rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Seasonality of Ecosystem Processes
  name:
    name part: Yang, Linqing
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Noormets, Asko
    role:
      role term: thesis advisor.
  name:
    name part: Texas A&M University
    role:
      role term: degree granting institution.
  type of resource: text
  genre: bibliography
  origin info:
    place:
      place term: txu
    date issued: 2023
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource.
  abstract: Phenology, the timing of life-cycle events and phases of plants and animals, and their relationship with the environment, especially climate, is an integrative record of the effects of global warming and other environmental changes on biological processes. Current phenology studies focus primarily on structural changes such as bud break, flowering, leaf coloring, and leaf fall. However, the functional aspects of plant activities, although invisible, also provide quantitative measures of plant responses to changes in environmental conditions and underlie the structural changes. Ecosystem processes such as biogeochemical fluxes also show seasonal changes and can be decomposed to key transition dates and phase durations, that characterize the exchanges of mass and energy between plants and the environment and may exert mutual feedback. To address these gaps, this work aims to understand the seasonality of key ecosystem processes. This work consists of four primary contributions in the fields of ecology and phenology. First, chapter 2 generated a standardized flux seasonality data base from global FLUXNET2015 sites, which will help improve assessments of cyclical changes and evaluate the influence that climate and natural and human-caused disturbances have on these rhythms. Second, chapter 3 explored the asynchrony of GPP and ecosystem respiration as well as their sensitivity to temperature, which emphasizes the importance of considering both photosynthesis and respiration in predicting net carbon fluxes induced by phenological shifts. Third, chapter 4 assessed the temporal effects on phenology metrics with eddy covariance data, remote sensing data, and PhenoCam data, in which I quantified the phenology errors caused by data noise and aggregation and found the phenology errors due to temporal resolution mainly come from the data noise. Fourth, chapter 5 quantified the misrepresentation of greenness and photosynthetic phenology in 17 terrestrial biosphere models as well …
  note: by Linqing Yang.
  note: "Major Subject: Ecology and Conservation Biology"
  note: Includes vita.
  note: Doctor of Philosophy Texas A&M University 2022 https://hdl.handle.net/1969.1/198689
  note: Includes bibliographical references.
  note: Text (Dissertation)
  subject:
    topic: Major Ecology and Conservation Biology
  subject:
    topic: Phenology
  subject:
    topic: Ecosystem Processes
  identifier: https://hdl.handle.net/1969.1/198689
  record info:
    record content source: TXA
    record creation date: 241105
    record change date: 20250326141426.6
    record identifier: in00005621176
    language of cataloging:
      language term: eng