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1,216 results for “species mapping”
Invasive Species Mapping at Harvard Forest 2005
We are monitoring vegetation at the Harvard Forest for invasive plant populations with respect to land use history and other factors. Using our historical database for the Harvard Forest Prospect Hill tract, we have begun mapping the current distribution of non-native plants as a function of past land use. The 320 ha tract of Prospect Hill is mapped by parcels with known land-use history, soils, vegetation composition, and long-term vegetation dynamics. We plan to conduct annual vegetation surveys at Harvard Forest and the adjacent Quabbin Reservation to document six key non-native species currently present in the area: A. petiolata, the non-native shrubs B. thunbergii, Rhamnus cathartica, R. frangula, Lonicera spp. and the climbing vine, Celastrus orbiculatus. We will map the GPS coordinates and record cover estimates of each species and conduct spatial analyses on these data using our extensive records and GIS maps of land use histories at these locations. Detailed site histories will be determined certain species of interest, using field and archival records. Using similar techniques, we also plan to monitor invasive plant populations at key experimental plots (including the hemlock removal experiment at Simes Tract, and the "recovery phase" of the Chronic N addition plots). Together, these landscape-level studies will provide a novel historical context for understanding biological invasions in a historical context.
Imputed Forest Composition Map for New England Screened by Species Range Boundaries 2001-2006
Initializing forest landscape models (FLMs) to simulate changes in tree species composition requires accurate fine-scale forest attribute information mapped contiguously over large areas. Nearest-neighbor imputation maps have high potential for use as the initial condition within FLMs, but the tendency for field plots to be imputed over large geographical distances results in species frequently mapped outside of their home ranges, which is problematic. We developed an approach for evaluating and selecting field plots for imputation based on their similarity in feature-space, their species composition, and their geographical distance between source and imputation to produce a map that is appropriate for initializing an FLM. We applied this approach to map 13m ha of forest throughout the six New England states (Rhode Island, Connecticut, Massachusetts, New Hampshire, Vermont, and Maine). The map itself is a .img raster file of FIA plot CN numbers. To access FIA data from this map, one has to link the mapcodes in this map to FIA data supplied by USDA FIA database (https://apps.fs.usda.gov/fia/datamart/datamart.html). Due to plot confidentiality and integrity concerns, pixels containing FIA plots were always assigned to some other plot than the actual one found there.
Species-level map of Smith Island, VA from remote sensing 2003
Species-level vegetation map for Smith Island off the tip of the Delmarva Peninsula in Virginia. Created by Charles M. Bachmann of the Naval Research Laboratory based classification of hyperspectral imagery using 3-season data (two PROBE2 scenes and a Hymap scene).
May to July 2018 regions of interest (ROIs) of tidal marsh and tidal forest plant species to be used as ground reference data in habitat mapping
We collected field data from sites distributed in habitats along the salinity axis of the Altamaha River estuary and the Duplin River to be used as ground reference data for habitat mapping. Regions of interest (ROIs) for tidal marsh (salt, brackish, tidal fresh) and tidal fresh forest vegetation species were generated near ground control points (GCP) by digitizing vegetation areas in ArcGIS 10.4 based on field maps.These observations will be used to create habitat maps from aerial photographs of the Altamaha River estuary, GA taken following Hurricane Irma to better understand how the storm surge affected tidal vegetation and to examine any shifts in vegetation type.
May to July 2018 ground control points GPS coordinates of tidal marsh and tidal forest plant species to be used as ground control points in habitat mapping.
We collected field data from sites distributed in habitats along the salinity axis of the Altamaha River estuary and the Duplin River to be used as ground control points (GCP) and ground reference data for habitat mapping. GCPs for tidal marsh (salt, brackish, tidal fresh) and tidal fresh forest vegetation species were acquired. A real time kinematic (RTK) GPS survey of GPS coordinates and ground elevations for tidal marsh vegetation was carried out in May of June of 2018. A handheld GPS was used to collect GPS coordinates for tidal forest plant species in July of 2018. A total of 101 GCPs were collected in tidal habitats, with 26 in salt, 28 in brackish and 29 in tidal fresh marsh, and another 18 in tidal fresh forest. These observations will be used to create habitat maps from aerial photographs of the Altamaha River estuary, GA taken following Hurricane Irma to better understand how the storm surge affected tidal vegetation and to examine any shifts in vegetation type.
