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78 results for “habitat survey”
Pika habitat occupancy survey data for Niwot Ridge and Green Lakes Valley, 2016 - ongoing
Long-term monitoring of habitat occupancy can reveal patterns of habitat use, population dynamics, and factors controlling species distribution. The American pika (Ochotona princeps), a small mammal found in rocky habitats throughout western North America, has been targeted for occupancy studies due to its relatively conspicuous behavior and its unusual adaptations for surviving long, cold winters without hibernation. These adaptations include an unusually high resting metabolic rate and maintenance of body temperatures near the lethal maximum for this species, which would appear to compromise the pika's ability to survive warmer summers. Recent monitoring as well as projections based on future climate scenarios have suggested this species is experiencing a period of range retraction due to warming summers and/or loss of insulating winter snow cover. Niwot Ridge is situated ideally to test competing hypotheses about the trajectory and drivers of pika range shift. The pika is still common throughout the Colorado Rockies, but published models differ markedly regarding projections of the pika’s future distribution in this region. Niwot Ridge has experienced warmer summers as well as shorter periods of insulating snow cover in recent years, and there is evidence that pikas are now less common than they once were in at least one area on the ridge. This study is designed to provide robust data on pika population trends through long-term monitoring of occupancy in a spatially balanced random sample of pika habitat patches centered on Niwot Ridge. Survey plots (n = 72) were selected according to a Generalized Random-Tessellation Stratified (GRTS) algorithm, stratified dichotomously by elevation, average annual snow accumulation (SWE), and probabilities of pika occurrence based on previous data. Each plot extends 12 m in radius from a GRTS point. To ensure that each plot contains at least 10% cover of talus, plot coordinates were adjusted (usually less than 50 m) or replaced
Distribution and habitat use of juvenile Feather River salmonids: 25 years and ongoing of snorkel surveys
Since 1999, the California Department of Water Resources (DWR) has conducted annual snorkel surveys to monitor juvenile salmon on the Feather River. The objective of this data collection effort is to determine the relative abundance and distribution of rearing juvenile Chinook salmon and steelhead. A secondary objective is to collect baseline data for future monitoring programs associated with habitat restoration projects. Crews survey units within 20 sampling sections on the high flow (HFC) and low flow channel (LFC) between January and September and collect information on species, fish size, substrate, cover, and habitat type. This dataset represents an extensive time series that could be used to identify habitat conditions where juvenile Chinook salmon and steelhead occur and how these conditions have changed over time. These data were published to support the Healthy Rivers and Landscapes Program.
Lake Superior NERR, Black Ash Habitat and Breeding Bird Survey, St. Louis River Estuary, WI, 2021
This dataset documented breeding bird communities within black ash forest stands along the shores of the St. Louis River Estuary in 2021. Breeding bird abundance was measured across multiple black ash stands that varied in canopy cover percent, understory density, and overall structural complexity. Data from this work supports the Lake Superior National Estuarine Research Reserve and collaborating partners in their ongoing ecological monitoring and habitat management in the St. Louis River Estuary. Data could be compiled with other regional breeding bird surveys or forestry data.
Survey of pond habitats and aquatic diversity of Madison, Wisconsin from May to Aug 2019 and 2020 Data Set
1) Urbanization may lead to changes in local richness (alpha diversity) or in community composition (beta diversity), although the direction of change can be challenging to predict. For instance, introduced species may offset the loss of native specialist taxa, leading to no change in alpha diversity in urban areas, but decreased beta diversity (i.e., more homogenous community structure). Alternatively, because urban areas can have low connectivity and high environmental heterogeneity between sites, they may support distinct communities from one another over small geographic distances. 2) Wetlands and ponds provide critical ecosystem services and support diverse communities, making them important systems in which to understand consequences of urbanization. To determine how urban development shapes pond community structure, we surveyed 68 ponds around Madison, Wisconsin, USA, which were classified as urban, greenspace, or rural based on surrounding land use. We evaluated the influence of local abiotic factors, presence of nonnative fishes, and landscape characteristics on alpha diversity of aquatic plants, macroinvertebrates, and vertebrates. We also analyzed whether surrounding land cover was associated with changes in community composition and/or the presence of specific taxa. 3) We found a 23% decrease in mean richness (alpha diversity) from rural to urban pond sites, and a 15% decrease in richness from rural to urban greenspace pond sites. Among landscape factors, observed pond richness was negatively correlated with adjacent developed land and mowed lawns, as well as greater distances to other waterbodies. Among pond level factors, habitat complexity was associated with increased richness, while the presence of invasive fish was associated with decreased richness. 4) Beta diversity was relatively high for all ponds due to turnover in composition between sites. Urban ponds supported more introduced species, lacked a subset of native species found in rural ponds,
Vegetation Survey on the Virginia Barrier Islands - Species by habitat, 1974
This dataset contains observations by Cheryl McCaffrey during a 1974 mapping of the vegetation on the barrier islands of the Virginia Coast Reserve (McCaffrey, CA, Dueser RD. 1990. Preliminary Vascular Flora for the Virginia Barrier Islands. Va. J. Sci.. 41:259-281. http://www.vacadsci.org/vjsArchives/V41/41-4A/p259.pdf) It also includes additional observations by Terry Cook on Hog Island in 1989. Note, because the primary purpose of this survey was mapping, species are listed if they were observed, but no extraordinary efforts were made to list all species on a particular island. Thus, an observation indicates that a species was there, but lack of an observation does not necessarily mean that the species was absent.
