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Monitoring & Reporting

Monitoring & Reporting

  • This guide, a publication of the Nueces River Authority, describes riparian areas and their management, discusses general riparian restoration guidelines, delves into special issues in these areas, and provides assessment and monitoring information. 

  • This paper discusses how scientifically sound monitoring and research programs have the potential to strongly influence how managers look at the Rio Grande bosque and restoration approahes. 

  • This technical reference applies to monitoring situations involving a single plant species, such as an indicator species, key species, or weed. It was originally developed for monitoring special status plants, which have some recognized status at the Federal, State, or agency level because of their rarity or vulnerability. Most examples and discussions in this technical reference focus on these special status species, but the methods described are also applicable to any single-species monitoring and even some community monitoring situations.
  • These resources, including a long-term management calculator, handbook, and factsheet are designed to help practitioners calculate how to budget for lasting conservation outcomes for restoration sites. 

  • This is a PowerPoint presented during a Riparian Monitoring Well Workshop that was held in Palisade, Colorado on March 18, 2013. The class was taught by Bruce Smith from Western Water & Land, Inc. 

  • While focused on Victoria, Australia, this guide provides any restoration practitioner with helpful information on highly efficient and cost effective revegetation methods. This publication aims to provide the practical 'know how' to help carry out your revegetation from start to finish. Section A covers the steps involved in a revegetation program, from planning and preparation to monitoring.
  • Christie et al. 2020

    Building trust in science and evidence-based decision-making depends heavily on the credibility of studies and their findings. Researchers employ many different study designs that vary in their risk of bias to evaluate the true effect of interventions or impacts. Here, we empirically quantify, on a large scale, the prevalence of different study designs and the magnitude of bias in their estimates. Randomised designs and controlled observational designs with pre intervention sampling were used by just 23% of intervention studies in biodiversity conservation, and 36% of intervention studies in social science. We demonstrate, through pairwise within-study comparisons across 49 environmental datasets, that these types of designs usually give less biased estimates than simpler observational designs. We propose a model-based approach to combine study estimates that may suffer from different levels of study design bias, discuss the implications for evidence synthesis, and how to facilitate the use of more credible study designs.

  • Stream Channel Reference Sites: An illustrated guide to field technique (Harrelson et al. 1994) - USDA Forest Service
     
    This document is a guide to establishing permanent reference sites for gathering data about the physical characteristics of streams and rivers. The minimum procedure consists of the following: (1) select a site, (2) map the site and location, (3) measure the channel cross-section, (4) survey a longitudinal profile of the channel, (5) measure streamflow, (6) measure bed material, and (7) permanently file the information with the Vigil network. The document includes basic surveying techniques, provides guidelines for identifying bankfull indicators and measuring other important stream characteristics. The object is to establish the baseline of existing physical conditions for the stream channel. With this foundation, changes in the character of streams can be quantified for monitoring purposes or to support other management decisions.
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    Water Quality and Riparian Ecosystem Monitoring in the Impaired Waters of the Verde River Utilizing Drone Technology
     
    Jessica Stansfield 1*, Adrienne Crawford1*, and Doug Van Gausig2
     
    1Grand Canyon University, Phoenix, AZ, United States of America; Adrienne.Crawford@gcu.edu and JessicaAStansfield@gmail.com
    2The Verde River Institute, Clarkdale, AZ, United States of America; Doug@verderiverinstitute.org  
     
     
    Drone technology can help assess water quality and riparian habitat health both in real-time and with long-term data collection. The Verde Valley saw an 82% increase in population from 1999-2015 and hosts over 4 million tourists annually. This population increase is putting pressure on watershed levels in two ways: 1) water consumption and 2) habitat health due to the popularity of recreational activities on the river. The method used demonstrates the capability for drones to collect water samples via an apparatus attachment along a 20-mile stretch of impaired water of the Verde River. The drone allows for field technicians to sample 10-12 sites in a three-hour window with minimal human disturbance and sample contamination via sediment upheaval. Using this technology has allowed for an increase in samples collected annually in this region with over 650 data points compared to 15 data points before drone use. Temperature, pH, dissolved oxygen, total dissolved solids, and turbidity were measured for the selected sites and were analyzed for E. coli to assess human health risks.  Riparian zones with increased urbanization and runoff had exceedance levels of E. coli greater than 235 MPN/100mL (most probable number), which are exceeding the national standards for full body contact in recreational waters.  In addition, automated flight routes can also track topographical and vegetative changes of the ecosystem immediately following monsoon events, dam removals, and irrigation ditch installations. This combination of photogrammetry capabilities and greater accessibility for sampling makes drone technology an effective method for collecting baseline data and provides open-source data for researchers and stakeholders such as Arizona Game and Fish and the Arizona Department of Environmental Quality to preserve the Middle Verde River.  
     
