科研成果
1.Chen, Y., Gao, Y., Huang, X., Li, S., Zhang, Z.*, & Zhan, A.* (2024). Incorporating adaptive genomic variation into predictive models for invasion risk assessment. Environmental Science and Ecotechnology, 18, 100299.
2.Qu, M.#, Zhang, Y.#, Gao, Z.#, Zhang, Z.#, Liu, Y., Wan, S., ... & Lin, Q.* (2023). The genetic basis of the leafy seadragon’s unique camouflage morphology and avenues for its efficient conservation derived from habitat modeling. Science China Life Sciences, 66, 1213-1230.
3.Hu, Z. M., Zhang, Q. S., Zhang, J., Kass, J. M., Mammola, S., Fresia, P., ... & Zhang, Z.* (2021). Intraspecific genetic variation matters when predicting seagrass distribution under climate change. Molecular Ecology, 30, 3840-3855.
4.Wang, X.#, Zhang, Z.#, Mammola, S., Ho, A. L., Zhang, Y., Qin, G., & Lin, Q.* (2021). Exploring ecological specialization in pipefish using genomic, morphometric and ecological evidence. Diversity and Distributions, 27, 1393-1406.
5.Zhang, Z.*#, Mammola, S.#, McLay, C. L., Capinha, C., & Yokota, M.* (2020). To invade or not to invade? Exploring the niche-based processes underlying the failure of a biological invasion using the invasive Chinese mitten crab. Science of the Total Environment, 728, 138815.
6.Zhang, Z.*, Kass, J. M., Mammola, S., Koizumi, I., Li, X., Tanaka, K., ... & Usio, N. (2021). Lineage‐level distribution models lead to more realistic climate change predictions for a threatened crayfish. Diversity and Distributions, 27, 684-695.