Common Raven (Corvus corax) Occupancy Survey and Habitat Selection Data in Cliff Habitat of the Central Appalachian Region, USA, 2009-2010
We identified 24 cliff sites across four states of the Central Appalachian Region of the eastern USA (Kentucky, North Carolina, Virginia, and West Virginia) with known raven occupancy at which to perform occupancy surveys for estimating detection probability and the effects of covariates. We surveyed each cliff site 2-4 times in either 2009 or 2010 and recorded time-to-first detection and time to confirmed cliff occupancy during a two-hour survey. Daily surveys were completed between 06:00 and local solar noon. During each survey, we recorded covariates, including air temperature at survey start time, cloud cover, wind speed, and day of year. We also calculated the distance of the observation point from the cliff being surveyed and the forest cover around the cliff. We also collected data thought to be pertinent for habitat selection by ravens on 26 cliffs occupied by ravens and 26 cliffs deemed unoccupied by ravens in 2010. For each cliff, we measured cliff physiographic characteristics, such as cliff length, cliff height, and occlusion by vegetation, and landscape characteristics, including percent forest and urban cover around the cliff and distances from the cliff to the nearest road and human habitation.
Data: "Using butterfly survey data to model habitat associations in urban developments", JEJ Cooper et al., (2023)
<p>This data package has been used to examine the responses of UK butterfly species </p> <p>to different features of the urban environment. 'JC_WCBSmodel.Rdata' presents the</p> <p>butterfly abundance data, and supporting information about </p> <p>species and sites. This data can be fed through the script '04_model_builder.R', to </p> <p>produce the models reported in the research article. '00_functions.R' is a script </p> <p>containing functions which support the modelling process, which is loaded as part of </p> <p>the 04_model_builder script. </p> <p> </p> <p>Summaries of the resulting models are an output of that script - </p> <p>'Butterfly_GAM_Outputs.xlsx'. These are represented graphically in the manuscript, </p> <p>using scripts '06_01_Map'.R:'06_03_Cross_Validation'. '06_04_Model_Metric.R' </p> <p>is a further summary of the .xlsx file, found in the Supplementary Materials. </p> <p>'06_05_graphic_4_twitter.R' produces a condensed version of the figure resulting </p> <p>from the script '06_02_Metric_Summary.R'</p> <p> </p> <p>Dataset descriptions are found in the attached readme.txt</p> <p>........................................................................................</p> <p>We would also greatly appreciate if you could fill out <a href="https://forms.gle/DCc58VXpdmqnTmTk8" target="_blank" rel="noopener">this very short form</a> to tell us how you intend to use these data. Thanks in advance!</p>
Orangutan habitat survey in Sebangau National Park, Central Kalimantan, Indonesia
<p>This dataset is used to initialise BORNEO (arBOReal aNimal movEment mOdel), as a part of publication entitled:</p> <p>Assessing the impact of forest structure disturbances on the arboreal movement oforangutans - an agent-based modelling approach.</p> <p>The article manuscript is being prepared to be submitted to Frontiers in Ecology and Evolution</p> <p><strong>Data collection</strong></p> <p>The data is collected in Sebangau, Central Kalimantan, Indonesia. Two 1-ha plots were established, each in unburned and burned forest. </p>
A Comparison of Recreational and Survey-Grade Side-Scan Sonar Systems in Mapping Reservoir Fish Habitat in 3 Southwest Ohio Reservoirs
Littoral zone aquatic habitat is thought to play an important driver of aquatic organism population dynamics, but historically has been difficult to obtain at the whole waterbody scale because it is costly and time-consuming to collect with traditional aquatic habitat sampling methods. Here we used side-scan sonar to quantification of habitat features over large areas using two levels of equipment: recreational (consumer-grade) and professional (survey-grade). Our goal was to compare performance of the different side-scan sonars by analyzing their ability to map shoreline habitat features (wood, vegetation, and substrate) in three southwest Ohio reservoirs that contain the range of habitat features of interest to fisheries biologists. We used a low-cost Lowrance Active Imaging 3-in-1 system (≈$2,000 USD) recreational sonar and an EdgeTech 6205 system (≈$150,000 USD) survey-grade sonar to collect imagery along the shoreline of three reservoirs in Ohio. Using imagery from each system, We manually delineated patches of submerged woody debris, standing timber, aquatic vegetation, and benthic substrate in GIS. We also compared the size of uniquely identifiable submerged wood from paired imagery to understand potential biases between the systems.
