Factors affecting the transferability of bioindicators based on stream fish assemblages.

The development of multimetric indices (MMIs) to measure the biotic condition of aquatic habitats is based on metrics derived from biological assemblages. Considering fish assemblages, the inconsistencies in metrics responses outside of the places where they were developed limit MMI transferability and applicability to other locations, requiring local calibration. The factors behind the low transferability of these MMIs are still poorly understood. We investigated how environmental dissimilarity and spatial distance influence the transferability of metrics generated from local stream fish assemblages to other regions. We also tested whether functional and taxonomic metrics respond differently to the spatial distance. We used data from 239 fish assemblages from streams distributed across a Brazilian, the upper Parana basin and characterized each site according to the level of anthropogenic disturbance at the landscape scale using an Anthropogenic Pressure Index (API). We divided the upper Parana basin into sub-basins and used two of them to create template response models of the metrics in relation to the API. We used these response models to predict the responses outside the template sub-basins. Our response variable representing a metric of transferability was the absolute difference between metric's predicted and observed value for each site (prediction error). We thus modeled the prediction error in relation to the predictor variables that were i) the environmental dissimilarity between each site with the average of the sites from template sub-basins (climatic, topographic and soil type variables) and ii) the spatial distance (overland and watercourse distance) between each site and the center of the template sub-basin. We found that errors in metric predictions were associated with both environmental dissimilarity and spatial distance. Furthermore, functional and taxonomic metrics responded equally to spatial distance. These results indicate the need for local calibration of metrics when developing MMIs, especially if the protocols already available come from distant and environmentally dissimilar places.

Stream fish metacommunity organisation across a Neotropical ecoregion: The role of environment, anthropogenic impact and dispersal-based processes.

Understanding how assemblages are structured in space and the factors promoting their distributions is one of the main goals in Ecology, however, studies regarding the distribution of organisms at larger scales remain biased towards terrestrial groups. We attempt to understand if the structure of stream fish metacommunities across a Neotropical ecoregion (Upper Paraná-drainage area of 820,000 km2) are affected by environmental variables, describing natural environmental gradient, anthropogenic impacts and spatial predictors. For this, we obtained 586 sampling points of fish assemblages in the ecoregion and data on environmental and spatial predictors that potentially affect fish assemblages. We calculated the local beta diversity (Local Contribution to Beta Diversity, LCBD) and alpha diversity from the species list, to be used as response variables in the partial regression models, while the anthropogenic impacts, environmental gradient and spatial factors were used as predictors. We found a high total beta diversity for the ecoregion (0.41) where the greatest values for each site sampled were located at the edges of the ecoregion, while richer communities were found more centrally. All sets of predictors explained the LCBD and alpha diversity, but the most important was dispersal variables, followed by the natural environmental gradient and anthropogenic impact. However, we found an increase in the models' prediction power through the shared effect. Results suggest that environmental filters (i.e. environmental variables such as climate, hydrology and anthropogenic impact) and dispersal limitation together shape fish assemblages of the Upper Paraná ecoregion, showing the importance of using multiple sets of predictors to understand the processes structuring biodiversity distribution.

The state of global scientific literature on chlorophyll-A / O estado da arte da literatura científica global sobre clorofila-A

Chlorophyll is a green pigment common to all photosynthetic cells of autotrophic organisms in aquatic or terrestrial environments. Techniques used to quantify this pigment include fluorescence, UV spectrophotometer, chromatography, HPLC, and remote sensing. Determination of the photosynthetic pigment chlorophyll - a (Chl-a), has been used widely in many areas of science. The present study investigated the state of the global scientific literature on Chl-a, determining the countries, approaches, and environments where Chl-a has been studied and the geographic scale used. To obtain this scientometric information, we conducted a study from the Scopus database over a 21-year period from 1990 through 2011. This period saw significant increases in the number of publications (r=0.84 and P< 0.001), different journals where publications appeared (160 journals), major papers with a multidisciplinary character, and a predominance of descriptive approaches with studies conducted in aquatic and marine habitats at a regional scale. The country with the highest number of publications was China (21.64% of total papers; location of study), and the USA had the highest number of authors (19.52% of total papers). The main determining factor for publications was socioeconomic (according to model selection criteria; AIC). This study highlight the multidisciplinary use of Chl-a, and may give some directions to new studies about this pigment.

A clorofila é um pigmento verde, comum em todas as células fotossintéticas de organismos autotróficos, de ambientes aquáticos ou terrestres. As técnicas mais utilizadas para quantificar esse pigmento são a fluorescência, a espectrofotometria de UV, a cromatografia HPLC e o uso de sensores remotos. Assim, a determinação do pigmento fotossintético chlorofila-a (Chl-a), tem sido utilizada amplamente em diversas áreas da ciência. Portanto, o objetivo deste trabalho foi investigar o estado da arte da literatura científica para o pigmento fotossintetizante clorofila-a, determinando os países de estudo, os fatores socioeconômicos- ambiental que estão ligados ao estudo de clorofila ­a, abordagens utilizadas, e ainda, os ambientes estudados, a escala geográfica e as revistas. Para obter tais informações realizou-se um estudo cienciométrico, a partir da base de dados Scopus, numa escala temporal de 21 anos (entre 1990 e 2011). Os padrões encontrados para as pesquisas com Chl-a são o aumento temporal de publicações (r=0.84 and P<0.001), a diversidade de revistas que publicaram estudos sobre o assunto (160 revistas), maior número de publicações com caráter multidisciplinar, predomínio de estudos com abordagens descritivas realizados em ambientes aquáticos e marinhos e estudos em escala geográfica regional. A China foi o país mais estudado com 21,64% do total de artigos publicados, e os estadunidenses lideraram com o maior número de publicações sobre este assunto (19,52% do total de artigos publicados). Utilizando o critério de seleção de modelos de Akaike observou-se que as publicações são impulsionadas pelo fator socioeconômico PIB. Este estudo demonstrou o uso multidisciplinar da Chl-a e pode indicar algumas direções para novos estudos com esse pigmento.