2018
DOI: 10.1007/s10661-018-6656-9
|View full text |Cite
|
Sign up to set email alerts
|

Compatible above-ground biomass equations and carbon stock estimation for small diameter Turkish pine (Pinus brutia Ten.)

Abstract: Small trees and saplings are important for forest management, carbon stock estimation, ecological modeling, and fire management planning. Turkish pine (Pinus brutia Ten.) is a common coniferous species and comprises 25.1% of total forest area of Turkey. Turkish pine is also important due to its flammable fuel characteristics. In this study, compatible above-ground biomass equations were developed to predict needle, branch, stem wood, and above-ground total biomass, and carbon stock assessment was also describe… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
4
0

Year Published

2019
2019
2023
2023

Publication Types

Select...
7
1

Relationship

0
8

Authors

Journals

citations
Cited by 11 publications
(4 citation statements)
references
References 25 publications
0
4
0
Order By: Relevance
“…Models derived from this study can be useful for the calculation of slash fuels deposited on the forest floor after silvicultural interventions. In addition, by using these developed models, it will be possible for the estimation of dry crown biomass for determination of carbon stock (Sakici et al, 2018), assessment of carbon emission released due to crown fires (Kucuk and Bilgili, 2010) for climate change projection, and development of decision support system for the establishment of fire danger rating system (Bilgili, Dinc Durmaz, Saglam, Kucuk & Baysal, 2006). Such models can enhance the understanding of tree growth and increment in forestry science.…”
Section: Discussionmentioning
confidence: 99%
“…Models derived from this study can be useful for the calculation of slash fuels deposited on the forest floor after silvicultural interventions. In addition, by using these developed models, it will be possible for the estimation of dry crown biomass for determination of carbon stock (Sakici et al, 2018), assessment of carbon emission released due to crown fires (Kucuk and Bilgili, 2010) for climate change projection, and development of decision support system for the establishment of fire danger rating system (Bilgili, Dinc Durmaz, Saglam, Kucuk & Baysal, 2006). Such models can enhance the understanding of tree growth and increment in forestry science.…”
Section: Discussionmentioning
confidence: 99%
“…Kahriman et al (2016) carried out a study on the yield of pure Pinus brutia forests in the vicinity of Antalya and Mersin. Besides, another research on aboveground biomass and carbon stocks of young Pinus brutia forests in Türkiye was carried out by Sakici et al (2018). However, our study differs from the previous ones as it was conducted in the broad-leaved, coniferous, and mixed forest ecozone in a transition zone to Northern Anatolia.…”
Section: Introductionmentioning
confidence: 89%
“…For the same tree species in Turkey, no information has been reported for the vertical distribution of needles and branches percentage over the tree crowns for a pre-determined length in studies including crown fuel load , Bilgili and Kucuk 2009, Güngöroğlu et al 2018) and biomass determination (Durkaya et al 2009, Sönmez et al 2016, Sakici et al 2018, Eker et al 2017. Similar information of vertical distribution of fuel or biomass on Calabrian pine trees from other countries has not been reported either (Zianis et al 2011, de-Miguel et al 2014.…”
Section: Crown Fuel Load and Vertical Fuel Distributionmentioning
confidence: 99%
“…However, crown fuel distribution by vertical distribution on tree crowns was rarely taken into account (Kellomaki et al 1980, Mäkelä and Vanninen 2001, Mitsopoulos and Dimitrakopoulos 2007b, Kucuk et al 2007, Gómez-Vázquez et al 2013. Over the last decade, crown fuel load , Bilgili and Kucuk 2009, Güngöroğlu et al 2018 or biomass determination studies in Calabrian pine species have been gaining more interest in Turkey (Durkaya et al 2009, Sönmez et al 2016, Eker et al 2017, Sakici et al 2018) and sparsely distributed areas in Europe and elsewhere (Zianis et al 2011, de Miguel et al 2014.…”
Section: Introductionmentioning
confidence: 99%