PosterPDF Available

Next Generation Planning - Structuring and Sharing Stressors Data for the St. Lawrence

Authors:

Abstract

Gathering data for large scale, systematic research initiatives such as regional multi-stressor analyses can be a very challenging - not to say painful - process. On one hand, there is an overwhelming wealth of data available, while on the other hand, some required data remain largely unavailable or inaccessible. Coupled with political intricacies, such as the multi-jurisdictional division of the St. Lawrence, the data gathering process can quickly become intractable. To address this issue in the context of ecosystem based management, we launched an open data platform focused on the spatial distribution and intensity of stressors in the St. Lawrence. The objective of this platform is to initiate a community project based on transparency, inclusivity and adaptiveness, and to promote existing environmental monitoring programs while identifying key knowledge gaps. We believe that this initiative is urgently needed for the benefit of both scientific research and ecosystem based management initiatives within the St. Lawrence. The central section of the poster is a web application that will be shortly available online and that allows users to visualize and combine stressors data in the St. Lawrence. This interactive poster won a prize for the best conference poster by a public vote.
Monitoring
-Promote & consolidate existing initiatives
-Regional standardization of protocols & practices
-Identify indicators of stress
-Monitor temporal trends
CONTEXT ST. LAWRENCE
BENEFITS NEXT STEPS
OPEN DATA PLATFORM – DISTRIBUTION AND INTENSITY OF STRESSORS IN THE ST. LAWRENCE
References: aHalpern et al. 2015 Nat Comm 6:7615 ! bFranzoni et Sauermann 2014 Res Policy 43:1-20 ! cReichman et al Science 331:703-705 ! dPoisot et al 2013
Ideas Ecol Evol 6:11-19 ! eMargules et Pressey 2000 Nature 405:243-255 ! fKeith et al 2011 Biol Cons 144:1175-1178 ! gCôté et al 2016 Proc R Soc B 283:20152592 !
hHochberg 2014 Ideas Ecol Evol 7:77-83 ! iRennie 2016 Nature 535:31-33
Acknowledgements: We thank the Fond de Recherche Québécois Nature et Technologie (FRQNT) and the Natural Science and Engineering Council of
Canada (CRSNG) for financial support. This project is also supported by Québec Océan, the Quebec Centre for Biodiversity Science (QCBS), Takuvik, and the
Notre Golfe and CHONeII networks.
GUIDING PRINCIPLES
NEXT GENERATION PLANNING
Structuring and Sharing Stressors Data for the St. Lawrence
D. Beauchesne1, R. Daigle2, D. Gravel3, S. Bélanger1, P. Bernatchez1, C. Chion4, P. Galbraith5,
B. Halpern7, C. Lavoie2, C.McKindsey5, M. Starr5, C. Tremblay6, S. Vissault3, P. Archambault2
1Université du Québec à Rimouski, 2Université Laval, 3Université de Sherbrooke, 4Université du Québec en Outaouais,
5Department of Fisheries and Oceans Canada, 6St. Lawrence Global Observatory, 7University of California
Unite and include b Open, transparent & replicable c,d Adaptive e,f,g Peer-review h,i
How?: Develop & invite collaborations at all stages
Why?: - Vast & diverse expertise required
- Crowd science to mobilize expertise
- Create community-led initiative
How?: Share all data, metadata, methods & code
Why?: - Need to increase data accessibility
- Accelerate research & decrease costs
- Adopt & respect data-sharing policies
How?: Cyclic review & updates of platform content
Why?: - Adaptive management for uncertainty
- Commit to adaptive monitoring and data
reporting
- Adaptive monitoring tools needed
How?: Submit content to a peer-review process
Why?: - Ensure robustness & quality
- Increase credibility
- Uphold standards of scientific research
Collaboration
-Multi-jurisdictional collaborative capacity
-Draw on the knowledge and efforts of a wide
range of contributors
-New avenues of scientific inquiry and funding
E!ciency
-Decrease costs & effort duplication
-Increase research speed
-Identify key knowledge gaps
-Prioritize & optimize efforts
Data management
-Data availability & accessibility
-Produce comparable & robust metadata
-Regional aggregation of local datasets
An intractable process
Data gathering for large-scale systematic
initiatives
-Information overload
-Data unavailability and inaccessibility
-Multi-jurisdictional management
Increasing demand for holistic datasets
-In support of regional adaptive management
-Global environmental stress using coarse data a
-No existing regional initiative
-
Solution: Adaptive, open data, multi-stressors
platform
Uniquely stressed
-Unique and diverse ecosystem
-Eastern American commercial gateway
-Major commercial, social and management
investments
- Unknown effects of multiple stressors
Uniquely managed
-5 provincial jurisdictions
-1 federal jurisdiction
-Dozens of research institutions
-Countless stakeholders
- Scattered expertise & heterogeneous data
management processes
Continue…
-Build platform content
-Structuring platform
-Establishing standard metadata
-Identifying key knowledge gaps
-Developing collaborations & partnerships
Contact us to collaborate!
Expand…
-Share content on OGSL website (ogsl.ca)
-Concrete mechanisms to adhere to guiding
principles
-Baseline evaluation of cumulative stress
-Use in broader initiatives, e.g.:
-Ecosystem-based management
-Cumulative impacts assessment
-Canadian Ocean Health Index
david.beauchesne@hotmail.com!*!!
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