Integrated social-ecological data for regional natural resource management
Natural resource managers need information about both human and natural systems and interactions between those systems. Much data is available, but mostly from disparate sources and data have often been collected at different time steps and at different geographic scales. We used insights from the l...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2024-02-01
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| Series: | Data in Brief |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340923008685 |
| _version_ | 1797317199212314624 |
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| author | Vanessa M. Adams Stuart Allen Ruth Steel Natalie Stoeckl Silva Larson |
| author_facet | Vanessa M. Adams Stuart Allen Ruth Steel Natalie Stoeckl Silva Larson |
| author_sort | Vanessa M. Adams |
| collection | DOAJ |
| description | Natural resource managers need information about both human and natural systems and interactions between those systems. Much data is available, but mostly from disparate sources and data have often been collected at different time steps and at different geographic scales. We used insights from the literature to select 270 relevant variables, available at national scale, from 33 unique (Australian) data sources. There were numerous with repeat measures, so in total we have 425 variables: 143 specific to 2016, 148 specific to 2021, and 134 available for both periods. We used GIS to summarize the variables spatially based on two geographic boundaries: one describes 63 Natural Resource Management Regions; the other describes 419 (sub) bioregions (formally, IBRA – Interim Biogeographic Regionalisation for Australia). Data deficiencies prevented us from being able to report on all variables for all regions. In the NRM dataset many regions are offshore islands, about which data are not generally available. Moreover, many IBRA regions are small and household level data are not always available at that scale. For analyses requiring a complete dataset at a single time step, our 2021 dataset for NRM regions includes 270 unique variables that describe 56 regions. Our IBRA data includes 214 variables describing 409 regions. To help managers select appropriate data for specific problems/contexts, the metadata file also categorises variables according to (a) whether they pertain to the social or ecological system, or interactions; (b) the segment of society described (where relevant); and (c) the frequency with which data are updated. |
| first_indexed | 2024-03-08T03:31:27Z |
| format | Article |
| id | doaj.art-8b7a42c89f97421eae034ab52bb77faf |
| institution | Directory Open Access Journal |
| issn | 2352-3409 |
| language | English |
| last_indexed | 2024-03-08T03:31:27Z |
| publishDate | 2024-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Data in Brief |
| spelling | doaj.art-8b7a42c89f97421eae034ab52bb77faf2024-02-11T05:10:07ZengElsevierData in Brief2352-34092024-02-0152109806Integrated social-ecological data for regional natural resource managementVanessa M. Adams0Stuart Allen1Ruth Steel2Natalie Stoeckl3Silva Larson4School of Geography, Planning, and Spatial Sciences, University of Tasmania, Private Bag 51, Hobart, TAS 7001, Australia; Corresponding author.School of Geography, Planning, and Spatial Sciences, University of Tasmania, Private Bag 51, Hobart, TAS 7001, AustraliaCollege of Business and Economics, University of Tasmania, Private Bag 51, Hobart, TAS 7001, AustraliaCollege of Business and Economics, University of Tasmania, Private Bag 51, Hobart, TAS 7001, AustraliaCollege of Business and Economics, University of Tasmania, Private Bag 51, Hobart, TAS 7001, AustraliaNatural resource managers need information about both human and natural systems and interactions between those systems. Much data is available, but mostly from disparate sources and data have often been collected at different time steps and at different geographic scales. We used insights from the literature to select 270 relevant variables, available at national scale, from 33 unique (Australian) data sources. There were numerous with repeat measures, so in total we have 425 variables: 143 specific to 2016, 148 specific to 2021, and 134 available for both periods. We used GIS to summarize the variables spatially based on two geographic boundaries: one describes 63 Natural Resource Management Regions; the other describes 419 (sub) bioregions (formally, IBRA – Interim Biogeographic Regionalisation for Australia). Data deficiencies prevented us from being able to report on all variables for all regions. In the NRM dataset many regions are offshore islands, about which data are not generally available. Moreover, many IBRA regions are small and household level data are not always available at that scale. For analyses requiring a complete dataset at a single time step, our 2021 dataset for NRM regions includes 270 unique variables that describe 56 regions. Our IBRA data includes 214 variables describing 409 regions. To help managers select appropriate data for specific problems/contexts, the metadata file also categorises variables according to (a) whether they pertain to the social or ecological system, or interactions; (b) the segment of society described (where relevant); and (c) the frequency with which data are updated.http://www.sciencedirect.com/science/article/pii/S2352340923008685AustraliaBiodiversityEconomicsHouseholdsIntegrated regional datasetsRegional planning |
| spellingShingle | Vanessa M. Adams Stuart Allen Ruth Steel Natalie Stoeckl Silva Larson Integrated social-ecological data for regional natural resource management Data in Brief Australia Biodiversity Economics Households Integrated regional datasets Regional planning |
| title | Integrated social-ecological data for regional natural resource management |
| title_full | Integrated social-ecological data for regional natural resource management |
| title_fullStr | Integrated social-ecological data for regional natural resource management |
| title_full_unstemmed | Integrated social-ecological data for regional natural resource management |
| title_short | Integrated social-ecological data for regional natural resource management |
| title_sort | integrated social ecological data for regional natural resource management |
| topic | Australia Biodiversity Economics Households Integrated regional datasets Regional planning |
| url | http://www.sciencedirect.com/science/article/pii/S2352340923008685 |
| work_keys_str_mv | AT vanessamadams integratedsocialecologicaldataforregionalnaturalresourcemanagement AT stuartallen integratedsocialecologicaldataforregionalnaturalresourcemanagement AT ruthsteel integratedsocialecologicaldataforregionalnaturalresourcemanagement AT nataliestoeckl integratedsocialecologicaldataforregionalnaturalresourcemanagement AT silvalarson integratedsocialecologicaldataforregionalnaturalresourcemanagement |