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European Journal of Soil Science
Article . 2015 . Peer-reviewed
License: CC BY
Data sources: Crossref
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European Journal of Soil Science
Article
License: CC BY
Data sources: UnpayWall
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PubMed Central
Other literature type . 2015
Data sources: PubMed Central
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https://dx.doi.org/10.60692/95...
Other literature type . 2015
Data sources: Datacite
https://dx.doi.org/10.60692/44...
Other literature type . 2015
Data sources: Datacite
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Sustainable grassland systems: a modelling perspective based on the North Wyke Farm Platform

أنظمة المراعي المستدامة: منظور النمذجة على أساس منصة N orth Wyke Farm P
Authors: Lianhai Wu; X. Zhang; B. A. Griffith; Tom Misselbrook;

Sustainable grassland systems: a modelling perspective based on the North Wyke Farm Platform

Abstract

SummaryThe North Wyke Farm Platform (NWFP) provides data from the field‐ to the farm‐scale, enabling the research community to address key issues in sustainable agriculture better and to test models that are capable of simulating soil, plant and animal processes involved in the systems. The tested models can then be used to simulate how agro‐ecosystems will respond to changes in the environment and management. In this study, we used baseline datasets generated from the NWFP to validate the Soil‐Plant‐Atmosphere Continuum System (SPACSYS) model in relation to the dynamics of soil water content, water loss from runoff and forage biomass removal. The validated model, together with future climate scenarios for the 2020s, 2050s and 2080s (from the International Panel on Climate Change (IPCC) Special Report on Emissions Scenarios (SRES): medium (A1B) and large (A1F1) emission scenarios), were used to simulate the long‐term responses of the system with three contrasting treatments on the NWFP. Simulation results demonstrated that the SPACSYS model could estimate reliably the dynamics of soil water content, water loss from runoff and drainage, and cut biomass for a permanent sward. The treatments responded in different ways under the climate change scenarios. More carbon (C) is fixed and respired by the swards treated with an increased use of legumes, whereas less C was lost through soil respiration with the planned reseeding. The deep‐rooting grass in the reseeding treatment reduced N losses through leaching, runoff and gaseous emissions, and water loss from runoff compared with the other two treatments.

Country
United Kingdom
Keywords

Biomass (ecology), Biogeochemical Cycling of Nutrients in Aquatic Ecosystems, Ecosystem Resilience, Soil Science, Carbon Dynamics in Peatland Ecosystems, Environmental science, Leaching (pedology), Special section: Farm‐scale experiments, Agricultural and Biological Sciences, Engineering, Soil water, Environmental Chemistry, Climate change, Biology, Ecosystem, Soil science, Ecology, Forage, Nutrient Cycling, Life Sciences, Agriculture, Hydrology (agriculture), Grassland, Surface runoff, Soil carbon, Perennial plant, Agronomy, Geotechnical engineering, FOS: Biological sciences, Environmental Science, Physical Sciences, Soil Carbon Dynamics and Nutrient Cycling in Ecosystems, Ecosystem Functioning

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    19
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
19
Top 10%
Average
Top 10%
Green
hybrid