{"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":"7fc328a7-3f27-4f29-98be-27f13b4640e0","name":"statistical-consideration-nonrandom-treatment-applications-reveal-region-wide-benefits","title":"Statistical consideration of nonrandom treatment applications reveal region-wide benefits of widespread post-fire restoration action","author":"Allison B. Simler-Williamson and Matthew Germino","author_email":"allisonsimlerwil@boisestate.edu","maintainer":"RCDS Data Repository","maintainer_email":"rcds-web@uidaho.edu","license_title":"https:\/\/creativecommons.org\/publicdomain\/zero\/1.0\/","notes":"\u003Cp\u003EAccurate predictions of ecological restoration outcomes are needed across the increasingly large landscapes requiring treatment following disturbances. However, observational studies often fail to account for nonrandom treatment application, which can result in invalid inference. Examining a spatiotemporally extensive management treatment involving post-fire seeding of declining sagebrush shrubs across semiarid areas of the western USA over two decades, we quantify drivers and consequences of selection biases in restoration using remotely sensed data. From following more than 1,500 wildfires, we find treatments were disproportionately applied in more stressful, degraded ecological conditions. Failure to incorporate unmeasured drivers of treatment allocation led to the conclusion that costly, widespread seedings were unsuccessful; however, after considering sources of bias, restoration positively affected sagebrush recovery. Treatment effects varied with climate, indicating prioritization criteria for interventions. Our findings revise the perspective that post-fire sagebrush seedings have been broadly unsuccessful and demonstrate how selection biases can pose substantive inferential hazards in observational studies of restoration efficacy and the development of restoration theory.\u003C\/p\u003E\n\u003Cp\u003E\u003Cstrong\u003EData Use\u003C\/strong\u003E\u003Cbr \/\u003E\n\u003Cem\u003ELicense\u003C\/em\u003E\u003Cbr \/\u003E\nCreative Commons Zero v1.0 Universal (\u003Ca href=\u0022https:\/\/creativecommons.org\/publicdomain\/zero\/1.0\/legalcode\u0022\u003ECC0 v1.0\u003C\/a\u003E)\u003Cbr \/\u003E\n\u003Cem\u003ERecommended Citation\u003C\/em\u003E\u003Cbr \/\u003E\nSimler-Williamson A, Germino M. 2022. Statistical consideration of nonrandom treatment applications reveal region-wide benefits of widespread post-fire restoration action [Dataset]. Dryad. \u003Ca href=\u0022https:\/\/doi.org\/10.25338\/B8W63R\u0022\u003Ehttps:\/\/doi.org\/10.25338\/B8W63R\u003C\/a\u003E\u003C\/p\u003E\n\u003Cp\u003E\u003Cstrong\u003EFunding\u003C\/strong\u003E\u003Cbr \/\u003E\nUS National Science Foundation and Idaho EPSCoR: OIA-1757324\u003Cbr \/\u003E\nUS National Science Foundation: DBI-2010868\u003Cbr \/\u003E\nSouthwest Climate Adaptation Center\u003Cbr \/\u003E\nNorthwest and North Central Climate Adaptation Centers\u003C\/p\u003E\n","url":"https:\/\/dkan.nkn.uidaho.edu\/dataset\/statistical-consideration-nonrandom-treatment-applications-reveal-region-wide-benefits","state":"Active","log_message":"Edited by awchild.","private":true,"revision_timestamp":"Thu, 08\/31\/2023 - 12:51","metadata_created":"Wed, 09\/14\/2022 - 12:39","metadata_modified":"Thu, 08\/31\/2023 - 12:51","creator_user_id":"6cc16f2c-77c2-4d12-ac06-56bbb86b535b","type":"Dataset","resources":[{"id":"e8ef9a44-b169-457d-b350-f9f965328b21","revision_id":"","url":"https:\/\/doi.org\/10.25338\/B8W63R","description":"","format":"html","state":"Active","revision_timestamp":"Thu, 08\/31\/2023 - 12:37","name":"Data Access via Dryad | Statistical consideration of nonrandom treatment applications reveal region-wide benefits of widespread post-fire restoration action","mimetype":"html","size":"","created":"Wed, 09\/14\/2022 - 12:39","resource_group_id":"bff301ea-b742-427b-954e-e6a326c2ea45","last_modified":"Date changed Thu, 08\/31\/2023 - 12:37"}],"tags":[{"id":"0fd5f6e9-babb-45d4-a5fe-d355a4994b37","vocabulary_id":"2","name":"sagebrush (Artemisia spp.)"},{"id":"425f965a-f839-486d-be20-95827298c8c0","vocabulary_id":"2","name":"ecology"},{"id":"385f043c-10c3-4661-ac92-92b7bab3ce17","vocabulary_id":"2","name":"remote sensing"},{"id":"fc3f6742-e72c-439b-9763-aa294836782b","vocabulary_id":"2","name":"restoration"},{"id":"0b3fae08-7bf8-4e8a-a8e2-33f4d1c2364d","vocabulary_id":"2","name":"wildfire"},{"id":"5928b784-e1eb-4392-ae3b-0c19795b1895","vocabulary_id":"2","name":"selection bias"},{"id":"49bb9823-53fb-4c60-9190-24808d6008d4","vocabulary_id":"2","name":"sagebrush steppe"},{"id":"067c0a81-55f6-4be3-85fb-6c7abb4a6d6c","vocabulary_id":"2","name":"restoration ecology"},{"id":"38494a21-8ebe-45cf-8880-05852e4d4853","vocabulary_id":"2","name":"post-fire regeneration"},{"id":"517eb63d-8397-4acf-9532-6595d73fa128","vocabulary_id":"2","name":"plant ecology"},{"id":"9ef5edd4-3f61-437d-a41b-087741b3c480","vocabulary_id":"2","name":"causal inference"}],"groups":[{"description":"\u003Cp\u003EBoise State University is a Carnegie-classified doctoral research university and our students have opportunities to work with talented and accomplished faculty on research, even as undergraduates. Our students go into the workforce better prepared, with expertise outside of their major by taking advantage of opportunities such as certificates in business anthropology, entrepreneurship, or cybersecurity. \u003C\/p\u003E\n\u003Cp\u003ELearn more at \u003Ca href=\u0022https:\/\/www.boisestate.edu\/\u0022\u003Ehttps:\/\/www.boisestate.edu\/\u003C\/a\u003E\u003C\/p\u003E\n","id":"bff301ea-b742-427b-954e-e6a326c2ea45","image_display_url":"https:\/\/dkan.nkn.uidaho.edu\/sites\/default\/files\/bsu_logo.jpg","title":"Boise State University","name":"group\/boise-state-university"},{"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:\/\/dkan.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:\/\/dkan.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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