Did you know?
SLGO is the first integrated ocean observing system in Canada.
In collaboration with the St. Lawrence Global Observatory, this platform project seeks to provide a spatial description of stressors observed in the St. Lawrence (see stressors list), to initiate a community project based on transparency, inclusivity and adaptiveness, and to promote existing environmental monitoring programs while identifying key gaps in stressors description. This platform project has previously been presented in a perspective article on the evaluation of cumulative impacts and the systematic planning of resource use in the St. Lawrence.
The proposed platform has the following objectives:
This initiative seeks to create a unifying project allowing the development of a significant collaborative capacity between academic, governmental and private sectors in an attempt to evaluate environmental stressors observed in the St. Lawrence. As such, we are inviting any individual or organization interesting in collaborating with this project to contact us directly. We also warmly invite anyone wishing to comment, share data or suggest alternative methodological approaches to contact us.
Data accessibility and availability is typically a major restrictive challenge for anyone attempting to evaluate the state of a natural system. This initiative will enable easy access to crucial information in evaluating the presence and intensity of multiple stressors in the St. Lawrence.
Identifying essential stressor variables (ESV) will favour the priorization, the optimization and the standardization of deployed management efforts by allowing the use of variables that efficiently capture the effects of environmental stressors.
This multi-stressors platform will consolidate and promote precious environmental monitoring programs within an initiative seeking the systematic monitoring of the St. Lawrence. Multiple data sources describing St. Lawrence stressors are already partially or entirely available on the SLGO web portal. Those will be judiciously used within the multi-stressors platform.
This project will identify key knowledge gaps in order to eventually allow an exhaustive evaluation of stressors observed in the St. Lawrence. The identification of essential stressor variables will also target needed monitoring programs.
This platform seeks to adopt an adaptive approach that allows the integration of new data, methodologies and collaborators through time. This will guarantee the creation of a tool in constant evolution. The adaptive approach will also allow the platform to remain representative of methodological progress, increased data availability and of the improved general knowledge on the St. Lawrence and of the stressors affecting it.
To guarantee complete openness and transparency, the entirety of the material used to describe stressors (e.g. data, code, methodologies and indicators) will be available on the platform. This material will also be submitted to a review-like process to guarantee the quality and robustness of the description of stressors in the St. Lawrence.
This platform will be used to evaluate the annual trends in stressors intensity and distribution observed in the St. Lawrence.