Understanding the spatial distribution of factors controlling topsoil organic carbon content in European soils

Rial, Marcela; Cortizas, Antonio Martínez; Rodríguez‐Lado, Luis

doi:10.1016/j.scitotenv.2017.08.012

Cited by 66 publications

(38 citation statements)

References 62 publications

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“…Indeed, in arid and sub-arid agroecosystems, precipitation can stimulate plant production more than the microbial decomposition processes [64]. That was also confirmed by the positive correlation between Ai and measured TOC, as also observed by Delgado-Baquerizo et al [80] and Rial et al [81]. Therefore, our study agrees with Conforti et al [71], who highlighted cool and wet climatic conditions as more favorable to C accumulation in Calabrian soils.…”

Section: Main Factors Affecting C Accumulationsupporting

confidence: 91%

Factors Governing Total and Permanganate Oxidizable C Pools in Agricultural Soils from Southern Italy

et al. 2020

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The present investigation was aimed to quantify the three principal components of the soil carbon (C) stock, namely inorganic, organic and permanganate oxidizable, in 0–5 cm and 5–30 cm soil layers, of the main Mediterranean agricultural land coverages: olive grove, olive forest, citrus grove, vineyard, arable irrigated, arable rainfed and natural soil covered by Mediterranean scrub and garrigue. We assessed the contribution of soil properties and climatic variables on soil TOC and POxC by Pearson’s correlations, multiple linear regressions, principal component analyses and variance partitioning. NAT and both olive cropping systems showed the highest TOC concentration while the other land covers showed values ranging between 8.0 and 26.6 g kg−1. Soil POxC represented between 0.5% and 2.2% of the total soil C. A large number of interrelated factors govern soil C accumulation in Mediterranean agroecosystems. Rainfall and temperature had a selective effect on soil C distribution between the sampling areas, while among soil properties, texture exerted a prominent effect, resulting in positive effects from clay and negative effects from sand. Soil POxC concentration showed a similar trend to soil TOC in all land uses although on each of them represent a different TOC portion.

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Section: Main Factors Affecting C Accumulationsupporting

confidence: 91%

Factors Governing Total and Permanganate Oxidizable C Pools in Agricultural Soils from Southern Italy

et al. 2020

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“…There are many unsupervised statistical methods that have been used to determine an ideal number of clusters, such as Bayesian statistics (Senthilnath et al 2017) and the Hierarchical method (Chen et al 2005, Corstanje et al 2016, Grafius et al 2018). The elbow and silhouette methods (Subbalakshmi et al 2015, Rial et al 2017, Scharsich et al 2017, Wang et al 2017 a , b , Pascucci et al 2018) were used in this study because of their ease of interpretation and reasonable processing time.…”

Section: Methodsmentioning

confidence: 99%

“…Sum of squares is largest between dissimilar clusters and smaller between similar clusters. The optimal number of clusters corresponds to where SS drops substantially, which creates an elbow on the resulting plot (Rial et al 2017). The gclus (Hurley 2012) package was used to perform the elbow method.…”

Section: Methodsmentioning

confidence: 99%

Environmental controls on Landsat‐derived phenoregions across an East African megatransect

2020

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Semiarid and savanna‐type (SAST) ecosystems in East Africa have unique plant species compositions and characteristics that make quantifying this biome's seasonality and interannual variability difficult. Phenoregion classification offers a way to use seasonality of vegetation growth to help understand the phenological spatial patterns of complex landscapes. Here, we used Normalized Difference Vegetation Index (NDVI) time series from Landsat 8 to map phenoregions in scenes centered around national parks from Mt. Kenya National Park (Kenya) to Limpopo National Park (Mozambique). We then assessed whether landscape‐scale controls on phenology are consistent across the region or whether they vary across this latitudinal gradient. We compared our phenoregion maps to MODIS Land Cover and geology, and we used multinomial logistic regression to determine the role that elevation, slope, aspect, and geology play in driving phenological differences. The sites' phenoregions showed no unique land cover composition, suggesting that MODIS land cover does not capture the subtle variations identified in phenoregion analysis. Multinomial logistic regression showed that geographic trend (x‐ and y‐directions) was a strong predictor in four of the five landscapes and that, depending on the scene, geology, elevation, or aspect was a strong secondary predictor. Using seasonality of the NDVI time series to generate phenoregions provides different and, in some cases, more ecologically relevant information, compared to vegetation maps that use only land cover from a single season or time period to generate ecoregions. With a significant population of humans and animals that live in and depend on SAST ecosystems, it is important to better understand vegetation processes and factors that affect them as climate change becomes an increasingly pertinent issue in dry systems.

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“…Therefore, SOC content is much higher in the topsoil than in the deeper soil layers [35]. Because of the proximity of the topsoil to the atmosphere, much of the SOC is relatively exposed to climatic change [36,37]. Given that most active and labile components of SOC are also concentrated in the topsoil [38,39], the SOC content is more heterogeneous and variable in both space and time in the topsoil than in the deep soil layers.…”

Section: Warming Effects On Soc and C:n:p Stoichiometrymentioning

confidence: 99%

Warming Effects on Topsoil Organic Carbon and C:N:P Stoichiometry in a Subtropical Forested Landscape

Xie

et al. 2020

Forests

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Warming effects on agricultural and forest ecosystems have been well documented at broad spatiotemporal scales but less so at stand and landscape scales. To detect the changes in soil organic carbon (SOC) and carbon:nitogen:phosphorus (C:N:P) stoichiometry in response to a short-range warming gradient, we defined an inverse elevation-dependent warming gradient and developed a novel index of warming based on a common environmental lapse rate. We associated the warming gradient and warming index with the changes in SOC and C:N:P stoichiometry and tested the independence of warming effects using partial correlation analysis. SOC content and C:N:P stoichiometric ratios significantly decreased with warming, and the effect of warming on C:N:P stoichiometric ratios were stronger than on SOC content. The relationships of SOC content and C:N:P stoichiometric ratios with warming did not change after controlling for two other energy-related variables, i.e., transmitted total radiation and potential direct incident radiation. However, the strength in the relationships of C:N:P stoichiometric ratios with vegetation-related variables significantly decreased after the warming index was controlled for. As indicated by the random forest regression model, the warming index was the most important variable for predicting SOC variability and the second most important for predicting total N variability, while vegetation-related variables were the most important for predicting C:N:P stoichiometric ratios. Our results showed that warming was responsible for the decrease in SOC content and C:N:P stoichiometric ratios and the warming index was the most important variable for predicting SOC variability. Although the most important variables for C:N:P stoichiometric ratios were related to vegetation, the relationships between C:N:P stoichiometric ratios and vegetation-related variables were significantly affected by warming. These findings demonstrate that warming is the major driver of SOC variability and the decrease in SOC content, as well as of C:N:P stoichiometry, even along a short-range warming gradient.

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Understanding the spatial distribution of factors controlling topsoil organic carbon content in European soils

Cited by 66 publications

References 62 publications

Factors Governing Total and Permanganate Oxidizable C Pools in Agricultural Soils from Southern Italy

Factors Governing Total and Permanganate Oxidizable C Pools in Agricultural Soils from Southern Italy

Environmental controls on Landsat‐derived phenoregions across an East African megatransect

Warming Effects on Topsoil Organic Carbon and C:N:P Stoichiometry in a Subtropical Forested Landscape

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