First assessment of the plant phenology index (PPI) for estimating gross primary productivity in African semi-arid ecosystems

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Abdi, A. M.Lund University,Lunds universitet,BECC: Biodiversity and Ecosystem services in a Changing Climate,Centrum för miljö- och klimatvetenskap (CEC),Naturvetenskapliga fakulteten,Institutionen för naturgeografi och ekosystemvetenskap,Centre for Environmental and Climate Science (CEC),Faculty of Science,Dept of Physical Geography and Ecosystem Science (author)

First assessment of the plant phenology index (PPI) for estimating gross primary productivity in African semi-arid ecosystems

Article/chapterEnglish2019

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Elsevier BV,2019
12 s.

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LIBRIS-ID:oai:lup.lub.lu.se:29b684b8-7638-4bb6-b4c2-9bfc81300c40
https://lup.lub.lu.se/record/29b684b8-7638-4bb6-b4c2-9bfc81300c40URI
https://doi.org/10.1016/j.jag.2019.01.018DOI

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Language:English
Summary in:English

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Subject category:art swepub-publicationtype
Subject category:ref swepub-contenttype

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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.

Subject headings and genre

NATURVETENSKAP Geovetenskap och miljövetenskap Naturgeografi hsv//swe
NATURAL SCIENCES Earth and Related Environmental Sciences Physical Geography hsv//eng
NATURVETENSKAP Geovetenskap och miljövetenskap Miljövetenskap hsv//swe
NATURAL SCIENCES Earth and Related Environmental Sciences Environmental Sciences hsv//eng
TEKNIK OCH TEKNOLOGIER Naturresursteknik Fjärranalysteknik hsv//swe
ENGINEERING AND TECHNOLOGY Environmental Engineering Remote Sensing hsv//eng
Drylands
Eddy covariance
Remote sensing
Earth observation
Gross primary productivity
Land surface temperature
Africa
Plant phenology index

Added entries (persons, corporate bodies, meetings, titles ...)

Boke-Olén, N.Lund University,Lunds universitet,BECC: Biodiversity and Ecosystem services in a Changing Climate,Centrum för miljö- och klimatvetenskap (CEC),Naturvetenskapliga fakulteten,Centre for Environmental and Climate Science (CEC),Faculty of Science(Swepub:lu)nate-non (author)
Jin, H.Lund University,Lunds universitet,BECC: Biodiversity and Ecosystem services in a Changing Climate,Centrum för miljö- och klimatvetenskap (CEC),Naturvetenskapliga fakulteten,Institutionen för naturgeografi och ekosystemvetenskap,Centre for Environmental and Climate Science (CEC),Faculty of Science,Dept of Physical Geography and Ecosystem Science(Swepub:lu)nate-hnj (author)
Eklundh, L.Lund University,Lunds universitet,BECC: Biodiversity and Ecosystem services in a Changing Climate,Centrum för miljö- och klimatvetenskap (CEC),Naturvetenskapliga fakulteten,MERGE: ModElling the Regional and Global Earth system,Institutionen för naturgeografi och ekosystemvetenskap,Centre for Environmental and Climate Science (CEC),Faculty of Science,Dept of Physical Geography and Ecosystem Science(Swepub:lu)natg-lek (author)
Tagesson, T.Lund University,Lunds universitet,BECC: Biodiversity and Ecosystem services in a Changing Climate,Centrum för miljö- och klimatvetenskap (CEC),Naturvetenskapliga fakulteten,Institutionen för naturgeografi och ekosystemvetenskap,Centre for Environmental and Climate Science (CEC),Faculty of Science,Dept of Physical Geography and Ecosystem Science(Swepub:lu)to5874ta (author)
Lehsten, V.Lund University,Lunds universitet,BECC: Biodiversity and Ecosystem services in a Changing Climate,Centrum för miljö- och klimatvetenskap (CEC),Naturvetenskapliga fakulteten,MERGE: ModElling the Regional and Global Earth system,Institutionen för naturgeografi och ekosystemvetenskap,Centre for Environmental and Climate Science (CEC),Faculty of Science,Dept of Physical Geography and Ecosystem Science,Swiss Federal Institute for Forest, Snow and Landscape Research(Swepub:lu)nate-vel (author)
Ardö, J.Lund University,Lunds universitet,BECC: Biodiversity and Ecosystem services in a Changing Climate,Centrum för miljö- och klimatvetenskap (CEC),Naturvetenskapliga fakulteten,Institutionen för naturgeografi och ekosystemvetenskap,Centre for Environmental and Climate Science (CEC),Faculty of Science,Dept of Physical Geography and Ecosystem Science(Swepub:lu)natg-jar (author)
BECC: Biodiversity and Ecosystem services in a Changing ClimateCentrum för miljö- och klimatvetenskap (CEC) (creator_code:org_t)

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In:International Journal of Applied Earth Observation and Geoinformation: Elsevier BV78, s. 249-2601569-8432

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NATURAL SCIENCES: NATURAL SCIENCES; and Earth and Relate ...; and Physical Geograp ...

NATURAL SCIENCES: NATURAL SCIENCES; and Earth and Relate ...; and Environmental Sc ...

ENGINEERING AND TECHNOLOGY: ENGINEERING AND ...; and Environmental En ...; and Remote Sensing

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