Optimizing urban avian conservation through multi-scenario network simulation in high-density cities: Integrating public preferences to identify critical stepping-stones
- DOI
- 10.1016/j.jenvman.2026.130142
- Published
- 2026-06
- Container
- Journal of Environmental Management
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.jenvman.2026.130142,
title = {Optimizing urban avian conservation through multi-scenario network simulation in high-density cities: Integrating public preferences to identify critical stepping-stones},
author = {Chi Zhang and Shuyi Yan and Sicheng Qiu and Bingyi Wang and Jiarui Liu and Xi Zheng},
year = {2026},
journal = {Journal of Environmental Management},
doi = {10.1016/j.jenvman.2026.130142},
url = {https://doi.org/10.1016/j.jenvman.2026.130142}
}RIS
TY - JOUR TI - Optimizing urban avian conservation through multi-scenario network simulation in high-density cities: Integrating public preferences to identify critical stepping-stones AU - Chi Zhang AU - Shuyi Yan AU - Sicheng Qiu AU - Bingyi Wang AU - Jiarui Liu AU - Xi Zheng PY - 2026 JO - Journal of Environmental Management DO - 10.1016/j.jenvman.2026.130142 UR - https://doi.org/10.1016/j.jenvman.2026.130142 ER -
APA
Zhang, C., Yan, S., Qiu, S., Wang, B., Liu, J., & Zheng, X. (2026). Optimizing urban avian conservation through multi-scenario network simulation in high-density cities: Integrating public preferences to identify critical stepping-stones. Journal of Environmental Management. https://doi.org/10.1016/j.jenvman.2026.130142
Source records
- crossref · retrieved 2026-09-25T20:01:54.814Z