The roles of environmental conditions and spatial factors in controlling stream macroalgal communities

Branco, Ciro César Zanini; Bispo, Pitágoras da Conceição; Peres, Cleto Kaveski; Tonetto, Aurélio Fajar; Branco, Luis Henrique Zanini

doi:10.1007/s10750-014-1852-2

Cited by 15 publications

(19 citation statements)

References 43 publications

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“…In this study the 'Chantransia' stage was common in partially shaded streams, less temperate and mesotrophic conditions, even when these conditions are not typical for species of Rhodophyta (Wehr & Sheath 2003, Bojorge-García et al 2010. Our results corroborate previous studies (Branco et al 2009, Drakare & Liess 2010, Branco et al 2014 and also indicate that the community structure of organisms with low dispersal abilities is strongly influenced by spatial variables (e.g., current intensity).…”

Section: Discussionsupporting

confidence: 90%

“…In this respect, our results suggest that the specimens studied tend to distribute patterns similar to the algae metacommunities of Branco et al (2014). In this regard, our results suggest that the specimens studied tend to exhibit dispersal patterns similar to those described previously for algae metacommunities e.g., Branco et al (2014).…”

Section: Discussionsupporting

confidence: 87%

“…In this regard, our results suggest that the specimens studied tend to exhibit dispersal patterns similar to those described previously for algae metacommunities e.g., Branco et al (2014). Thus, we observed that the Cyanobacteria and Chlorophyta species with higher dispersal abilities (i.e., spores and resistant vegetative fragments, which facilitate dispersion and desiccation tolerance) are affected by local environmental variables (e.g., photosynthetically active radiation and substrate), whereas Rhodophyta, which have low dispersal abilities, are apparently influenced by spatial variables (e.g., temperature and current velocity).…”

Section: Discussionsupporting

confidence: 86%

“…However, studies are still needed to explain in detail the ecological and physiological processes that affect the development of some species, mainly those among Chlorophyta and Rhodophyta. Such studies may support theories about the presence and distribution of macroscopic algae communities, e.g., Metacommunity theory (Brown et al 2011, Branco et al 2014.…”

Section: Discussionmentioning

confidence: 73%

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Ecology and distribution of macroscopic algae communities in streams from the Basin of Mexico

Rodríguez-Flores¹,

Carmona-Jiménez²

2018

Bot. Sci.

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Background: Several studies of lotic ecosystems have provided important ecological information on the influence of environmental heterogeneity on macroscopic algae composition. Hypothesis:The highest species diversity will occur during the cold-dry season, correlated to low temperature and oligothrophic water, while the distribution of each species will be related to heterogeneity of habitat and its dispersal strategies.Studied species: Twenty-two species of macroscopic algae of different Phyla (Chlorophyta, Cyanobacteria, Heterokontophyta and Rhodophyta). Study site:The macroscopic algae composition was described for 35 permanent mountain streams in the Basin of Mexico from 2012 to 2015.Methods: Algae species, physico-chemical water conditions and microhabitat factors were recorded in situ at each contrasting season. The relationship between diversity and the environmental factors was statistically evaluated by Canonical Correspondence Analysis and a Spearman test. Results:Macroscopic algae recorded had biological features and environmental abilities that separated them into two groups. The first included the most frequent and abundant species: Nostoc parmelioides, Placoma regularis, Prasiola mexicana and Vaucheria bursata. The second included species restricted to certain habitats: Draparnaldia mutabilis, Tetraspora gelatinosa, Batrachospermum gelatinosum and Paralemanea mexicana. Each Phyla responds differentially to the spatial heterogeneity of the streams, but the species does not change between contrasting seasons. Conclusions:Local and spatial environmental variables explain differences in richness and distribution of species on the studied area; however, species composition does not vary widely among sampling sites. Cyanobacteria and Chlorophyta are more affected by local environmental variables, whereas Rhodophyta is more influenced by spatial variables.Keywords: Aquatic communities, Basin of Mexico, macroscopic algae, mountain streams. ResumenAntecedentes: Diversos estudios de ecosistemas lóticos han aportado información ecológica importante sobre la influencia de la heterogeneidad ambiental en la composición de algas macroscópicas.Hipótesis: La mayor diversidad se presentará durante la estación fría y estará relacionada con la baja temperatura y las condiciones oligotróficas del agua; mientras que la distribución de cada especie estará relacionada con la heterogeneidad del hábitat y las diversas estrategias de dispersión.Especie en estudio: Veintidós especies de algas macroscópicas de diferentes Phyla (Chlorophyta, Cyanobacteria, Heterokontophyta y Rhodophyta). Sitio de estudio:Fue estudiada la composición de algas macroscópicas en 35 ríos de montaña de la cuenca de México, entre 2012 y 2015.Métodos: Las especies, las variables fisicoquímicas del agua y microambientales fueron registradas in situ durante las estaciones más contrastantes. La relación entre la diversidad y los factores ambientales fueron evaluados estadística-mente a través de un Análisis de Correspondencia Canónica y una prueba...

