{"help":"Return the metadata of a dataset (package) and its resources. :param id: the id or name of the dataset :type id: string","success":true,"result":[{"id":"8c556ad5-a8d4-4ad3-9ecc-0cc392b14019","name":"sagebrush-hurdle-model","title":"Sagebrush Hurdle Model","author":"Douglas J. Shinneman","author_email":"Douglas Shinneman","maintainer":"RCDS Data Repository","maintainer_email":"rcds-web@uidaho.edu","license_title":"https:\/\/creativecommons.org\/publicdomain\/zero\/1.0\/","notes":"\u003Cp\u003E\u003Cstrong\u003EDescription\/Abstract\u003C\/strong\u003E\u003Cbr \/\u003E\nCode release in support of: Requena-Mullor, J.M., Maguire, K.C., Shinneman, D.J., Caughlin, T., 2019, Integrating anthropogenic factors into regional-scale species distribution models \u2014 a novel application in the imperiled sagebrush biome: Global Change Biology, p. online, \u003Ca href=\u0022https:\/\/doi.org\/10.1111\/gcb.14728\u0022\u003Ehttps:\/\/doi.org\/10.1111\/gcb.14728\u003C\/a\u003E.\u003C\/p\u003E\n\u003Cp\u003E\u003Cstrong\u003ECode Use\u003C\/strong\u003E\u003Cbr \/\u003E\n\u003Cem\u003ELicense\u003C\/em\u003E\u003Cbr \/\u003E\n\u003Ca href=\u0022https:\/\/creativecommons.org\/publicdomain\/zero\/1.0\/\u0022\u003ECC0-1.0\u003C\/a\u003E\u003Cbr \/\u003E\n\u003Cem\u003ERecommended Citation\u003C\/em\u003E\u003Cbr \/\u003E\nShinneman DJ. 2019. sagebrush_hurdle_model. US Geological Survey Software Release. \u003Ca href=\u0022https:\/\/doi.org\/10.5066\/P9NQNH41\u0022\u003Ehttps:\/\/doi.org\/10.5066\/P9NQNH41\u003C\/a\u003E\u003C\/p\u003E\n\u003Cp\u003E\u003Cstrong\u003EAbstract\u003C\/strong\u003E\u003Cbr \/\u003E\nSpecies distribution models (SDMs) that rely on regional\u2010scale environmental variables will play a key role in forecasting species occurrence in the face of climate change. However, in the Anthropocene, a number of local\u2010scale anthropogenic variables, including wildfire history, land\u2010use change, invasive species, and ecological restoration practices can override regional\u2010scale variables to drive patterns of species distribution. Incorporating these human\u2010induced factors into SDMs remains a major research challenge, in part because spatial variability in these factors occurs at fine scales, rendering prediction over regional extents problematic. Here, we used big sagebrush (Artemisia tridentata Nutt.) as a model species to explore whether including human\u2010induced factors improves the fit of the SDM. We applied a Bayesian hurdle spatial approach using 21,753 data points of field\u2010sampled vegetation obtained from the LANDFIRE program to model sagebrush occurrence and cover by incorporating fire history metrics and restoration treatments from 1980 to 2015 throughout the Great Basin of North America. Models including fire attributes and restoration treatments performed better than those including only climate and topographic variables. Number of fires and fire occurrence had the strongest relative effects on big sagebrush occurrence and cover, respectively. The models predicted that the probability of big sagebrush occurrence decreases by 1.2% (95% CI: \u22126.9%, 0.6%) when one fire occurs and cover decreases by 44.7% (95% CI: \u221247.9%, \u221241.3%) if at least one fire occurred over the 36 year period of record. Restoration practices increased the probability of big sagebrush occurrence but had minimal effect on cover. Our results demonstrate the potential value of including disturbance and land management along with climate in models to predict species distributions. As an increasing number of datasets representing land\u2010use history become available, we anticipate that our modeling framework will have broad relevance across a range of biomes and species.