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We have found 211 datasets for the keyword "espèce envahissante". You can continue exploring the search results in the list below.
Datasets: 103,468
Contributors: 42
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211 Datasets, Page 1 of 22
Invasive Species Observations
Polygon geometry for an invasive species observation. The polygon represents the area of the observation. An observation of an invasive species can be either positive or negative. Positive indicates the species was present at the time of the observation. Negative indicates the species was not present at the time of the observation. Dataset currently only includes plant species.
Sentinel - Invasive exotic species
This theme presents observations of invasive exotic species (IAS)transmitted and validated using the Sentinelle tool, an EEE detection system.An invasive exotic species is a plant, animal or microorganism (virus,bacteria or fungi) that are introduced outside of their natural range. Sonestablishment or its spread may pose a threat to the environment,the economy or society. The species listed are species of fauna and floraconcerning (or potentially worrying) for Quebec's biodiversity. Ellesinclude EEE present in Quebec and EEE not listed in Quebec atmonitor.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**
Aquatic Invasive Species European Green Crab (Carcinus maenas) Monitoring, British Columbia
Aquatic invasive species pose economic and ecological threats to Canada's coastal waters. In response, Fisheries and Oceans Canada (DFO) has established monitoring programs to detect and track the spread of aquatic invasive species, including European Green Crab, in Canadian waters. Fukui traps have been deployed annually at both new and long-term monitoring locations throughout coastal British Columbia.
Number of Species at Risk
This map, created in 2002 using ArcGIS, describes the number of animal and plant species that are at risk in Alberta. 'Species at risk' is a term used by the Committee on the Status of Endangered Wildlife in Canada (COSEWIC) that includes the following categories of plants and animals:Extirpated species - no longer in the wild in Canada.Endangered species - species facing imminent extirpation or extinction.Threatened species - likely to become an endangered species if nothing is done to reverse factors leading to its extirpation or extinction.Species of special concern - species that may become threatened or endangered due to biological characteristics or identified threats.
Rocky Mountain Ridged Mussel Distribution Survey Data
Survey data depicting the presence of the endangered Rocky Mountain Ridged Mussel (Gonidea angulata) from 2008-2011. Surveys were conducted by different researchers at different locations.
BC Historical Fish Distribution - Points (50,000)
Fisheries Information Summary System (FISS) layer of Historic (pre 2001) Fish Distribution Points of BC Streams. Points represent site locations where a fish species is rearing, spawning or observed or where a point is located at the mouth of a stream it indicates the presence of a fish species somewhere in the stream as a whole. Georeferenced to the stream centreline network layer of the 1:50,000 scale BC Watershed Atlas.
CDC Species of Conservation Concern
This dataset shows the known and previously reported location of rare plants and animals in Yukon Territory as mapped by the Yukon Conservation Data Centre. The Yukon Conservation Data Centre follows NatureServe methodology that depicts Element Occurrences (an area of land and/or water in which a species is or was present)(EO) as polygons. These polygons include locational uncertainty. The locational uncertainty incorporates inaccuracies that can be associated with the collection of location information, such as inaccurate GPSs or vague locational descriptions. Data are mapped at 1:50,000 or larger scale. A user manual describing the data can be found at [https://mapservices.gov.yk.ca/geoyukon/Understanding_Yukon_Conservation_Data_Centre_Data.pdf](https://mapservices.gov.yk.ca/geoyukon/Understanding_Yukon_Conservation_Data_Centre_Data.pdf) . For detailed information about particular element occurrences, contact the Yukon Conservation Data Centre at [yukoncdc@yukon.ca](mailto:yukoncdc@yukon.ca) or 867-667-3684.It is very important to note that the absence of mapped locations in an area of interest does not necessarily mean that there are no species of conservation concern present; only that there are none currently recorded in the database. A detailed assessment of the site conducted during the appropriate season by qualified biologists is the only way to confirm presence or absence of a species of conservation concern.Distributed from [GeoYukon](https://yukon.ca/geoyukon) by the [Government of Yukon](https://yukon.ca/geoyukon) . 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)
Evaluation of Methods for Identification of Early Detection Monitoring Sites Based on Habitat Suitability for Invasive European Green Crab in the Salish Sea, British Columbia