     
     
     
     
  • 2018 Dolores River Restoration Partnership Annual Report 

  • A great deal of effort has been devoted to developing guidance for stream restoration and rehabilitation. The available resources are diverse, reflecting the wide ranging approaches used and expertise required to develop stream restoration projects. To help practitioners sort through all of this information, a technical note has been developed to provide a guide to the wealth of information available. The document structure is primarily a series of short literature reviews followed by a hyperlinked reference list for the reader to find more information on each topic. The primary topics incorporated into this guidance include general methods, an overview of stream processes and restoration, case studies, and methods for data compilation, preliminary assessments, and field data collection. Analysis methods and tools, and planning and design guidance for specific restoration features, are also provided. This technical note is a bibliographic repository of information available to assist professionals with the process of planning, analyzing, and designing stream restoration and rehabilitation projects. 
  • Stream Hydrology: An introduction for Ecologists (Gordon et al. 2004) - John Wiley & Sons.
     
     
    Since the publication of the first edition (1994) there have been rapid developments in the application of hydrology, geomorphology and ecology to stream management. In particular, growth has occurred in the areas of stream rehabilitation and the evaluation of environmental flow needs. The concept of stream health has been adopted as a way of assessing stream resources and setting management goals.

    Stream Hydrology: An Introduction for Ecologists Second Edition documents recent research and practice in these areas. Chapters provide information on sampling, field techniques, stream analysis, the hydrodynamics of moving water, channel form, sediment transport and commonly used statistical methods such as flow duration and flood frequency analysis. Methods are presented from engineering hydrology, fluvial geomorphology and hydraulics with examples of their biological implications. This book demonstrates how these fields are linked and utilised in modern, scientific river management.

    * Emphasis on applications, from collecting and analysing field measurements to using data and tools in stream management.
    * Updated to include new sections on environmental flows, rehabilitation, measuring stream health and stream classification.
    * Critical reviews of the successes and failures of implementation.
    * Revised and updated windows-based AQUAPAK software.

    This book is essential reading for 2nd/3rd year undergraduates and postgraduates of hydrology, stream ecology and fisheries science in Departments of Physical Geography, Biology, Environmental Science, Landscape Ecology, Environmental Engineering and Limnology. It would be valuable reading for professionals working in stream ecology, fisheries science and habitat management, environmental consultants and engineers.

     
     
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    Supervised Classification of Russian Olive in the Animas Valley with NAIP Imagery and Object-Based Image Analysis
     
    Anna Riling1
     
    1University of Denver, Department of Geography and the Environment, Denver, Colorado, annariling@gmail.com
     
     
    Object-based image analysis (OBIA) incorporates not only spectral but textural and spatial elements of a class and avoids the “salt and pepper” effect of pixel-based classification with high-resolution imagery.  Russian olive (Elaeagnus angustifolia) is an invasive species prevalent in the Animas Valley in southwest Colorado and is easily distinguished in aerial imagery due to its silvery-green canopy. This study used free, 1-meter, 4-band National Agricultural Image Program (NAIP) imagery to classify Russian olive in a study area on the Animas River, achieving a user’s accuracy of 91.3 percent with a K Nearest Neighbor classifier. Methodology and parameters from this pilot study are intended to be used in future efforts with feature extraction classifications for mapping Russian olive on a regional scale.
     
     
     
  • Rapid Monitoring Protocol used in the DRRP

  • Authors: Anna A. Shera, Hisham El Waera, Eduardo Gonzáleza,b, Robert Andersona, Annie L. Henrya, Robert Biedrona, PengPeng Yuea

    This report includes a comprehensive and detailed analysis of the vegetation response to a single watershed-scale restoration effort that includes 40 sites along the Dolores River from 2010-2014.

Protocols

  • This manual describes how to monitor three rangeland attributes: soil and site stability, watershed function, and biotic integrity. The Quick Start guide includes only the basics; details are provided in Volume II. 

  • This document contains example Rapid Monitoring Datasheets to accompany the Rapid Monitoring Protocol document. 

