List of ZAP points deployed on the territory of Estrie**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Location of parking meters in the City of Rimouski with the maximum parking duration.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

This report outlines the results of a project that created a series of maps tracking inshore historical Lobster fishing district boundaries from 1899 to present. This work has been part of Fisheries and Oceans Canada’s (DFO) Blue Economy Lobster Team (BELT) pilot project on the Lobster fishery. To provide the context for the use of historical information within fisheries research, this report provides a brief summation of the discipline of history, its purpose, and its methods. It also describes the different ways that historical data has been used to support the analysis of fisheries, and some of the ways that historians have integrated the techniques of natural and social sciences into their own work. It provides an overview of how the BELT has incorporated historical methods and methodologies into the team’s overall work. The report presents two sets of maps that outline geographical changes in Lobster fishing districts (called Lobster Fishing Areas after 1985) as well as changes in minimum legal size (MLS) and season length information. These maps help to inform a larger understanding of the historical Lobster fishery in the present-day Maritimes Region, and highlight several themes within the fishery. This includes the increasingly intensive regulation of the fishery over time, the inshore nature of the Lobster fishery for the majority of the twentieth century, the variability in the boundaries of Lobster districts over time, and the broad transition from a cannery-based market to a live Lobster market. The maps taken as a whole help to demonstrate consistency of the regulatory approach to Lobster over the twentieth century. However, there are limitations to the interpretive capacity of these maps, as more work should be done to investigate the specific reasoning behind why each change occurred. **Note: The outer boundaries depicted from 1899-1974 are not meant to represent areas where DFO or its predecessor departments had complete or authoritative control of the inshore fishery. In past regulations, districts were described as “on and along the coast.” The outer boundaries assigned to maps prior to 1985 were chosen to make the maps easy to understand relative to current lobster fishing areas.

Quad biking trails in Saguenay**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Species distribution models (SDMs) are tools that combine species observations of occurrence, abundance, or biomass with environmental variables to predict the distribution of a species in unsampled locations. To produce accurate predictions of occurrence, abundance or biomass distribution, a wide range of physical and/or biological variables is desirable. Such data is often collected over limited or irregular spatial scales, and require the application of geospatial techniques to produce continuous environmental surfaces that can be used for modelling at all spatial scales. Here we provide a review of 102 environmental data layers that were compiled for the entire spatial extent of Fisheries and Oceans Canada’s (DFO) Maritimes Region. Variables were obtained from a broad range of physical and biological data sources and spatially interpolated using geostatistical methods. For each variable we document the underlying data distribution, provide relevant diagnostics of the interpolation models and an assessment of model performance, and present the final standard error and interpolation surfaces. These layers have been archived in a common (raster) format at the Bedford Institute of Oceanography to facilitate future use. Based on the diagnostic summaries in this report, a subset of these variables has subsequently been used in species distribution models to predict the distribution of deep-water corals, sponges, and other significant benthic taxa in the Maritimes Region. Cite this data as: Beazley, Lindsay; Guijarro, Javier, Lirette; Camille; Wang, Zeliang; Kenchington, Ellen (2020). Characteristics of Environmental Data Layers for Use in Species Distribution Modelling in the Maritimes Region. Published July 2023. Ocean Ecosystems Science Division, Fisheries and Oceans Canada, Dartmouth, N.S. https://open.canada.ca/data/en/dataset/34a917cb-a0e3-403c-91c7-af3dc20628b1

Striped Bass critical habitat (St. Lawrence estuary population) defined by the analysis of available knowledge in 2011 and a scientific advice. Purpose The status of the Striped Bass population of the St. Lawrence Estuary is in constant evolution. It went from indigenous population until the end of 1960 to designated extirpated in Canada under the Species at Risk Act (SARA) in 2011. Still in 2011, the status of the population of the St. Lawrence Estuary was reassessed by the Committee on the Status of Endangered Wildlife in Canada (COSEWIC) following the Ministère des Ressources naturelles et de la Faune du Québec re-introduction efforts and was designated endangered (COSEWIC 2012). Under SARA, critical habitat must be designated for all threatened, endangered or extirpated species. Additional Information The analysis of available knowledge on habitat quality assessment and its use by the Striped Bass was realized using two research documents: Pelletier et al. (2010) and Robitaille (2010). These documents were then reviewed during a scientific peer review meeting in April 2010. A Recovery Strategy was also established in 2011. Pelletier, A.-M., G. Verrault, G. Bourget and J. Dussureault. 2010. Utilisation de l’habitat par les différents stades de développement de la population réintroduite de bars rayés (Morone saxatilis) de l’estuaire du Saint-Laurent. Ministère des Ressources naturelles et de la Faune du Québec, Direction de l’Expertise Faune-Forêt-Territoire du Bas-Saint-Laurent. 50 p. Robitaille, J. 2010. Assessment of Habitat Quality and Habitat Use by the Extirped Striped Bass Population (Morone saxatilis) of St. Lawrence Estuary, Quebec DFO Canadian Science Advisory Secretariat. Research Document. 2010/052. 22 p. DFO. 2011. Assessment of Habitat Quality and Habitat Use by the Striped Bass (Morone saxatilis) Population of the St. Lawrence Estuary, Quebec. DFO Can. Sci. Advis. Sec. Sci. Advis. Rep. 2010/069. DFO. 2011. Robitaille, J., M. Bérubé, A. Gosselin, M. Baril, J. Beauchamp, J. Boucher, S. Dionne, M. Legault, Y. Mailhot, B. Ouellet, P. Sirois, S. Tremblay G. Trencia, G. Verreault and D. Villeneuve. 2011. Recovery Strategy for the Striped Bass (Morone saxatilis), St. Lawrence Estuary Population, Canada. Species at Risk Act Recovery Strategy Series. Ottawa : Fisheries and Oceans Canada. xi + 51 p. The available information on habitat used and frequented by the St. Lawrence Estuary striped bass population has been reviewed later than 2011 and can be consulted at: https://open.canada.ca/data/en/dataset/db177a8c-5d7d-49eb-8290-31e6a45d786c

The Nova Scotia Lake Survey program is a partnership initiative between the Department of Environment and Climate Change and the Department of Fisheries and Aquaculture to inventory lakes throughout the province determining baseline water quality, in support of both sport fisheries and water resource management areas. The following weblink connects to a Department of Environment and Climate Change web map that includes the locations of the monitored lakes within the province and an alternative method for downloading the same lake chemistry dataset: http://nse.maps.arcgis.com/apps/webappviewer/index.html?id=7ded7a30bef44f848e8a4fc8672c89bd"

Delimitation of protected areas and groundwater withdrawals for the territory of the City of Rouyn-Noranda**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Ontario's Crown forest is divided into geographic planning areas, known as forest management units. Most of these units are managed by individual forest companies under a Sustainable Forest License. A forest management unit is identified by an assigned official name (e.g., Black Spruce Forest) and a unique numeric code. Before any forestry activities can take place in a management unit, there must be an approved forest management plan in place for each management unit. Instructions for downloading this dataset: This product requires the use of GIS software. *[GIS]: geographic information system

Mapping of the perimeter of the city center in the urban planning code (CDU) on the territory of Laval.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**