Spatial and seasonal dynamics of surface soil carbon in the Luquillo Experimental Forest, Puerto Rico

Wang, Hongqing; Cornell, Joseph D.; Hall, Charles A. S.; Marley, David P.

doi:10.1016/s0304-3800(01)00414-8

Cited by 37 publications

(25 citation statements)

References 34 publications

(67 reference statements)

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“…LULC change was an important factor that weakened the coupling relationship between the changes in NPP and SOC density by altering the amount of litter input and litter quality as well as decomposition rate under given climate conditions (Poeplau and Don 2013;Shi et al 2013b). Slope degree and aspect did not significantly affect NPP or SOC density, which were consistent with some other studies (Wang et al 2002;Mueller and Pierce 2003).…”

Section: Spatial Variation In Soc Densitysupporting

confidence: 88%

Changes in soil carbon stock predicted by a process-based soil carbon model (Yasso07) in the Yanhe watershed of the Loess Plateau

Lü

Akujärvi

et al. 2014

Landscape Ecol

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Contex Soil carbon sequestration is an ecosystem process that can provide important ecosystem services such as climate regulation and mitigation of global warming. Spatiotemporal variation in the soil organic carbon (SOC) stock is the basic information needed for landscape management and determination of regional carbon budgets. Objectives The objective of this study was to evaluate the effect of ecological restoration on SOC stocks and determine the influences of multiple factors in the Yanhe watershed of the Loess Plateau. Methods We coupled the Yasso07 soil carbon model with remote sensing indices as model input. The model performance was evaluated by uncertainty and sensitivity analyses as well as validation against field measurement. Results The modeling captured the spatial pattern of SOC variability across the landscape generally well. Net primary productivity (NPP) was the foremost factor that affecting the spatiotemporal variation of SOC density. Converting cropland to grassland was the most efficient restoration type in soil carbon sequestration in the study period. Land use change influenced the spatial correlation between NPP and SOC density by altering both litter quantity and quality. The changes in land use area tended to have higher contributions to the changes in SOC stock than did the changes in SOC density for different land use types. Conclusions The overall effect of ecological restoration on soil carbon sequestration was dependent on the main vegetation restoration type and the time of recovery. Human-derived land use changes could have more substantial effects on soil carbon budgets compared to natural factors in a short period of time.

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Section: Spatial Variation In Soc Densitysupporting

confidence: 88%

Changes in soil carbon stock predicted by a process-based soil carbon model (Yasso07) in the Yanhe watershed of the Loess Plateau

Lü

Akujärvi

et al. 2014

Landscape Ecol

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“…Topography, aboveground vegetation species and vegetation composition are therefore dominant factors controlling variations of SOM d 13 C with depth at the DHSBR. The topography and aboveground vegetation in a certain area are related closely to the climatic-vegetation zone where the area is located (Stephenson, 1990;Wang et al, 2002). To study the distribution of SOM with depth in different climatic-geographical zones, will provide quantitative data about the vertical distribution of SOM, and may therefore be one key to improving the precision of the studies on soil carbon cycling with terrestrial ecosystem models.…”

Section: C Values Of Plant Debris and Topsoil Sommentioning

confidence: 99%

Spatial and temporal distribution of carbon isotopes in soil organic matter at the Dinghushan Biosphere Reserve, South China

et al. 2005

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The spatial and temporal distribution of carbon isotopes ( 13 C, 14 C) in soil organic matter (SOM) were studied based on SOM content, SOM D 14 C and SOM d 13 C of thinly layered soil samples for six soil profiles with different elevations at the Dinghushan Biosphere Reserve (DHSBR), South China. The results indicate that variations of SOM d 13 C with depth of the soil profiles at different elevations are controlled by soil development, and correlate well with SOM composition in terms of SOM compartments with different turnover rates, and SOM turnover processes at the DHSBR. The effect of carbon isotope fractionation was obvious during transformation of organic matter (OM) from plant debris to SOM in topsoil and SOM turnover processes after the topsoil was buried, which resulted in great increments of OM d 13 C, respectively. Increments of SOM d 13 C of topsoil from d 13 C of plant debris were controlled by SOM turnover rates. Both topsoil SOM d 13 C and plant debris d 13 C increase with elevation, indicating regular changes in vegetation species and composition with elevation, which is consistent with the vertical distribution of vegetation at the DHSBR. The six soil profiles at different elevations had similar characteristics in variations of SOM d 13 C with depth, alterations of SOM contents with depth and that SOM 14 C apparent ages increasing with depth, respectively. These are presumably attributed to the regular distribution of different SOM compartments with depth because of their regular turnover during soil development. Depth with the maximal SOM d 13 C value is different in mechanism and magnitude with penetrating depth of 14 C produced by nuclear explosion into atmosphere from 1952 to 1962, and both indicate controls of topography and vegetation on the distribution of SOM carbon isotopes with depth. Elevation exerts indirect controls on the spatial and temporal distribution of SOM carbon isotopes of the studied mountainous soil profiles at the DHSBR. This study shows that mountainous soil profiles at different elevations and with distinctive aboveground vegetation are presumably ideal sites for studies on soil carbon dynamics in different climatic-vegetation zones.

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“…Microbial biomass and activity of catalse are close related to SOC content [23]. Surface SOC content is highly variable [24], which is impacted strongly by litter decomposition and root exudates, secondary metabolites, and root decrepitude and death [13,25,26]. Moreover, the effects of litter and root on SOC become weak in deeper soil layer due to the decrease of litter transference and root quantity, and SOC decreases with the increase of soil depth [13].…”

Section: Discussionmentioning

confidence: 99%

Soil organic carbon content and stocks in an age-sequence of Metasequoia glyptostroboides plantations in coastal area, East China

Zhang¹,

Zhang²,

Yu³

et al. 2016

Proceedings of the 2015 4th International Conference on Sustainable Energy and Environmental Engineering

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Abstract. Information on soil organic carbon (SOC) content and stocks is not available in coastal shelter forests, East China, although a large area of forests has been established there in the past 30 years. Dawn Redwood (Metasequoia glyptostroboides) is one of the most commonly tree species for shelter plantation in eastern coasts of China, but it is unknown on the temporal distribution of SOC content and stock in the M. glyptostroboides plantations. In this study, SOC contents and stocks, and soil properties were determined in an age-sequence (23, 27, and 33 years old) of M. glyptostroboides plantations in Shanghai, East China. SOC content and stocks increased gradually with the increasing stand age, and the total SOC stocks in the depth of 0-100 cm increased by 53.20% with stand age from 23 to 33 years stand. Meanwhile, SOC showed good relationships with soil physical properties (such as soil particle composition) and chemical properties (such as soil nitrogen and potassium concentrations). Our results indicate that afforestation with M. glyptostroboides can promote SOC content and stocks and improve nutrient conditions in coastal lands, and provide data for estimating ecosystem carbon stocks of coastal shelter forests in China.

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Spatial and seasonal dynamics of surface soil carbon in the Luquillo Experimental Forest, Puerto Rico

Cited by 37 publications

References 34 publications

Changes in soil carbon stock predicted by a process-based soil carbon model (Yasso07) in the Yanhe watershed of the Loess Plateau

Changes in soil carbon stock predicted by a process-based soil carbon model (Yasso07) in the Yanhe watershed of the Loess Plateau

Spatial and temporal distribution of carbon isotopes in soil organic matter at the Dinghushan Biosphere Reserve, South China

Soil organic carbon content and stocks in an age-sequence of Metasequoia glyptostroboides plantations in coastal area, East China

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