Habitat discontinuity of aquatic environments is a serious problem that might hamper the different activities performed by organisms. When combined with contamination, the consequences for the population's dynamics might be exacerbated, particularly regarding foraging activity. Therefore, the aim of this study was to evaluate the combined effects of habitat discontinuity and contamination on the foraging behavior by zebrafish (Danio rerio) and on their ability to explore heterogeneous landscapes. The organisms were exposed to three different scenarios of contamination (0, 0.5 and 25 μg L of Cu) and habitat discontinuity (zero, low and high), using the Heterogeneous Multi-Habitat Assay System (HeMHAS). Generalized Bayesian linear models were used to analyze the data and evidence ratios (ER) were used to test the hypotheses. As results, both high levels of contamination and habitat discontinuity had significant effects on the probability of organisms to reach food (ER = 111.8 and > 1,000, respectively), the time taken to reach food (ER = 532.22 and > 1000, respectively) and the time spent in each compartment (ER = 614.4 and > 1000 for contamination and the number of connections available, respectively). As conclusion, the habitat fragmentation as a consequence of contamination and discontinuity affected the probability of fish to reach food and the time spent to reach it. This could lead to additional energy budget with serious consequences for population dynamics. Also, the HeMHAS demonstrated its suitability to assess the role of the contamination and habitat connectivity stressors in the spatial distribution and habitat selection response.
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http://dx.doi.org/10.1016/j.envres.2024.120609 | DOI Listing |
Ann Bot
December 2024
Hunan Provincial key Laboratory of Ecological Conservation and Sustainable Utilization of Wulingshan Resources, College of Biology and Environmental Sciences, Jishou University, Jishou, Hunan, 416000, China.
Background And Aims: Nekemias is a small genus of the grape family, with nine species discontinuously distributed in temperate to subtropical zones of the Northern Hemisphere but mostly in East Asia. Previous phylogenetic studies on Nekemias have mainly based on a few chloroplast markers, and the phylogenetic framework and systematic relationships are still highly contested.
Methods: We carried out a systematic framework reconstruction of Nekemias and intra-generic reticulate evolutionary analyses based on extensive single-copy nuclear and chloroplast genomic data obtained by the Hyb-Seq approach, combining genome skimming and target enrichment.
J Environ Manage
December 2024
College of Water Science, Beijing Normal University, Beijing, 100875, PR China.
Microorganisms play a fundamental role in driving biogeochemical functions within rivers. Theoretically, the directional flowing nature of river contributes to the continuous downstream change pattern of microbial communities. This continuity is anticipated to be influenced by human activities as anthropogenic materials lead to the mixing of environmental substances and their resident microorganisms with local communities.
View Article and Find Full Text PDFEnviron Res
December 2024
. Institute of Marine Sciences of Andalusia (CSIC), Department of Ecology and Coastal Management, Campus Universitario Río San Pedro, s/n, 11510, Puerto Real, Spain.
Habitat discontinuity of aquatic environments is a serious problem that might hamper the different activities performed by organisms. When combined with contamination, the consequences for the population's dynamics might be exacerbated, particularly regarding foraging activity. Therefore, the aim of this study was to evaluate the combined effects of habitat discontinuity and contamination on the foraging behavior by zebrafish (Danio rerio) and on their ability to explore heterogeneous landscapes.
View Article and Find Full Text PDFNew Phytol
January 2025
Department of Ecosystem and Landscape Dynamics, Institute for Biodiversity and Ecosystem Dynamics, University of Amsterdam, Amsterdam, 1098 XH, the Netherlands.
Here, we developed and applied models to quantitatively reconstruct forest cover and biomass changes at three lakes in northwestern Amazonia over the past > 1500 yr. We used remotely sensed data and a modern dataset of 50 Amazonian lakes to develop generalized linear models that predict aboveground biomass, using phytolith morphotypes and forest cover as predictor variables. Also, we applied a published beta regression model to predict forest cover within 200 m of each lake, using Poaceae phytoliths.
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