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Density-dependent mortality models for mono- and multi-species uneven-aged stands : the role of species mixture
ID
Trifković, Vasilije
(
Avtor
),
ID
Bončina, Andrej
(
Avtor
),
ID
Ficko, Andrej
(
Avtor
)
PDF - Predstavitvena datoteka,
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MD5: 260C65373340B30779C421ADFE520BF3
Verzija: VoR
URL - Izvorni URL, za dostop obiščite
https://www.sciencedirect.com/science/article/pii/S0378112723004942
Galerija slik
Izvleček
The self-thinning law describes the progressive mortality of growing trees in crowded even-aged stands because of competition. In uneven-aged stands, however, density-dependent mortality is relatively poorly known. We developed density-dependent self-thinning models for mono-species and multi-species uneven-aged stands. Three models for mono-species Picea abies, Abies alba and Fagus sylvatica stands, four models for mixed conifer/broadleaf stands and a model for single tree selection stands as a specific type of uneven-aged forest were parametrized by Quantile Regression (QR) and Stochastic Frontier Analysis (SFA) using data from n = 31,612 forest inventory plots in Slovenia. The average slope of the self-thinning line in uneven-aged stands of −1.422 was statistically significantly lower than Reineke’s slope. Maximum stand density was higher in mono-species stands than in multi-species stands. The higher the proportion of beech in a stand, the higher the intercept and slope of the maximum stand density line. In single tree selection stands, the intercept and the slope of the maximum stand density line were highest and statistically different from all other types of uneven-aged forests. Species mixture had an impact on the slope and intercept of the self-thinning line. The slopes of the self-thinning lines differed between the studied types by up to 36% and 69% in the SFA and QR models, respectively, while the intercepts differed by up to 13% and 24%, respectively. However, maximum stand densities differed significantly only between compositionally very dissimilar stand types, such as Fagus sylvatica- or Picea abies-dominated mixtures versus other broadleaf mixtures (e.g., Quercus petraea, Carpinus betulus). The SFA predictions of maximum stand densities were systematically lower and less varying than the QR predictions, but not statistically different. The models can be used to constrain individual tree growth models in uneven-aged forests and to estimate the onset of inter-tree competition in irregular stands.
Jezik:
Angleški jezik
Ključne besede:
mixed forests
,
self-thinning
,
stand density
,
irregular stand structure
,
quantile regression
,
stochastic frontier analysis
Vrsta gradiva:
Članek v reviji
Tipologija:
1.01 - Izvirni znanstveni članek
Organizacija:
BF - Biotehniška fakulteta
Status publikacije:
Objavljeno
Različica publikacije:
Objavljena publikacija
Leto izida:
2023
Št. strani:
12 str.
Številčenje:
Vol. 545, art. 121260
PID:
20.500.12556/RUL-149152
UDK:
630*24
ISSN pri članku:
1872-7042
DOI:
10.1016/j.foreco.2023.121260
COBISS.SI-ID:
163208707
Datum objave v RUL:
04.09.2023
Število ogledov:
454
Število prenosov:
47
Metapodatki:
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Objavi na:
Gradivo je del revije
Naslov:
Forest Ecology and Management
Založnik:
Elsevier
ISSN:
1872-7042
COBISS.SI-ID:
23393541
Licence
Licenca:
CC BY-NC-ND 4.0, Creative Commons Priznanje avtorstva-Nekomercialno-Brez predelav 4.0 Mednarodna
Povezava:
http://creativecommons.org/licenses/by-nc-nd/4.0/deed.sl
Opis:
Najbolj omejujoča licenca Creative Commons. Uporabniki lahko prenesejo in delijo delo v nekomercialne namene in ga ne smejo uporabiti za nobene druge namene.
Sekundarni jezik
Jezik:
Slovenski jezik
Ključne besede:
mešani gozdovi
,
samoredčenje
,
gostota stojišča
,
nepravilna struktura sestoja
,
kvantilna regresija
,
stohastična mejna analiza
Projekti
Financer:
Drugi - Drug financer ali več financerjev
Program financ.:
Slovenia, Ministry of Agriculture, Forestry and Food (MKGP)
Financer:
ARRS - Agencija za raziskovalno dejavnost Republike Slovenije
Številka projekta:
V4-2014
Naslov:
Razvoj modelov za gospodarjenje z gozdovi v Sloveniji
Financer:
ARRS - Agencija za raziskovalno dejavnost Republike Slovenije
Številka projekta:
P4-0059
Naslov:
Gozd, gozdarstvo in obnovljivi gozdni viri
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