scholarly journals Public science data suggest that fish is the most important factor in reducing small pond biodiversity in Czechia

2021 ◽  
Author(s):  
Jiri Hulcr ◽  
Demian F Gomez
Keyword(s):  
Aquatic Macrophytes ◽  
Aquatic Vegetation ◽  
Invertebrate Community ◽  
Science Data ◽  
Mobile Phone Application ◽  
Public Science ◽  
Invertebrate Sampling ◽  
Almost All ◽  
Invertebrate Community Structure ◽  
Ecological Statistics

This project tested a public-science approach to the assessment of freshwater habitat quality via simple invertebrate sampling. We combined a mobile phone application and simple instruction to children to sample 50 ponds in Central Czechia, and we analyzed the data using a standard ecological statistics approach. Despite the limitation in scope and taxonomic precision, our data revealed the same patterns as academic studies of the same topic. Specifically, we conclude that the main cause of invertebrate community decline is fish overstocking, while diverse invertebrate communities require aquatic macrophytes. Pollution detectable by children has an effect on invertebrate community structure, but a different effect than fish has, and not as statistically robust. Importantly, almost all large ponds were found overstocked with fish; therefore they support not more diversity than small ponds, but less, and serve as ecological traps. Our findings suggest that pond conservation should focus primarily on the restoration of aquatic vegetation, and that the most effective approach will be the removal of excessive fish.

Factors influencing invertebrate communities in prairie wetlands: a multivariate approach

2000 ◽  
Vol 57 (1) ◽  
pp. 76-85 ◽  
Author(s):  
Kyle D Zimmer ◽  
Mark A Hanson ◽  
Malcolm G Butler
Keyword(s):  
Community Structure ◽  
Aquatic Macrophytes ◽  
Pimephales Promelas ◽  
Fish Predation ◽  
Fathead Minnows ◽  
Invertebrate Community ◽  
Prairie Wetlands ◽  
Invertebrate Communities ◽  
Influential Variable ◽  
Invertebrate Community Structure

We examined the relationships between invertebrate community structure and a number of biotic and abiotic variables in 19 semipermanent prairie wetlands. We tested whether aquatic invertebrate communities differed (i) between wetlands with and without fathead minnows (Pimephales promelas) and (ii) according to drainage history of wetlands (restored versus natural, nondrained). We also evaluated influences of other environmental variables on invertebrate community structure, including abundance of aquatic macrophytes and amphibians and wetland depth and surface area. Invertebrate communities differed significantly between wetlands with and without fathead minnows, largely due to lower relative abundance of 19 invertebrate taxa (of 32 taxa analyzed) in wetlands with fathead minnows. In contrast, we found no differences in these taxa between natural and restored wetlands. Canonical correspondence analysis indicated that invertebrate community structure was affected by abundance of fathead minnows, abundance of aquatic macrophytes, and wetland depth, with fathead minnows the most influential variable measured. Many studies have documented the effects of fish predation on zooplankton communities, but our results show that fathead minnows in prairie wetlands affect a large number of diverse invertebrate taxa. The presence of these fish results in an invertebrate community distinctly different from that found in fishless wetlands.

scholarly journals Forest disturbance and arthropods: Small-scale canopy gaps drive invertebrate community structure and composition

Ecosphere ◽  
2018 ◽  
Vol 9 (10) ◽  
pp. e02463 ◽  
Author(s):  
Kayla I. Perry ◽  
Kimberly F. Wallin ◽  
John W. Wenzel ◽  
Daniel A. Herms
Keyword(s):  
Community Structure ◽  
Forest Disturbance ◽  
Canopy Gaps ◽  
Small Scale ◽  
Invertebrate Community ◽  
Invertebrate Community Structure

scholarly journals Suitability of Macrophytes for Wastewater Treatment and Biogas Generation

