Baseline and predicted future climate niches of Coastal Redwood (Sequoia sempervirens) based on three general circulation models and two emission scenarios

May 23, 2012 (Last modified Jun 13, 2015)
Uploaded by Patric Brandt
Dataset was used in other reviewed publication
Description:
This package contains 13 polygon layers representing baseline and predicted future climate niches (2050s & 2080s) of Coastal Redwood (Sequoia sempervirens). The modeling algorithm Maxent and the Worldclim predictor set have been used to compute niche projections under two emission scenarios (A1B & A2A) based on three general circulation models (CSIRO, CCCMA & HADCM3). The shapefiles are derived from gridded model outputs with a grid cell resolution of 30 arc-seconds.
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Geos Institute, Leuphana University Lueneburg
Content date:
not specified
Citation:
DellaSala, D. A.; Brandt, P.; Koopmann, M.; Leonard, J.; Meisch, C.; Herzog, P.; Alaback, P.; Goldstein, I.; Jovan, S.; Mackinnon, A.; von Wehrden, H. (2015): Climate change may trigger broad shifts in North America’s Pacific coastal rainforests. Reference Module in Earth Systems and Environmental Sciences, DOI:10.1016/B978-0-12-409548-9.09367-2.
Contact Organization:
Geos Institute, Leuphana University Lueneburg
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not specified
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Creative Commons LicenseThis work is licensed under a Creative Commons Attribution-NonCommercial 3.0 License.
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About the Uploader

Patric Brandt
Sustainability Scientist with Center for International Forestry Research (CIFOR)

Currently: Developing targeting & planning approaches for climate-smart landscapes by linking agriculture and forests in Kenya. In the past I was involved in collaborations focusing on ecosystem services & biodiversity of the Pacific coastal rainforest ecosystem in North America. Main topics...