Development of an Integrated DBH Estimation Model Based on Stand and Climatic Conditions

15195 8 83668 2 235070 document 83668 forests-Development of an Integrated DBH Estimation Model Based on Stand and Climatic Conditions.pdf application/pdf 37bb209644bad98c88c1b4fcbd03d777 MD5 6117224 2018-04-10 11:32:20 https://pure.iiasa.ac.at/id/eprint/15195/1/forests-Development%20of%20an%20Integrated%20DBH%20Estimation%20Model%20Based%20on%20Stand%20and%20Climatic%20Conditions.pdf 15195 1 1 application/pdf text en public cc_by_4

forests-Development of an Integrated DBH Estimation Model Based on Stand and Climatic Conditions.pdf

published 83669 1 235077 document 83669 indexcodes.txt text/x-c++ 71bfaa083757a9c8657ad6ee029c53b1 MD5 13643 2018-04-10 11:41:56 https://pure.iiasa.ac.at/id/eprint/15195/2/indexcodes.txt 15195 2 2 text/x-c++ other Generate index codes conversion from text to indexcodes en public

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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/83668 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/83668 http://eprints.org/relation/issmallThumbnailVersionOf https://pure.iiasa.ac.at/id/document/83668 archive 353 disk0/00/01/51/95 2018-04-10 11:35:41 2021-08-27 17:30:07 2018-04-10 11:35:41 article show Piao D. Kim M. 8828 Choi G.-M. Moon J. Yu H. Lee W.-K. Wang S. Jeon S.W. Son Y. Son Y.-M. Cui G. Development of an Integrated DBH Estimation Model Based on Stand and Climatic Conditions pub prog_esm climate factor; diameter at breast height (DBH); semi-variogram; residuals; national forest inventory Using Korean National Forest Inventory (NFI) data, our study developed a model to estimate stand mean diameter at breast height (DBH) reflecting the influence of site and climate factors on forest growth for the major tree species in South Korea. A DBH estimation model was developed using stand-level variables (stand age, site index and number of trees per hectare) as independent factors. The spatial autocorrelation of residuals of the model was identified using semi-variogram analysis for each tree species. Further, a residual model, in which residuals were estimated by climatic factors (mean temperature, sum temperature in the growing season and precipitation), was developed assuming that the spatial autocorrelation of residuals reflects the differences in regional climatic conditions. Linear regression analysis showed that residuals of all tree species were significantly correlated with temperature and precipitation. The DBH and residual models were integrated to estimate the current DBH under different climatic factors (temperature and precipitation) and stand-level variables. This model had high reliability (R2 = 0.74–0.79), and no obvious dependencies or patterns in residuals were noted. Our results indicated that temperature increases caused by climate change would negatively affect the DBH estimate of coniferous trees, but not of oak species. 2018-03-09 published MDPI 10.3390/f9030155 156 public Forests 9 3 155 TRUE 1999-4907 FALSE no info:eu-repo/semantics/article