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Discussion papers
https://doi.org/10.5194/essd-2018-113
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-2018-113
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Peer-reviewed comment 10 Dec 2018

Peer-reviewed comment | 10 Dec 2018

Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Earth System Science Data (ESSD).

A leaf area index, LAI, data set acquired in Sahelian rangelands (Gourma, Mali) over the 2005–2017 period

Eric Mougin1, Mamadou Oumar Diawara2, Nogmana Soumaguel3, Ali Amadou Maiga3, Valerie Demarez4, Pierre Hiernaux5, Manuela Grippa1, Veronique Chaffard6, and Abdramane Ba7 Eric Mougin et al.
  • 1Géosciences Environnement Toulouse (GET), (UMR 55 63 , CNRS, IRD, Université Paul Sabatier), Observatoire Midi-Pyrénées, 14 Avenue Edouard Belin, 31400 Toulouse, France
  • 2Département de Biologie, Faculté des Sciences et Techniques (FST), Université des Sciences, des Techniques et des Technologies de Bamako (USTTB), Colline de Badalabougou, B.P.3206 Bamako
  • 3Centre IRD, Quartier Hippodrome, BP 2528, Bamako
  • 4Centre d'Études Spatiales de la Biosphère (UMR 5126, CNES CNRS IRD Université P. Sabatier Toulouse III), 18 avenue Edouard. Belin, 31401 Toulouse cedex 4, France
  • 5Pastoc, 30 chemin de Jouanal, 82160 Caylus, France
  • 6Institut des Géosciences de l’Environnement (UMR 5001, CNRS IRD Université Grenoble Alpes (UGA) et Grenoble-INP 38058 Grenoble, France
  • 7Laboratoire d’Optique, de Spectroscopie et des Sciences Atmosphériques (LOSSA), Département de Physique, Faculté des Sciences et Techniques (FST), Université des Sciences des Techniques et des Technologies de Bamako (USTTB), BP E3206, Badalabougou, Bamak

Abstract. The leaf area index, LAI, of Sahelian rangelands and related variables such as the vegetation cover fraction, fCover, the fraction of absorbed photosynthetically active radiation, fAPAR, and the clumping index, λo, were measured in the Gourma region (Mali) during 13 successive rainy seasons, between 2005 and 2017. These variables, known as climate essential variables, were derived from the acquisition and the processing of hemispherical photographs taken along 1km linear sampling transects, for 5 contrasted canopies and one millet field. The same sampling protocol was applied in a seasonally inundated Acacia open forest, along a 0.5km transect, by taking photographs of the understorey and the tree canopy. These observations collected over more than a decade, in a remote and not very accessible region, provide a relevant and unique data set that can be used for a better understanding of the Sahelian vegetation response to the current rainfall changes. The collected data can also be used for satellite product evaluation and land surface model development and validation.

Eric Mougin et al.
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