Comparison between remote sensing and a dynamic vegetation model for estimating terrestrial primary production of Africa
(2015) In Carbon Balance and Management 10.- Abstract
- 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.
- Abstract (Swedish)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/5366062
- author
- Ardö, Jonas
LU
- organization
- publishing date
- 2015
- 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
- article number
- 8
- publisher
- BioMed Central (BMC)
- external identifiers
-
- pmid:25960765
- scopus:84928014727
- pmid:25960765
- ISSN
- 1750-0680
- DOI
- 10.1186/s13021-015-0018-5
- language
- English
- LU publication?
- yes
- additional info
- Published online: 31 March 2015
- id
- cbe804b7-876c-4797-895c-8a7e20441ab1 (old id 5366062)
- date added to LUP
- 2016-04-01 15:02:39
- date last changed
- 2023-02-03 12:46:23
@article{cbe804b7-876c-4797-895c-8a7e20441ab1, abstract = {{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.}}, author = {{Ardö, Jonas}}, issn = {{1750-0680}}, keywords = {{Africa; carbon cycle; GPP; LPJ-GUESS; MOD17; NPP; resource assessment}}, language = {{eng}}, publisher = {{BioMed Central (BMC)}}, 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}}, doi = {{10.1186/s13021-015-0018-5}}, volume = {{10}}, year = {{2015}}, }