Spatiotemporal changes of carbon storage in forest carbon pools of Western Turkey: 1972–2016

Küçüker, Derya Mumcu

doi:10.1007/s10661-020-08431-x

Cited by 6 publications

(12 citation statements)

References 40 publications

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“…as 0.35 and 0.63 t m −3 , respectively. Instead of using these values, taking a fixed amount for all deciduous trees would contribute to under-or over-estimating forest carbon stocks, as stated by Njana (2017) and Mumcu Kucuker (2020). Therefore, researchers should use species-specific values from local studies rather than the fixed averages suggested for conifer and deciduous forests (GDF 2017).…”

Section: Discussionmentioning

confidence: 99%

“…This may be one of the earliest studies considering the actual amount of deadwood on the ground. Using various remote sensing products, there are numerous studies modelling forest biomass and carbon stored in different pools of forest ecosystems (Le Toan et al 2011;Günlü and Ercanlı 2018;Pham et al 2018;Hernando et al 2019;Mumcu Kucuker 2020). Günlü and Ercanlı (2018), for example, used ALOS PALSAR data to estimate carbon stocks in AGB of Oriental beech (Fagus orientalis L.) stands in northern Turkey.…”

Section: Discussionmentioning

confidence: 99%

“…The spatial pattern of forest carbon stocks may substantially change over time. Therefore, carbon dynamics of forested landscapes should be analysed periodically, as done by Değermenci and Zengin (2016) and Mumcu Kucuker (2020).…”

Section: Discussionmentioning

confidence: 99%

“…The indirect method, on the other hand, is much more practical and is generally used when there are no biomass equations at hand (Hu and Wang 2008;Njana 2017). This method is based on forest inventory data and various coefficients such as biomass expansion factors, root-to-shoot ratios, and carbon fractions of dry matter (IPCC 2006;Somogyi et al 2007;Mumcu Kucuker 2020).…”

Section: Calculation Of Stocks In Different Carbon Poolsmentioning

confidence: 99%

“…On the one hand, fuelwood removals and deforestation are critical carbon sources due to their contributions to CO 2 emissions. And on the other hand, forests are considered significant carbon sinks since they can fix large amounts of carbon in their woody biomass (Hu and Wang 2008;Patel and Majumdar 2011;Mumcu Kucuker 2020). Thus, the smart management of carbon stocks in the forest is crucial for climate change mitigation.…”

Section: Introductionmentioning

confidence: 99%

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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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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Calculation Of Stocks In Different Carbon Poolsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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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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Spatiotemporal patterns and driving factors of carbon dynamics in forest ecosystems: A case study from Turkey

Küçüker

Tuyoglu

2021

Integr Envir Assess & Manag

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Evaluating the spatiotemporal patterns of carbon dynamics is critical for both understanding the role of forest ecosystems in the carbon cycle and developing effective forest policies to mitigate the impacts of climate change. This study analyzes the effects of spatiotemporal changes on carbon dynamics based on landscape structure for the Hisar Planning Unit, Turkey, using forest inventory data between 1973 and 2015. The total carbon stock increased from 1434 .49 Gg in 1973 to 1919 Gg in 2015, an increase of 33.8%. The mean annual carbon storage was 11.54 Gg • year −1 , including 4.28 Gg • year −1 in biomass and 7.26 Gg • year −1 in soil over four decades. The most significant carbon pool in the total carbon stock was from the soil, with 71.6%, 70.7%, and 69.4% of the total carbon storage in 1973, 1998, and 2015, respectively. Pure pine stands, overmature development stages, fully covered stands, and older forests were the prevailing factors affecting carbon density. The conversion from degraded (1442.47 ha, 14.85%), coppice (157.04 ha, 3.9%), and non-forest lands (1412.91 ha, 5.2%) to productive forests with afforestation or restoration activities significantly boosted the total carbon storage. Furthermore, increasing awareness and stewardship in forest management coupled with improved economic well-being reduced the pressure on the forests, leading to an increase in the quality of forest structure. These changes in landscape structure resulted in the heterogeneous distribution of carbon dynamics. In conclusion, understanding the spatiotemporal patterns of carbon dynamics is crucial for both forest managers and policy-makers in developing sustainable forest management practices and climate mitigation strategies for ecological sustainability and climate-smart forestry.

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A GIS-based methodology for sustainable farming planning: Assessment of land use/cover changes and carbon dynamics at farm level

Dargains

Cabral

2021

Land Use Policy

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Spatiotemporal changes of carbon storage in forest carbon pools of Western Turkey: 1972–2016

Cited by 6 publications

References 40 publications

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

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

Spatiotemporal patterns and driving factors of carbon dynamics in forest ecosystems: A case study from Turkey

A GIS-based methodology for sustainable farming planning: Assessment of land use/cover changes and carbon dynamics at farm level

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