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We have found 250 datasets for the keyword "follow-up". You can continue exploring the search results in the list below.
Datasets: 105,253
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250 Datasets, Page 1 of 25
Settlement
The Settlement dataset is comprised of all the polygons that represent Settlements in Alberta. A settlement is an area of land that was surveyed prior to the Third System of Survey and does not normally follow the ATS grid.
Forest Inventory Zones
The Forest Inventory Zone(s) (FIZ) were developed to provide a broadly based ecological classification of the forest land in British Columbia. FIZ closely follow the early biogeoclimatic zones developed by Dr. Krajina. The province of British Columbia is split into 12 FIZ zones.
Range Units
A Range Unit is an administrative area established to assist in the management of the range program. Typically made up of one or more pastures. Generally, one or more Range Units make up a Stock Range
Built-Up Area
Built-Up Areas are man-made land cover features, ranging from small hamlets at rural cross roads to large cities. This product requires the use of geographic information system (GIS) software.
Up-to-date ecoforest map
__The link: *Access the data directory* is available in the section*Dataset Description Sheets; Additional Information*__.The **up-to-date ecoforest map (formerly “with disturbances”) ** is the result of the interpretation of aerial photographs and control points in the field as part of the ecoforest inventory of southern Quebec.This mapping presents the various forest and ecological characteristics of the forest territory and corresponds to the portrait of the forest up to the year the aerial photograph was taken (mapping cycle of about 10 years). Next, the outlines and nature of recent disturbances (forest interventions, fires and other disturbances) are then integrated annually. The fifth mapping cycle has been under way since 2015.This map covers almost all of the territory south of the 52nd parallel of Quebec's public and private forest. It is distributed by map sheet at a scale of 1/250,000. The minimum mapping area is 4 ha for stands and 0.1 ha for disturbances.__ ⚠️ 1) Note that__ the disturbance maps used to update the updated ecoforest map are also distributed separately on Data Quebec. Here is the list of these maps:+ ** [Forest fires] (https://www.donneesquebec.ca/recherche/dataset/feux-de-foret) **+ ** [Harvesting and other silvicultural interventions] (https://www.donneesquebec.ca/recherche/dataset/recolte-et-reboisement) **+ ** [Epidemics, windfalls and ice storms] (https://www.donneesquebec.ca/recherche/dataset/epidemies-chablis-et-verglas) **+ ** [Forest Infrastructure] (https://www.donneesquebec.ca/recherche/dataset/infrastructures-en-milieu-forestier) **__ ⚠️ 2) Note that__ disturbances are prioritized according to the nature of the layer and respect for the chronology of events. Only the last original or partial disturbance is kept in the updated ecoforest map. You should refer to the annual update layers, listed in __Note 1__, to access the full history of disturbances.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**
Niagara River Caged Mussel Biomonitoring Program
Data are contaminants in tissue of caged mussels put in the river for 3 weeks at about 25 stations located on the Canadian and US side of the river. The main objective of the study is to identify contaminant sources, or source areas requiring more detailed follow-up investigations, based on the level of contaminants in the mussels. Compounds monitored include: * organochlorinated pesticides * Polychlorinated biphenyls * dioxins/furan * chlorinated benzenes * Polycyclic aromatic hydrocarbons * industrial organic compounds
Monitoring the quality of river and river water
The theme on physicochemical monitoring of rivers and rivers presents data from all stations in networks monitoring water quality in rivers in Quebec and the St. Lawrence River.The purpose of networks for monitoring general water quality is to characterize, using current physicochemical and bacteriological parameters, the quality of water in spatial terms and to monitor the evolution of this quality over time. For the regular monitoring of the general quality of river and river water, the parameters measured are: total phosphorus, total nitrogen, nitrites and nitrates, ammonia nitrogen, chlorophyll a, pheopigments, faecal coliforms, faecal coliforms, turbidity, suspended matter, pH, conductivity, dissolved organic carbon and temperature. This data is used to calculate the Bacteriological and Physicochemical Water Quality Index (IQBP), a water quality classification index.The data set on physicochemical monitoring of rivers and rivers also includes the drainage areas of some of the stations. The attribute table provides a compilation of land use by category for the last year available at the time the data was generated. Follow-up is carried out annually.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**
Fish Pathogen Management Zone Boundary Source
The Fish Pathogen Boundary Segment layer forms the boundary of the Fish Pathogen Management Zones and is made up of segments that were taken from the Ontario Road Network. This data class was created in order to store the road name information associated with each segment that makes up the fish pathogen management zone boundary. This product requires the use of geographic information system (GIS) software.
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
Regional Ice-Ocean Prediction System
The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution
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