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We have found 607 datasets for the keyword " ecological feature". You can continue exploring the search results in the list below.
Datasets: 106,156
Contributors: 42
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607 Datasets, Page 1 of 61
Biologic and Ecologic
BiologicEcologic ISO Feature Dataset symbolization and publication. September 5, 2017.
Ecological Catalogue (formerly AquaCat)
A compendium of reports that provide information about aquatic and terrestrial animals and plants, soils, surface water, groundwater and their accompanying data files and maps
Recreational Features Inventory
The RFI identifies areas of land and water encircling a recreation feature or combination of features that support, or have the potential to support, one or more recreation activities. These areas are rated for their significance or importance to recreation and for their sensitivity to alteration
Ecological insight of seasonal plankton succession to monitor shellfish aquaculture ecosystem interactions
Bivalve aquaculture has direct and indirect effects on plankton communities, which are highly sensitive to short-term (seasonal, interannual) and long-term climate changes, although how these dynamics alter aquaculture ecosystem interactions is poorly understood. Here, we investigate seasonal patterns in plankton abundance and community structure spanning several size fractions from 0.2 µm up to 5 mm, in a deep aquaculture embayment in northeast Newfoundland, Canada. Using flow cytometry and FlowCam imaging, we observed a clear seasonal relationship between fraction sizes driven by water column stratification (freshwater input, nutrient availability, light availability, water temperature). Plankton abundance decreased proportionally with increasing size fraction, aligning with size spectra theory. Within the bay, greater mesozooplankton abundance, and a greater relative abundance of copepods, was observed closest to the aquaculture lease. No significant spatial effect was observed for phytoplankton composition. While the months of August to October showed statistically similar plankton composition and size spectra slopes (i.e., food chain efficiency) and could be used for interannual variability comparisons of plankton composition, sampling for longer periods could capture long-term phenological shifts in plankton abundance and composition related to various processes, including climate change. Conclusions provide guidance on optimal sampling to monitor and assess aquaculture pathways of effects.Cite this data as: Sharpe H, Lacoursière-Roussel A, Gallardi D (2024). Ecological insight of seasonal plankton succession to monitor shellfish aquaculture ecosystem interactions. Version 3.2. Fisheries and Oceans Canada. Sampling event dataset. https://doi.org/10.25607/2ujdvh
Wildlife Act Restricted Hunting and Trapping Areas
The purpose of this dataset is to give an accurate representation of the boundaries of lands closed to hunting in Manitoba.The purpose of this dataset is to give an accurate representation of the boundaries of lands closed to hunting in Manitoba. These are defined as lands where hunting and trapping are either prohibited, or special restrictions are in place for certain species and areas are defined within the General Hunting Regulation (351/87), Moose Conservation Closure Regulation (122/2011), Hunting Seasons and Bag Limits Regulation (165/91), and Trapping of Wild Animals Regulation (245/90) of The Wildlife Act (C.C.S.M c. W130). Hunting and trapping prohibitions or restrictions are implemented in certain areas to ensure the conservation of species or enhance public safety. Fields included (Alias (Field Name): Field description) FID (OBJECTID): Sequential unique whole numbers that are automatically generated Id (Id): The number assigned to each restricted area (not currently being used) Name (Name): Name given to the restricted area Restrictions (Restrictions): Description of the restriction applied to the restricted area Director of Surveys Plan (D_of_S): Director of Surveys Plan number which pertains to the boundary of the restricted area Regulation (Regulation): The regulation title defined in The Wildlife Act Shape_Area (Shape_Area): Area of the feature in internal units squared Shape_Length (Shape_Length): Length of the feature in internal units
Vegetation Inventory Photo Points - Whitehorse - 10k
This point feature indicates the location of photo centre points during data capture for the Whitehorse Forest Inventory. The field work for the inventory was carried out during the winter of 2004/2005 with the project delivered by the contractor in October 2005. Delineation was based on 1:10,000 black and white photography acquired by the City of Whitehorse in 2001. New mapping and DTM were available for this project based on that photography.Distributed from [GeoYukon](https://yukon.ca/geoyukon) by the [Government of Yukon](https://yukon.ca/maps) . Discover more digital map data and interactive maps from Yukon's digital map data collection.For more information: [geomatics.help@yukon.ca](mailto:geomatics.help@yukon.ca)
Vegetation Inventory - 40k
This feature delineates forest and vegetation stands in the Yukon at a scale of 1: 40 ,000. It is a management level forest inventory (as opposed to a n operational level) - meaning that analysis and mapping are most effective close to the 1:40,000 scale and not larger . This inventory has been completed in various stages : delineation from hardcopy black and white photographs took place from 1987 to 2002; while recent data collection has proceeded through a digital (aka 'softcopy') methodology of scanned photographs and digital elevation models.Distributed from [GeoYukon](https://yukon.ca/geoyukon) by the [Government of Yukon](https://yukon.ca/maps) . Discover more digital map data and interactive maps from Yukon's digital map data collection.For more information: [geomatics.help@yukon.ca](mailto:geomatics.help@yukon.ca)
Broad Ecosystem Units - West Central Region
Broad Ecosystem Units were mapped using predictive modeling methods from various data sources (ranging from 1:50,000 to 1:250,000 in scale) and are referenced to the CanVec digital spatial framework (1:50,000). Broad Ecosystem Units (BEU) are a level in the Yukon bioclimate ecosystem classification system that represents areas with similar broad vegetation communities, terrain type (soils and topography) within bioclimate zones. Broad Ecosystem Units are described in the accompanying report "Regional Ecosystems of West-Central Yukon, Part 1: Ecosystem descriptions ".The intended application for mapped broad ecosystem units is 1:100,000 or smaller (1:100,000 - 1:250,000 scale) - interpretations derived from the map products should not be applied at more detailed scales, even though the resultant 30m raster map allows users to view results at more detailed resolutions. With new information, boundaries and designations of Broad Ecosystem Units can change. Updates to Broad Ecosystem Units occur only periodically. For the most current information, or if you have questions, please contact the Ecological and Landscape Classification Program (ELC@yukon.ca).Distributed from [GeoYukon](https://yukon.ca/geoyukon) by the [Government of Yukon](https://yukon.ca/maps) . Discover more digital map data and interactive maps from Yukon's digital map data collection.For more information: [geomatics.help@yukon.ca](mailto:geomatics.help@yukon.ca)
Ministry of Transportation (MOT) Safety Feature
A Safety Feature is one of a number of various appliances/appurtenances that have been installed or constructed either alongside or as an integral part of the road infrastructure to reduce the severity or potential of accidents. It is a Point feature
Ecological Land Classification (ELC) Status
This dataset is produced for the Government of Alberta and is available to the general public. Please consult the Distribution Information of this metadata for the appropriate contact to acquire this dataset. The Ecological Land Classification (ELC) Status is a supporting dataset to the Ecological Land Classification dataset. The ELC Status represents a geodatabase feature class of the ELC study areas. There is attribution to describe the scale of the study, whether there is a scanned report (.pdf), scanned map (.tif) or GIS-ready feature class available.
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