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Tie Liang

Biographic Data

ID9251797
NAMETie Liang
GIVEN NAMESTie
FAMILY NAMELiang
SIGNATURELIANG T
AFFILIATIONSUniversity of Massachusetts Amherst
ORCID0000-0002-3284-182X
VERIFIEDYes
TOTAL WORKS2
TOTAL CITATIONS0
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2009
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Biochar as a Nature‐Based Solution for Sustainable and Drought‐Resilient Grassland Restoration

    Open Access•Tahmina Kausar, Feida Sun et al.•ARTICLE•Land Degradation and Development•2026

    Climate‐induced drought is accelerating the degradation of alpine grasslands, which cover 50%–60% of the Qinghai–Tibetan Plateau and provide critical ecosystem services including biodiversity conservation, carbon storage, and forage production. Degradation and recurrent drought events can reduce aboveground biomass by up to 73%, severely impairing soil function and ecosystem stability. This review highlights biochar as a nature‐based solution (Nb…

  • A Model Fit Statistic for Generalized Partial Credit Model

    Open Access•Tie Liang, Craig S Wells•ARTICLE•Educational and Psychological…•2009

    Investigating the fit of a parametric model is an important part of the measurement process when implementing item response theory (IRT), but research examining it is limited. A general nonparametric approach for detecting model misfit, introduced by J. Douglas and A. S. Cohen (2001), has exhibited promising results for the two-parameter logistic model and Samejima s graded response model. This study extends this approach to test the fit of gener…

No prominent works on this page.

  • A Model Fit Statistic for Generalized Partial Credit Model

    Open Access•Tie Liang, Craig S Wells•ARTICLE•Educational and Psychological…•2009

    Investigating the fit of a parametric model is an important part of the measurement process when implementing item response theory (IRT), but research examining it is limited. A general nonparametric approach for detecting model misfit, introduced by J. Douglas and A. S. Cohen (2001), has exhibited promising results for the two-parameter logistic model and Samejima s graded response model. This study extends this approach to test the fit of gener…

  • Biochar as a Nature‐Based Solution for Sustainable and Drought‐Resilient Grassland Restoration

    Open Access•Tahmina Kausar, Feida Sun et al.•ARTICLE•Land Degradation and Development•2026

    Climate‐induced drought is accelerating the degradation of alpine grasslands, which cover 50%–60% of the Qinghai–Tibetan Plateau and provide critical ecosystem services including biodiversity conservation, carbon storage, and forage production. Degradation and recurrent drought events can reduce aboveground biomass by up to 73%, severely impairing soil function and ecosystem stability. This review highlights biochar as a nature‐based solution (Nb…

Advanced Statistical Modeling Techniques (1 work) · Agroforestry and silvopastoral systems (1 work) · Biochar (1 work) · Biocrusts and Microbial Ecology (1 work) · Carbon sequestration (1 work) · Econometrics (1 work) · Ecosystem (1 work) · Goodness of fit (1 work) · Item response theory (1 work) · Mathematics (1 work)

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