SSSAJ Journal of Natural Resources and Life Sciences Education
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
 QUICK SEARCH:   [advanced]


     


Published in Soil Sci Soc Am J 61:273-279 (1997)
© 1997 Soil Science Society of America
677 S. Segoe Rd., Madison, WI 53711 USA
This Article
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Similar articles in this journal
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Mikhailova, E. A.
Right arrow Articles by Smith, S. D.
Right arrow Search for Related Content
PubMed
Right arrow Articles by Mikhailova, E. A.
Right arrow Articles by Smith, S. D.
Agricola
Right arrow Articles by Mikhailova, E. A.
Right arrow Articles by Smith, S. D.

Predicting Rainfall Erosivity in Honduras

E. A. Mikhailova* and R. B. Bryant

Cornell Univ., Dep. of Soil, Crop and Atmospheric Sciences, Bradfield Hall, Ithaca, NY 14853

S. J. Schwager

Cornell Univ., Biometrics Unit and Statistics Center, Warren Hall, Ithaca, NY 14853

S. D. Smith

Cornell Univ., Cornell Laboratory for Environmental Applications of Remote Sensing (CLEARS), Emerson Hall, Ithaca, NY 14853

*Corresponding author (em10{at}cornell.edu).

ABSTRACT

Iso-erodent maps can be used in soil conservation planning to identify regions with high rainfall erosive potential. This study was conducted to determine the significance of elevation in predicting the rainfall erosivity index (R) in addition to the average annual precipitation and to develop an iso-erodent map for Honduras. With previously calculated R-factor values for eight climatic stations in Honduras, a regression relationship was established for estimating the rainfall erosivity index as a function of average annual precipitation and elevation with R2 of 0.972. This regression model was used to estimate the rainfall erosivity index for each of the 344 Honduran climatic stations without calculated rainfall erosivity indices. Due to the limited number of data points and their geographic clustering, the best estimates of mean rainfall erosivity indices were for stations with average annual precipitation in the range from 831 to 1313 mm and elevation between 360 and 1080 m. A provisional iso-erodent map of Honduras at a scale 1:1 000 000 was compiled in Arc/Info format, using a basemap obtained from the digital chart of the world. Iso-lines for the 95% prediction intervals for new rainfall erosivity indices are displayed on the map to show the accuracy of the new estimates. Elevation was found to be highly significant in predicting the rainfall erosivity in addition to the average annual precipitation. Data from Costa Rica, Sri Lanka, and the southeastern USA supported this finding.


NOTES

Contribution from the Cornell Univ. Agric. Exp. Stn., Cornell Univ., Ithaca, NY 14853.

Received for publication June 19, 1995.





HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
The SCI Journals Agronomy Journal Crop Science
Journal of Natural Resources
and Life Sciences Education
Vadose Zone Journal
Journal of Plant Registrations Journal of
Environmental Quality
The Plant Genome
Copyright © 1997 by the Soil Science Society of America.