Clear Fork Watershed Case Study: The Value of State Monitoring Programs

2014 ◽  
pp. 370-401
Keyword(s):  
State Monitoring ◽  
Monitoring Programs

scholarly journals Optimizing Monitoring Programs: A Case Study Based on the OSPAR Eutrophication Assessment for UK Waters

2019 ◽  
Vol 5 ◽  
Author(s):  
Luz María García-García ◽  
Dave Sivyer ◽  
Michelle Devlin ◽  
Suzanne Painting ◽  
Kate Collingridge ◽  
...  
Keyword(s):  
Eutrophication Assessment ◽  
Monitoring Programs

An operational and scientific monitoring program (OSMP) for the Prelude and Ichthys fields: a case study from the Browse Basin

2014 ◽  
Vol 54 (2) ◽  
pp. 480
Author(s):  
David Souter ◽  
Steve Rogers ◽  
Jamie Oliver
Keyword(s):  
Oil Spill ◽  
Monitoring Program ◽  
Baseline Data ◽  
Australian Institute ◽  
Monitoring Programs ◽  
Oil Spill Response ◽  
Fit For Purpose ◽  
Gas Fields ◽  
Structured Approach

An OSMP is the principle tool for determining the extent, severity, and persistence of environmental impacts from an oil spill. The OSMP developed for the Shell Prelude and Inpex Ichthys gas fields has 13 operational monitoring programs (OMPs) and 12 scientific monitoring programs (SMPs) reflecting the complexity of the environment in which the developments are located. A partnership of organisations led by the Australian Institute of Marine Science (AIMS) will provide specialist expertise to help implement the OSMP. This unique multi-disciplinary partnership, comprising AIMS, CSIRO, University of Western Australia, Curtin University, WA ChemCentre, and Monash University, guarantees capability and capacity, reducing the level of risk incurred by individual organisations within the partnership. Fundamental to the success of any OSMP is the existence of adequate, fit-for-purpose baseline data against which post spill observations can be compared to determine the extent and severity of the spill and assess effectiveness of oil spill response. In addition, we believe adequate baselines with sufficient temporal resolution are essential for OSMP credibility and maintenance of the scientific reputations of partners. In committing capability to the OSMP implementation, AIMS and its partners have adopted a risk-based approach to assessing the adequacy of existing baseline data, to identify knowledge gaps, and assess the significance of those gaps and the feasibility of filling them. This extended abstract describes the structured approach taken to analyse the various risks and to develop a balanced suite of environmental baseline studies to address these risks.

A Framework for Designing Ecological Monitoring Programs for Protected Areas: A Case Study of the Galachos del Ebro Nature Reserve (Spain)

2005 ◽  
Vol 35 (1) ◽  
pp. 20-33 ◽  
Author(s):  
José A. Atauri Mezquida ◽  
José V. Lucio De Fernández ◽  
Miguel. A Muñoz Yangüas
Keyword(s):  
Protected Areas ◽  
Nature Reserve ◽  
Ecological Monitoring ◽  
Monitoring Programs

scholarly journals Sampling requirements and approaches to detect ecosystem shifts

2020 ◽  
Author(s):  
Rosalie Bruel ◽  
Easton R. White
Keyword(s):  
Statistical Power ◽  
Ice Cores ◽  
Ecosystem Change ◽  
Sample Collection ◽  
Labor Costs ◽  
Sample Processing ◽  
Community Assemblage ◽  
Monitoring Programs ◽  
High Statistical Power

AbstractEnvironmental monitoring is a key component of understanding and managing ecosystems. Given that most monitoring efforts are still expensive and time-consuming, it is essential that monitoring programs are designed to be efficient and effective. In many situations, the expensive part of monitoring is not sample collection, but instead sample processing, which leads to only a subset of the samples being processed. For example, sediment or ice cores can be quickly obtained in the field, but they require weeks or months of processing in a laboratory setting. Standard sub-sampling approaches often involve equally-spaced sampling. We use simulations to show how many samples, and which types of sampling approaches, are the most effective in detecting ecosystem change. We test these ideas with a case study of Cladocera community assemblage reconstructed from a sediment core. We demonstrate that standard approaches to sample processing are less efficient than an iterative approach. For our case study, using an optimal sampling approach would have resulted in savings of 195 person-hours—thousands of dollars in labor costs. We also show that, compared with these standard approaches, fewer samples are typically needed to achieve high statistical power. We explain how our approach can be applied to monitoring programs that rely on video records, eDNA, remote sensing, and other common tools that allow re-sampling.

MANGROVE RESTORATION: CARTAGENA, COLOMBIA, COASTAL OIL SPILL CASE STUDY

1995 ◽  
Vol 1995 (1) ◽  
pp. 990-991
Author(s):  
Mauricio Ibáñez
Keyword(s):  
Oil Spill ◽  
Water Exchange ◽  
Polluted Soil ◽  
Associated Fauna ◽  
Mangrove Restoration ◽  
Mangrove Area ◽  
Mangrove Plants ◽  
Monitoring Programs

ABSTRACT On June 26, 1990, an accidental oil spill occured at a refinery located in Cartagena, Colombia, affecting a 2.5 ha coastal mangrove area and killing all its associated fauna. A special manual cleanup program made it possible to restore part of the polluted soil without harming most of the mangrove plants nor affecting water exchange conditions in the site. Further comparative monitoring programs showed that the ecosystem was totally restored and has grown to a 10 ha forest which is now being used for coastal remediation research.

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