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Scaling the Effects of Interactions ...

Williams, Laura Jean.

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Scaling the Effects of Interactions among Plants from Individuals to Ecosystems in Experimental Tree Communities.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Scaling the Effects of Interactions among Plants from Individuals to Ecosystems in Experimental Tree Communities./
Author:	Williams, Laura Jean.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2018,
Description:	242 p.
Notes:	Source: Dissertation Abstracts International, Volume: 80-03(E), Section: B.
Contained By:	Dissertation Abstracts International80-03B(E).
Subject:	Ecology. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10933575
ISBN:	9780438566019

Scaling the Effects of Interactions among Plants from Individuals to Ecosystems in Experimental Tree Communities.
Williams, Laura Jean.

Scaling the Effects of Interactions among Plants from Individuals to Ecosystems in Experimental Tree Communities. - Ann Arbor : ProQuest Dissertations & Theses, 2018 - 242 p.

Source: Dissertation Abstracts International, Volume: 80-03(E), Section: B.

Thesis (Ph.D.)--University of Minnesota, 2018.

Forests are complex systems made of many parts -- trees, leaves, birds, insects, and more -- which interact, change and adapt. My dissertation research was inspired by this fascinating complexity as I sought insights into the consequences of interactions among trees to improve our understanding of how diverse forest ecosystems function. Leveraging an international network of tree diversity experiments, my collaborators and I investigated the form and function of trees, their environments, and how trees and their environments function together as forests. Inching toward a fuller picture, I first show that community diversity mediates light and helps to explain leaf trait plasticity. Second, I illustrate how neighbors affect the growth of trees and how these neighborhood effects may be predicted by both intrinsic and plastic trait differences among trees. Third, I demonstrate how the shapes of tree crowns fit together and plastically respond to neighbors, resulting in a measure of spatial complementarity that explains why species mixtures grow more than monocultures (i.e., overyield). And, finally, I combine empirical data with a model of canopy-level photosynthesis to quantify how structural, physiological and phenological differences among and within species each affect stand-level productivity through partitioning light in space, time and intensity. Together, this dissertation illustrates how resource-mediated interactions among plants can scale through ecosystems from trait expression within organs to the growth of individuals and the productivity of forests.

ISBN: 9780438566019Subjects--Topical Terms:

516476
Ecology.

Scaling the Effects of Interactions among Plants from Individuals to Ecosystems in Experimental Tree Communities.
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500 $a Source: Dissertation Abstracts International, Volume: 80-03(E), Section: B.
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502 $a Thesis (Ph.D.)--University of Minnesota, 2018.
520 $a Forests are complex systems made of many parts -- trees, leaves, birds, insects, and more -- which interact, change and adapt. My dissertation research was inspired by this fascinating complexity as I sought insights into the consequences of interactions among trees to improve our understanding of how diverse forest ecosystems function. Leveraging an international network of tree diversity experiments, my collaborators and I investigated the form and function of trees, their environments, and how trees and their environments function together as forests. Inching toward a fuller picture, I first show that community diversity mediates light and helps to explain leaf trait plasticity. Second, I illustrate how neighbors affect the growth of trees and how these neighborhood effects may be predicted by both intrinsic and plastic trait differences among trees. Third, I demonstrate how the shapes of tree crowns fit together and plastically respond to neighbors, resulting in a measure of spatial complementarity that explains why species mixtures grow more than monocultures (i.e., overyield). And, finally, I combine empirical data with a model of canopy-level photosynthesis to quantify how structural, physiological and phenological differences among and within species each affect stand-level productivity through partitioning light in space, time and intensity. Together, this dissertation illustrates how resource-mediated interactions among plants can scale through ecosystems from trait expression within organs to the growth of individuals and the productivity of forests.
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