The Global Restore Project: Data Sharing for Shared Success

Interested in watching this video? You have two options:

This video is part of the SER Conference Library. If you want to learn more about this resource please see this guide.

Buy a pass

You can purchase a pass for this video on our website.

Already purchased access to this video, or want to redeem credit for a new order? Just enter your order number or email below:


SER Member?
Sign in below to get unrestricted access:



Authors:
Emma Ladouceur , Nancy Shackelford

Publication Date:
2021

Abstract/Summary:
The Global Restore Project (GRP) aims to bring together restoration researchers globally to pool existing data and knowledge for a deeper understanding of restoration science. Since our launch in 2019, we have partnered with the Global Arid Zone Project (GAZP), to bring together restoration data across global aridity gradients. We are collecting vegetation community monitoring data from actively restored (where seeding or planting treatments have been applied), passively restored and undisturbed remnant reference habitats for a rich, flexible, comparative framework to assess success. We are bringing together fragmented datasets collected over time by different teams, connecting references with local restoration and are developing tools for practitioners to be able to use. We envision that identifying spatial and temporal patterns of restoration success and failure has the power to inform predictive restoration science, to improve outcomes and reduce risk in restoration projects, and inform practical applications and policy. We will make these data completely open access and available to the community wherever possible, and intend to continue to grow these resources and tools over time. Here, we give an update on progress made, on our current status and invite interested people to reach out to us to chat about the many opportunities to get involved.

Resource Type:
Conference Presentation, SER2021

Pre-approved for CECs under SER's CERP program

Source:
SER2021