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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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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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Posted ContentDOI

Nutrient acquisition, rather than stress response over diel cycles, drives microbial transcription in a dessicated Namib Desert soil

TL;DR: Transcriptional network analyses and taxon-resolved functional profiling suggested that nutrient acquisition processes, and not diurnal environmental variation, were the main drivers of community activity in hyperarid Namib Desert soil.
Journal ArticleDOI

Coupling of microbial nitrogen transformations and climate in sclerophyll forest soils from the Mediterranean Region of central Chile.

TL;DR: It is concluded that coupling of microbial mediated soil N transformations during the wetter growing season explains the N enrichment of sclerophyll forest soils.
Journal ArticleDOI

Indicators for evaluating trends of air humidification in arid regions under circumstance of climate change: Relative humidity (RH) vs. Actual water vapour pressure (ea)

TL;DR: Based on daily meteorological data during 1951-2018 from 10 stations in arid regions of North China, the performances of two indicators, relative humidity (RH) and actual water vapour pressure (ea), in evaluating the trends of air humidification are investigated as mentioned in this paper.
Journal ArticleDOI

Essential dryland ecosystem variables

TL;DR: In this article, the authors reviewed the gaps in the existing essential variables of dryland ecosystems and proposed four criteria to identify essential dryland ecosystem variables (EDVs), which highlight the gaps of the current essential variables.
Journal ArticleDOI

Machine Learning Model for Revealing the Characteristics of Soil Nutrients and Aboveground Biomass of Northeast Forest, China

TL;DR: Wang et al. as discussed by the authors determined the soil physical and chemical properties of mature broad-leaved forest in the cold temperate zone of Mt. Changbai, Jilin Province, by measuring pH, NH4 +, organic matter (%), C/N, available phosphorus, alkali-hydrolysable N, rapidly available K, and Cr etc., analysing species diversity characteristics, and estimating aboveground biomass (AGB) of tree species with machine learning models.
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