A novel statistical workflow using pollen records and regression kriging to reconstruct the spatially and temporally explicit demographic history of tree species
- DOI
- 10.1016/j.ecoinf.2025.103561
- Published
- 02
- Container
- Ecological Informatics
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1016/j.ecoinf.2025.103561,
title = {A novel statistical workflow using pollen records and regression kriging to reconstruct the spatially and temporally explicit demographic history of tree species},
author = {Azzurra Pistone and Denis Allard and Christoph Schwörer and César Morales-Molino and Willy Tinner and Katalin Csilléry},
year = {2026},
journal = {Ecological Informatics},
doi = {10.1016/j.ecoinf.2025.103561},
url = {https://doi.org/10.1016/j.ecoinf.2025.103561}
}RIS
TY - JOUR TI - A novel statistical workflow using pollen records and regression kriging to reconstruct the spatially and temporally explicit demographic history of tree species AU - Azzurra Pistone AU - Denis Allard AU - Christoph Schwörer AU - César Morales-Molino AU - Willy Tinner AU - Katalin Csilléry PY - 2026 JO - Ecological Informatics DO - 10.1016/j.ecoinf.2025.103561 UR - https://doi.org/10.1016/j.ecoinf.2025.103561 ER -
APA
Pistone, A., Allard, D., Schwörer, C., Morales-Molino, C., Tinner, W., & Csilléry, K. (2026). A novel statistical workflow using pollen records and regression kriging to reconstruct the spatially and temporally explicit demographic history of tree species. Ecological Informatics. https://doi.org/10.1016/j.ecoinf.2025.103561