. Model based on the Poisson distribution and log connection method for unprocessed data. Own illustration: Fabronia ciliaris (Brid.) Brid.
FIG. 5 in A small elevational gradient shows negative bottom-to-top bryophyte richness in a seasonally dry forest in Brazil
FIG. 5. — Principal Component Analysis (PCA) based on the substrates colonized along elevational gradient in Catimbau National Park.
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.