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  • 1
    Keywords: Life sciences ; Agriculture ; Climate change ; Environmental management ; Soil science ; Soil conservation ; Air pollution ; Life Sciences ; Agriculture ; Climate Change ; Atmospheric Protection/Air Quality Control/Air Pollution ; Soil Science & Conservation ; Environmental Management
    Description / Table of Contents: Chapter 1 Introduction to the SAMPLES Approach --- Chapter 2 Targeting Landscapes to Identify Mitigation Options --- Chapter 3 Determining Greenhouse Gas Emissions and Removals Associated with Land Use and Land Cover Change --- Chapter 4 Quantifying Greenhouse Gas Emissions from Managed and Natural Soils --- Chapter 5 A Comparison of Methodologies for Measuring Methane Emissions from Ruminants --- Chapter 6 Quantifying Tree Biomass Carbon Stocks and Fluxes in Agricultural Landscapes --- Chapter 7 Methods for Smallholder Quantification of Soil Carbon Stocks and Stock Changes --- Chapter 8 Yield Estimation of Food and Non-Food Crops in Smallholder Production Systems --- Chapter 9 Scaling Point and Plot Measurements of Greenhouse Gas Fluxes, Balances and Intensities to Whole Farms and Landscapes --- Chapter 10 Methods for Environment-Productivity Trade-off Analysis in Agricultural Systems
    Pages: Online-Ressource (XV, 203 pages) , 33 illustrations, 27 illustrations in color
    ISBN: 9783319297941
    Language: English
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  • 2
    Keywords: Life sciences ; Agriculture ; Climate change ; Environmental management ; Soil science ; Soil conservation ; Air pollution ; Life Sciences ; Agriculture ; Climate Change ; Atmospheric Protection/Air Quality Control/Air Pollution ; Soil Science & Conservation ; Environmental Management
    Description / Table of Contents: Chapter 1 Introduction to the SAMPLES Approach --- Chapter 2 Targeting Landscapes to Identify Mitigation Options --- Chapter 3 Determining Greenhouse Gas Emissions and Removals Associated with Land Use and Land Cover Change --- Chapter 4 Quantifying Greenhouse Gas Emissions from Managed and Natural Soils --- Chapter 5 A Comparison of Methodologies for Measuring Methane Emissions from Ruminants --- Chapter 6 Quantifying Tree Biomass Carbon Stocks and Fluxes in Agricultural Landscapes --- Chapter 7 Methods for Smallholder Quantification of Soil Carbon Stocks and Stock Changes --- Chapter 8 Yield Estimation of Food and Non-Food Crops in Smallholder Production Systems --- Chapter 9 Scaling Point and Plot Measurements of Greenhouse Gas Fluxes, Balances and Intensities to Whole Farms and Landscapes --- Chapter 10 Methods for Environment-Productivity Trade-off Analysis in Agricultural Systems
    Pages: Online-Ressource (XV, 203 pages) , 33 illustrations, 27 illustrations in color
    ISBN: 9783319297941
    Language: English
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  • 3
    Publication Date: 2018-02-07
    Description: Spatial patterning of periodic dynamics is a dramatic and ubiquitous ecological phenomenon arising in systems ranging from diseases to plants to mammals. The degree to which spatial correlations in cyclic dynamics are the result of endogenous factors related to local dynamics vs. exogenous forcing has been one of the central questions in ecology for nearly a century. With the goal of obtaining a robust explanation for correlations over space and time in dynamics that would apply to many systems, we base our analysis on the Ising model of statistical physics, which provides a fundamental mechanism of spatial patterning. We show, using 5 y of data on over 6,500 trees in a pistachio orchard, that annual nut production, in different years, exhibits both large-scale synchrony and self-similar, power-law decaying correlations consistent with the Ising model near criticality. Our approach demonstrates the possibility that short-range interactions can lead to long-range correlations over space and time of cyclic dynamics even in the presence of large environmental variability. We propose that root grafting could be the common mechanism leading to positive short-range interactions that explains the ubiquity of masting, correlated seed production over space through time, by trees.
    Print ISSN: 0027-8424
    Electronic ISSN: 1091-6490
    Topics: Biology , Medicine , Natural Sciences in General
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