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Comparison between remote sensing and a dynamic vegetation model for estimating terrestrial primary production of Africa

Ardö, Jonas LU (2015) In Carbon Balance and Management 10.
Abstract (Swedish)
Abstract in Undetermined

Africa is an important part of the global carbon cycle. It is also a continent facing potential problems due to increasing resource demand in combination with climate change-induced changes in resource supply. Quantifying the pools and fluxes constituting the terrestrial African carbon cycle is a challenge, because of uncertainties in meteorological driver data, lack of validation data, and potentially uncertain representation of important processes in major ecosystems. In this paper, terrestrial primary production estimates derived from remote sensing and a dynamic vegetation model are compared and quantified for major African land cover types.
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Africa, carbon cycle, GPP, LPJ-GUESS, MOD17, NPP, resource assessment
in
Carbon Balance and Management
volume
10
publisher
BioMed Central
external identifiers
  • pmid:25960765
  • scopus:84928014727
ISSN
1750-0680
DOI
10.1186/s13021-015-0018-5
language
English
LU publication?
yes
id
cbe804b7-876c-4797-895c-8a7e20441ab1 (old id 5366062)
date added to LUP
2015-05-06 11:09:56
date last changed
2017-07-02 04:13:42
@article{cbe804b7-876c-4797-895c-8a7e20441ab1,
  abstract     = {<b>Abstract in Undetermined</b><br/><br>
Africa is an important part of the global carbon cycle. It is also a continent facing potential problems due to increasing resource demand in combination with climate change-induced changes in resource supply. Quantifying the pools and fluxes constituting the terrestrial African carbon cycle is a challenge, because of uncertainties in meteorological driver data, lack of validation data, and potentially uncertain representation of important processes in major ecosystems. In this paper, terrestrial primary production estimates derived from remote sensing and a dynamic vegetation model are compared and quantified for major African land cover types.},
  articleno    = {8},
  author       = {Ardö, Jonas},
  issn         = {1750-0680},
  keyword      = {Africa,carbon cycle,GPP,LPJ-GUESS,MOD17,NPP,resource assessment},
  language     = {eng},
  publisher    = {BioMed Central},
  series       = {Carbon Balance and Management},
  title        = {Comparison between remote sensing and a dynamic vegetation model for estimating terrestrial primary production of Africa},
  url          = {http://dx.doi.org/10.1186/s13021-015-0018-5},
  volume       = {10},
  year         = {2015},
}