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Updated: Nov 25, 2025
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Improving inferences about private land conservation by accounting for incomplete reporting
Matthew A Williamson1, Brett G Dickson2,3, Mevin B Hooten4
1Human Environment Systems, College of Innovation and Design, Boise State University, 1910 University Drive, Boise, ID, 83725, U.S.A.
Summary
Occupancy models improve conservation planning by accounting for incomplete private land data. This approach better identifies factors influencing conservation easements, avoiding biased results from standard logistic regression.
Area of Science:
- Conservation biology
- Spatial ecology
- Social-ecological systems
Background:
- Private lands are crucial for biodiversity conservation and protected area networks.
- Integrating private land conservation into planning is challenging due to data limitations.
- Understanding landowner participation is key to effective conservation strategies.
Purpose of the Study:
- To apply occupancy models for analyzing conservation easement occurrence on private lands.
- To compare occupancy models with logistic regression for predicting easement locations.
- To assess the impact of incomplete reporting on conservation planning.
Main Methods:
- Utilized a novel application of occupancy models to analyze conservation easement data.
- Employed a spatially explicit social-ecological systems framework.
- Conducted a simulation experiment and a case study in Idaho and Montana.
Main Results:
- Occupancy models produced less biased estimates of predictor effects compared to logistic regression.
- Models accounting for reporting variation yielded substantially improved results.
- Inferences on conservation drivers differed qualitatively between occupancy and logistic regression models.
Conclusions:
- Occupancy models are superior for analyzing conservation easements with incomplete data.
- Accurate identification of conservation drivers requires accounting for reporting biases.
- Failure to address reporting issues can lead to misinformed conservation planning.
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