- Assessment of the mass and surface area of the scots pine (Pinus sylv…
Number of the records: 1  

Assessment of the mass and surface area of the scots pine (Pinus sylvestris L.) needles

  1. SYS0313189
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    $a 10.3390/app12168204 $2 DOI
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    $a Assessment of the mass and surface area of the scots pine (Pinus sylvestris L.) needles $f Monika Sporek, Kazimierz Sporek ... [et al.]
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    $a The assessment of the surface area of all leaves from a tree crown is regarded as one of the key parameters in scaling ecophysiological processes, such as growth, carbon budget, and water management. The purpose of this study was to investigate the variation of the mass and surface area of Scots pine needles, obtained from trees growing in the same habitat conditions but at different stock densities, therefore occupying different biosocial positions. The mass of needles and the leaf area index (LAI) were determined for an even-aged 33-year-old Scots pine stand located at a fresh mixed coniferous forest site in southwest Poland (50 320 N; 17 420 E). The needles, collected from all the sample trees, were subjected to a biometric analysis to determine the total mass of needles from each tree, the mass of 1000 needle pairs, the number of needles per crown, and the needle length distribution. Based on the actual measurements, we derived allometric equations for finding the fresh mass (FMN) and the surface area of the needles (SN), using the diameter at breast height (DBH) as an independent variable. The relationships between the mass of the needles and the DBH were significant (p < 0.0001), and so were those between the surface area of the needles and the DBH (p < 0.001). The fresh mass of needles for the tree stands varied from 6458 kg ha􀀀1 to 11,102 kg ha􀀀1. The LAI was in the range of 3.2 to 5.4 m2 m􀀀2. The mean value of the LAI for the Scots pine stand was 4 m2 m􀀀2. Further studies are required and more algorithms need to be developed for the quantitative assessment of the LAI in Scots pine trees, using a larger number of sample trees with more varied biometric features.
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    $1 001 umb_un_cat*0313317 $1 011 $a 2076-3417 $1 200 1 $a Applied Sciences $v Vol. 12, no. 16 (2022), pp. [1-13] $1 210 $a Basel $c Multidisciplinary Digital Publishing Institute $d 2022
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    $3 umb_un_auth*0185448 $a ihly
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    $3 umb_un_auth*0214093 $a borovica lesná (Pinus Sylvestris L.)
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    $3 umb_un_auth*0294676 $a Sporek $b Kazimierz $4 070 $9 20
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    $3 umb_un_auth*0097922 $a Stebila $b Ján $f 1979- $p UMBFP07 $9 15 $4 070 $T Katedra techniky a technológií
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    $3 umb_un_auth*0140697 $a Kučerka $b Martin $f 1980- $p UMBFP07 $9 15 $4 070 $T Katedra techniky a technológií
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    $3 umb_un_auth*0280117 $a Kminiak $b Richard $4 070 $9 15
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    $3 umb_un_auth*0294677 $a Lubis $b Muhammad Adly Rahandi $4 070 $9 15
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    $u https://www.mdpi.com/2076-3417/12/16/8204 $a Link na zdrojový dokument
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    $x existuji fulltexy
Number of the records: 1  

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