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We have found 62 datasets for the keyword "écodynamique". You can continue exploring the search results in the list below.
Datasets: 104,050
Contributors: 42
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62 Datasets, Page 1 of 7
Economy
ECO - Business and economic (economy) Economic activities or employment. For example, resources describing labor; revenue; commerce; industry; tourism and ecotourism; forestry; fisheries; commercial or subsistence hunting; and exploration and exploitation of resources, such as minerals, oil, and gas.
Seasonal dissolved inorganic carbon climatology of the Canadian Pacific Exclusive Economic Zone from BCCM model (1993-2020)
Description:Seasonal mean dissolved inorganic carbon concentration from the British Columbia continental margin model (BCCM) were averaged over the 1993 to 2020 period to create seasonal mean climatology of the Canadian Pacific Exclusive Economic Zone.Methods:Dissolved inorganic carbon concentrations at up to forty-six linearly interpolated vertical levels from surface to 2400 m and at the sea bottom are included. Spring months were defined as April to June, summer months were defined as July to September, fall months were defined as October to December, and winter months were defined as January to March. The data available here contain raster layers of seasonal dissolved inorganic carbon concentration climatology for the Canadian Pacific Exclusive Economic Zone at 3 km spatial resolution and 47 vertical levels.Uncertainties:Model results have been extensively evaluated against observations (e.g. altimetry, CTD and nutrient profiles, observed geostrophic currents), which showed the model can reproduce with reasonable accuracy the main oceanographic features of the region including salient features of the seasonal cycle and the vertical and cross-shore gradient of water properties. However, the model resolution is too coarse to allow for an adequate representation of inlets, nearshore areas, and the Strait of Georgia.
Moisture Anomaly Index
The Moisture Anomaly Index (Palmer-Z) is an estimate of the moisture difference from normal (a 30-year mean). It attempts to express conditions for the current month regardless of what may have occurred before the month in question.
Modelled Mean Summer Circulation and Conditions in Bute Inlet, British Columbia
This dataset contains the outputs for Bute Inlet from two simulations shown in the publication "Fjord circulation permits persistent subsurface water mass in a long, deep mid-latitude inlet" by Laura Bianucci et al., DFO Ocean Sciences Division, Pacific Region (published in the journal Ocean Science in 2024). The Finite Volume Community Ocean Model (FVCOM v4.1) was run with two different sets of initial conditions for the Discovery Islands region of British Columbia, Canada, from May 24 to June 27, 2019. The "Baseline" simulation used observed initial conditions, while the "Sensitivity" simulation removed the observed cold subsurface water mass from the initial profiles. Here in this dataset, we provide 29-day averages of the following variables in a transect along Bute Inlet: potential temperature, density, along-inlet velocity, and Brunt-Väisälä frequency (N^2). The averaging properly removes the tidal effects.
Seasonal dissolved inorganic carbon climatology of the Canadian Pacific Exclusive Economic Zone from BCCM model (1981-2010)
Description:Seasonal mean dissolved inorganic carbon concentration from the British Columbia continental margin model (BCCM) were averaged over the 1981 to 2010 period to create seasonal mean climatology of the Canadian Pacific Exclusive Economic Zone.Methods:Dissolved inorganic carbon concentrations at up to forty-six linearly interpolated vertical levels from surface to 2400 m and at the sea bottom are included. Spring months were defined as April to June, summer months were defined as July to September, fall months were defined as October to December, and winter months were defined as January to March. The data available here contain raster layers of seasonal dissolved inorganic carbon concentration climatology for the Canadian Pacific Exclusive Economic Zone at 3 km spatial resolution and 47 vertical levels.Uncertainties:Model results have been extensively evaluated against observations (e.g. altimetry, CTD and nutrient profiles, observed geostrophic currents), which showed the model can reproduce with reasonable accuracy the main oceanographic features of the region including salient features of the seasonal cycle and the vertical and cross-shore gradient of water properties. However, the model resolution is too coarse to allow for an adequate representation of inlets, nearshore areas, and the Strait of Georgia.
