Allometric Model of Crown Length for Pinus sylvestris L. Stands in South-Western Poland DOI Open Access
Monika Sporek, K. Sporek

Forests, Journal Year: 2023, Volume and Issue: 14(9), P. 1779 - 1779

Published: Aug. 31, 2023

The growth of a tree depends on the size, shape, and functioning crown. length crown is somewhat subjective value because base often difficult to determine. aim this study was develop an allometric model calculate Pinus sylvestris L., which might serve as alternative current equations used especially for stands variable density. three predictive variables, i.e., diameter at breast height, developed showed high compatibility with empirical data within studied differing in age, biosocial position, and, above all, density (SD = 1.786). correlation coefficient between stand (Hemp*) calculated (Hcal*) r 0.974, discrepancy (±) 3.17%. derived can be one components estimate mass needles or leaf area index (LAI) consequently, amount transpiration carbon dioxide bound, crucial context climate change.

Language: Английский

Effects of climate and soil variables on a simultaneous crown radius model system: a case study for Korean pine plantations in Northeast China DOI

Yunfei Yan,

Dongyuan Tian, Zipeng Zhang

et al.

Forestry An International Journal of Forest Research, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 10, 2025

Abstract Crown radius (CR) and crown width are fundamental indicators used to describe tree sizes widely included as predictors in growth yield models. is the arithmetic average of two perpendicular diameters each other, obtained from measurements four radii: east, south, west, north. Climate change soil variations influence physiological activities trees, thereby impacting development. However, most CR studies do not quantify impact climate factors on CR. In this study, we developed a nonlinear mixed-effects simultaneous model system address above problems. This study 7188 trees 98 plantation plots Korean pine (Pinus koraiensis) northeast China. The results showed that (extreme temperature precipitation) (total nitrogen) variables improved performance system. large-sized was more sensitive compared smaller trees. Incorporating plot-level random effects into both fitting accuracy predictive width. Our provide new insights environmental variability planted forests suggest integrating modeling can improve results. These findings may become relevant for improving forest management strategies under changing conditions.

Language: Английский

Citations

0
National Stand Basal Area, Volume and Biomass Growth Models with the Inclusions of Stand Structure for Larch Plantations in China DOI
Yangping Qin, Xiao He, Hong Guo

et al.

Published: Jan. 1, 2025

Language: Английский

Citations

0
Verification of the Scots Pine (Pinus sylvestris L.) Crown Length Model DOI Creative Commons
Monika Sporek, K. Sporek, Martin Kučerka

et al.

Applied Sciences, Journal Year: 2025, Volume and Issue: 15(6), P. 3124 - 3124

Published: March 13, 2025

One of the key modeling procedures is model verification, which ensures its reliability and confidence. In many respects, length crown an interesting biophysical property. Precise determination can be one components used in estimating mass needles or leaf area index (LAI), consequently amount transpiration carbon dioxide bound, crucial context climate change. The objective this study was to calculate Pinus sylvestris using allometric compare these results with actual ones establish degree discrepancy. that tested based on three predictor variables, i.e., diameter at breast height, tree stand density index. verification carried out empirical data collected for 300 sample trees 20 experimental plots located south-western Poland. All stands were pine monocultures habitats fresh mixed forest aged from 28 40 years. studied differed terms (0.68–1.81). comparison between (CLemp) calculated (CLcal) mean lengths expressed by correlation coefficient’, R = 0.955, a divergence (±) 4.57%. dedicated calculating crowns population level. uses index, constant value all within area. Further work needed improve allow precise calculation single tree, taking into account space it has disposal.

Language: Английский

Citations

0
Transfer learning for streamflow forecasting using unguaged MOPEX basins data set DOI

Abdullahi Uwaisu Muhammad,

Sani Abba

Earth Science Informatics, Journal Year: 2023, Volume and Issue: 16(2), P. 1241 - 1264

Published: Feb. 17, 2023

Language: Английский

Citations

7
Allometric Model of Crown Length for Pinus sylvestris L. Stands in South-Western Poland DOI Open Access
Monika Sporek, K. Sporek

Forests, Journal Year: 2023, Volume and Issue: 14(9), P. 1779 - 1779

Published: Aug. 31, 2023

The growth of a tree depends on the size, shape, and functioning crown. length crown is somewhat subjective value because base often difficult to determine. aim this study was develop an allometric model calculate Pinus sylvestris L., which might serve as alternative current equations used especially for stands variable density. three predictive variables, i.e., diameter at breast height, developed showed high compatibility with empirical data within studied differing in age, biosocial position, and, above all, density (SD = 1.786). correlation coefficient between stand (Hemp*) calculated (Hcal*) r 0.974, discrepancy (±) 3.17%. derived can be one components estimate mass needles or leaf area index (LAI) consequently, amount transpiration carbon dioxide bound, crucial context climate change.

Language: Английский

Citations

1