Literature DB >> 18506265

A new world natural vegetation map for global change studies.

David M Lapola1, Marcos D Oyama, Carlos A Nobre, Gilvan Sampaio.   

Abstract

We developed a new world natural vegetation map at 1 degree horizontal resolution for use in global climate models. We used the Dorman and Sellers vegetation classification with inclusion of a new biome: tropical seasonal forest, which refers to both deciduous and semi-deciduous tropical forests. SSiB biogeophysical parameters values for this new biome type are presented. Under this new vegetation classification we obtained a consensus map between two global natural vegetation maps widely used in climate studies. We found that these two maps assign different biomes in ca. 1/3 of the continental grid points. To obtain a new global natural vegetation map, non-consensus areas were filled according to regional consensus based on more than 100 regional maps available on the internet. To minimize the risk of using poor quality information, the regional maps were obtained from reliable internet sources, and the filling procedure was based on the consensus among several regional maps obtained from independent sources. The new map was designed to reproduce accurately both the large-scale distribution of the main vegetation types (as it builds on two reliable global natural vegetation maps) and the regional details (as it is based on the consensus of regional maps).

Mesh:

Year:  2008        PMID: 18506265     DOI: 10.1590/s0001-37652008000200017

Source DB:  PubMed          Journal:  An Acad Bras Cienc        ISSN: 0001-3765            Impact factor:   1.753


  3 in total

1.  Land-use and climate change risks in the Amazon and the need of a novel sustainable development paradigm.

Authors:  Carlos A Nobre; Gilvan Sampaio; Laura S Borma; Juan Carlos Castilla-Rubio; José S Silva; Manoel Cardoso
Journal:  Proc Natl Acad Sci U S A       Date:  2016-09-16       Impact factor: 11.205

2.  Self-amplified Amazon forest loss due to vegetation-atmosphere feedbacks.

Authors:  Delphine Clara Zemp; Carl-Friedrich Schleussner; Henrique M J Barbosa; Marina Hirota; Vincent Montade; Gilvan Sampaio; Arie Staal; Lan Wang-Erlandsson; Anja Rammig
Journal:  Nat Commun       Date:  2017-03-13       Impact factor: 14.919

3.  Dynamic Disturbance Analysis of Grasslands Using Neural Networks and Spatiotemporal Indices Fusion on the Qinghai-Tibet Plateau.

Authors:  Fengli Zou; Qingwu Hu; Haidong Li; Jie Lin; Yichuan Liu; Fulin Sun
Journal:  Front Plant Sci       Date:  2022-01-17       Impact factor: 5.753

  3 in total

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