Fisheries and Oceans Canada (DFO) has been conducting surface water trawl surveys since 1992 in the coastal waters of British Columbia, Washington, Oregon and Alaska and in the high seas of the Gulf of Alaska. These surveys initially focused on determining the migratory patterns (1992-2002) and on the growth and physiology (2003-2016) of juvenile Pacific Salmon. Data collected in shelf and slope waters at depths less than 400 meters off Washington and Oregon State are part of this larger survey series, but are limited to 1999-2001. These surveys focused on determining the migratory patterns of juvenile Pacific Salmon and had funding support from the Bonneville Power Administration as part of the 1995-2011 Canada-USA Salmon Shelf Survival Study. The intent of that study was to monitor and evaluate the effects of ocean conditions on the distribution, migration, growth, and survival of Pacific salmon during their first ocean year, and estimate the subsequent impacts on abundance of Chinook salmon adults returning to the Columbia River system.

Fisheries and Oceans Canada (DFO) has been conducting surface water trawl surveys since 1992 in the coastal waters of British Columbia, Washington, Oregon and Alaska and in the high seas of the Gulf of Alaska. Data collected in shelf and slope waters of Alaska to depths less than 400 meters are part of this larger survey series, but are limited to 1995-2011. These surveys focused on determining the migratory patterns (1992-2002) and on the growth and physiology (2003-2011) of juvenile Pacific Salmon. The surveys had funding support from the Bonneville Power Administration as part of the 1995-2011 Canada-USA Salmon Shelf Survival Study. The intent of that study was to monitor and evaluate the effects of ocean conditions on the distribution, migration, growth, and survival of Pacific salmon during their first ocean year, and estimate the subsequent impacts on abundance of Chinook salmon adults returning to the Columbia River system.

Acoustic telemetry allows detailed observations of the movement behaviour of many species and as tags get smaller, smaller organisms may be tagged. The number of studies using acoustic telemetry to evaluate marine invertebrate movement is growing, but novel attachment methods include unknowns about the effects of tagging procedures on individual survival and behaviour. This study compared methods of tag attachment on green sea urchins (Strongylocentrotus droebachiensis) to determine the feasibility of using acoustic transmitters to track echinoid movement. Four tagging methods were compared in the lab and tag retention, urchin condition, and survival analysed. Two tagging methods (Dyneema® fishing line and T-bar tags) were evaluated in the field using an existing acoustic telemetry array. Urchins were tagged and the study area revisited one week and 2 months post-release by scuba divers to estimate movement and tag retention. The best methods in the lab, with high tag retention, survival, and minimal effects on urchin condition, were fishing line methods. T-bar tags, although showing high tag retention, caused significant mortality and had deleterious long-term effects on urchin condition and behaviour. After 2 months in the field, as in the lab, fishing line was a more effective tagging method. Urchins tagged with fishing line showed increased estimates of space occupancy compared to T-bar-tagged urchins and a single fishing-line tagged individual was found by divers in good health after 80 days. Combined, these laboratory and field results demonstrate the feasibility of using acoustic telemetry to observe urchin movement. Results strongly suggest that surgical attachment methods that minimize injuries at the attachment site should be prioritized for echinoid tagging studies. Together, lab and field tests indicate that acoustic telemetry is a promising method to examine marine echinoid movement over ecologically relevant spatial and temporal scales.The data available includes the laboratory data (tag retention, survival, diameter, wet weight, gonad weight and condition/righting time) and the field data (metadata and acoustic telemetry detections for tagged individuals, results of diver searches and 2-day estimates of movement measured in the field). Data from the laboratory experiment and diver observations in the field have been verified and undergone a control for quality. Acoustic telemetry detections are raw detection files (unfiltered); see the published article for a description of how the data were treated for analyses (https://doi.org/10.1186/s40317-022-00309-8).

This 4th edition Plant Hardiness Zones map shows updated zones related to perennial plant survival in Canada. The map is based on a formula using seven climate variables that influence plant survival: 1. Monthly mean of the daily minimum temperatures of the coldest month. 2. Mean frost-free period above 0°C in days.3. Amount of rainfall from June to November.4. Monthly mean of the daily maximum temperatures of the warmest month. 5. A winter harshness index related to rainfall in January.6. Mean maximum snow depth.7. Maximum wind gust in 30 year period.The original map was developed by Agriculture and Agri-Food Canada in the early 1960s based on average climate values from 1930 to 1960. This new map uses 1991 to 2020 averages. The map shown to the left of this map shows an alternative plant hardiness zone approach using just one climate variable: average extreme minimum temperature for the period 1991 to 2020. This was originally developed by scientists at the United States Department of Agriculture (see https://www.usna.usda.gov/science/plant-hardiness-zone-map/). The development of these maps was made possible through a collaborative effort by scientists at Natural Resources Canada’s Canadian Forest Service, Environment Canada, and Agriculture and Agri-Food Canada. A paper describing the research, “Updated plant hardiness zones for Canada and assessment of change over time”, can be found in Scientific Reports, Vol. 15(1), 22774 ( https://doi.org/10.1038/s41598-025-00931-5).These maps were produced by the Canada Centre for Mapping and Earth Observation, Natural Resources Canada.To view an interactive version of this map and for more information on plant hardiness zones in Canada, please go to: https://www.planthardiness.gc.ca.

