Literature DB >> 18712611

Hurricane Katrina-induced forest damage in relation to ecological factors at landscape scale.

Fugui Wang1, Y Jun Xu.   

Abstract

Forest stand stability to strong winds such as hurricanes has been found to be associated with a number of forest, soil and topography factors. In this study, through applying geographic information system (GIS) and logit regression, we assessed effects of forest characteristics and site conditions on pattern, severity and probability of Hurricane Katrina disturbance to forests in the Lower Pearl River Valley, USA. The factors included forest type, forest coverage, stand density, soil great group, elevation, slope, aspect, and stream buffer zone. Results showed that Hurricane Katrina damaged 60% of the total forested land in the region. The distribution and intensity of the hurricane disturbance varied across the landscape, with the bottomland hardwood forests on river floodplains most severely affected. All these factors had a variety of effects on vulnerability of the forests to the hurricane disturbance and thereby spatial patterns of the disturbance. Soil groups and stand factors including forest types, forest coverage and stand density contributed to 85% of accuracy in modeling the probability of the hurricane disturbance to forests in this region. Besides assessment of Katrina's damage, this study elucidates the great usefulness of remote sensing and GIS techniques combined with statistics modeling in assessment of large-scale risks of hurricane damage to coastal forests.

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Year:  2008        PMID: 18712611     DOI: 10.1007/s10661-008-0500-6

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   2.513


  2 in total

Review 1.  Catastrophic wind damage to North American forests and the potential impact of climate change.

Authors:  C J Peterson
Journal:  Sci Total Environ       Date:  2000-11-15       Impact factor: 7.963

2.  Adaptive growth of tree root systems in response to wind action and site conditions.

Authors:  Bruce C. Nicoll; Duncan Ray
Journal:  Tree Physiol       Date:  1996 Nov-Dec       Impact factor: 4.196

  2 in total
  2 in total

1.  Comparison of remote sensing change detection techniques for assessing hurricane damage to forests.

Authors:  Fugui Wang; Y Jun Xu
Journal:  Environ Monit Assess       Date:  2009-02-25       Impact factor: 2.513

2.  Projecting climate change effects on forest net primary productivity in subtropical Louisiana, USA.

Authors:  Fugui Wang; Y Jun Xu; Thomas J Dean
Journal:  Ambio       Date:  2011-07       Impact factor: 5.129

  2 in total

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