Refineries - North American Cooperation on Energy Information
Facilities that separate and convert crude oil or other feedstock into liquid petroleum products, including upgraders and asphalt refineries.Mapping Resources implemented as part of the North American Cooperation on Energy Information (NACEI) between the Department of Energy of the United States of America, the Department of Natural Resources of Canada, and the Ministry of Energy of the United Mexican States.The participating Agencies and Institutions shall not be held liable for improper or incorrect use of the data described and/or contained herein. These data and related graphics, if available, are not legal documents and are not intended to be used as such. The information contained in these data is dynamic and may change over time and may differ from other official information. The Agencies and Institutions participants give no warranty, expressed or implied, as to the accuracy, reliability, or completeness of these data.
Blended Index – Long Term
The Blended Index (BI) is a model which employs multiple potential indicators of drought and excess moisture, such as the Palmer drought index, rolling precipitation amounts and soil moisture, and combines them into a weighted, normalized value between 0 and 100. The inputs and weights used in this model are subject to change periodically as it is optimized to best represent extent, duration and severity of impactful weather conditions. The blended index is deployed as two variations; short term (st) focusing on 1 to 3 months, and long term (lt) focusing on 6 months to 5 years.
Environmental Studies Research Fund Prescribed Regions
The Environmental Studies Research Fund (ESRF) Regions are legally described in Part I and Part II of the Schedule in the Environmental Studies Research Fund Regions Regulations in the Canada Petroleum Resources Act. This data collection is for illustrative purposes only and includes:• 1 dataset illustrating ESRF prescribed regions 1 to 31 as they are described in the ESRF Regions Regulations.• 1 dataset illustrating the areas where levies are no longer applied to ESRF prescribed regions. These areas include lands that are described in the ESRF Regions Regulations but have since been devolved to the Government of Yukon or the Government of Northwest Territories as part of the 2003 Yukon Devolution and 2014 Northwest Territories Devolution, respectively. Once the Yukon Act and Northwest Territories Act came into effect, lands subject to devolution were no longer considered frontier lands or Canada lands, and therefore no longer subject to ESRF levies under the Canada Petroleum Resources Act. The geospatial extents used in this dataset represent those identified in the Devolution Agreements. Future updates to Part II, section 3 of the Schedule in the ESRF Regions Regulations will reflect the Yukon and Northwest Territories Devolutions.• 3 maps (National, North, South).• 1 table compiling the historical levies for each ESRF prescribed region.Context:The Environmental Studies Research Fund (ESRF) is a research program which sponsors environmental and social studies designed to assist in the decision-making process related to oil and gas exploration and development on Canada's frontier lands. The ESRF is directed by a 12-member Management Board which includes representation from the federal government, the Canada-Newfoundland and Labrador Offshore Petroleum Board (C-NLOPB), the Canada-Nova Scotia Offshore Energy Regulator (CNSOER), the oil and gas industry, and the public. The ESRF is administered by a secretariat which resides in the Offshore Management Division in Natural Resources Canada.Since 1987, the ESRF has received its legislative mandate through the Canada Petroleum Resources Act. The ESRF regions are described in the Environmental Studies Research Fund Regions Regulations. As well, the Canada-Newfoundland and Labrador Atlantic Accord Implementation Act and the Canada–Nova Scotia Offshore Petroleum Resources Accord Implementation and Offshore Renewable Energy Management Act provide legislative direction in the southern ESRF regions.Funding for ESRF is collected annually through levies paid by lease-holding oil and gas companies active in a specific ESRF region. In accordance with the legislation, levies are recommended by the Management Board to the Ministers of Natural Resources and Crown-Indigenous Relations and Northern Affairs for approval. Levies in the southern regions in areas governed by an offshore Accord are subject to final approval by the respective offshore regulator (i.e., the C-NLOPB, or the CNSOER). Levies are calculated by multiplying the levy rate of a region by the number of hectares of land under lease.The ESRF has sponsored studies on biodiversity; environmental effects and monitoring; social and economic issues; ice, icebergs, and ice detection; oil spill research and countermeasures; sea bottom ice scour; sediment transport; Indigenous Knowledge; and waves.
Blended Index – Short Term
The Blended Index (BI) is a model which employs multiple potential indicators of drought and excess moisture, such as the Palmer drought index, rolling precipitation amounts and soil moisture, and combines them into a weighted, normalized value between 0 and 100. The inputs and weights used in this model are subject to change periodically as it is optimized to best represent extent, duration and severity of impactful weather conditions. The blended index is deployed as two variations; short term (st) focusing on 1 to 3 months, and long term (lt) focusing on 6 months to 5 years.
Ecozones
This dataset is used for national and coarse-scale provincial reporting such as analyses of climate, demographics and watersheds.
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