4 research outputs found

    Forest Stand Structure and Primary Production in relation to Ecosystem Development, Disturbance, and Canopy Composition

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    Temperate forests are complex ecosystems that sequester carbon (C) in biomass. C storage is related to ecosystem-scale forest structure, changing over succession, disturbance, and with community composition. We quantified ecosystem biological and physical structure in two forest chronosequences varying in disturbance intensity, and three late successional functional types to examine how multiple structural expressions relate to ecosystem C cycling. We quantified C cycling as wood net primary production (NPP), ecosystem structure as Simpson’s Index, and physical structure as leaf quantity (LAI) and arrangement (rugosity), examining how wood NPP-structure relates to light distribution and use-efficiency. Relationships between structural attributes of biodiversity, LAI, and rugosity differed. Development of rugosity was conserved regardless of disturbance and composition, suggesting optimization of vegetation arrangement over succession. LAI and rugosity showed significant positive productivity trends over succession, particularly within deciduous broadleaf forests, suggesting these measures of structure contain complementary, not redundant, information related to C cycling

    Defining a spectrum of integrative traitâ based vegetation canopy structural types

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    Vegetation canopy structure is a fundamental characteristic of terrestrial ecosystems that defines vegetation types and drives ecosystem functioning. We use the multivariate structural trait composition of vegetation canopies to classify ecosystems within a global canopy structure spectrum. Across the temperate forest subâ set of this spectrum, we assess gradients in canopy structural traits, characterise canopy structural types (CST) and evaluate drivers and functional consequences of canopy structural variation. We derive CSTs from multivariate canopy structure data, illustrating variation along three primary structural axes and resolution into six largely distinct and functionally relevant CSTs. Our results illustrate that withinâ ecosystem successional processes and disturbance legacies can produce variation in canopy structure similar to that associated with subâ continental variation in forest types and ecoâ climatic zones. The potential to classify ecosystems into CSTs based on suites of structural traits represents an important advance in understanding and modelling structureâ function relationships in vegetated ecosystems.Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/152994/1/ele13388_am.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/152994/2/ele13388.pd

    Defining a spectrum of integrative trait‐based vegetation canopy structural types

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    Vegetation canopy structure is a fundamental characteristic of terrestrial ecosystems that defines vegetation types and drives ecosystem functioning. We use the multivariate structural trait composition of vegetation canopies to classify ecosystems within a global canopy structure spectrum. Across the temperate forest subâ set of this spectrum, we assess gradients in canopy structural traits, characterise canopy structural types (CST) and evaluate drivers and functional consequences of canopy structural variation. We derive CSTs from multivariate canopy structure data, illustrating variation along three primary structural axes and resolution into six largely distinct and functionally relevant CSTs. Our results illustrate that withinâ ecosystem successional processes and disturbance legacies can produce variation in canopy structure similar to that associated with subâ continental variation in forest types and ecoâ climatic zones. The potential to classify ecosystems into CSTs based on suites of structural traits represents an important advance in understanding and modelling structureâ function relationships in vegetated ecosystems.Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/152994/1/ele13388_am.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/152994/2/ele13388.pd
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