Long-term monitoring strategies for ecological reclamation programmes using spatially balanced rotating panel designs
Data files
Oct 08, 2025 version files 19.11 KB
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Curran_etal_code.txt
7.35 KB
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Pinedale_(1).csv
10.19 KB
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README.md
1.56 KB
Abstract
Environmental monitoring continues to be necessary along with a growing human population and increased anthropocentric land use changes. In instances where oil and gas development and subsequent ecological reclamation practices occur, constraints associated with manpower and short growing seasons may make it impossible to conduct full census surveys on every location. We propose using a spatially balanced rotating panel sampling design which utilizes neighbourhoods created by spatial and auxiliary information. As it is common for reclamation efforts across space to be influenced by environmental factors, we assume nearby locations which are treated with the same inputs will be more similar to each other than far away areas. We use a one-point-per-cluster sampling design to ensure good spatial coverage of the large area. This approach is helpful because it guarantees local coverage during each sampling phase, achieves equal inclusion probabilities, and has excellent spatial spread. We give examples from the Pinedale Anticline natural gas field in Sublette County, Wyoming, USA. Our examples include a natural gas well pad reclamation programme consisting of 303 locations as well as a ~21 km pipeline right-of-way system undergoing reclamation.
Dataset DOI: 10.5061/dryad.k98sf7mmc
Description of the data and file structure
This dataset contains spatial information for well pads located within the Pinedale Anticline natural gas field in Sublette County, Wyoming, USA. These locations are those which were used to create neighbourhoods and panels within the manuscript titled "Long-term monitoring strategies for ecological reclamation programmes using spatially balanced rotating panel designs" in Ecological Solutions and Evidence.
Code/software
The data was processed in Program R (any version after R-4.5.1 )using the package 'spbal' : Robertson, B.L., Davies, P., Gansell, O., van Dam‐Bates, P. and McDonald, T., 2025. spbal: An R package for spatially balanced master sampling. Australian & New Zealand Journal of Statistics. This is available for download on CRAN at: https://cran.r-project.org/web/packages/spbal/index.html
The .csv dataset is read into Program R and steps described in the manuscript are then followed. We utilize %% to show logic in our code Curran_etal_code.txt which utilizes raw data from the Pinedale_(1).csv file.
Descriptions
Pinedale_(1).csv
Each row represents a well pad with information related to Latitude, Longitude, Disturbance Acres and Reclamation Acres.