Polar cod (Boreogadus saida), Atlantic cod (Gadus morhua), and Greenland cod (Gadus macrocephalus) are prominent gadid species within the northwest Atlantic Ocean in terms of their ecological and socio-economic importance but it is unclear how climate-induced changes in ocean temperature may alter their distributions by the end of the century (2100). We used physiologically based species distribution models to predict how ocean warming will influence the availability of suitable habitat for early life-stages in these marine gadids. We applied CMIP5 ocean temperature projections to egg survival and juvenile growth models for Polar cod, Atlantic cod, and Greenland cod to create predicted suitability raster surfaces for these metrics across four climatology periods (1981–2005, 2026–2050, 2051–2075, 2076–2100). The analysis focused on the projected changes in temperature in ocean shelf areas where ocean depth is ≤400 m. We created an integrated habitat suitability index by combining the suitability surfaces for egg survival and growth potential to predict areas and periods where thermal conditions were suitable for both life stages. The resulting surfaces indicate that suitable thermal habitat for the juvenile life stages of all three species will shift poleward, but the magnitude of the shift and the overall area of thermally suitable habitat remaining will differ across species and life stages through time. Modelled layers are provided in NetCDF format by metric (egg survival, growth potential, habitat suitability). Data layers for Polar cod, Atlantic cod, and Greenland cod are included within each NetCDF file as variables across time. Note that in this study we refer to Gadus macrocephalus/ogac as Greenland cod since Gadus ogac is thought to be a junior synonym of Gadus macrocephalus (Carr et al., 1999). For more details on the methods and results for this analysis see Cote et al. (2021).References:Carr, S. M., Kivlichan, D. S., Pepin, P., & Crutcher, D. C. (1999). Molecular systematics of gadid fishes: implications for the biogeographic origins of Pacific species. Canadian Journal of Zoology, 77(1), 19–26. https://doi.org/10.1139/cjz-77-1-19Cote, D., Konecny, C. A., Seiden, J., Hauser, T., Kristiansen, T., & Laurel, B. J. (2021). Forecasted Shifts in Thermal Habitat for Cod Species in the Northwest Atlantic and Eastern Canadian Arctic. Frontiers in Marine Science, 8(November), 1–15. https://doi.org/10.3389/fmars.2021.764072

This project was completed by the Salmonids Section in the Newfoundland and Labrador Science Branch of Fisheries and Oceans Canada (DFO). The Coastal Environmental Baseline Program has supported efforts in 2018 and 2019 of tagged Atlantic salmon smolts leaving the Bay de L’eau River and Rushoon River region of Placentia Bay. This was part of a larger four year tracking study in this region (2018, 2019, 2021, 2022) trying to improve DFO’s understanding of the residency, survival, and migration routes of Atlantic salmon smolts during the first months at sea within northwest Placentia Bay. As of spring 2023, four years of detection data were being processed with the goal of presenting this work at the next Atlantic salmon CSAS meeting and developing a primary publication. This record contains the locations there smolt were tagged in Placentia Bay, NL.

The Social Vulnerability component of the National Human Settlement Layer (NHSL) includes information about broad spatial patterns of social vulnerability at the neighbourhood scale, and indicators about the capacities for a community to withstand and recover from disaster events based on intrinsic characteristics of housing, family structure, individual autonomy and financial agency.Information in the model provides a means of comparing relative levels of social vulnerability from one region to another across Canada and helps to identify specific dimensions within a community that contributes to their relative levels of social vulnerability. This information is not intended for site-specific study, but instead to understand broad patterns of social characteristics and vulnerability across multiple census dissemination areas.

The B.C. Conservation Data Centre’s spatial view of publicly available, known locations of species and ecological communities at risk. This spatial view is split into the "Publicly Available Occurrences" layer and "(Extirpated and Historical) Publicly Available Occurrences" layer. The Extirpated and Historical layer includes element occurrences that have a last observation date greater than 40 years ago and element occurrences that are extirpated due to general habitat loss or degradation of the environment in the area. Use the field ‘Rank Description’ to differentiate between Historical and Extirpated element occurrences in this layer. All element occurrences are polygons: the size of the polygon usually reflects the locational uncertainty associated with the source data, represented with varying sized circles. Some polygons may be larger to reflect the actual area covered by the element occurrence. The field "Representational Accuracy" is used to communicate how accurately the polygon reflects the actual area covered by the element. If you do not find an element occurrence in your area of interest, this means there are none currently mapped in the CDC database. The best way to verify whether an area contains a species or ecosystem at risk is to have do a detailed assessment of the property during the appropriate season.

"Fall" missions occur primarily in October and November, but sets from September and December are also present in the data. Collected data includes total catch in numbers and weights by species. Length frequency data is available for most species, as are the age, sex, maturity and weight information for a subset of the individual animals. Other data such as ageing material, genetic material, and stomach contents are often also collected, but are stored elsewhere."Fall" cruises occur in September, October, November and December.Cite this data as: Clark, D., Emberley, J. Data of Maritimes Fall Research Vessel Survey. Published January 2021. Population Ecology Division, Fisheries and Oceans Canada, Dartmouth, N.S. https://open.canada.ca/data/en/dataset/5f82b379-c1e5-4a02-b825-f34fc645a529

Data show where pathogens - fungal, bacillial or viral - have caused damage by reducing growth rates, tree vigor or have killed trees. Examples of forest diseases include White Pine Blister Rust, Armillaria Root Rot etc. The Government of Ontario tracks forest damage events to help proactively manage the detrimental effects to our forests. We monitor the threat and spread of invasive forest pest insect species in Ontario. The data is also important to the Forest Management Planning process in calculating timber volume loss within affected areas. This product requires the use of geographic information system (GIS) software.