期刊
BASIC AND APPLIED ECOLOGY
卷 35, 期 -, 页码 45-53出版社
ELSEVIER GMBH
DOI: 10.1016/j.baae.2019.01.001
关键词
Alpha diversity; Aquatic diversity; Climate heterogeneity; Amazon; Tropical diversity
类别
资金
- CNPq [481015/2011-6, 303252/2013-8, 449315/2014-2]
- Para. State Foundation for Amazonian Research (FAPESPA project ICAAF) [03/2011]
- U.S. National Science Foundation [MSM-0949996, DEB-1457602]
- CAPES
- CNN [140111/2015-8]
- postdoctoral scholarship PNPD (PPG Zoologia, UFPA/MPEG)
- CNN productivity grants [307597/2016-4]
- PELD/CNPq [23038.000452/201716]
Several hypotheses have been proposed to explain the mechanisms that generate temporal and spatial species richness patterns. We tested four common hypotheses (water, energy, climatic heterogeneity and net primary productivity) to evaluate which factors best explain patterns of Zygoptera species richness. Of these, we predicted that climatic heterogeneity would be the most important predictor for Zygoptera richness patterns. We sampled communities of adult Zygoptera in 100 small Amazonian streams. Based on generalized linear mixed models (GLMM), we found that net primary productivity and climatic heterogeneity comprised the best model of Zygoptera species richness in Amazonian streams, with an pseudo r(2) of 39.5%. Results indicate that species richness increases by one species per 1 kg of biomass per square meter in NIT, or with an increase of 2 degrees C in air temperature variability, Our work corroborates a recent study with other taxa in Brazilian Bioms, This suggests that temporal variation in climate and net primary productivity are important predictors of the macroecological patterns of richness for aquatic organisms in tropical regions. (C) 2018 Gesellschaft fur Okologie. Published by Elsevier GmbH. All rights reserved.
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