RESPECT response to the Ecosystem Restoration Code survey
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
RESPECT response to the Ecosystem Restoration Code survey | Zenodo Skip to main Communities My dashboard Log in Sign up Zenodo is currently experiencing slowness and intermittent outages due to heavy automated traffic from bots and AI crawlers. We are aware of the problem, and our team is focused on stabilizing the service. Thank you for your patience. RESPECT - Rapid Engagement with Stressed Peatland Environments and Communities in Transformation Published June 26, 2025 | Version v2 Publication Open RESPECT response to the Ecosystem Restoration Code survey Authors/Creators Geelhoed, Miranda (Project member) 1 Robbie, Jill (Project leader) 1 Simpson (Needham), Katherine (Project member) 1 Show affiliations 1. University of Glasgow Description This document provides a response by the Rapid Engagement with Stressed Peatlands and Communities in Transformation (RESPECT) project to the Scottish Government’s Ecosystem Restoration Code (ERC) survey. It raises fundamental questions about the desirability and purpose of developing a biodiversity trading scheme, citing evidence that the ecological effectiveness of voluntary markets is often limited and compliance markets only work if supported by effective implementation, governance and enforcement. Our response highlights concerns that a focus on natural capital trading risks conflict with Scottish public policy goals relating to land reform, community wealth building, new entrants and a just transition. RESPECT calls for a fundamental discussion on the purpose of another code, as well as robust regulation and adequate public resourcing of independent monitoring, verification and enforcement. The interdisciplinary RESPECT project is part of the Land Use for Net Zero, Nature and People (LUNZ) Hub and is funded by the UKRI Land Use for Net Zero programme. It aims to produce data, methods, landholder tools and proposals for governance reforms to change agricultural practices on peatland. RESPECT brings together researchers across Scotland and England with expertise in the natural and social sciences, humanities and law. RESPECT will also produce a Peatland Triage Tool (PTT), providing decision-support for landowners, land managers, farmers and crofters (collectively ‘landholders’) seeking to undertake peatland restoration. Files RESPECT response -Ecosystem Restoration Code - clean and final.pdf Files (440.9 kB) Name Size Download all RESPECT response -Ecosystem Restoration Code - clean and final.pdf md5:71bd3190af2f05d398b4f56549f000c2 440.9 kB Preview Download Additional details Funding UK Research and Innovation Land Use for Net Zero Hub BB/Y008723/1 Dates Available 2025-06-26 120 Views 68 Downloads Show more details All versions This version Views Total views 120 50 Downloads Total downloads 68 23 Data volume Total data volume 31.8 MB 10.6 MB More info on how stats are collected.... Versions External resources Indexed in OpenAIRE Communities Keywords and subjects GEMET Peat Consultation Details DOI DOI Badge DOI 10.5281/zenodo.19948694 Markdown [](https://doi.org/10.5281/zenodo.19948694) reStructuredText .. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.19948694.svg :target: https://doi.org/10.5281/zenodo.19948694 HTML <a href="https://doi.org/10.5281/zenodo.19948694"><img src="https://zenodo.org/badge/DOI/10.5281/zenodo.19948694.svg" alt="DOI"></a> Image URL https://zenodo.org/badge/DOI/10.5281/zenodo.19948694.svg Target URL https://doi.org/10.5281/zenodo.19948694 Resource type Publication Publisher Zenodo Languages English Rights License Creative Commons Attribution 4.0 International The Creative Commons Attribution license allows re-distribution and re-use of a licensed work on the condition that the creator is appropriately credited. Read more Citation Export Technical metadata Created May 1, 2026 Modified May 1, 2026 Jump up About About Policies Infrastructure Principles Projects Roadmap Contact Blog Blog Support Help FAQ Developers REST API OAI-PMH Contribute GitHub Donate Funded by Powered by CERN Data Centre & InvenioRDM Status Privacy policy Cookie policy Terms of Use This site uses cookies. Find out more on how we use cookies Accept all cookies Accept only essential cookies
Related documents
- 33 U.S.C. § 2330a — Monitoring ecosystem restoration#585289
- 33 U.S.C. § 2906 — Monitoring of estuary habitat restoration projects#585125
- 43 U.S.C. § 1474d — Environmental Improvement and Restoration Fund#595963
- From data to decisions: The role of machine learning in precision ecological restoration.#988840
- Bridge: Automatically Mining Ecosystem-Scale API Update Mappings and Client Update Instances#799693
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive