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Dataset results
21 results for “plant species mapping”
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.
MAP 4 in Systematics And Analysis Of The Radiation Of Orthotylini Plant Bugs Associated With Callitroid Conifers In Australia: Description Of Five New Genera And 32 New Species (Heteroptera: Miridae: Orthotylinae)
MAP 4. Distribution of Erysivena species.
MAP 3 in Systematics And Analysis Of The Radiation Of Orthotylini Plant Bugs Associated With Callitroid Conifers In Australia: Description Of Five New Genera And 32 New Species (Heteroptera: Miridae: Orthotylinae)
MAP 3. Distribution of Callitricola species.
MAP 5 in Systematics And Analysis Of The Radiation Of Orthotylini Plant Bugs Associated With Callitroid Conifers In Australia: Description Of Five New Genera And 32 New Species (Heteroptera: Miridae: Orthotylinae)
MAP 5. Distribution of Erysivena species.
MAP 2 in Systematics And Analysis Of The Radiation Of Orthotylini Plant Bugs Associated With Callitroid Conifers In Australia: Description Of Five New Genera And 32 New Species (Heteroptera: Miridae: Orthotylinae)
MAP 2. Distribution of Callitricola species.
MAP 1 in Systematics And Analysis Of The Radiation Of Orthotylini Plant Bugs Associated With Callitroid Conifers In Australia: Description Of Five New Genera And 32 New Species (Heteroptera: Miridae: Orthotylinae)
MAP 1. Distribution of Avititerra and Blattakeraia species.
Mapping trait versus species turnover reveals spatiotemporal variation in functional redundancy and network robustness in a plant‐pollinator community
<p>1. Functional overlap among species (redundancy) is considered important in shaping competitive and mutualistic interactions that determine how communities respond to environmental change. Most studies view functional redundancy as static, yet traits within species – which ultimately shape functional redundancy – can vary over seasonal or spatial gradients. We therefore have limited understanding of how trait turnover within and between species could lead to changes in functional redundancy or how loss of traits could differentially impact mutualistic interactions depending on where and when the interactions occur in space and time.</p> <p>2. Using an Arctic bumblebee community as a case study, and 1,277 individual measures from 14 species over three annual seasons, we quantified how inter- and intraspecific body-size turnover compared to species turnover with elevation and over the season. Coupling every individual and their trait with a plant visitation, we investigated how grouping individuals by a morphological trait or by species identity altered our assessment of network structure and how this differed in space and time. Finally, we tested how the sensitivity of the network in space and time differed when simulating extinction of nodes representing either morphological trait similarity or traditional species groups. This allowed us to explore the degree to which trait-based groups increase or decrease interaction redundancy relative to species-based nodes.</p> <p>3. We found that i) groups of taxonomically and morphologically similar bees turn over in space and time independently from each other, with trait turnover being larger over the season; ii) networks composed of nodes representing species versus morphologically similar bees were structured differently; and iii) simulated loss of bee trait groups caused faster coextinction of bumblebee species and flowering plants than when bee taxonomic groups were lost. Crucially, the magnitude of these effects varied in space and time, highlighting the importance of considering spatiotemporal context when studying the relative importance of taxonomic and trait contributions to interaction network architecture.</p> <p>4. Our finding that functional redundancy varies spatiotemporally demonstrates how considering the traits of individuals within networks is needed to understand the impacts of environmental variation and extinction on ecosystem functioning and resilience.</p>
Mapping trait versus species turnover reveals spatiotemporal variation in functional redundancy and network robustness in a plant‐pollinator community
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Global maps of current (1979-2013) and future (2061-2080) habitat suitability probability for 1,485 European endemic plant species
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Supplementary material 3 from: Zimmermann H, Loos J, von Wehrden H, Fischer J (2015) Aliens in Transylvania: risk maps of invasive alien plant species in Central Romania. NeoBiota 24: 55-65. https://doi.org/10.3897/neobiota.24.7772
Risk maps for all eight study species.: Explanation note: Risk maps for all eight study species derived from the MAXENT model.
Supplementary material 2 from: Zimmermann H, Loos J, von Wehrden H, Fischer J (2015) Aliens in Transylvania: risk maps of invasive alien plant species in Central Romania. NeoBiota 24: 55-65. https://doi.org/10.3897/neobiota.24.7772
Check for sampling bias.: Explanation note: We checked our dataset for sampling bias, that is the distribution of presence points (N = 1484) at different road distances.
Supplementary material 1 from: Zimmermann H, Loos J, von Wehrden H, Fischer J (2015) Aliens in Transylvania: risk maps of invasive alien plant species in Central Romania. NeoBiota 24: 55-65. https://doi.org/10.3897/neobiota.24.7772
Table of species localities.: Explanation note: Table of all species localities (latitude and longitude in decimal degrees, WGS 84).
MAP 1 in Synopsis of Miridae (Hemiptera: Heteroptera) in Atlantic Forest Dominion, Espírito Santo State, Brazil: keys, diagnoses, new species, plant associations, and geographic distribution. Part I: Bryocorinae, Cylapinae and Deraeocorinae.
MAP 1. Vegetation types of Espírito Santo with inset showing location within Brazil (Based on Wikipedia 2023).
Data from: High-resolution and large-extent mapping of plant species richness using vegetation-plot databases
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Data from: Using digital soil maps to infer edaphic affinities of plant species in Amazonia: problems and prospects
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Supplementary material 1 from: Huisman SN, Jesse WAM, Ellers J, van Beukering PJH (2021) Mapping the economic loss of ecosystem services caused by the invasive plant species Antigonon leptopus on the Dutch Caribbean Island of St. Eustatius. One Ecosystem 6: e72881. https://doi.org/10.3897/oneeco.6.e72881
Tree cover map St. Eustatius
Supplementary material 3 from: Huisman SN, Jesse WAM, Ellers J, van Beukering PJH (2021) Mapping the economic loss of ecosystem services caused by the invasive plant species Antigonon leptopus on the Dutch Caribbean Island of St. Eustatius. One Ecosystem 6: e72881. https://doi.org/10.3897/oneeco.6.e72881
Important birding areas St. Eustatius
Supplementary material 2 from: Huisman SN, Jesse WAM, Ellers J, van Beukering PJH (2021) Mapping the economic loss of ecosystem services caused by the invasive plant species Antigonon leptopus on the Dutch Caribbean Island of St. Eustatius. One Ecosystem 6: e72881. https://doi.org/10.3897/oneeco.6.e72881
Iguana sightings map St. Eustatius
Supplementary material 4 from: Huisman SN, Jesse WAM, Ellers J, van Beukering PJH (2021) Mapping the economic loss of ecosystem services caused by the invasive plant species Antigonon leptopus on the Dutch Caribbean Island of St. Eustatius. One Ecosystem 6: e72881. https://doi.org/10.3897/oneeco.6.e72881
Morning Glory map St. Eustatius
ScienceDex guides
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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.