Forest Carbon Sequestration: The Impact of Forest Management

Bravo, Felipe; Rı́o, Miren del; Bravo‐Oviedo, Andrés; Ruíz-Peinado, Ricardo; Peso, Carlos del; Montero, Gregorio

doi:10.1007/978-3-319-28250-3_13

Cited by 9 publications

(6 citation statements)

References 86 publications

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“…Areas with lower C sequestration should be reviewed in terms of density, spatial distribution, etc., to propose appropriate silvicultural treatments, based on the characteristics of different forest stands with higher fixation values. Our results underline the opportunities to adapt to climate change through forest management, as identified by others (e.g., [45,72]). In previous works, it was demonstrated that, under a nonintervention scenario, C sequestration is lower than with intervention, particularly if the harvested biomass is included [40].…”

Section: Stocks and Management Implicationssupporting

confidence: 85%

Assessment of the Carbon Stock in Pine Plantations in Southern Spain through ALS Data and K-Nearest Neighbor Algorithm Based Models

Navarrete-Poyatos

Navarro-Cerrillo

Lara-Gómez³

et al. 2019

Geosciences

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Accurate estimation of forest biomass to enable the mapping of forest C stocks over large areas is of considerable interest nowadays. Airborne laser scanning (ALS) systems bring a new perspective to forest inventories and subsequent biomass estimation. The objective of this research was to combine growth models used to update old inventory data to a reference year, low-density ALS data, and k-nearest neighbor (kNN) algorithm Random Forest to conduct biomass inventories aimed at estimating the C sequestration capacity in large Pinus plantations. We obtained a C stock in biomass (W t -S) of 12.57 Mg·ha −1 , ranging significantly from 19.93 Mg·ha −1 for P. halepensis to 49.05 Mg·ha −1 for P. nigra, and a soil organic C stock of the composite soil samples (0-40 cm) ranging from 20.41 Mg·ha −1 in P. sylvestris to 37.32 Mg·ha −1 in P. halepensis. When generalizing these data to the whole area, we obtained an overall C-stock value of 48.01 MgC·ha −1 , ranging from 23.96 MgC·ha −1 for P. halepensis to 58.09 MgC·ha −1 for P. nigra. Considering the mean value of the on-site C stock, the study area sustains 1,289,604 Mg per hectare (corresponding to 4,732,869 Mg CO 2 ), with a net increase of 4.79 Mg·ha −1 ·year −1 . Such C cartography can help forest managers to improve forest silviculture with regard to C sequestration and, thus, climate change mitigation.In addition to biomass, C is also stored in litter and forest soils. In fact, soils are the largest reservoir of terrestrial C, for both organic and inorganic forms [6]. Soil organic carbon (SOC) can be stored in soils for thousands of years under, suitable conditions, and is a vital component of plant nutrient cycles [7]. Forest management aimed at increasing stand growth has been shown to be effective in increasing the C sequestration capacity [8,9]. Thinning treatments improve health and tree vigor, increasing forest productivity [10], while the soil C content shows a slight decrease in the first stages, recovering its level and increasing once the canopy is restored [11].Accurate estimation of forest biomass to produce spatially explicit mapping of forest C stocks over large study areas is of considerable interest nowadays [12]. In this regard, the field-based inventory is the most common method for evaluating the dendrometric characteristics and stand dynamics of forests. These classic forest inventories have a high demand for labor, are expensive, and require lots of field plots to obtain full inventory data for large areas on the ground [13,14]. Thus, with the advances in remote sensing techniques, these traditional methods are being replaced or supplemented with Light Detection and Ranging (LiDAR) techniques, which provide stand data over large areas, optimizing time and costs. LiDAR technology brings a new perspective to forest inventories by directly providing three-dimensional information on the entire surface [12].LiDAR (Laser Imaging Detection and Ranging) systems from an airborne platform (airborne laser scanning, ALS) are equipped with a scanning device th...

