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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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Journal ArticleDOI

Drylands in the Earth System

David S. Schimel
- 22 Jan 2010 - 
TL;DR: Evidence is presented that the dryland Yatir Forest in Israel takes up carbon at rates similar to those of pine forests in continental Europe, which contradicts received wisdom.
Journal ArticleDOI

Ecosystem structure, function, and composition in rangelands are negatively affected by livestock grazing.

TL;DR: It is suggested that livestock grazing in Australia is unlikely to produce positive outcomes for ecosystem structure, function, and composition or even as a blanket conservation tool unless reduction in specific response variables is an explicit management objective.
Journal ArticleDOI

Activity, ecology, and population dynamics of microorganisms in soil.

TL;DR: In this paper, activity, ecology, and population dynamics of Microorganisms in Soil are discussed, and the authors propose a method to detect the presence of microorganisms in the soil.
Journal ArticleDOI

It is elemental: soil nutrient stoichiometry drives bacterial diversity

TL;DR: It is found that bacterial diversity and composition were primarily driven by variation in soil resource stoichiometry, itself linked to different land uses, and secondarily driven by other important biodiversity drivers such as climate, soil spatial heterogeneity, soil pH, root influence and microbial biomass.
Journal ArticleDOI

Response of Soil Properties and Microbial Communities to Agriculture: Implications for Primary Productivity and Soil Health Indicators

TL;DR: A meta-analysis from a dataset generated from 102 peer-reviewed publications as well as unpublished data provides evidence on the predictable nature of the microbial community responses to vegetation type and can be exploited in future for developing a new set of indicators for primary productivity and soil health.
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