$Estimation of forest litter fractions by regression analysis in different aged stands of Pinus nigra$
Código QR

Estimation of forest litter fractions by regression analysis in different aged stands of Pinus nigra

SUMMARY: Forest litter (FL) carbon accumulation patterns can be predicted by certain tree and stand parameters to assess how variably managed forests may accumulate carbon. The aim of our study was to use tree stand data to refine methods to predict the composition of FL fragments in temperate, semi...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Baris Tecimen,Hüseyin, Sevgi,Orhan, Yalcin Yilmaz,Osman, Carus,Serdar, Kavgaci,Ali, Akburak,Serdar
Lenguaje:	English
Publicado:	Universidad Austral de Chile, Facultad de Ciencias Forestales 2019
Materias:	black pine dry branch thickness forest litter stand age
Acceso en línea:	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-92002019000100041
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:scielo:S0717-92002019000100041
record_format	dspace
spelling	oai:scielo:S0717-920020190001000412019-05-09Estimation of forest litter fractions by regression analysis in different aged stands of Pinus nigraBaris Tecimen,HüseyinSevgi,OrhanYalcin Yilmaz,OsmanCarus,SerdarKavgaci,AliAkburak,Serdar black pine dry branch thickness forest litter stand age SUMMARY: Forest litter (FL) carbon accumulation patterns can be predicted by certain tree and stand parameters to assess how variably managed forests may accumulate carbon. The aim of our study was to use tree stand data to refine methods to predict the composition of FL fragments in temperate, semi-humid black pine forests (Pinus nigra) in western Anatolia, Turkey. Predictive models were established between FL fractions (fine fragments of < 2, 2-4, and > 4 mm and coarse woody debris of branches < 5 cm, > 5 cm, cones and bark) and tree parameters (stand age, tree height, diameter at breast height, tree basal area, tree density, lowest tree crown height and tree crown thickness). We sampled 105 stands of ages < 50, 50-100, and > 100 years, that were distributed at 5 altitudinal steps (500 to 1,750 m). A multi-regression analysis was used to estimate FL fraction for different-age stands. Total FL dry biomass varied from 18 to 213 Mg/ha (average: 94 Mg/ha). The fine fragment fraction (> 4 mm) represented the largest proportion of FL (36 %). Coarse woody debris amounted for 6.6-7.8 % of the FL and branches < 5 cm accounted for the highest proportion (12.4-26.4 %) of coarse woody debris. The most influential parameters predicting FL fragment proportions included dry branch thickness, thinning rate, height and age (R2: 0.11 to 0.67). The combination of long-term observation and fine and coarse litter trapping methods should improve the estimation rates of sequestered carbon in forest ecosystems.info:eu-repo/semantics/openAccessUniversidad Austral de Chile, Facultad de Ciencias ForestalesBosque (Valdivia) v.40 n.1 20192019-01-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-92002019000100041en10.4067/S0717-92002019000100041
institution	Scielo Chile
collection	Scielo Chile
language	English
topic	black pine dry branch thickness forest litter stand age
spellingShingle	black pine dry branch thickness forest litter stand age Baris Tecimen,Hüseyin Sevgi,Orhan Yalcin Yilmaz,Osman Carus,Serdar Kavgaci,Ali Akburak,Serdar Estimation of forest litter fractions by regression analysis in different aged stands of Pinus nigra
description	SUMMARY: Forest litter (FL) carbon accumulation patterns can be predicted by certain tree and stand parameters to assess how variably managed forests may accumulate carbon. The aim of our study was to use tree stand data to refine methods to predict the composition of FL fragments in temperate, semi-humid black pine forests (Pinus nigra) in western Anatolia, Turkey. Predictive models were established between FL fractions (fine fragments of < 2, 2-4, and > 4 mm and coarse woody debris of branches < 5 cm, > 5 cm, cones and bark) and tree parameters (stand age, tree height, diameter at breast height, tree basal area, tree density, lowest tree crown height and tree crown thickness). We sampled 105 stands of ages < 50, 50-100, and > 100 years, that were distributed at 5 altitudinal steps (500 to 1,750 m). A multi-regression analysis was used to estimate FL fraction for different-age stands. Total FL dry biomass varied from 18 to 213 Mg/ha (average: 94 Mg/ha). The fine fragment fraction (> 4 mm) represented the largest proportion of FL (36 %). Coarse woody debris amounted for 6.6-7.8 % of the FL and branches < 5 cm accounted for the highest proportion (12.4-26.4 %) of coarse woody debris. The most influential parameters predicting FL fragment proportions included dry branch thickness, thinning rate, height and age (R2: 0.11 to 0.67). The combination of long-term observation and fine and coarse litter trapping methods should improve the estimation rates of sequestered carbon in forest ecosystems.
author	Baris Tecimen,Hüseyin Sevgi,Orhan Yalcin Yilmaz,Osman Carus,Serdar Kavgaci,Ali Akburak,Serdar
author_facet	Baris Tecimen,Hüseyin Sevgi,Orhan Yalcin Yilmaz,Osman Carus,Serdar Kavgaci,Ali Akburak,Serdar
author_sort	Baris Tecimen,Hüseyin
title	Estimation of forest litter fractions by regression analysis in different aged stands of Pinus nigra
title_short	Estimation of forest litter fractions by regression analysis in different aged stands of Pinus nigra
title_full	Estimation of forest litter fractions by regression analysis in different aged stands of Pinus nigra
title_fullStr	Estimation of forest litter fractions by regression analysis in different aged stands of Pinus nigra
title_full_unstemmed	Estimation of forest litter fractions by regression analysis in different aged stands of Pinus nigra
title_sort	estimation of forest litter fractions by regression analysis in different aged stands of pinus nigra
publisher	Universidad Austral de Chile, Facultad de Ciencias Forestales
publishDate	2019
url	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-92002019000100041
work_keys_str_mv	AT baristecimenhuseyin estimationofforestlitterfractionsbyregressionanalysisindifferentagedstandsofpinusnigra AT sevgiorhan estimationofforestlitterfractionsbyregressionanalysisindifferentagedstandsofpinusnigra AT yalcinyilmazosman estimationofforestlitterfractionsbyregressionanalysisindifferentagedstandsofpinusnigra AT carusserdar estimationofforestlitterfractionsbyregressionanalysisindifferentagedstandsofpinusnigra AT kavgaciali estimationofforestlitterfractionsbyregressionanalysisindifferentagedstandsofpinusnigra AT akburakserdar estimationofforestlitterfractionsbyregressionanalysisindifferentagedstandsofpinusnigra
_version_	1718444246181085184

Estimation of forest litter fractions by regression analysis in different aged stands of Pinus nigra

Ejemplares similares