Predicting the impacts of climate change on the geographic distribution of moso bamboo in China based on biomod2 model-Reference-Cited by-同舟云学术

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Predicting the impacts of climate change on the geographic distribution of moso bamboo in China based on biomod2 model

Published:2024-06-22 Issue: Volume: Page:
ISSN:1612-4669
Container-title:European Journal of Forest Research
language:en
Short-container-title:Eur J Forest Res

Author:

Gu Rui,Wei Songpo,Li Jiarui,Zheng Shihui,Li Zhiteng,Liu Guanglu,Fan Shaohui

Funder

National Key R&D Program of China of the 14th Five-Year Plan

Fundamental Research Funds for International Centre for Bamboo and Rattan

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s10342-024-01706-9.pdf

Reference50 articles.

1. Ahuja MR, Jain SM (2015) Genetic diversity and Erosion in plants: Case histories. 8. https://doi.org/10.1007/978-3-319-25954-3

2. Aiello-Lammens ME, Boria RA, Radosavljevic A, Vilela B, Anderson RP (2015) spThin: an R package for spatial thinning of species occurrence records for use in ecological niche models. Ecography 38:541–545. https://doi.org/10.1111/ecog.01132

3. Anderson RP (2013) A framework for using niche models to estimate impacts of climate change on species distributions. Ann N Y Acad Sci 1297:8–28. https://doi.org/10.1111/nyas.12264

4. Araújo MB, New M (2007) Ensemble forecasting of species distributions. Trends Ecol Evol 22:42–47. https://doi.org/10.1016/j.tree.2006.09.010

5. Basile M, Valerio F, Balestrieri R, Posillico M, Bucci R, Altea T, Matteucci G (2016) Patchiness of forest landscape can predict species distribution better than abundance: the case of a forest-dwelling passerine, the short-toed treecreeper, in central Italy. PeerJ 4:e2398. https://doi.org/10.7717/peerj.2398

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