Oligonucleotide probes used for comparative mapping in lupin species
<p>The supplementary list of oligonucleotide probes generated in Chorus software. Filtered probes were used in oligo-FISH comparative mapping of lupin species. Detailed description provided in the article: 'The puzzling fate of a lupin chromosome revealed by reciprocal oligo-FISH and BAC-FISH mapping'.</p>
Mapping the Atlantic Ocean i.e. the Gulf of Maine to identify suitable cultivation sites for kelp species
<p>Input source:</p> <ul> <li>Temperature data</li> <li>Depth data</li> <li>Wave data</li> <li>Nutrients data</li> <li>Current data</li> <li>Marine use data</li> </ul> <p><strong>All from other available sources outside the project</strong></p> <p> </p> <p>DATA SET GENERATED:</p> <ul> <li>Environmental data</li> <li>Training/validation data</li> <li>The socioeconomic datasets</li> </ul> <ul> <li>Map of suitable sites</li> <li>Model using GIS</li> </ul>
GBIF map data latest examples: species Gadus morhua
Open the record for dataset details and reuse information.
Fig. 14. Distribution map. 1 in New species and new records of terrestrial isopods (Crustacea, Isopoda, Oniscidea) of the families Philosciidae and Scleropactidae from Brazilian caves
Fig. 14. Distribution map. 1. Albosciajotajota Campos-Filho, Bichuette & Taiti sp. nov. 2. Androdeloscia akuanduba Campos-Filho, Cardoso & Taiti sp nov. 3. Atlantoscia inflata Campos-Filho & Araujo, 2015. 4. Benthana iporangensis Lima & Serejo, 1993. 5. B. longicornis Verhoeff, 1941. 6. B. olfersii (Brandt, 1833). 7. B. picta (Brandt, 1833). 8. B. taeniata Araujo & Buckup, 1994. 9. Metaprosekia igatuensis Campos-Filho, Fernandes & Bichuette sp. nov. 10. Paratlantoscia rubromarginata (Araujo & Leistikow, 1999). 11. Amazoniscus spica Campos-Filho, Aguiar & Taiti sp. nov. 12. Circoniscus bezzii Arcangeli, 1931. Light gray areas denote Brazilian conservation units. AL = Alagoas; BA = Bahia; CE = Ceará; DF = Distrito Federal; ES = Espírito Santo; GO = Goiás; MA = Maranhão; MG = Minas Gerais; MT = Mato Grosso; PA = Pará; PB = Paraíba; PE = Pernambuco; PI = Piauí; PR = Paraná; RJ = Rio de Janeiro; RN = Rio Grande do Norte; SE = Sergipe; SP = São Paulo; TO = Tocantins.
Maps 1–12 in New state records for Coniopterygidae (Neuroptera) with an updated list of species in North America north of Mexico
Maps 1–12. State-level distribution of Coniopterygidae spp. 1) Aleuropteryx arceuthobii. 2) Aleuropteryx arizonica. 3) Aleuropteryx cupressi. 4) Aleuropteryx dragoonica. 5) Aleuropteryx juniperi. 6) Aleuropteryx knowltoni. 7) Aleuropteryx longipennis. 8) Aleuropteryx maculipennis. 9) Aleuropteryx megacornis. 10) Aleuropteryx punctata. 11) Aleuropteryx simillima. 12) Aleuropteryx unicolor.
