This folder hosts data produced at the Lamto Tropical Ecology Station (founded by the Ecole Normale Supérieure, Paris, France, and now managed by the Université Nangui Abrogoua, Abidjan, Côte d'Ivoire) since dec. 1961 during the scientific programs* that were centred on this savanna ecosystem. It aims at becoming a central repository for the data produced at Lamto, whoever produced them, whatever their affiliation was and whatever the funding source was. It has been setup thanks to and during the existence of the International Mixed Laboratory 'Ecology and sustainable development - Biodiversity, agro-ecology and urban ecology (LMI ED-BIODIV)', funded by the French Research Institute for Development (IRD).

Ce dépôt contient des données produites à la station d'écologie tropicale de Lamto (fondée par l'Ecole Normale Supérieure, Paris, France, et aujourd'hui gérée par l'Université Nangui Abrogoua, Abidjan, Côte d'Ivoire) depuis déc. 1961 au cours des programmes scientifiques* centrés sur cet écosystème de savane. Il a pour but de constituer un dépôt central de référence pour les données produites à Lamto, quelque soit les personnes qui les ont produites, leur affiliation et la source de financement correspondante. Il a pu être mis en place grâce au Laboratoire Mixte International "écologie et développement durable - Biodiversité, agro-écologie et écologie urbaine" (LMI EDD-BIODIV), financé par l'Institut de Recherche pour le Développement (IRD)

* among (many) others: International Biology Program (IBP), Savannas in the Long Term (SALT), BIOdiversity monitoring Transect Analysis in Africa (BIOTA), Recherches Interdisciplinaires et Participatives sur les Interactions entre les Ecosystèmes, le Climat et les Sociétés en Afrique de l'ouest (RIPIECSA), Laboratoire international associé 'Cycle des nutriments en savanes tropicales : écologie et applications à la gestion raisonnée des agro-écosystèmes en Côte d'Ivoire' (LIA-NUTS)...

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NB-30-MOSAIC_legends.zip
Mar 30, 2022 - Lamto GIS layer (raster dataset): Mosaic of topographical maps at a scale of 1 : 50 000 covering the Lamto reserve (Côte d'Ivoire)
ZIP Archive - 25.3 MB - MD5: 0461fceb9f4e3db4a717d2efea1ee8fa
This zip archive holds the legends of the original paper maps.
NB-30-MOSAIC_SHIFT.png
NB-30-MOSAIC_SHIFT.png
Mar 30, 2022 - Lamto GIS layer (raster dataset): Mosaic of topographical maps at a scale of 1 : 50 000 covering the Lamto reserve (Côte d'Ivoire)
PNG Image - 1.9 MB - MD5: 063a5379428412c2ef1253c9ec3cffa3
Quicklook
NB-30-MOSAIC_SHIFT.tif
NB-30-MOSAIC_SHIFT.tif
Mar 30, 2022 - Lamto GIS layer (raster dataset): Mosaic of topographical maps at a scale of 1 : 50 000 covering the Lamto reserve (Côte d'Ivoire)
TIFF Image - 158.4 MB - MD5: 37a29877b0a8578f99e3b99a66c56d6c
GIS raster layer WGS84/UTM30N
Lamto GIS layer (vector dataset): collection of place names in Lamto reserve (Côte d'Ivoire) in 2022.
Lamto GIS layer (vector dataset): collection of place names in Lamto reserve (Côte d'Ivoire) in 2022.
Mar 30, 2022
Zaiss, R.; Gignoux, J.; Konaté, S.; Barot, S., 2022, "Lamto GIS layer (vector dataset): collection of place names in Lamto reserve (Côte d'Ivoire) in 2022.", https://doi.org/10.23708/X6APR7, DataSuds, V1
This dataset holds point locations of known place names of geographical areas, features and infrastructures in Lamto reserve (Côte d'Ivoire) in 2022. The point layer can be used to label geographical objects. The gazetteer classifies the toponymes in different types. A supplement...
p_lamto_gazeteer.png
p_lamto_gazeteer.png
Mar 30, 2022 - Lamto GIS layer (vector dataset): collection of place names in Lamto reserve (Côte d'Ivoire) in 2022.
PNG Image - 138.0 KB - MD5: aaa0667477b1a0a6c2bda94f848f3827
Quicklook
p_lamto_gazeteer.zip
Mar 30, 2022 - Lamto GIS layer (vector dataset): collection of place names in Lamto reserve (Côte d'Ivoire) in 2022.
Shapefile as ZIP Archive - 3.4 KB - MD5: 66c1462dfef2c9158bec3847339964f3
GIS shapefile WGS84/UTM30N
Mortality of the Lamto (Ivory Coast) humid savanna perennial grass species between 2015 to 2016 according to the circumference of individuals and different fire regimes
Mar 14, 2022
Koffi, K.F.; N’Dri, A.B.; Lata, J-C.; Konaté, S.; Srikanthasamy, T.; Konaré, S.; Konan, M.; Barot, S., 2022, "Mortality of the Lamto (Ivory Coast) humid savanna perennial grass species between 2015 to 2016 according to the circumference of individuals and different fire regimes", https://doi.org/10.23708/SDFM1Q, DataSuds, V1
These data represent the mortality of tussocks of perennial grass submitted since 2013 to four fire treatments: no fire, early fire (November fire), mid-season fire (January fire) and fire late (March fire). They were collected in 2016, on individuals previously marked in 2015, o...
Data_Mortality.ods
Mar 14, 2022 - Mortality of the Lamto (Ivory Coast) humid savanna perennial grass species between 2015 to 2016 according to the circumference of individuals and different fire regimes
OpenOffice Spreadsheet - 38.8 KB - MD5: cc18d1e791ce3a2ffc56523e8d0a49ae
dataset
Growth and biomass allocation of West African savanna and forest tree seedlings in response to fire and shading. A dataset of a field experiment conducted at Lamto, Côte d'Ivoire, 2001-2002.
May 27, 2020
Gignoux, J.; Le Roux, X.; Lahoreau, G.; Konaté, S.; Simioni, G., 2020, "Growth and biomass allocation of West African savanna and forest tree seedlings in response to fire and shading. A dataset of a field experiment conducted at Lamto, Côte d'Ivoire, 2001-2002.", https://doi.org/10.23708/OIISFV, DataSuds, V1
This dataset contains all the measurements on which the Gignoux et al. (2016) associated artilce is based. It describes the results of a 15-months growth experiment testing the response of 2 species of savanna tree seedlings and 2 species of forest tree species, all growing in th...
feu-ombrage.ods
May 27, 2020 - Growth and biomass allocation of West African savanna and forest tree seedlings in response to fire and shading. A dataset of a field experiment conducted at Lamto, Côte d'Ivoire, 2001-2002.
OpenOffice Spreadsheet - 110.6 KB - MD5: c83fe10ae8ef777f493e5c3d159a3c9d
Experimental data, including metadata of variables (measurement units etc.)
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