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Modeling the Ecological Responses of Tree Species to the Flood Pulse of the Amazon Negro River Floodplains

Householder, J. E. 1,2; Schöngart, J.; Piedade, M. T. F.; Junk, W. J.; Steege, H. ter; Montero, J. C.; Assis, R. L. de; Aguiar, D. P. P. de; Pombo, M. M.; Quaresma, A. C.; Demarchi, L. O.; Parolin, P.; Lopes, A.; Feitoza, G. V.; Durgante, F. M.; Albuquerque, B. W.; Chu, A. 2,3; Enßlin, D. 2,3; Fabian, T. 2,3; ... mehr


The large flood pulse of the Amazon basin is a principal driver of environmental heterogeneity with important implications for ecosystem function and the assembly of natural communities. Understanding species ecological response to the flood pulse is thus a key question with implications for theories of species coexistence, resource management, and conservation. Yet these remain largely undescribed for most species, and in particular for trees. The large flood pulse and high tree diversity of the Negro River floodplain makes it an ideal system to begin filling this knowledge gap. We merged historical hydrologic data with 41 forest inventories under variable flooding conditions distributed across the Negro River basin, comprising a total area of 34 ha, to (i) assess the importance of flood duration as a driver of compositional variation, (ii) model the response curve shapes of 111 of the most frequent tree species in function of flood duration, and (iii) derive their niche properties (optima and tolerance). We found that flood duration is a strong driver of compositional turnover, although the majority site-to-site variation in forest composition still remains unexplained. ... mehr

Verlagsausgabe §
DOI: 10.5445/IR/1000131884
Veröffentlicht am 27.04.2021
DOI: 10.3389/fevo.2021.628606
Zitationen: 12
Zitationen: 14
Cover der Publikation
Zugehörige Institution(en) am KIT Karlsruher Institut für Technologie (KIT)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2021
Sprache Englisch
Identifikator ISSN: 2296-701X
KITopen-ID: 1000131884
Erschienen in Frontiers in Ecology and Evolution
Verlag Frontiers Media SA
Band 9
Seiten Art.-Nr.: 628606
Nachgewiesen in Dimensions
Web of Science
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