Fig. 6. Swamp forest habitat where P in Surveys of Afrotemperate forests yields two new freshwater crabs (Decapoda: Potamonautidae: Potamonautes MacLeay, 1838) from South Africa
Fig. 6. Swamp forest habitat where P. mariepskoppie sp. nov., was collected at the Blyde Canyon Nature Reserve, below the Mariepskop Mountains, Mpumalanga Province, South Africa.
Fig. 5 in Habitat use and abundance of goliath grouper Epinephelus itajara in Brazil: a participative survey
Fig. 5. Mean (+95% Confidence Interval) abundance of Epinephelus itajara observed by depth zone between habitats. Depth zones: shallow (0-14 m), mid (15-29 m) and deep (≥30 m). Numbers represent sightings between each deep zone and habitat.
Fig. 4 in Habitat use and abundance of goliath grouper Epinephelus itajara in Brazil: a participative survey
Fig. 4. Smoothing curve obtained by a generalized additive model using data from natural (a) and artificial habitats (b), showing the effect of sighting depth on Epinephelus itajara total length. Estimated smooth functions (solid lines) with 95% confidence interval (dashed lines) are shown for explanatory variable; y-axis= fitted function with estimated degrees of freedom in parenthesis; x-axis = variable range with rug plots indicating sampled values. (c) Boxplots of median depth among size categories for overall sightings; (d) number of goliath grouper observed at each size classes, at natural and artificial habitats. Size categories: juvenile (<50 cm), subadult (50 – 100 cm), adult (101 – 150 cm) and large adult (151 – 200 cm). Numbers above each box represent total number of individuals per size range class.
Fig. 2 in Habitat use and abundance of goliath grouper Epinephelus itajara in Brazil: a participative survey
Fig. 2. Frequency of Epinephelus itajara sighted per austral season in natural (white bar) and artificial (grey bar) habitat between 2005 and 2011. Numbers above each bar represent total number of individuals per season.
Fig. 1 in Habitat use and abundance of goliath grouper Epinephelus itajara in Brazil: a participative survey
Fig. 1. Sightings of Epinephelus itajara along Brazilian coast. States: South: SC = Santa Catarina; PR = Paraná. Southeast: SP = São Paulo; RJ = Rio de Janeiro; ES = Espírito Santo. Northeast: BA = Bahia; SE = Sergipe; AL = Alagoas; PE = Pernambuco; PB = Paraíba; RN = Rio Grande do Norte; CE = Ceará; PI = Piauí; MA = Maranhão. North: PA = Pará and AP = Amapá. NMP = National Marine Park; and AR = artificial reef.
Expert opinion survey on habitat-threat parameters for the PEM-Sul ocean zoning project
<p>This is an ongoing dataset.</p> <p> </p>
Genetic and extracellular enzyme survey of planktonic communities of aquatic habitats in Green Lakes Valley, 2017
Preliminary work done in the soils of Green Lakes Valley (GLV) has shown that the microbial communities are generally carbon and phosphorus limited. While most working examining nutrient limitations in GLV has focused on the terrestrial environment, the aquatic environments lack the same study. Longterm monitoring of the lakes in GLV show that there are shifts in carbon availability (quantity and quality) over course of the Colorado alpine growing season. These shifts have been attributed to changes in the source of DOC as snow packs melt out and flow rates decline in the valley altering the ratio of internal (autochthonous) to external (allochthonous) carbon input to the lakes. We examined the links between the biogeography of planktonic communities and the functional response of those communities to shifting nutrient limitations to test the idea that nutrient limitation and composition of planktonic communities are linked both temporally and spatially in GLV. We determined the composition of GLV’s planktonic communities using amplicon sequencing of the small ribosomal subunit sequences (16S, 18S rDNA) and determined nutrient limitations using extracellular enzyme activity (EEA) assays to examine if communities shifted in conjunction with shifts in EEA. We observed that shifting composition in the planktonic communities of GLV mirrored shifts in nutrient limitation (primarily carbon and phosphorus limitation) over the course of the alpine growing season. Alpine and sub-alpine lakes showed opposite trends in the EEA of carbon acquisition enzymes while all lakes showed high activity for phosphorus acquisition enzymes. The planktonic communities were consistently phosphorus limited throughout the study, but carbon limitation was relieved in the alpine lakes as the season progressed while sub-alpine lakes became more carbon limited. The most likely mechanism behind the observed shifts in carbon limitation are the previously studied shifts where DOC is sourced in the va
Genetic survey of bacterioplankton communities of aquatic habitats in Green Lakes Valley, 2014 - 2017
Previous work has shown high-elevation ecosystems are especially susceptible to the effects of climate change, but little work has been done on microbial communities in high-elevation aquatic systems. Therefore, my research aimed to improve our understanding of the composition, stability, and factors controlling microbial communities in high-elevation lakes in the Front Range of the Colorado Rocky Mountains. I studied seasonal and inter-annual variations in bacterial (16S rDNA) and eukaryotic (18S rDNA) microbial communities at multiple locations (inlet, outlet, three depths in the water column) within alpine lakes over four years (2014-2017). Communities significantly differed between lake inlets and the lakes as a whole across sampling dates. The most significant variable controlling 16S and 18S community composition was lake discharge rate, indicating that water residence times play a strong role in structuring communities.
