SwePub
Sök i SwePub databas

  Utökad sökning

Träfflista för sökning "WFRF:(Boke Olén N.) "

Sökning: WFRF:(Boke Olén N.)

  • Resultat 1-1 av 1
Sortera/gruppera träfflistan
   
NumreringReferensOmslagsbildHitta
1.
  • Abdi, A. M., et al. (författare)
  • First assessment of the plant phenology index (PPI) for estimating gross primary productivity in African semi-arid ecosystems
  • 2019
  • Ingår i: International Journal of Applied Earth Observation and Geoinformation. - : Elsevier BV. - 1569-8432. ; 78, s. 249-260
  • Tidskriftsartikel (refereegranskat)abstract
    • The importance of semi-arid ecosystems in the global carbon cycle as sinks for CO 2 emissions has recently been highlighted. Africa is a carbon sink and nearly half its area comprises arid and semi-arid ecosystems. However, there are uncertainties regarding CO 2 fluxes for semi-arid ecosystems in Africa, particularly savannas and dry tropical woodlands. In order to improve on existing remote-sensing based methods for estimating carbon uptake across semi-arid Africa we applied and tested the recently developed plant phenology index (PPI). We developed a PPI-based model estimating gross primary productivity (GPP) that accounts for canopy water stress, and compared it against three other Earth observation-based GPP models: the temperature and greenness (T-G) model, the greenness and radiation (GöR) model and a light use efficiency model (MOD17). The models were evaluated against in situ data from four semi-arid sites in Africa with varying tree canopy cover (3–65%). Evaluation results from the four GPP models showed reasonable agreement with in situ GPP measured from eddy covariance flux towers (EC GPP) based on coefficient of variation (R 2 ), root-mean-square error (RMSE), and Bayesian information criterion (BIC). The GöR model produced R 2 = 0.73, RMSE = 1.45 g C m −2 d −1 , and BIC = 678; the T-G model produced R 2 = 0.68, RMSE = 1.57 g C m −2 d −1 , and BIC = 707; the MOD17 model produced R 2 = 0.49, RMSE = 1.98 g C m −2 d −1 , and BIC = 800. The PPI-based GPP model was able to capture the magnitude of EC GPP better than the other tested models (R 2 = 0.77, RMSE = 1.32 g C m −2 d −1 , and BIC = 631). These results show that a PPI-based GPP model is a promising tool for the estimation of GPP in the semi-arid ecosystems of Africa.
  •  
Skapa referenser, mejla, bekava och länka
  • Resultat 1-1 av 1
Typ av publikation
tidskriftsartikel (1)
Typ av innehåll
refereegranskat (1)
Författare/redaktör
Abdi, A. M. (1)
Boke-Olén, N. (1)
Jin, H. (1)
Eklundh, L. (1)
Tagesson, T. (1)
Lehsten, V. (1)
visa fler...
Ardö, J. (1)
visa färre...
Lärosäte
Lunds universitet (1)
Språk
Engelska (1)
Forskningsämne (UKÄ/SCB)
Naturvetenskap (1)
Teknik (1)
År

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

 
pil uppåt Stäng

Kopiera och spara länken för att återkomma till aktuell vy