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2025
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| Online Access: | https://doi.org/10.5281/zenodo.17179552 |
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| _version_ | 1866902317054296064 |
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| author | Hanberry, Brice |
| author_facet | Hanberry, Brice |
| contents | <p><span>Rather than incomplete species distribution models from georeferenced records (predict_records) and monolithic species distribution models from range samples (predict_ranges), blending the strengths of concentrated georeferenced records and comprehensive range samples achieved range coverage with internal porosity and nuanced predictions of presence. <span>Provisional rules for number of range samples were the maximum of 1) 15% of the number of georeferenced records, 2) percentage based on range area (for wide-ranging species), or 3) 400 range samples for species with no or few georeferenced records. </span>Following these rules for addition of range samples, three sampling approaches (thinned samples = prediction_400_15_per_thinned, unthinned samples = prediction_400_15_per_unthinned, samples equalized for sampling intensity = prediction_400_15_per) predicted similar areas of presence under current climate, predicted presence within species ranges under current climate, predicted presence under future climate, and predicted presence within species ranges under future climate.</span></p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_17179552 |
| institution | Zenodo |
| language | |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Reconciled undersampled georeferenced records with range map samples to achieve representative species distribution models Hanberry, Brice <p><span>Rather than incomplete species distribution models from georeferenced records (predict_records) and monolithic species distribution models from range samples (predict_ranges), blending the strengths of concentrated georeferenced records and comprehensive range samples achieved range coverage with internal porosity and nuanced predictions of presence. <span>Provisional rules for number of range samples were the maximum of 1) 15% of the number of georeferenced records, 2) percentage based on range area (for wide-ranging species), or 3) 400 range samples for species with no or few georeferenced records. </span>Following these rules for addition of range samples, three sampling approaches (thinned samples = prediction_400_15_per_thinned, unthinned samples = prediction_400_15_per_unthinned, samples equalized for sampling intensity = prediction_400_15_per) predicted similar areas of presence under current climate, predicted presence within species ranges under current climate, predicted presence under future climate, and predicted presence within species ranges under future climate.</span></p> |
| title | Reconciled undersampled georeferenced records with range map samples to achieve representative species distribution models |
| url | https://doi.org/10.5281/zenodo.17179552 |