Maps 49–57 in New state records for Coniopterygidae (Neuroptera) with an updated list of species in North America north of Mexico
Maps 49–57. State-level distribution of Coniopterygidae spp. 49) Semidalis deserta. 50) Semidalis flinti. 51) Semidalis frommeri. 52) Semidalis inconspicua. 53) Semidalis pseudouncinata. 54) Semidalis tricornis. 55) Semidalis vicina. 56) Semidalis wallacei. 57) Semidalis xerophila.
Maps 25–36 in New state records for Coniopterygidae (Neuroptera) with an updated list of species in North America north of Mexico
Maps 25–36. State-level distribution of Coniopterygidae spp. 25) Coniopteryx dorsicornis. 26) Coniopteryx fitchi. 27) Coniopteryx forcipata. 28) Coniopteryx latipalpis. 29) Coniopteryx mexicana. 30) Coniopteryx minuta. 31) Coniopteryx palpalis. 32) Coniopteryx quadricephala. 33) Coniopteryx simplex. 34) Coniopteryx simplicior. 35) Coniopteryx tineiformis. 36) Coniopteryx westwoodi.
Map 2 in New species and additional records of Ischnosoma from Georgia (Coleoptera, Staphylinidae, Tachyporinae)
Map 2: Confirmed distribution of Ischnosoma myops (black circles) and type locality of I. cuspidatum (white star).
Map 1 in On the taxonomy oI some West Palaearctic Quedius species, with descriptions oI new species and new synonymies (Coleoptera, Staphylinidae, Staphylininae)
Map 1: Distribution of Quedius iridicolor based on revised (black circles) and literature records in FAUVEL (1902) (white circles).
Map 2 in A revision of Geostiba of the West Palaearctic region. XXVI. New species and additional records, primarily from the Caucasus region (Coleoptera: Staphylinidae: Aleocharinae)
Map 2: Distributions of Geostiba unicuneata (black circles), G. deliqua (white circle), and G. meghruica (black diamonds).
Map 2 in On some Myllaena species in the East Mediterranean and Caucasus regions (Coleoptera: Staphylinidae: Aleocharinae)
Map 2: Distribution of Myllaena caucasica in the Caucasus region and Turkey, based on revised records.
Map 1 in On some Myllaena species in the East Mediterranean and Caucasus regions (Coleoptera: Staphylinidae: Aleocharinae)
Map 1: Distributions of Myllaena graeca (based on revised records) (circles), M. mutabilis (triangles), and M. cretica (star).
Map 1 in On two sibling Lathys species (Araneae, Dictynidae) from northern Europe
Map 1. Distribution of Lathys humilis (dot) and L. nielseni (square). A square and a circle refer to areas where both species have been found. Some dots and two squares (Germany, Switzerland) refer to state records. An open dot and square refer to a questionable record. Diamonds refer to doubtful records of L. humilis that may relate either to L. nielseni or L. annulata. Specimens from localities east of the broken line have been studied by us (except for questionable records).
Fig 6. Distribution maps. A in Kryptonesticus deelemanae gen. et sp. nov. (Araneae, Nesticidae), with notes on the Mediterranean cave species
Fig 6. Distribution maps. A. Map of Biokovo Mt with distribution of Kryptonesticus deelemanae gen. et sp. nov. B. Map with distributions of K. deelemanae gen. et sp. nov., K. fagei (Kratochvíl, 1933) and K. arenstorffi (Kulczyński, 1914). Marked is the town of Trebinje, near the type locality for K. arenstorffi, and also the towns of Mostar and Jablanica, between which is Čudna jama, a dubious record for K. arenstorffi. Also marked is Cetinjska pećina, the southernmost locality for K. arenstorffi.
Figs 50–53. Distribution maps. — 50. Belbina nympha. 51. B. pionneaui. 52. B. recurva. 53. B in Revision of the Malagasy lanternfly genus Belbina Stål, 1863, with two new species (Hemiptera: Fulgoromorpha: Fulgoridae)
Figs 50–53. Distribution maps. — 50. Belbina nympha. 51. B. pionneaui. 52. B. recurva. 53. B. servillei.
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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.