Genetic survey of eukaryotic plankton communities of aquatic habitats in Green Lakes Valley, 2014 - 2017
Previous work has shown high-elevation ecosystems are especially susceptible to the effects of climate change, but little work has been done on microbial communities in high-elevation aquatic systems. Therefore, my research aimed to improve our understanding of the composition, stability, and factors controlling microbial communities in high-elevation lakes in the Front Range of the Colorado Rocky Mountains. I studied seasonal and inter-annual variations in bacterial (16S rDNA) and eukaryotic (18S rDNA) microbial communities at multiple locations (inlet, outlet, three depths in the water column) within alpine lakes over four years (2014-2017). Communities significantly differed between lake inlets and the lakes as a whole across sampling dates. The most significant variable controlling 16S and 18S community composition was lake discharge rate, indicating that water residence times play a strong role in structuring communities.
DigitAP Species Habitat Survey
<p>This dataset contains floristic and vegetation data collected by ISPRA for the <strong>DigitAP PNRR Project</strong> (<a href="https://www.nnb.isprambiente.it/it/digitap/il-pnrr-per-i-parchi-nazionali-e-le-aree-marine-protette-progetto-digitap" target="_new" rel="noopener">https://www.nnb.isprambiente.it/it/digitap/il-pnrr-per-i-parchi-nazionali-e-le-aree-marine-protette-progetto-digitap</a>). It provides information on localities, occurrence, and cover of plant species recorded during the 2024 field campaign. The dataset will be updated throughout the project to include all field data collected, along with the parameters used to assess the impact of pressures and threats on various habitat in the Italian National Parks.</p> <p>The first version includes field data collected between <em>May and July 2024</em>.</p> <p>The second version includes field data collected between <em>May and October 2024</em>. </p> <p>The third version includes field data collected between <em>May and December 2024</em>.The dataset also includes Ellenberg indicator values according to Tichý et al (2023) <a href="https://doi.org/10.1111/jvs.13168">https://doi.org/10.1111/jvs.13168</a> (availble at: https://files.ibot.cas.cz/cevs/downloads/floraveg/Indicator_values_Tichy_et_al%202022-11-29.xlsx, accessed 2024/07/01) and Life form, according to Dřevojan et al. (2023) (available at: https://files.ibot.cas.cz/cevs/downloads/floraveg/Life_form.xlsx, accessed 2024/10/01)</p> <p>The fourth and the fifth version includes field data collected between May and December 2024. The dataset also includes Ellenberg indicator values, as described by Tichý et al. (2023) (available at https://doi.org/10.1111/jvs.13168 and https://files.ibot.cas.cz/cevs/downloads/floraveg/Indicator_values_Tichy_et_al%202022-11-29.xlsx, accessed on 2025/01/14), as well as Life form data, according to Dřevojan et al. (2023) (available at https://files.ibot.cas.cz/cevs/downloads/floraveg/Life_form.xlsx, accessed on 2025/01/14).</p> <p>The taxonomic, nomenclatural follows the Checklists of the native and alien floras of Italy (Bartolucci et al. 2024 https://doi.org/10.1080/11263504.2024.2320126, Galasso et al. 2024 https://doi.org/10.1080/11263504.2024.2320129), and their updates (for details, see https://dryades.units.it/floritaly/?procedure=cite).</p> <p>Fundings: PIANO NAZIONALE DI RIPRESA E RESILIENZA (PNRR): MISSIONE 2 Rivoluzione Verde e Transizione Ecologica; COMPONENTE 4 Tutela del Territorio e delle Risorsa Idrica; INVESTIMENTO 3.2 Digitalizzazione dei Parchi e delle Aree Marine Protette; Sub investimento 3.2 A) Conservazione della natura – monitoraggio delle pressioni e minacce su specie e habitat e cambiamento climatico.</p>
Fig. 3 in Habitat use and abundance of goliath grouper Epinephelus itajara in Brazil: a participative survey
Fig. 3. Boxplots of median depth of sighted Epinephelus itajara at natural and artificial reefs.
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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.