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89 results for “ecological surveys”
Ecological Survey of Central Arizona: a survey of key ecological indicators in parcels of residential areas in the greater Phoenix metropolitan area, ongoing since 2010 (Reformatted to a Darwin Core Archive)
This data package is formatted as a Darwin Core Archive (DwC-A, event core). For more information on Darwin Core see https://www.tdwg.org/standards/dwc/. This Level 2 data package was derived from the Level 1 data package found here: https://pasta.lternet.edu/package/metadata/eml/edi/115/2, which was derived from the Level 0 data package found here: https://pasta.lternet.edu/package/metadata/eml/knb-lter-cap/653/2. The abstract below was extracted from the Level 0 data package and is included for context: The Ecological Survey of Central Arizona (ESCA) is an extensive field survey and integrated inventory designed to capture key ecological indicators of the CAP LTER study area consisting of the urbanized, suburbanized, and agricultural areas of metropolitan Phoenix, and the surrounding Sonoran desert. The survey is conducted every five years at approximately 200 sample plots (30m x 30m) that were located randomly using a tessellation-stratified dual-density sampling design. Study plots cover habitats throughout the CAP LTER study area ranging from native Sonoran desert sites to residential yards to an airport tarmac. In 2010, the survey was expanded to include an assessment of residential parcels overlapping the survey plot at sites in residential areas. Many of the same variables that are measured in the 30m x 30m survey plot are measured in the parcel, including an inventory of perennial plants, and the biovolume of trees. In addition, a detailed assessment of characteristics of the parcel is performed. Investigators interested in data from the broader Ecological Survey of Central Arizona that includes all survey plots should should search the data catalog for 'ecological survey of central arizona' or 'survey 200' to locate those and other data related to the CAP LTER's ESCA.
Ecological Survey of Central Arizona: a survey of key ecological indicators in the greater Phoenix metropolitan area and surrounding Sonoran desert, ongoing since 1999 (Reformatted to a Darwin Core Archive)
This data package is formatted as a Darwin Core Archive (DwC-A, event core). For more information on Darwin Core see https://www.tdwg.org/standards/dwc/. This Level 2 data package was derived from the Level 1 data package found here: https://pasta.lternet.edu/package/metadata/eml/edi/247/3, which was derived from the Level 0 data package found here: https://pasta.lternet.edu/package/metadata/eml/knb-lter-cap/652/3. The abstract below was extracted from the Level 0 data package and is included for context: The Ecological Survey of Central Arizona (ESCA) is an extensive field survey and integrated inventory designed to capture key ecological indicators of the CAP LTER study area consisting of the urbanized, suburbanized, and agricultural areas of metropolitan Phoenix, and the surrounding Sonoran desert. The survey, formerly known as the survey 200 and renamed to ESCA in 2015, is conducted every five years at approximately 200 sample plots (30m x 30m) that were located randomly using a tessellation-stratified dual-density sampling design. Study plots cover habitats throughout the CAP LTER study area ranging from native Sonoran desert sites to residential yards to an airport tarmac. Measurements include an inventory of all plants (identified to the lowest possible taxonomic unit, typically species), plant biovolume, soil coring for physicochemical properties, arthropod sweep-net sampling, photo documentation, and a visual survey of site and area characteristics. The objectives of the survey are to (1) characterize patches in terms of key biotic, physical, and chemical variables, and (2) examine relationships among land use, general plant diversity, native plant diversity, plant biovolume, soil nutrient status, and social-economic indices along an indirect urban gradient. A pilot survey was conducted in 1999, and the first full ESCA was conducted in 2000. The maiden survey in 2000 featured a suite of measurements that were not assessed in later surveys, including data fr
Fig. 4 in Connecting systematic and ecological studies using DNA barcoding in a population survey of Drosophilidae (Diptera) from Mt Oku (Cameroon)
Fig. 4. Phylogenetic analysis of the subgenus Sophophora and Lissocephala aff. diola Tsacas & Lachaise, 1979. Conventions as for Fig. 3.
