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Showing 1–8 of 8 results
Advanced filters: Author: Haozhi Zhou Clear advanced filters
  • The authors report coexisting ferromagnetism, polar distortion and metallicity in quasi-two-dimensional Ca3Co3O8, providing a platform to exploit magnetoelectric coupling in a metallic system.

    • Jianbing Zhang
    • Shengchun Shen
    • Pu Yu
    Research
    Nature Materials
    Volume: 23, P: 912-919
  • Wood density is an important plant trait. Data from 1.1 million forest inventory plots and 10,703 tree species show a latitudinal gradient in wood density, with temperature and soil moisture explaining variation at the global scale and disturbance also having a role at the local level.

    • Lidong Mo
    • Thomas W. Crowther
    • Constantin M. Zohner
    ResearchOpen Access
    Nature Ecology & Evolution
    Volume: 8, P: 2195-2212
  • Analysis of ground-sourced and satellite-derived models reveals a global forest carbon potential of 226 Gt outside agricultural and urban lands, with a difference of only 12% across these modelling approaches.

    • Lidong Mo
    • Constantin M. Zohner
    • Thomas W. Crowther
    ResearchOpen Access
    Nature
    Volume: 624, P: 92-101
  • The authors demonstrate a chemopiezoelectric effect in which the displacive migration of oxygen vacancies driven by an electric field induces a large strain in the surface layer of thin (K,Na)NbO3 ceramics. They achieve an electrostrain of 1.9% under a field of −3 kV mm−1, with thermal stability up to 200 °C.

    • Ze Xu
    • Xiaoming Shi
    • Ke Wang
    Research
    Nature Materials
    Volume: 24, P: 565-573
  • Alternative stable states in forests have implications for the biosphere. Here, the authors combine forest biodiversity observations and simulations revealing that leaf types across temperate regions of the NH follow a bimodal distribution suggesting signatures of alternative forest states.

    • Yibiao Zou
    • Constantin M. Zohner
    • Thomas W. Crowther
    ResearchOpen Access
    Nature Communications
    Volume: 15, P: 1-15
  • Integrating inventory data with machine learning models reveals the global composition of tree types—needle-leaved evergreen individuals dominate, followed by broadleaved evergreen and deciduous trees—and climate change risks.

    • Haozhi Ma
    • Thomas W. Crowther
    • Constantin M. Zohner
    ResearchOpen Access
    Nature Plants
    Volume: 9, P: 1795-1809