Research Papers

Evaluation of precipitation-vegetation interaction on a climate-sensitive landscape using vegetation indices

[+] Author Affiliations
Zsuzsanna Ladányi, János Rakonczai, Boudewijn van Leeuwen

University of Szeged, Department of Physical Geography and Geoinformatics, POB 653, Szeged H-6701, Hungary

J. Appl. Remote Sens. 5(1), 053519 (April 14, 2011). doi:10.1117/1.3576115
History: Received September 14, 2010; Revised February 18, 2011; Accepted March 22, 2011; Published April 14, 2011; Online April 14, 2011
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Many places in the world show spectacular landscape changes caused by increasingly rapid alterations of natural phenomena observed in the last 3 to 4 decades. More and more studies reveal the consequences of global climate change strengthened by anthropogenic effects. The cause of rapid changes in the landscape is often due to the alteration of the natural water-cycle. Using moderate resolution imaging spectoradiometer vegetation indices, this study analyzed the relationship between biomass and precipitation, being one of the most important climate elements, over a Hungarian landscape that has been highly affected by the process of groundwater-table sinking in the last decades. Research proved that the reasons for this decrease are mainly the precipitation shortage due to climate change and to a much smaller extent, anthropogenic effects. In the forests of the study area, the annual distribution of precipitation proved to be an important factor, and the biomass produced by forests is influenced by the precipitation over a shorter interval—compared to less sensitive landscapes. Under increasing aridification, further degradation of vegetation can be expected as has already been observed during drier periods in the case of tree species with high water demand.

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© 2011 Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation

Zsuzsanna Ladányi ; János Rakonczai and Boudewijn van Leeuwen
"Evaluation of precipitation-vegetation interaction on a climate-sensitive landscape using vegetation indices", J. Appl. Remote Sens. 5(1), 053519 (April 14, 2011). ; http://dx.doi.org/10.1117/1.3576115


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