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Section: Discussionsupporting

confidence: 90%

Section: Discussionsupporting

confidence: 87%

Section: Discussionsupporting

confidence: 86%

Section: Discussionmentioning

confidence: 73%

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Ecology and distribution of macroscopic algae communities in streams from the Basin of Mexico

Rodríguez-Flores¹,

Carmona-Jiménez²

2018

Bot. Sci.

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“…The community composition of Chlorophyta and Heterokontophyta was explained by variations in local environmental characteristics (e.g., temperature and discharge flow), with no significant effect related to spatial distance. In general, these macroalgae groups have strong dispersal mechanisms over long distances (Kristiansen, 1996;Branco et al, 2014). The relative contribution of macroinvertebrates families to ESs in the Magdalena-Eslava River sub-basin can be ascribed to the differences in the ecological features of each group.…”

Section: Biodiversity: Supporting Servicesmentioning

confidence: 99%

Hydrological evaluation of a peri-urban stream and its impact on ecosystem services potential

Angela

Carmona-Jiménez

González‐Martínez

et al. 2015

Global Ecology and Conservation

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Modeling the species richness and abundance of lotic macroalgae based on habitat characteristics by artificial neural networks: a potentially useful tool for stream biomonitoring programs

et al. 2017

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One of the major challenges in stream ecology is the development of computational models that can predict aspects of the community structure of organisms from these ecosystems when they are subject to natural or artificial environmental fluctuations. To contribute towards this aim, we conducted a study whose main goal was to evaluate the efficiency and accuracy of different architectures of multilayer artificial neural networks (ANNs) in predicting the species richness and abundance of macroalgae based on environmental variables of tropical streams. We used data from 82 streams located in southern Brazil, where species richness, macroalgal abundance, and environmental parameters were measured. A set of 20 environmental parameters measured directly in the stream was used as explanatory variables. The performance of the ANN architectures was assessed using two different pieces of software (random combinatorial and exhaustive) and the coefficient of determination (R 2) and mean-squared error (MSE). For both species richness and macroalgal abundance, the best ANN architectures were obtained using random combination software and the performance parameters showed a combination of high R 2 and very low MSE. Our results suggest that computational models that are constructed based on ANN frameworks can be efficient and accurate in predicting the species richness and abundance of stream macroalgae from environmental data. Therefore, considering that models based on linear relationships have often failed, we recommend the application of ANNs as a tool to estimate species richness and abundance of lotic macroalgae from environmental data, in the management, conservation, and biomonitoring programs of tropical stream ecosystems.

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The roles of environmental conditions and spatial factors in controlling stream macroalgal communities

Cited by 15 publications

References 43 publications

Ecology and distribution of macroscopic algae communities in streams from the Basin of Mexico

Ecology and distribution of macroscopic algae communities in streams from the Basin of Mexico

Hydrological evaluation of a peri-urban stream and its impact on ecosystem services potential

Modeling the species richness and abundance of lotic macroalgae based on habitat characteristics by artificial neural networks: a potentially useful tool for stream biomonitoring programs

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