Going with the grain: scalar conservation easement dataset comparison

Abstract Context Private land conservation maintains global biodiversity while securing areas for biome shifts. Conservation easements (CEs) are the dominant form in both the US and increasingly, globally. Objectives We illustrate the differences in the National Conservation Easement Database (NCED) and a fine-scale curated collection of CEs, the Granular Conservation Easement Datasets (GCED), which fills an imperative gap in the CE literature. We assessed each dataset’s utility for different research objectives. Methods The GCED represents a comprehensive baseline of the CEs placed between 1997 and 2008/2009 in twelve counties in six US states. We empirically compared GCED and NCED spatial geometries and related attributional data with qualitative and quantitative analyses. Results NCED completeness varies geographically and categorically over time, lacking historical information about CE amendments. GCED comparison with the NCED subset with a year of CE establishment revealed a consistently higher CE count in the majority of GCED counties. CE spatial configurations also diverged between the GCED and the NCED. Spatial statistical analysis outcomes differed; for each dataset, CEs are generally clustering (Ripley’s K) but Global Moran’s I and Average Nearest Neighbor results diverged to varying degrees. Conclusions The NCED creates a double-edged sword for researchers as the only nationally and publicly accessible compilation of CE data with evident omission bias. Landscape management and planning studies rely on the NCED but its incompleteness hinders its utility as a tool for CE tracking, oversight, planning, and research. Broad-scale geographic coverage and fine-scale accuracy are a tradeoff; future scholarship should understand the shortcomings of a particular dataset at a particular scale.

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Publication Details

Journal
Landscape Ecology
Published
2025-04-02
DOI
https://doi.org/10.1007/s10980-025-02085-1
Citations
1
Primary Topic
Remote Sensing and LiDAR Applications
Type
article
Field-Weighted Citation Impact
0.80

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article

Going with the grain: scalar conservation easement dataset comparison

S. Scott Ogletree, Robert F. Baldwin, Anna Treado Overby, Caitlin S. Dyckman et al.
1 citations
Landscape Ecology
Remote Sensing and LiDAR Applications
0.80
article

Going with the grain: scalar conservation easement dataset comparison

S. Scott Ogletree, Robert F. Baldwin, Anna Treado Overby, Caitlin S. Dyckman, Nakisha Fouch, David L. White, Mickey Lauria, Stella Watson Self
article en
1 citations

Abstract

Abstract Context Private land conservation maintains global biodiversity while securing areas for biome shifts. Conservation easements (CEs) are the dominant form in both the US and increasingly, globally. Objectives We illustrate the differences in the National Conservation Easement Database (NCED) and a fine-scale curated collection of CEs, the Granular Conservation Easement Datasets (GCED), which fills an imperative gap in the CE literature. We assessed each dataset’s utility for different research objectives. Methods The GCED represents a comprehensive baseline of the CEs placed between 1997 and 2008/2009 in twelve counties in six US states. We empirically compared GCED and NCED spatial geometries and related attributional data with qualitative and quantitative analyses. Results NCED completeness varies geographically and categorically over time, lacking historical information about CE amendments. GCED comparison with the NCED subset with a year of CE establishment revealed a consistently higher CE count in the majority of GCED counties. CE spatial configurations also diverged between the GCED and the NCED. Spatial statistical analysis outcomes differed; for each dataset, CEs are generally clustering (Ripley’s K) but Global Moran’s I and Average Nearest Neighbor results diverged to varying degrees. Conclusions The NCED creates a double-edged sword for researchers as the only nationally and publicly accessible compilation of CE data with evident omission bias. Landscape management and planning studies rely on the NCED but its incompleteness hinders its utility as a tool for CE tracking, oversight, planning, and research. Broad-scale geographic coverage and fine-scale accuracy are a tradeoff; future scholarship should understand the shortcomings of a particular dataset at a particular scale.

Landscape EcologyVol. 40(4)
US Forest Service (US), University of South Carolina (US), Southern Research Station (US), Department of Health Services (US), Clemson University (US), University of Edinburgh (GB)
National Science Foundation, Clemson University
Openalex Percentile: Top 31%
Remote Sensing and LiDAR Applications
0.80
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