  • These protocols, developed by Tamarisk Coalition, are designed to provide an outline of suggested monitoring efforts that could be conducted on a restoration site in order to efficiently track restoration progress and inform the planning and implementation of management activities. The blank Rapid Monitoring Datasheets are designed to accompany this protocol (see separate document). 

  • Volume II of the Monitoring Manual provides more detailed guidance on monitoring program design, data analysis and interpretation.It also includes a number of supplementary methods. Refer to Volume I for basic guidance. 
     
  • This brochure, produced by Boulder Community Alliance (BCA), provides instructions on how to properly monitor your property for Russian olive resprouts. This form should be used in conjuction with another BCA produced document entitled: Controlling Russian Olive Seedlings on Your Property

  • This document contains blank Rapid Monitoring Datasheets to accompany Rapid Monitoring Protocol document. 

  • This form accompanies Monitoring, Maintenance, and Adaptive Management Planning and Resources for Riparian Restoration Projects, developed by AloTerra Restoration Services. 

  • This form accompanies Monitoring, Maintenance, and Adaptive Management Planning and Resources for Riparian Restoration Projects, developed by AloTerra Restoration Services.

  • This form accompanies Monitoring, Maintenance, and Adaptive Management Planning and Resources for Riparian Restoration Projects, developed by AloTerra Restoration Services.

  • The purpose of this resource, created by AloTerra Restoration Services, is to provide general recommendations for monitoring and maintenance of restored conditions in restored riparian areas of Colorado, such that information gathered from monitoring efforts can influence ongoing land management necessary to accomplish project goals. It is important to note that monitoring plans and maintenance strategies must be tailored to the specific site in question. The unique abiotic and biotic conditions of the site, restoration and other management goals, available resources, and other factors will have a large influence on the final monitoring and adaptive management protocols being employed for a given restoration project.

  • Rapid Monitoring Protocol used in the DRRP

  • This streambank and bed stability assessment protocol has been developed to rapidly assess factors contributing to channel stability and identify which areas along a stream reach have the greatest amount of active erosion or are at the greatest risk of future erosion. It also considers the stability and effectiveness of channel restoration structures as a post-restoration monitoring class. Each sub-reach (100-200 feet) is evaluated for bed and bank material properties, bank slope and vegetation coverage, as well as evidence of active bed and bank erosion. An aggregated score is calculated for each sub-reach allowing one to identify which sub-reaches pose the greatest concern to channel stability along the reach as well as identify what factors contribute to this. Finally, this protocol can be used for repeated assessments to monitor change over time and compare pre- and post-restoration results in a manner that allows for targeted maintenance treatments necessary to address project goals.  Please see the accompanying field sheet. 

  • This form accompanies Monitoring, Maintenance, and Adaptive Management Planning and Resources for Riparian Restoration Projects, developed by AloTerra Restoration Services.

  • This form accompanies Monitoring, Maintenance, and Adaptive Management Planning and Resources for Riparian Restoration Projects, developed by AloTerra Restoration Services. 

  • To better plan for and implement long-term ecological monitoring, the authors of this report measured riparian vegetation and fluvial geomorphic features at pilot study sites on four wadeable perennial stream reaches, representative of drainages across the Colorado Plateau. The primary objectives were to (1) collect field data, (2) evaluate the efficiency and effectiveness of various ecological measures and measurement techniques for riparian ecosystems, and (3) use field-based sampling to inform and refine the development of standard operating procedures for use in implementing integrated, long-term monitoring of riparian ecosystems. Ultimately, this work was aimed at providing National Park Service (NPS) staff with some of the information and methods needed to design and implement long-term monitoring of NPS riparian resources, which is both relevant to management, and fully operational within institutional resource constraints. 
  • Christie et al. 2020

    Building trust in science and evidence-based decision-making depends heavily on the credibility of studies and their findings. Researchers employ many different study designs that vary in their risk of bias to evaluate the true effect of interventions or impacts. Here, we empirically quantify, on a large scale, the prevalence of different study designs and the magnitude of bias in their estimates. Randomised designs and controlled observational designs with pre intervention sampling were used by just 23% of intervention studies in biodiversity conservation, and 36% of intervention studies in social science. We demonstrate, through pairwise within-study comparisons across 49 environmental datasets, that these types of designs usually give less biased estimates than simpler observational designs. We propose a model-based approach to combine study estimates that may suffer from different levels of study design bias, discuss the implications for evidence synthesis, and how to facilitate the use of more credible study designs.

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