Haiyang Zhang

Dr. Haiyang Zhang

Hawkesbury Institute for the Environment, Western Sydney University, Locked Bag 1797, Penrith, NSW 2751, Australia
orcid

Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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19 April 2018 in Global Ecology and Biogeography
Verified
Journal Article
Closed access
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HZHaiyang Zhang
Haiyang Zhang
XLXiao‐Tao Lü
Xiao‐Tao Lü
HHHenrik Hartmann
Henrik Hartmann
AKAdrienne Keller
Adrienne Keller
XHXing‐Guo Han
Xing‐Guo Han
RPRichard P. Phillips
Richard P. Phillips

20 June 2024 in Global Change Biology
Verified
Journal Article
Closed access
YZYuxue Zhang
Yuxue Zhang
XGXiaowei Guo
Xiaowei Guo
LCLongxue Chen
Longxue Chen
Yakov KuzyakovYakov Kuzyakov
Yakov Kuzyakov
RWRuzhen Wang
Ruzhen Wang
JSJianxin Sun
Jianxin Sun

6 July 2024 in New Phytologist
Verified
Journal Article
Closed access
NANamuhan
Namuhan
JWJing Wang
Jing Wang
GYGuojiao Yang
Guojiao Yang
YSYantao Song
Yantao Song
YYYunguang Yu
Yunguang Yu
HZHaiyang Zhang
Haiyang Zhang

15 December 2024 in Soil Biology and Biochemistry
Verified
Journal Article
Closed access
LLLi Liu
Li Liu
JYJunjie Yang
Junjie Yang
JWJing Wang
Jing Wang
QYQiang Yu
Qiang Yu
CWCunzheng Wei
Cunzheng Wei
XHXingguo Han
Xingguo Han

14 January 2023 in Journal of Experimental Botany
Verified
Journal Article
Open access
PDF file
MCManjunatha H Chandregowda
Manjunatha H Chandregowda
MTMark G Tjoelker
Mark G Tjoelker
EPElise Pendall
Elise Pendall
HZHaiyang Zhang
Haiyang Zhang
ACAmber Churchill
Amber Churchill
SPSally Power
Sally Power
Sustaining grassland production in a changing climate requires an understanding of plant adaptation strategies, including trait plasticity under warmer and drier conditions. However, our knowledge to date disproportionately relies on aboveground responses, despite the importance of belowground traits in maintaining aboveground growth, especially in grazed systems. We subjected a perennial pasture grass, Festuca arundinacea, to year-round warming (+3 °C) and cool-season drought (60% rainfall reduction) in a factorial field experiment to test the hypotheses that: (i) drought and warming increase carbon allocation belowground and shift root traits towards greater resource acquisition and (ii) increased belowground carbon reserves support post-drought aboveground recovery. Drought and warming reduced plant production and biomass allocation belowground. Drought increased specific root length and reduced root diameter in warmed plots but increased root starch concentrations under ambient temperature. Higher diameter and soluble sugar concentrations of roots and starch storage in crowns explained aboveground production under climate extremes. However, the lack of association between post-drought aboveground biomass and belowground carbon and nitrogen reserves contrasted with our predictions. These findings demonstrate that root trait plasticity and belowground carbon reserves play a key role in aboveground production during climate stress, helping predict pasture responses and inform management decisions under future climates.

26 February 2025 in Mycorrhiza
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Journal Article
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PAPedro M. Antunes
Pedro M. Antunes
SSSidney Luiz Sturmer
Sidney Luiz Sturmer
JBJames D Bever
James D Bever
CLChagnon Pierre Luc
Chagnon Pierre Luc
VCV. Bala Chaudhary
V. Bala Chaudhary
HZHaiyang Zhang
Haiyang Zhang
Arbuscular mycorrhizal (AM) fungi (phylum Glomeromycota) are obligate symbionts with plants influencing plant health, soil a(biotic) processes, and ecosystem functioning. Despite advancements in molecular techniques, understanding the role of AM fungal communities on a(biotic) processes based on AM fungal taxonomy remains challenging. This review advocates for a standardized trait-based framework to elucidate the life-history traits of AM fungi, focusing on their roles in three dimensions: host plants, soil, and AM fungal ecology. We define morphological, physiological, and genetic key traits, explore their functional roles and propose methodologies for their consistent measurement, enabling cross-study comparisons towards improved predictability of ecological function. We aim for this review to lay the groundwork for establishing a baseline of AM fungal trait responses under varying environmental conditions. Furthermore, we emphasize the need to include underrepresented taxa in research and utilize advances in machine learning and microphotography for data standardization.