Published September 16, 2024 | Version 2.0
Report Open

Low-Tech Process-Based Restoration Design and Monitoring Protocol: Standard Methods for Developing Project Designs and Assessing Riverscape Health

Description

Summary

The following document provides a set of definitions and methods to describe the natural and anthropogenic characteristics of riverscapes. The intent is to offer riverscape researchers and restoration practitioners with a set protocol for planning and communicating the design and monitoring of Low – Tech Process – Based Restoration (LTPBR) projects. LTPBR practices are intended to invoke a more resilient riverscape, capable of maintaining a diverse set of self-sustaining fluvial and riparian processes that benefit aquatic, terrestrial, and anthropogenic systems. The use of self-sustaining processes as a restoration target presents a new set of challenges for defining and framing restoration objectives, monitoring outcomes, and adaptive management strategies that facilitate achievement of those objectives. This document describes a set of methods that has been designed to meet these challenges by elaborating new and effective ways to measure project outcomes and quantify their success at the appropriate spatiotemporal scales. Following the precedent and ethos set by LTPBR practices themselves, this protocol also aims to be an accessible and economic tool that facilitates the widespread planning, implementation, and adaptive management of river restoration efforts.

Notes

This protocol is likely to be updated through time.  This protocol is intended to be implemented with the Riverscapes Studio in QGIS (QRiS - https://qris.riverscapes.net). The protocol was written for QRiS 0.9 to 1.0.

This document supersedes version 1 of the LTPBR Protocol:

  • Weber, N., Wathen, G., & Bouwes, N. (2021). Low-Tech Process-Based Restoration - Project Implementation and Monitoring Protocol - Version 1 (1.0). Zenodo. https://doi.org/10.5281/zenodo.10631553

 

Files

LTPBR Protocol V2.pdf

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Additional details

Related works

Is new version of
Report: 10.5281/zenodo.10631553 (DOI)

Funding

Bureau of Land Management
Supporting BLM Low-Tech Process-Based Restoration of Riverscapes L22AS00154
Bureau of Land Management
Low-Tech Process-Based Restoration of Riverscapes Support L20AC00514
US Forest Service
Riverscape Network Analysis and Comparison with Reach-Scale Monitoring 19-CS-11046000-026

Software

Repository URL
https://github.com/riverscapes/qris
Programming language
Python
Development Status
Active