Literature DB >> 21930336

An assessment of landscape characteristics affecting estuarine nitrogen loading in an urban watershed.

Xiaojun Yang1.   

Abstract

Exploring the quantitative association between landscape characteristics and the ecological conditions of receiving waters has recently become an emerging area for eco-environmental research. While the landscape-water relationship research has largely targeted on inland aquatic systems, there has been an increasing need to develop methods and techniques that can better work with coastal and estuarine ecosystems. In this paper, we present a geospatial approach to examine the quantitative relationship between landscape characteristics and estuarine nitrogen loading in an urban watershed. The case study site is in the Pensacola estuarine drainage area, home of the city of Pensacola, Florida, USA, where vigorous urban sprawling has prompted growing concerns on the estuarine ecological health. Central to this research is a remote sensor image that has been used to extract land use/cover information and derive landscape metrics. Several significant landscape metrics are selected and spatially linked with the nitrogen loading data for the Pensacola bay area. Landscape metrics and nitrogen loading are summarized by equal overland flow-length rings, and their association is examined by using multivariate statistical analysis. And a stepwise model-building protocol is used for regression designs to help identify significant variables that can explain much of the variance in the nitrogen loading dataset. It is found that using landscape composition or spatial configuration alone can explain most of the nitrogen loading variability. Of all the regression models using metrics derived from a single land use/cover class as the independent variables, the one from the low density urban gives the highest adjusted R-square score, suggesting the impact of the watershed-wide urban sprawl upon this sensitive estuarine ecosystem. Measures towards the reduction of non-point source pollution from urban development are necessary in the area to protect the Pensacola bay ecosystem and its ecosystem services.
Copyright © 2011 Elsevier Ltd. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2011        PMID: 21930336     DOI: 10.1016/j.jenvman.2011.07.025

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


  5 in total

1.  Predicting nitrogen loading with land-cover composition: how can watershed size affect model performance?

Authors:  Tao Zhang; Xiaojun Yang
Journal:  Environ Manage       Date:  2012-07-08       Impact factor: 3.266

2.  Assessing the influence of land use and land cover datasets with different points in time and levels of detail on watershed modeling in the North River Watershed, China.

Authors:  Jinliang Huang; Pei Zhou; Zengrong Zhou; Yaling Huang
Journal:  Int J Environ Res Public Health       Date:  2012-12-27       Impact factor: 3.390

3.  Land classification and change intensity analysis in a coastal watershed of Southeast China.

Authors:  Pei Zhou; Jinliang Huang; Robert Gilmore Pontius; Huasheng Hong
Journal:  Sensors (Basel)       Date:  2014-07-01       Impact factor: 3.576

4.  Detection of critical LUCC indices and sensitive watershed regions related to lake algal blooms: a case study of Taihu Lake.

Authors:  Chen Lin; Ronghua Ma; Zhihu Su; Qing Zhu
Journal:  Int J Environ Res Public Health       Date:  2015-01-29       Impact factor: 3.390

5.  Identifying Watershed Regions Sensitive to Soil Erosion and Contributing to Lake Eutrophication--A Case Study in the Taihu Lake Basin (China).

Authors:  Chen Lin; Ronghua Ma; Bin He
Journal:  Int J Environ Res Public Health       Date:  2015-12-24       Impact factor: 3.390

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.