Publications des scientifiques de l'IRD

Pos E., Andino J. E. G., Sabatier Daniel, Molino Jean-François, Pitman N., Mogollon H., Neill D., Ceron C., Rivas-Torres G., Di Fiore A., Thomas R., Tirado M., Young K. R., Wang O., Sierra R., Garcia-Villacorta R., Zagt R., Cuenca W. P., Aulestia M., ter Steege H. (2017). Estimating and interpreting migration of Amazonian forests using spatially implicit and semi-explicit neutral models. Ecology and Evolution, 7 (12), p. 4254-4265. ISSN 2045-7758.

Titre du document
Estimating and interpreting migration of Amazonian forests using spatially implicit and semi-explicit neutral models
Année de publication
2017
Type de document
Article référencé dans le Web of Science WOS:000403884700018
Auteurs
Pos E., Andino J. E. G., Sabatier Daniel, Molino Jean-François, Pitman N., Mogollon H., Neill D., Ceron C., Rivas-Torres G., Di Fiore A., Thomas R., Tirado M., Young K. R., Wang O., Sierra R., Garcia-Villacorta R., Zagt R., Cuenca W. P., Aulestia M., ter Steege H.
Source
Ecology and Evolution, 2017, 7 (12), p. 4254-4265 ISSN 2045-7758
With many sophisticated methods available for estimating migration, ecologists face the difficult decision of choosing for their specific line of work. Here we test and compare several methods, performing sanity and robustness tests, applying to large-scale data and discussing the results and interpretation. Five methods were selected to compare for their ability to estimate migration from spatially implicit and semi-explicit simulations based on three large-scale field datasets from South America (Guyana, Suriname, French Guiana and Ecuador). Space was incorporated semi-explicitly by a discrete probability mass function for local recruitment, migration from adjacent plots or from a metacommunity. Most methods were able to accurately estimate migration from spatially implicit simulations. For spatially semi-explicit simulations, estimation was shown to be the additive effect of migration from adjacent plots and the metacommunity. It was only accurate when migration from the metacommunity outweighed that of adjacent plots, discrimination, however, proved to be impossible. We show that migration should be considered more an approximation of the resemblance between communities and the summed regional species pool. Application of migration estimates to simulate field datasets did show reasonably good fits and indicated consistent differences between sets in comparison with earlier studies. We conclude that estimates of migration using these methods are more an approximation of the homogenization among local communities over time rather than a direct measurement of migration and hence have a direct relationship with beta diversity. As betadiversity is the result of many (non)-neutral processes, we have to admit that migration as estimated in a spatial explicit world encompasses not only direct migration but is an ecological aggregate of these processes. The parameter m of neutral models then appears more as an emerging property revealed by neutral theory instead of being an effective mechanistic parameter and spatially implicit models should be rejected as an approximation of forest dynamics.
Plan de classement
Sciences fondamentales / Techniques d'analyse et de recherche [020] ; Sciences du monde végétal [076] ; Etudes, transformation, conservation du milieu naturel [082]
Description Géographique
AMAZONIE
Localisation
Fonds IRD [F B010070235]
Identifiant IRD
fdi:010070235
Contact