Litterfall production, carbon and nutrient return to the forest floor in Pinus brutia forests in Turkey

Erkan, Neşat; Çömez, Aydın; Aydın, Ali

doi:10.1080/02827581.2020.1815830

Cited by 5 publications

(8 citation statements)

References 21 publications

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“…C and N concentrations of litterfall components. The variations in the C and N concentrations of the litterfall components are mainly determined by the species and sampling months (Thomas, Martin 2012;Kim et al 2019;See et al 2019;Erkan et al 2020). Many studies have reported that the C concentration of the litterfall is negatively correlated with the N and positively correlated with the lignin concentration (Macinnis-Ng, Schwendenmann 2015; Kim et al 2017;See et al 2019).…”

Section: Discussionmentioning

confidence: 99%

“…Carbon (C) and nitrogen (N) in forest ecosystems are returned to the forest floor through the decomposition process of litterfall (Bray, Gorham 1964). The chemical composition of litterfall is an important factor in determining the microbial activities, decomposition, and C and N release in forest ecosystems (García-Palacios et al 2013;Erkan et al 2020;Jasińska et al 2020). Thereby, the importance of a quantitative evaluation of the C and N inputs by litterfall is increasing.…”

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confidence: 99%

“…Thereby, the importance of a quantitative evaluation of the C and N inputs by litterfall is increasing. However, the C and N concentrations and litterfall input are determined by environmental factors, ecological factors, and forest management activities (An et al 2017;Kim et al 2019;Erkan et al 2020;Jasińska et al 2020). In particular, differences in the litterfall inputs among stands may have crucial consequences for the C and N cycling of a stand due to the differences in the leaf or non-leaf litter inputs (Bray, Gorham 1964;Erkan et al 2020).…”

mentioning

confidence: 99%

“…However, the C and N concentrations and litterfall input are determined by environmental factors, ecological factors, and forest management activities (An et al 2017;Kim et al 2019;Erkan et al 2020;Jasińska et al 2020). In particular, differences in the litterfall inputs among stands may have crucial consequences for the C and N cycling of a stand due to the differences in the leaf or non-leaf litter inputs (Bray, Gorham 1964;Erkan et al 2020). For example, Bray and Gorham (1964) reported that the leaf and to-https://doi.org/10.17221/75/2022-JFS tal litter inputs were higher in coniferous stands than in broad-leaved stands.…”

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confidence: 99%

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Comparisons of carbon and nitrogen dynamics of litterfall components in adjacent Pinus densiflora and Quercus variabilis stands

Choi¹,

Baek²,

Kim³

et al. 2022

J. For. Sci.

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This study aimed to determine the effects of the stand and month on the carbon (C) and nitrogen (N) concentrations and the inputs of the litterfall components in adjacent Pinus densiflora and Quercus variabilis stands. The monthly C concentrations of the litterfall components were significantly higher in the P. densiflora stand than in the Q. variabilis stand, whereas the monthly N concentrations of the leaf and miscellaneous litter were higher in the Q. variabilis stand than in the P. densiflora stand. The coefficient variations of the N concentrations were higher than those of C concentrations of the litterfall components. The monthly C and N inputs of the leaf litter showed a unimodal pattern in the Q. variabilis stand, whereas multimodal patterns in the P. densiflora stand could be seen. The annual total C inputs were not significantly different between the P. densiflora [2 691 kg(C)·ha–1·yr–1] and Q. variabilis [2 439 kg(C)·ha–1·yr–1] stands. However, the annual total N inputs were significantly higher in the Q. variabilis [44.5 kg(N)·ha–1·yr–1] stand than in the P. densiflora [38.6 kg(N)·ha–1·yr–1] stand. These results indicate that the C and N dynamics in the litterfall components were affected by the species and sampling months in adjacent P. densiflora and Q. variabilis stands.

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Section: Discussionmentioning

confidence: 99%

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Comparisons of carbon and nitrogen dynamics of litterfall components in adjacent Pinus densiflora and Quercus variabilis stands

Choi¹,

Baek²,

Kim³

et al. 2022

J. For. Sci.

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“…In forest ecosystems, carbon is stored not only in living (above-and below-ground) biomass but also in several carbon pools including soil, and dead organic matter (i.e., deadwood and litter) (IPCC 2006;Erkan et al 2020). Each pool contributes a certain proportion to the total carbon stock (TCS) in the ecosystem.…”

Section: Introductionmentioning

confidence: 99%

Carbon stock estimation by dual-polarized synthetic aperture radar (SAR) and forest inventory data in a Mediterranean forest landscape

Vatandaşlar

Abdikan

2021

J. For. Res.

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Forest ecosystems play a crucial role in mitigating global climate change by forming massive carbon sinks. Their carbon stocks and stock changes need to be quantified for carbon budget balancing and international reporting schemes. However, direct sampling and biomass weighing may not always be possible for quantification studies conducted in large forests. In these cases, indirect methods that use forest inventory information combined with remote sensing data can be beneficial. Synthetic aperture radar (SAR) images offer numerous opportunities to researchers as freely distributed remote sensing data. This study aims to estimate the amount of total carbon stock (TCS) in forested lands of the Kizildag Forest Enterprise. To this end, the actual storage capacities of five carbon pools, i.e. above- and below-ground, deadwood, litter, and soil, were calculated using the indirect method based on ground measurements of 264 forest inventory plots. They were then associated with the backscattered values from Sentinel-1 and ALOS-2 PALSAR-2 data in a Geographical Information System (GIS). Finally, TCS was separately modelled and mapped. The best regression model was developed using the HH polarization of ALOS-2 PALSAR-2 with an adjusted R2 of 0.78 (p < 0.05). According to the model, the estimated TCS was about 2 Mt for the entire forest, with an average carbon storage of 133 t ha−1. The map showed that the distribution of TCS was heterogenic across the study area. Carbon hotspots were mostly composed of pure stands of Anatolian black pine and mixed, over-mature stands of Lebanese cedar and Taurus fir. It was concluded that the total carbon stocks of forest ecosystems could be estimated using appropriate SAR images at acceptable accuracy levels for forestry purposes. The use of additional ancillary data may provide more delicate and reliable estimations in the future. Given the implications of this study, the spatiotemporal dynamics of carbon can be effectively controlled by forest management when coupled with easily accessible space-borne radar data.

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Nutrient pools and loss due to the removal of harvesting residue in cedar plantations (a case study from Türkiye)

Güner,

Çömez,

Güner

et al. 2023

Environ Monit Assess

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Litterfall production, carbon and nutrient return to the forest floor in Pinus brutia forests in Turkey

Cited by 5 publications

References 21 publications

Comparisons of carbon and nitrogen dynamics of litterfall components in adjacent Pinus densiflora and Quercus variabilis stands

Comparisons of carbon and nitrogen dynamics of litterfall components in adjacent Pinus densiflora and Quercus variabilis stands

Carbon stock estimation by dual-polarized synthetic aperture radar (SAR) and forest inventory data in a Mediterranean forest landscape

Nutrient pools and loss due to the removal of harvesting residue in cedar plantations (a case study from Türkiye)

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