Asset Details
- Identifier:
- jbi12225-fig-0001
- Description:
- Examples of study species. (a) Pinus jeffreyi, Baja California, (b) P. culminicola, Coahuila, (c) P. californiarum, California, (d) P. quadrifolia, Baja California, and (e) P. hartwegii, State of Mexico.
- License:
- Rights Managed
- Rights Holder:
- John Wiley & Sons, Inc.
- License Rights Holder:
- Copyright © 2014 John Wiley & Sons Ltd
- Asset Type:
- Image
- Asset Subtype:
- Figure
- Image Orientation:
- Landscape
- Image Dimensions:
- 1028 x 936
- Image File Size:
- 2.38 MB
- Creator:
- Anna F. Cord, Doris Klein, David S. Gernandt, Jorge A. Pérez la Rosa, Stefan Dech, Melodie McGeoch
- Credit:
- Cord, A. F., Klein, D., Gernandt, D. S., la Rosa, J. A. P., Dech, S., & McGeoch, M. (2014). Remote sensing data can improve predictions of species richness by stacked species distribution models: a case study for Mexican pines. Journal of Biogeography, 41(4), 736-748..
- Collection:
- Keywords:
- Restrictions:
- Property Release:
- No
- Model Release:
- No
- Purchasable:
- Yes
- Sensitive Materials:
- No
- Article Title:
- Remote sensing data can improve predictions of species richness by stacked species distribution models: a case study for Mexican pines
- Article Authors:
- Anna F. Cord, Doris Klein, David S. Gernandt, Jorge A. Pérez la Rosa, Stefan Dech, Melodie McGeoch
- Article Copyright Year:
- 2014
- Publication Title:
- Journal of Biogeography
- Publication Volume:
- 41
- Publication Issue:
- 4
- Publication Date:
- 04/01/2014
- DOI:
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