Fig. 2 in Connecting systematic and ecological studies using DNA barcoding in a population survey of Drosophilidae (Diptera) from Mt Oku (Cameroon)
Fig. 2. Percent divergence of the morphospecies DNA barcode from the closest neighbor found in the barcode database.
Fig. 3 in Connecting systematic and ecological studies using DNA barcoding in a population survey of Drosophilidae (Diptera) from Mt Oku (Cameroon)
Fig. 3. Phylogenetic analysis of the genus Zaprionus and Microdrosophila aff. mamaru (Burla, 1954). This tree is the neighbor-joining tree. The maximum likelihood tree gives the same topology. Nodes with a bootstrap value lower than 50% were merged. Bootstrap values were calculated over 1000 repeats. Above nodes: bootstrap values for maximum likelihood using a GTR + G + I model. Below nodes: bootstrap values for neighbor-joining using the Kimura-2p distance.
Survey data for "Remote Sensing & GIS Training in Ecology and Conservation"
<p>This file provides the raw data of an online survey intended at gathering information regarding remote sensing (RS) and Geographical Information Systems (GIS) for conservation in academic education. The aim was to unfold best practices as well as gaps in teaching methods of remote sensing/GIS, and to help inform how these may be adapted and improved. A total of 73 people answered the survey, which was distributed through closed mailing lists of universities and conservation groups.</p>
R_JAGS code for estimation and analysis of species-area-relationship (SAR) parameters from NEON (National Ecological Observatory Network) data on plant surveys
<p><span>Invasive species science is heavily geared toward the invasive agent. </span>However, management to protect native species also requires a proactive approach focused on understanding the features affecting community vulnerability to invasion impacts<span>. </span><span>Vulnerability </span><span>is likely the result of </span><span>factors acting across spatial scales, from </span><span>local to regional, and it is the combined effects of these factors that will determine the magnitude of vulnerability.</span><span> We introduce an analytical framework that quantifies the scale-dependent impact of biological invasions from the shape of the native species-area-relationship (SAR). We leverage newly available, biogeographically extensive vegetation data from the US National Ecological Observatory Network to assess plant community vulnerability to invasion impact as a function of factors acting across scales. We analyzed more than 1000 SARs widely distributed across the USA along environmental gradients and under different levels of invasion. </span>Results show that a decrease in native richness is consistently associated with invasive species cover<span>, but it is only at relatively high levels of invasion that native richness is compromised. After accounting for variation in baseline ecosystem diversity, net primary productivity, and human modification, ecoregions that are colder and wetter seem to be most vulnerable to losses of native plant species at the local level, while warmer and wetter areas seem most susceptible at the landscape level. We also document how the combined effects of cross-scale factors result in a heterogenous spatial pattern of vulnerability. </span><span>This pattern </span><span>cannot be predicted by analyses at any single scale, underscoring the importance of accounting for factors acting across scales. Simultaneously assessing differences in vulnerability between distinct plant communities at local, landscape and regional scales provided outputs that can be used to inform policy and management aimed at reducing vulnerability to the impact of plant invasions.</span></p>
Survey questionnaire data on Perceptions, interactions, and responses to urban natural environments through ecological momentary assessment
<p>Data consist of a R file format and contain the cleaned survey quistionaire data where people were asked about their perceptions, interactions, and responses to urban natural environments. For more information please read the following report Published as part of the Regreen Horizon project. </p> <p>Panduro, T.E., Zandersen, M., Guell, C., Lovell, R., Garrett, J., Taylor, T., Fullam, J., Amegbor, P. (2024) Perceptions, interactions, and responses to urban natural environments through ecological momentary assessment (EMA). Deliverable D4.6. REGREEN - Fostering nature-based solutions for smart, green and healthy urban transitions in Europe and China. Horizon2020 Grant No. 821016. https://www.doi.org/10.5281/zenodo.10594764</p>
Fig.3 in Biodiversity survey, ecology and new distribution records of Marchantiophyta in a remnant of Brazilian Atlantic Forest
Fig.3. Graphical representation of substrates colonized by liverwort species in the fragment of dense montane ombrophilous forest studied in the National Park of Boa Nova, Bahia, Brazil.
