{"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":"4fa992c8-ec59-4157-a8b0-8a48290d1263","name":"mapping-social-ecological-system-boundaries-idaho-landscapes","title":"Mapping Social-Ecological System Boundaries in Idaho Landscapes","author":"Susan B. Parsons, Dr. Kenneth Aho, Dr. Antonio J. Castro, Dr. Kathleen Lohse","author_email":"parssusa@isu.edu","maintainer":"RCDS Data Repository","maintainer_email":"rcds-web@uidaho.edu","license_title":"https:\/\/creativecommons.org\/licenses\/by-nc-sa\/4.0\/","notes":"\u003Cp\u003EIdaho, USA has a high percentage of federally owned land (over 60%), strong gradients in elevation and latitude, diverse landscape types and uses, the third fastest growing population in the United States, and is one of the most agriculturally productive states in the county. Knowledge of how different biophysical and socioeconomic functional classes in Idaho are distributed and overlapping is of particular interest in this region, and the intersection of these landscapes describe a foundational aspect of the socio-economic system (SES) in that area. Contemporary interest in SES has spawned efforts to map SES boundaries, but these studies are few in number, and do not converge on a consensus approach. \u003C\/p\u003E\n\u003Cp\u003EWe adapted aspects of previous studies to develop an improved methodology for mapping SES boundaries in Idaho. We performed a spatially explicit, nested Principal Component Analysis (PCA) on suites of biophysical and socio-economic data aggregated by 5 km grids, followed by a comparison of two common, but mathematically distinct clustering techniques, k-means and Agglomerative Hierarchical Clustering (AHC), to classify homogeneous functional classes across the state. To address the issue of non-independence inherent to spatial datasets, we included XY coordinates in the PCA, but removed them for score calculation, thereby holding spatial locations constant without explicitly including them in score-based clustering analyses. \u003C\/p\u003E\n\u003Cp\u003EBoth K-means and AHC generated outputs with a high percent agreement between analogous numbers of clusters, although cluster evaluators did not converge on a single most likely number of clusters for either dataset, biophysical or socioeconomic, and the median evaluator score was used to select a most likely number of clusters. Generally, AHC resulted in a greater number of likely clusters than did k-means, thus providing better resolution - particularly in urban areas. Composite SES maps were created by overlapping the shared 5km grid geometry of the classified biophysical and socioeconomic landscape maps, and distinct SES domains emerged. We detected notable differences in management interpretations between the k-means and AHC composite SES maps, given a small difference in the number of landscape classes selected by clustering analysis.\u003C\/p\u003E\n\u003Cp\u003EThis research is funded by the NSF Idaho EPSCoR Program and by the National Science Foundation under award number IIA-1301792. The research reported in this paper contributes to the Programme on Ecosystem Change and Society (\u003Ca href=\u0022http:\/\/www.pecs-science.org\u0022\u003Ewww.pecs-science.org\u003C\/a\u003E), and the EPSCoR Managing Idaho Landscape for Ecosystem Services iSEED Award, \u201cTowards ONEIdaho: An investigation of social-ecological system boundaries and domains across MILES sites.\u201d Special thanks to Drs. Danelle Larson and Donna Lybecker. We also acknowledge Idaho State University, where this research took place.\u003C\/p\u003E\n","url":"https:\/\/dkan.nkn.uidaho.edu\/dataset\/mapping-social-ecological-system-boundaries-idaho-landscapes","state":"Active","log_message":"Update to resource \u0027Mapping Social-Ecological System boundaries in Idaho landscapes (download)\u0027","private":true,"revision_timestamp":"Mon, 03\/18\/2019 - 14:51","metadata_created":"Mon, 10\/01\/2018 - 08:40","metadata_modified":"Mon, 03\/18\/2019 - 14:51","creator_user_id":"7ea0cc7a-144d-40bc-a738-f00f4ab9e847","type":"Dataset","resources":[{"id":"31da11ca-db2e-4dcd-9029-b1fc9f2d7ebd","revision_id":"","url":"","description":"\u003Cp\u003EAll GIS layers: \u2018\u003Cstrong\u003EOBJECTID\u003C\/strong\u003E\u2019 corresponds to 5km analysis grid ID\u003C\/p\u003E\n\u003Cp\u003ESES composite layers: \u2018\u003Cstrong\u003ECOMPOSITE\u003C\/strong\u003E\u2019 corresponds to the combined biophysical and socioeconomic landscape classification, representing an Social-Ecological System (SES) zone\u003C\/p\u003E\n\u003Cp\u003EBiophysical Landscape\u003Cbr \/\u003E\nVariable Description |Source | Resolution\u003Cbr \/\u003E\nElevation (m) digital elevation model (DEM) NED 10 m\u003Cbr \/\u003E\nSlope (\u25e60 - \u25e690) slope derived from DEM NED 10 m\u003Cbr \/\u003E\nDew Temperature (\u25e6C) 30 yr average annual mean PRISM 1981-2010 1 km\u003Cbr \/\u003E\nTemperature (\u25e6C) 30 yr average annual mean PRISM 1981-2010 ~ 1 km\u003Cbr \/\u003E\nVapor Pressure Deficit (Hectopascals) 30 yr average annual median PRISM 1981-2010 ~ 1 km\u003Cbr \/\u003E\nPrecipitation (mm\/year) 30 yr average annual mean PRISM 1981-2010 ~ 1 km\u003Cbr \/\u003E\nPotential Evapotranspiration (mm\/yr) 10 yr average annual mean MODIS16 2000-2010 ~ 1 km\u003Cbr \/\u003E\nNDVI NDVI = (actual NDVI * 200) + 50 MODIS 2001-2006 250 m\u003Cbr \/\u003E\n*Land Cover land cover types NLCD 2011 30 m\u003Cbr \/\u003E\n**Lithology basic rock types USGS variable vector\u003Cbr \/\u003E\n***Soil Order soil order NRCS SSURGO \u0026amp; STATSGO variable vector\u003Cbr \/\u003E\n****Biodiversity species counts BiodiversityMapping.org 10 km\u003C\/p\u003E\n\u003Cul\u003E\n\u003Cli\u003EherbaceousWetlands, woodyWetland, DECIDUOUSforest, EVERGREENforest, MIXEDforest, SHRUB_SCRUB, GRASSLAND, OPEN_WATER, Ice_Snow.\u003Cbr \/\u003E\n** SEDIMENTARY, IGNEOUS, METAMORPHIC, UNCONSOLID.\u003Cbr \/\u003E\n*** ALFISOL, ANDISOL, ARIDISOL, ENTISOL, INCEPTISOL, MOLLISOL, VERTISOL.\u003Cbr \/\u003E\n**** AMPHIBIANS, FISH, BIRDS, MAMMALS, REPTILES, TREES.\u003C\/li\u003E\n\u003C\/ul\u003E\n","format":"zip","state":"Active","revision_timestamp":"Mon, 10\/01\/2018 - 12:20","name":"Mapping Social-Ecological System boundaries in Idaho landscapes (download)","mimetype":"zip","size":"","created":"Mon, 10\/01\/2018 - 09:17","resource_group_id":"1f04d677-d544-47bc-91fd-b85bdb11b6ec","last_modified":"Date changed Mon, 10\/01\/2018 - 12:20"},{"id":"51e1f230-01df-42e0-b211-eeb6b129a8fe","revision_id":"","url":"https:\/\/dkan.nkn.uidaho.edu\/sites\/default\/files\/GIS_layers_1.zip","description":"","format":"data","state":"Active","revision_timestamp":"Mon, 03\/18\/2019 - 13:58","name":"Mapping Social-Ecological System boundaries in Idaho landscapes (download)","mimetype":"application\/zip","size":"4.28 MB","created":"Mon, 10\/01\/2018 - 12:45","resource_group_id":"1f04d677-d544-47bc-91fd-b85bdb11b6ec","last_modified":"Date changed Mon, 03\/18\/2019 - 13:58"}],"tags":[{"id":"f5f28076-d14e-4ac8-a0e0-6ea63f2fc0c5","vocabulary_id":"2","name":"ses"},{"id":"c88a0434-1fa8-4176-9957-839d5da83ed6","vocabulary_id":"2","name":"boundaries"},{"id":"6aa20850-0568-4e85-9ba7-a3b77f4691a8","vocabulary_id":"2","name":"k-means"},{"id":"775dbb58-b2cc-46df-8b96-f9be3e5a6013","vocabulary_id":"2","name":"agglomerative hierarchical clustering"},{"id":"ac177da5-ba57-4304-be2a-a7b52227dea7","vocabulary_id":"2","name":"principle component analysis"}],"groups":[{"description":"\u003Cp\u003EThe EPSCoR MILES program builds Idaho\u0027s capacity to study complex social-ecological processes, especially those associated with water demand and valuation of ecosystem services. This research characterizes patterns and identifies social drivers of urban growth and ecological change, including valuable ecosystem services. \u003C\/p\u003E\n\u003Cp\u003EVisit them at \u003Ca href=\u0022https:\/\/www.idahoecosystems.org\u0022\u003Ehttps:\/\/www.idahoecosystems.org\u003C\/a\u003E\u003C\/p\u003E\n","id":"1f04d677-d544-47bc-91fd-b85bdb11b6ec","image_display_url":"https:\/\/dkan.nkn.uidaho.edu\/sites\/default\/files\/MILES_logo_stack.png","title":"EPSCoR MILES","name":"group\/epscor-miles"},{"description":"\u003Cp\u003EIdaho State University, a Carnegie-classified doctoral research and teaching institution founded in 1901, attracts students from around the world to its Idaho campuses. At the main campus in Pocatello, and at locations in Meridian, Idaho Falls and Twin Falls, ISU offers access to high-quality education in more than 250 programs.\u003C\/p\u003E\n\u003Cp\u003ELearn more at \u003Ca href=\u0022https:\/\/www.isu.edu\u0022\u003Ehttps:\/\/www.isu.edu\u003C\/a\u003E\u003C\/p\u003E\n","id":"ea4b940c-347f-440a-ba90-23b6bb01560f","image_display_url":"https:\/\/dkan.nkn.uidaho.edu\/sites\/default\/files\/ISU-black-transbkgrd.png","title":"Idaho State University","name":"group\/idaho-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"}]}]} Error | RCDS Data Repository

Error

The website encountered an unexpected error. Please try again later.