Modeling rare plant habitat together with public land managers using an iterative, coproduced process to inform decision-making on multiple-use public lands
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Abstract
Public lands across the United States are managed for multiple uses, resources, and values ranging from energy development to rare plant conservation. Intensified energy development and other land use changes across the Southwestern United States have increased the need for proactive management to mitigate impacts to rare plants. Habitat suitability models can inform decision-making and lead to more effective conservation of rare plants and their habitats, but high-quality models that are suited for use at local scales are lacking for many species. Our team of scientists and managers developed ensembles of habitat suitability models for five rare plant species in New Mexico using a coproduced, iterative framework complemented by comprehensive ground truthing and tailoring of products for use in public land decisions. Our process resulted in substantial differences from initial models through changes to environmental predictors, species occurrence and background data, and development of new species-specific predictors. Involving species experts and end users in model development can strengthen the process and resulting model and build understanding and trust in final products. Both factors can promote use of models to inform public land permitting and planning decisions that may affect rare plants, including by guiding development away from highly suitable habitats.
Study Area
| Publication type | Article |
|---|---|
| Publication Subtype | Journal Article |
| Title | Modeling rare plant habitat together with public land managers using an iterative, coproduced process to inform decision-making on multiple-use public lands |
| Series title | Conservation Science and Practice |
| DOI | 10.1111/csp2.13179 |
| Volume | 6 |
| Issue | 8 |
| Year Published | 2024 |
| Language | English |
| Publisher | Society for Conservation Biology |
| Contributing office(s) | Fort Collins Science Center |
| Description | e13179, 15 p. |
| Country | United States |
| State | Colorado, New Mexico |
| Google Analytic Metrics | Metrics page |