Literature DB >> 26645078

Building Virtual Watersheds: A Global Opportunity to Strengthen Resource Management and Conservation.

Lee Benda1, Daniel Miller2, Jose Barquin3, Richard McCleary4, TiJiu Cai5, Y Ji6.   

Abstract

Modern land-use planning and conservation strategies at landscape to country scales worldwide require complete and accurate digital representations of river networks, encompassing all channels including the smallest headwaters. The digital river networks, integrated with widely available digital elevation models, also need to have analytical capabilities to support resource management and conservation, including attributing river segments with key stream and watershed data, characterizing topography to identify landforms, discretizing land uses at scales necessary to identify human-environment interactions, and connecting channels downstream and upstream, and to terrestrial environments. We investigate the completeness and analytical capabilities of national to regional scale digital river networks that are available in five countries: Canada, China, Russia, Spain, and United States using actual resource management and conservation projects involving 12 university, agency, and NGO organizations. In addition, we review one pan-European and one global digital river network. Based on our analysis, we conclude that the majority of the regional, national, and global scale digital river networks in our sample lack in network completeness, analytical capabilities or both. To address this limitation, we outline a general framework to build as complete as possible digital river networks and to integrate them with available digital elevation models to create robust analytical capabilities (e.g., virtual watersheds). We believe this presents a global opportunity for in-country agencies, or international players, to support creation of virtual watersheds to increase environmental problem solving, broaden access to the watershed sciences, and strengthen resource management and conservation in countries worldwide.

Entities:  

Keywords:  Conservation; Landscape analysis; Modeling; Resource management; Watersheds

Mesh:

Year:  2015        PMID: 26645078     DOI: 10.1007/s00267-015-0634-6

Source DB:  PubMed          Journal:  Environ Manage        ISSN: 0364-152X            Impact factor:   3.266


  4 in total

1.  Next-generation Digital Earth.

Authors:  Michael F Goodchild; Huadong Guo; Alessandro Annoni; Ling Bian; Kees de Bie; Frederick Campbell; Max Craglia; Manfred Ehlers; John van Genderen; Davina Jackson; Anthony J Lewis; Martino Pesaresi; Gábor Remetey-Fülöpp; Richard Simpson; Andrew Skidmore; Changlin Wang; Peter Woodgate
Journal:  Proc Natl Acad Sci U S A       Date:  2012-06-21       Impact factor: 11.205

2.  Projecting forest policy and management effects across ownerships in coastal Oregon.

Authors:  Thomas A Spies; K Norman Johnson
Journal:  Ecol Appl       Date:  2007-01       Impact factor: 4.657

3.  Influence of environment, disturbance, and ownership on forest vegetation of coastal Oregon.

Authors:  Janet L Ohmann; Matthew J Gregory; Thomas A Spies
Journal:  Ecol Appl       Date:  2007-01       Impact factor: 4.657

4.  Distribution of salmon-habitat potential relative to landscape characteristics and implications for conservation.

Authors:  Kelly M Burnett; Gordon H Reeves; Daniel J Miller; Sharon Clarke; Ken Vance-Borland; Kelly Christiansen
Journal:  Ecol Appl       Date:  2007-01       Impact factor: 4.657

  4 in total
  2 in total

1.  Drivers of spatio-temporal patterns of salinity in Spanish rivers: a nationwide assessment.

Authors:  Edurne Estévez; Tamara Rodríguez-Castillo; Alexia María González-Ferreras; Miguel Cañedo-Argüelles; José Barquín
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2018-12-03       Impact factor: 6.237

2.  Suitability of open-access elevation models for micro-scale watershed planning.

Authors:  Arif Oguz Altunel
Journal:  Environ Monit Assess       Date:  2018-08-10       Impact factor: 2.513

  2 in total

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