Leveraging Big Data Towards Functionally-Based, Catchment Scale Restoration Prioritization.
The persistence of freshwater degradation has necessitated the growth of an expansive stream and wetland restoration industry, yet restoration prioritization at broad spatial extents is still limited and ad-hoc restoration prevails. The River Basin Restoration Prioritization tool has been developed...
| Publicado en: | Environmental Management Vol. 62; no. 6; pp. 1007 - 1025 |
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| Autores principales: | , , , , , , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Dec2018
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=133201638&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 133201638 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 0364152X O5H jtl: Environmental Management issn: 0364152X maglogo: N pubinfo: dt: Dec2018 vid: 62 iid: 6 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 133201638 10.1007/s00267-018-1100-z 133201638 ppf: 1007 ppct: 18 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Leveraging Big Data Towards Functionally-Based, Catchment Scale Restoration Prioritization. aug: au: Lovette, John P. Duncan, Jonathan M. Smart, Lindsey S. Fay, John P. Olander, Lydia P. Urban, Dean L. Daly, Nancy Blackwell, Jamie Hoos, Anne B. García, Ana María Band, Lawrence E. affil: Department of Geography, University of North Carolina, Chapel Hill, NC, USA sug: ab: The persistence of freshwater degradation has necessitated the growth of an expansive stream and wetland restoration industry, yet restoration prioritization at broad spatial extents is still limited and ad-hoc restoration prevails. The River Basin Restoration Prioritization tool has been developed to incorporate vetted, distributed data models into a catchment scale restoration prioritization framework. Catchment baseline condition and potential improvement with restoration activity is calculated for all National Hydrography Dataset stream reaches and catchments in North Carolina and compared to other catchments within the river subbasin to assess where restoration efforts may best be focused. Hydrologic, water quality, and aquatic habitat quality conditions are assessed with peak flood flow, nitrogen and phosphorus loading, and aquatic species distribution models. The modular nature of the tool leaves ample opportunity for future incorporation of novel and improved datasets to better represent the holistic health of a watershed, and the nature of the datasets used herein allow this framework to be applied at much broader scales than North Carolina. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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