2019 ◽  
Vol 9 (2S2) ◽  
pp. 16-18
Keyword(s):  
Wastewater Treatment ◽  
Water Hyacinth ◽  
Aquatic Macrophytes ◽  
Aquatic Macrophyte ◽  
Biogas Production ◽  
Oxygen Demand ◽  
Cow Dung ◽  
Water Lettuce ◽  
Before And After ◽  
Almost All

In this paper three sustainable approaches are made in waste management option. Firstly primary treated domestic sewage is treated by aquatic macrophytes using duckweed, water hyacinth and water lettuce. Biochemical Oxygen Demand (BOD), Chemical Oxygen Demand (COD), Total Suspended Solids (TSS), Total Dissolved Solids (TDS), Phosphate, Nitrates are tested before and after. Result indicates in terms of water quality, almost all three plants shows same removal efficiencies. BOD and TSS removal efficiency is attained more than 95%. COD and TDS removal is reached upto 50% for almost all plants. Secondly the used aquatic macrophytes for wastewater treatment is again used for generation of biogas (water lettuce unit, duckweed unit, water lettuce unit). In addition to three aquatic macrophytes, sludge is collected from aquatic macrophyte unit for generation of biogas. Comparison is made with conventional cow dung biogas unit. Result indicates water lettuce and duckweed produce biogas at earlier stage itself and water hyacinth takes some time for starting of biogas production. This may be due to the structure and texture causes some time for decomposition. Sludge gives maximum biogas generation among all experimental setup. Also in this study cow dung did not give biogas more may be due to poor blend ratio of cow dung with water is one of the reason.

scholarly journals Synergy of High-Resolution Radar and Optical Images Satellite for Identification and Mapping of Wetland Macrophytes on the Danube Delta

2020 ◽  
Vol 12 (14) ◽  
pp. 2188 ◽  
Author(s):  
Simona Niculescu ◽  
Jean-Baptiste Boissonnat ◽  
Cédric Lardeux ◽  
Dar Roberts ◽  
Jenica Hanganu ◽  
...  
Keyword(s):  
Time Series ◽  
Aquatic Macrophytes ◽  
Aquatic Vegetation ◽  
Myriophyllum Spicatum ◽  
Danube Delta ◽  
Backscatter Coefficient ◽  
Macrophyte Communities ◽  
Optical Images ◽  
Detailed Classification ◽  
Floating Vegetation

In wetland environments, vegetation has an important role in ecological functioning. The main goal of this work was to identify an optimal combination of Sentinel-1 (S1), Sentinel-2 (S2), and Pleiades data using ground-reference data to accurately map wetland macrophytes in the Danube Delta. We tested several combinations of optical and Synthetic Aperture Radar (SAR) data rigorously at two levels. First, in order to reduce the confusion between reed (Phragmites australis (Cav.) Trin. ex Steud.) and other macrophyte communities, a time series analysis of S1 data was performed. The potential of S1 for detection of compact reed on plaur, compact reed on plaur/reed cut, open reed on plaur, pure reed, and reed on salinized soil was evaluated through time series of backscatter coefficient and coherence ratio images, calculated mainly according to the phenology of the reed. The analysis of backscattering coefficients allowed separation of reed classes that strongly overlapped. The coherence coefficient showed that C-band SAR repeat pass interferometric coherence for cut reed detection is feasible. In the second section, random forest (RF) classification was applied to the S2, Pleiades, and S1 data and in situ observations to discriminate and map reed against other aquatic macrophytes (submerged aquatic vegetation (SAV), emergent macrophytes, some floating broad-leaved and floating vegetation of delta lakes). In addition, different optical indices were included in the RF. A total of 67 classification models were made in several sensor combinations with two series of validation samples (with the reed and without reed) using both a simple and more detailed classification schema. The results showed that reed is completely discriminable compared to other macrophyte communities with all sensor combinations. In all combinations, the model-based producer’s accuracy (PA) and user’s accuracy (UA) for reed with both nomenclatures were over 90%. The diverse combinations of sensors were valuable for improving the overall classification accuracy of all of the communities of aquatic macrophytes except Myriophyllum spicatum L.

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