Figure 6 in Ecological surveys on the parthenogenetic Artemia populations in the hypersaline lakes of Anatolia, Turkey
Figure 6. Seasonal fluctuations in densities (ind. m–3) of Artemia and percentage of individuals subdivided in different age classes from Acıgöl Lake.
Figure 4 in Ecological surveys on the parthenogenetic Artemia populations in the hypersaline lakes of Anatolia, Turkey
Figure 4. Seasonal fluctuations in densities (ind. m–3) of Artemia and percentage of individuals subdivided in different age classes from Bolluk Lake.
Figure 3 in Ecological surveys on the parthenogenetic Artemia populations in the hypersaline lakes of Anatolia, Turkey
Figure 3. Seasonal fluctuations in densities (ind. m–3) of Artemia and percentage of individuals subdivided in different age classes from Tuz Lake.
Egnuck Wida grassland vegetation survey (Kootenay Plains Ecological Reserve)
<p>Vegetation Survey of Egnuck Wida and the Kootenay Plains Ecological Reserve, Jul-Aug 2020, Alberta, Canada.</p> <p>For project details, see <br>Schepens et al. (2024). Colonial management drives ecological change following the exclusion of Indigenous stewardship in a Stoney Iyethka montane grassland, Canadian Rocky Mountains. (In press, People and Nature). </p> <p>and </p> <p>Schepens, G. (2022). <em>Ecological legacies of Stoney Nakoda stewardship in a montane grassland: a century of vegetation change in Egnuck Wida and the Kootenay Plains Ecological Reserve. </em>MSc Thesis, University of Victoria. https://dspace.library.uvic.ca/server/api/core/bitstreams/87a2642e-4fc6-4bd9-917e-77599fdd6ed0/content</p>
Figure 6 in Survey of European mites from the suborder Uropodina: II. Morphology, geographical distribution, biology, and ecology of Trematurella elegans (Kramer, 1882)
Figure 6 Trematurella elegans – Male, dorsal side: A – General view; B – Dorsal setae and sculpture of central part; C – Posterior part of idiosoma; D – Lateral part of idiosoma.
Figure 15 in Survey of European mites from the suborder Uropodina: II. Morphology, geographical distribution, biology, and ecology of Trematurella elegans (Kramer, 1882)
Figure 15 Distribution ofTrematurella elegans in Poland: A – Localities whereTrematurella elegans specimens were found; B – All examined localities.
Figure 12 in Survey of European mites from the suborder Uropodina: II. Morphology, geographical distribution, biology, and ecology of Trematurella elegans (Kramer, 1882)
Figure 12 Trematurella elegans – Larva, dorsal side: A – General view; B – Anterior part of idiosoma; C – Central part of idiosoma; D – Posterior part of idiosoma; E – Marginal setae.
Figure 5 in Survey of European mites from the suborder Uropodina: II. Morphology, geographical distribution, biology, and ecology of Trematurella elegans (Kramer, 1882)
Figure 5 Trematurella elegans – Female, hypostome: h1-h4 – Hypostomal setae, an arrow indicates a pair of setae on the trochanters of palps.
Figure 2 in Survey of European mites from the suborder Uropodina: II. Morphology, geographical distribution, biology, and ecology of Trematurella elegans (Kramer, 1882)
Figure 2 Trematurella elegans – Female; A-B – Dorsal side, details of sculpture of central and marginal parts; C-E – Lateral view.
Figure 1 in Survey of European mites from the suborder Uropodina: II. Morphology, geographical distribution, biology, and ecology of Trematurella elegans (Kramer, 1882)
Figure 1 Trematurella elegans – Female, dorsal side: A – General view; B – Vertex; C – Dorsal shield, central part; D – Marginal shield, sculpture and setae on lateral part; E – Marginal shield, sculpture and setae on posterior part; ls – Lateral setae, ms – Marginal setae, ds – Dorsal setae.
Figure 16 in Survey of European mites from the suborder Uropodina: II. Morphology, geographical distribution, biology, and ecology of Trematurella elegans (Kramer, 1882)
Figure 16 The proportional distribution of individuals of Trematurella elegans in collected samples throughout the year.
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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.