The European Green Crab (EGC) is a high-risk global invader that can devastate coastal marine ecosystems by displacing native species, degrading and disturbing native habitats (including eelgrass), and altering food webs. EGC has recently been detected in the Canadian portion of the Salish Sea. As EGC continue to establish in the region, identifying locations on which to focus limited monitoring resources is an ongoing problem given the vast amount of coastal habitat that could be occupied by the species. A variety of methods can be used to identify highly suitable habitats for EGC at a range of spatial scales. However, none have been evaluated in the context of informing EGC management, nor for the Canadian portion of the Salish Sea. Here we evaluate five individual methods developed to assess habitat suitability for EGC (i.e., MaxEnt, stochastic gradient boosted linear and logistic regression models, a rapid site selection tool, and a qualitative site assessment and ranking tool) and five derived models generated by multiplying the outputs of these individual models. Each model relied on slightly different environmental and habitat input variables affecting EGC invasion success. Thus, rather than identifying a single preferred model, we used a multi-model ensemble approach to identify sites that are expected to be most suitable for the species. The ensemble approach likely increases predictive power by including both environmental and habitat characteristics when identifying priority sites for early detection/monitoring for EGC in the Canadian waters of the Salish Sea. Finally, we describe how the models evaluated here, alone or in combination, could be used to identify additional sites either within the Salish Sea or into new areas.This dataset contains predicted habitat suitability from five models for European Green Crab at beaches in the Salish Sea (British Columbia, Pacific Region).
Eastern Canada Commercial Fishing
Dataset of species/gear type commercial fisheries from 2012 to 2021 in the Eastern Canada Regions. Only fish harvested from the NL, Maritimes, Gulf, Quebec and Eastern Arctic regions are included (Species Sought).The data was obtained from Statistical Services, Fisheries and Oceans Canada (DFO) and consists of commercial species/gear type landings data from 2012 to 2021 taken from Northwest Atlantic Fisheries Organization (NAFO) Subareas 0, 2, 3, 4 and 5 and fished in the NL, Maritimes, Gulf, Quebec and Eastern Arctic regions. The layer was created by overlaying a 2 minute hexagonal grid (approx. 10km2 cell) on species/gear type commercial fisheries point data and summing the total landings by weight reported for each cell over the ten year period. Therefore, the value of each grid cell is equal to the total species/gear type landings in kg from 2012 to 2021 for the area, and may represent many fishing events from several vessels over the ten year period. All landings are from Canadian vessels greater than 35-ft, and does not include information pertaining to international fishing vessels (i.e., St. Pierre). Individuals should exercise caution when interpreting this data. Data has not been altered and is mapped from the original logbook entry for each record prior to amalgamation. Data may contain errors such as inaccurate or nonviable coordinates, landed weights and/or species identification. For example, cases of fishing events reported in a NAFO Division with corresponding coordinates falling outside that particular NAFO Division or fishing events which appear to be located on a land mass due to rounding errors in the original entries. Such cases were excluded from the dataset. Only one location is given for each fishing event; therefore, a fishing activity that would normally cover a large area (i.e., trawling) is only shown in a single location. Some species may not include all records or locations where activity is taking place due to regional differences in permissions for mapping, or because the fishery is only partially georeferenced (e.g. Lobster). The locations/areas shown should only be used as an estimation of fishing intensity and a general guide of where particular species/gear type fishing occurs. This dataset has been privacy screened to comply with the Government of Canada's privacy policy. Privacy assessments were conducted to identify NAFO unit areas containing data with less than five vessel IDs, license IDs and fisher IDs. If this threshold was not met, catch weight locations have been withheld from these statistical areas to protect the identity or activity of individual vessels or companies. In some instances, permissions were obtained to map species or gears with a limited number of vessels, licenses, or fisher ids. The withheld areas are indicated by the unit area that has been removed and given a weight of -9999.
BC Wild Mountain Sheep Registry - Distribution
A spatial representation of the general distribution of wild mountain sheep (bighorn and thinhorn sheep) in British Columbia. Populations that extend into neighbouring provinces and states are also included. The distribution polygons are divided by species into bighorn and thinhorn sheep.
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