Literature DB >> 15737455

The consequences of land use change on nutrient exports: a regional scale assessment in south-west Victoria, Australia.

Daniel Ierodiaconou1, Laurie Laurenson, Marc Leblanc, Frank Stagnitti, Gordon Duff, Scott Salzman, Vincent Versace.   

Abstract

Estimation of nutrient load production based on multi-temporal remotely sensed land use data for the Glenelg-Hopkins region in south-west Victoria, Australia, is discussed. Changes in land use were mapped using archived Landsat data and computerised classification techniques. Land use change has been rapid in recent history with 16% of the region transformed in the last 22 years. Total nitrogen and phosphorus loads were estimated using an export coefficient model. The analysis demonstrates an increase in modelled nitrogen and phosphorus loadings from 1980 to 2002. Whilst such increases were suspected from past anecdotal and ad-hoc evidence, our modelling estimated the magnitude of such increases and thus demonstrated the enormous potential of using remote sensing and GIS for monitoring regional scale environmental processes.

Entities:  

Mesh:

Substances:

Year:  2005        PMID: 15737455     DOI: 10.1016/j.jenvman.2004.09.010

Source DB:  PubMed          Journal:  J Environ Manage        ISSN: 0301-4797            Impact factor:   6.789


  3 in total

1.  Load estimation and source apportionment of nonpoint source nitrogen and phosphorus based on integrated application of SLURP model, ECM, and RUSLE: a case study in the Jinjiang River, China.

Authors:  Haiyang Chen; Yanguo Teng; Jinsheng Wang
Journal:  Environ Monit Assess       Date:  2012-05-29       Impact factor: 2.513

2.  Regional-scale models for relating land cover to basin surface-water quality using remotely sensed data in a GIS.

Authors:  V L Versace; D Ierodiaconou; F Stagnitti; A J Hamilton; M T Walter; B Mitchell; A-M Boland
Journal:  Environ Monit Assess       Date:  2007-09-14       Impact factor: 2.513

3.  Hydrologic landscape regionalisation using deductive classification and random forests.

Authors:  Stuart C Brown; Rebecca E Lester; Vincent L Versace; Jonathon Fawcett; Laurie Laurenson
Journal:  PLoS One       Date:  2014-11-14       Impact factor: 3.240

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.