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Decoupling of soil nutrient cycles as a function of

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TLDR
In this paper, the authors evaluate how aridity affects the balance between carbon (C), nitrogen (N) and phosphorus (P) in soils collected from 224 dryland sites from all continents except Antarctica and find a negative effect of aridity on the concentration of soil organic C and total N, but a positive effect on inorganic P.
Abstract
The biogeochemical cycles of carbon (C), nitrogen (N) and phosphorus (P) are interlinked by primary production, respiration and decomposition in terrestrial ecosystems. It has been suggested that the C, N and P cycles could become uncoupled under rapid climate change because of the different degrees of control exerted on the supply of these elements by biological and geochemical processes. Climatic controls on biogeochemical cycles are particularly relevant in arid, semi-arid and dry sub-humid ecosystems (drylands) because their biological activity is mainly driven by water availability. The increase in aridity predicted for the twenty-first century in many drylands worldwide may therefore threaten the balance between these cycles, differentially affecting the availability of essential nutrients. Here we evaluate how aridity affects the balance between C, N and P in soils collected from 224 dryland sites from all continents except Antarctica. We find a negative effect of aridity on the concentration of soil organic C and total N, but a positive effect on the concentration of inorganic P. Aridity is negatively related to plant cover, which may favour the dominance of physical processes such as rock weathering, a major source of P to ecosystems, over biological processes that provide more C and N, such as litter decomposition. Our findings suggest that any predicted increase in aridity with climate change will probably reduce the concentrations of N and C in global drylands, but increase that of P. These changes would uncouple the C, N and P cycles in drylands and could negatively affect the provision of key services provided by these ecosystems.

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Citations
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DissertationDOI

Exploring the possibilities of parsimonious nitrogen modelling in different ecosystems

TL;DR: In this paper, two parsimonious nitrogen models have been developed and implemented in two different data availability scenarios, one in a semi-arid natural forest ecosystem and the other in an anthropogenic agricultural ecosystem.
Dissertation

Modelling of the topsoil organic carbon content by analysing the potential of spectroscopic techniques for digital soil mapping

TL;DR: In this article, the authors explored the capacity of spectroscopy for map soil organic carbon content at regional scale using topsoil samples from Galicia (NW-Spain) and developed a spatially non-stationary approach that allows mapping soil organic content and also identifying the factors more relevant for its accumulation in Europe.
References
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Journal ArticleDOI

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Journal ArticleDOI

Mammalian engineers drive soil microbial communities and ecosystem functions across a disturbance gradient.

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Journal ArticleDOI

Factors affecting phosphate sorption and phosphate retention in a desert ecosystem

Kate Lajtha, +1 more
- 01 Sep 1988 - 
TL;DR: In a study of soils from a chronosequence in southern New Mexico, where CaCO3 accumulation is primarily derived from aeolian input, P adsorption was greatest in the most highly calcic horizons and least in horizons of clay and oxyhydroxide accumulation as mentioned in this paper.
Journal ArticleDOI

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TL;DR: Li et al. as discussed by the authors evaluated spatial and temporal patterns in topsoil N and P concentrations and N:P ratio across China's forests and found that soil weathering stage, climatic factors (i.e., temperature and precipitation) and forest types jointly explained approximately 34.1% and 30.4% of spatial variation in soil nitrogen and phosphorus, respectively.
Journal ArticleDOI

Mapping the soils of an Argentine Pampas region using structural equation modelling

TL;DR: In this paper, structural equation modeling (SEM) is used to predict a large number of soil properties simultaneously, while preserving the relationships between them, which can help produce pedologically sound soil maps.
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