Publications by authors named "F Seaton"

Soil porosity and its reciprocal bulk density are important environmental state variables that enable modelers to represent hydraulic function and carbon storage. Biotic effects and their 'dynamic' influence on such state variables remain largely unknown for larger scales and may result in important, yet poorly quantified environmental feedbacks. Existing representation of hydraulic function is often invariant to environmental change and may be poor in some systems, particularly non-arable soils.

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The thin layer of soil at the earth's surface supports life, storing water and nutrients for plant uptake. These processes occur in the soil pore space, often half the soil volume, but our understanding of how this volume responds to environmental change is poor. Convention, has been to predict soil porosity, or its reciprocal bulk density (BD), from soil texture using pedotransfer functions (PTFs).

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Arabic-speaking immigrants and refugees constitute one of the largest immigrant groups in Sweden. Previous research on Arabic-speaking immigrants indicates elevated levels of psychological disorders, including depression and anxiety. The aim of the present pilot study was to examine the efficacy of an internet-delivered cognitive behavioural treatment (ICBT) in an Arabic-speaking immigrant population.

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A warming climate and expected changes in average and extreme rainfall emphasise the importance of understanding how the land surface routes and stores surface water. The availability and movement of water within an ecosystem is a fundamental control on biological and geophysical activity, and influences many climatic feedbacks. A key phenomenon influencing water infiltration into the land surface is soil hydrophobicity, or water repellency.

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Article Synopsis
  • Soil biota makes up about 25% of global biodiversity and plays a crucial role in nutrient cycling and primary production, prompting interest in studying belowground biodiversity across different ecosystems.
  • A national-scale metabarcoding analysis of 436 sites in 7 temperate ecosystems reveals that belowground animal and microbial richness often show different trends; specifically, animal richness is primarily influenced by land use intensity while microbial richness is more linked to environmental conditions.
  • The study confirms that these divergent patterns of belowground diversity are consistent across various land uses and can be effectively analyzed using standardized metabarcoding techniques.
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