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Section: Stocks and Management Implicationssupporting

confidence: 85%

Assessment of the Carbon Stock in Pine Plantations in Southern Spain through ALS Data and K-Nearest Neighbor Algorithm Based Models

Navarrete-Poyatos

Navarro-Cerrillo

Lara-Gómez³

et al. 2019

Geosciences

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“…El carbono almacenado es un aspecto clave en los ecosistemas de bosques, pues resulta del balance entre la fotosíntesis y la respiración autotrófica; se identifica que parte del CO 2 capturado se usa para crear biomasa viva, mientras que el resto se devuelve a la atmósfera. Cuando las hojas o ramas mueren y se descomponen aumenta el carbono del suelo y también se libera una pequeña cantidad a la atmósfera a través de la respiración heterotrófica (Bravo et al, 2017).…”

Section: Introductionunclassified

“…Se desconoce el nivel de carbono almacenado en parte de las regiones tropicales, lo que limita la valoración y conservación de estos ecosistemas debido a la escasez de estimaciones de biomasa en vivo y su variación en los diferentes ambientes. Este se distribuye entre tres compartimentos: biomasa de plantas vivas (tallo, ramas, follaje, raíces), detritos de plantas (ramas y conos caídos, basura forestal, tocones de árboles, copas de árboles, troncos) y tierra (humus mineral orgánico, suelo mineral superficial y profundo) (Bravo et al, 2017).…”

Section: Introductionunclassified

Biomasa aérea de familias botánicas en un bosque siempreverde piemontano sometido a grados de intervención

et al. 2021

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Se evaluó la biomasa aérea acumulada en lo concerniente a familias botánicas en un bosque siempreverde piemontano sometido a diferentes grados de intervención en la zona alta de la microcuenca del río Puyo. En cinco transectos de 0.1 ha se registraron las especies con DAP ≥ 10 cm. Se encontró menor número de familias en sitios con alto grado de perturbación. La biomasa aérea varió de 161.84 a 339.70 Mg.ha-1, presentándose mayor acumulación en individuos de menor clase diamétrica. Las familias con mayor índice de valor de importancia de biomasa fueron Moraceae, Arecaceae y Euphorbiaceae, reconocidas por su potencial en cuanto a estructura y carbono. El análisis de correspondencia canónica sin tendencia (DCA) indicó variación en la contribución de biomasa para cada sitio, existiendo un pequeño número de familias para mantener las reservas de carbono. Los resultados de este estudio brindan información relevante que facilita la toma de decisiones con respecto la restauración de sitios perturbados.

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“…Carbon storage in vegetation via photosynthesis has been highlighted as a promising method for carbon sequestration (Bellassen & Luyssaert, ; Bravo et al., ). The Earth's forests are of particular importance for carbon sequestration because they cover large areas (38.81 M km 2 ; Feng et al., ) and assimilate and store vast quantities of carbon (~2 Pg C/year; Le Quéré et al., ; Pan et al., ).…”

Section: Introductionmentioning

confidence: 99%

Aboveground carbon sequestration in dry temperate forests varies with climate not fire regime

Gordon

Bendall

Stares

et al. 2018

Global Change Biology

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The storage of carbon in plant tissues and debris has been proposed as a method to offset anthropogenic increases in atmospheric [CO ]. Temperate forests represent significant above-ground carbon (AGC) "sinks" because their relatively fast growth and slow decay rates optimise carbon assimilation. Fire is a common disturbance event in temperate forests globally that should strongly influence AGC because: discrete fires consume above-ground biomass releasing carbon to the atmosphere, and the long-term application of different fire-regimes select for specific plant communities that sequester carbon at different rates. We investigated the latter process by quantifying AGC storage at 104 sites in the Sydney Basin Bioregion, Australia, relative to differences in components of the fire regime: frequency, severity and interfire interval. To predict the potential impacts of future climate change on fire/AGC interactions, we stratified our field sites across gradients of mean annual temperature and precipitation and quantified within- and between-factor interactions between the fire and climate variables. In agreement with previous studies, large trees were the primary AGC sink, accounting for ~70% of carbon at sites. Generalised additive models showed that mean annual temperature was the strongest predictor of AGC storage, with a 54% near-linear decrease predicted across the 6.1°C temperature range experienced at sites. Mean annual precipitation, fire frequency, fire severity and interfire interval were consistently poor predictors of total above-ground storage, although there were some significant relationships with component stocks. Our results show resilience of AGC to frequent and severe wildfire and suggest temperature mediated decreases in forest carbon storage under future climate change predictions.

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Forest Carbon Sequestration: The Impact of Forest Management

Cited by 9 publications

References 86 publications

Assessment of the Carbon Stock in Pine Plantations in Southern Spain through ALS Data and K-Nearest Neighbor Algorithm Based Models

Assessment of the Carbon Stock in Pine Plantations in Southern Spain through ALS Data and K-Nearest Neighbor Algorithm Based Models

Biomasa aérea de familias botánicas en un bosque siempreverde piemontano sometido a grados de intervención

Aboveground carbon sequestration in dry temperate forests varies with climate not fire regime

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