In the paper, proposals of geostatistical processing of space and time data for analysis of gradation phenomena of one of the most dangerous primary vermins of pine trees - pine noctuid. In the Notecka primary forest areas called gradation centers were located, where at the intervals of a dozen years or so mass outbreak foci of the vermin appear creating in this place and during subsequent stages of development of the outbreak foci a high degree of danger for the forest. Basic geostatistical measure of spatial continuity . semivariance and its visualization on a graph called semivariogram were used with the aim to identify spatial structure of the degree of the threat posed by the pine noctuid for the forest. A special type of semivariance, so called surface semivariance was used. Surface semivariograms were used as information source about the strength of spatial correlation and types of semivariance appearing on any directions (azimuths) fixed for outbreake loci in subsequent stages of their development. The analysis of geostatistical data for gradation centers of pine noctuid explicitly show high complication of time and space processes in the development of outbreak loci.
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Outbreak foci and outbreak centers location of forest pest is essential for undertaking successful forest protection actions. Outbreak foci location and understanding the mechanisms of its expansion potentially allow to limit pest outbreak in its focus and as the result to prevent pest outbreak rise. The aim of the research was outbreak foci localization and analyzing the most dangerous pine insect defoliators (nun moth, pine noctuid, pine moth, pine looper and pine sphinx moth) in Notecka Primary Forest (Poland) with the use of GIS. Maps that were created allow spatial-temporal analyses of outbreak of five above mentioned pine insect defoliators in Notecka Primary Forest. In 46 compartments (among 4771) total amount of danger for tree stands by insects in period of 1946-2004 was identified as very high, and in 204 compartments no danger for tree stands was identified.
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