\u003C\/p\u003E\n","url":"https:\/\/data.nkn.uidaho.edu\/dataset\/sagebrush-hurdle-model","state":"Active","log_message":"Edited by awchild.","private":true,"revision_timestamp":"Wed, 08\/16\/2023 - 13:13","metadata_created":"Thu, 03\/03\/2022 - 11:07","metadata_modified":"Wed, 08\/16\/2023 - 13:13","creator_user_id":"6cc16f2c-77c2-4d12-ac06-56bbb86b535b","type":"Dataset","resources":[{"id":"72d0689d-808e-4f9f-b240-7f4bd5e3ed26","revision_id":"","url":"https:\/\/doi.org\/10.5066\/P9NQNH41","description":"","format":"html","state":"Active","revision_timestamp":"Wed, 08\/16\/2023 - 12:51","name":"Code Access via USGS | Sagebrush Hurdle Model","mimetype":"html","size":"","created":"Thu, 03\/03\/2022 - 11:08","resource_group_id":"e696b239-9ecb-412e-b032-03a75b2b9fd6","last_modified":"Date changed Wed, 08\/16\/2023 - 12:51"}],"tags":[{"id":"0fd5f6e9-babb-45d4-a5fe-d355a4994b37","vocabulary_id":"2","name":"sagebrush (Artemisia spp.)"},{"id":"bfd62175-0785-4c6b-ad66-b98ab6501123","vocabulary_id":"2","name":"Artemisia tridentata (sagebrush)"},{"id":"425f965a-f839-486d-be20-95827298c8c0","vocabulary_id":"2","name":"ecology"},{"id":"4ff8f12f-597f-460d-98ea-6650f2124e30","vocabulary_id":"2","name":"environmental change"},{"id":"d11e7c60-267d-4663-b346-66b0c63cc602","vocabulary_id":"2","name":"invasive species"},{"id":"fbacc4e3-bdb9-4d4e-ab40-2b30ff4cf0a3","vocabulary_id":"2","name":"land use and land cover change (LULC)"},{"id":"0003d0bb-316f-47fd-8247-4e7a862df751","vocabulary_id":"2","name":"Species distribution modelling"},{"id":"0b3fae08-7bf8-4e8a-a8e2-33f4d1c2364d","vocabulary_id":"2","name":"wildfire"}],"groups":[{"description":"\u003Cp\u003EThe primary objective of Idaho EPSCoR is to stimulate research in niche areas that can become fully competitive in the disciplinary and multidisciplinary research programs of the National Science Foundation and other relevant agencies. Idaho EPSCoR provides support for sustainable increases in Research and Development capacity and advances science and engineering capabilities within the state. \u003C\/p\u003E\n\u003Cp\u003EVisit them at \u003Ca href=\u0022https:\/\/www.idahoepscor.org\u0022\u003Ehttps:\/\/www.idahoepscor.org\u003C\/a\u003E\u003C\/p\u003E\n","id":"e696b239-9ecb-412e-b032-03a75b2b9fd6","image_display_url":"https:\/\/data.nkn.uidaho.edu\/sites\/default\/files\/Idaho_epscor_logo_no_white_background.png","title":"Idaho EPSCoR","name":"group\/idaho-epscor"},{"description":"\u003Cp\u003EGEM3 is an NSF EPSCoR research program seeking to understand how genetic diversity and phenotypic plasticity affect species response to environmental change, shaping both population response and adaptive capacity.\u003C\/p\u003E\n\u003Cp\u003EVisit them at: \u003Ca href=\u0022https:\/\/www.idahogem3.org\u0022\u003Ehttps:\/\/www.idahogem3.org\u003C\/a\u003E\u003C\/p\u003E\n","id":"1812a312-11a4-492d-960b-9a78b4abfe0c","image_display_url":"https:\/\/data.nkn.uidaho.edu\/sites\/default\/files\/GEM3_nov5_logo.png","title":"EPSCoR GEM3","name":"group\/epscor-gem3"}]}]} Error | RCDS Data Repository

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