scholarly journals Mountain lakes of Mont Avic Natural Park: ecological features and conservation issues

2019 ◽  
Vol 79 (1) ◽  
Author(s):  
Rocco Tiberti ◽  
Francesco Buscaglia ◽  
Marco Armodi ◽  
Cristiana Callieri ◽  
Fabio Ribelli ◽  
...  
Keyword(s):  
Organic Pollution ◽  
Mountain Lakes ◽  
Reference Database ◽  
Ecological Knowledge ◽  
Italian Alps ◽  
Introduced Fish ◽  
Ecological Data ◽  
Natural Park ◽  
Ecological Features ◽  
Conservation Problem

Mountain lakes provide some fundamental ecosystem services (i.e., water supply for drinking and energy production) and have an enormous aesthetic and conservation value. Ecological knowledge on mountain lakes, however, is still scarce and limited to a few geographical areas and mainly to abiotic features. To fill this gap, a limnological campaign was carried out on 19 lakes of the Mont Avic Natural Park (Aosta, Western Italian Alps). Bathymetric maps of the lakes are provided in this paper, as is data on the lakes’ physical properties, chemistry, nano- and pico-plankton, zooplankton, littoral macroinvertebrates, amphibians and introduced fish. The aim of this study was to create a reference database of ecological data for the development of new studies and conservation measures/actions. To this end, ecological data are discussed from both a limnological and a conservation perspective, allowing for the identification of major threats affecting the lakes in the protected area. Despite local threats which include water exploitation, organic pollution, and introduced fish, water quality was good. Lake biota can however be affected by such threats, in particular introduced fish (Salmonidae and Cyprinidae), representing a challenging conservation problem.

scholarly journals Diat.barcode: a DNA tool to decipher diatom communities for the evaluation environmental pressures

2021 ◽  
Vol 4 ◽  
Author(s):  
Frederic Rimet ◽  
Teofana Chonova ◽  
Gilles Gassiole ◽  
Maria Kahlert ◽  
François Keck ◽  
...  
Keyword(s):  
Taxonomic Diversity ◽  
R Package ◽  
Life Forms ◽  
Reference Database ◽  
Sequencing Data ◽  
Culture Collections ◽  
Environmental Pressures ◽  
Ecological Features ◽  
Dna Metabarcoding ◽  
Environmental Sequences

Diatoms (Bacillariophyta) are ubiquitous microalgae, which present a huge taxonomic diversity, changing in correlation with differing environmental conditions. This makes them excellent ecological indicators for various ecosystems and ecological problematics (ecotoxicology, biomonitoring, paleo-environmental reconstruction …). Current standardized methodologies for diatoms are based on microscopic determinations, which is time consuming and prone to identification uncertainties. DNA metabarcoding has been proposed as a way to avoid these flaws, enabling the sequencing of a large quantity of barcodes from natural samples. A taxonomic identity is given to these barcodes by comparing their sequences to a barcoding reference library. However, to identify environmental sequences correctly, the reference database should contain a representative number of reference sequences to ensure a good coverage of diatom diversity. Moreover, the reference database needs to be carefully taxonomically curated by experts, as its content has an obvious impact on species detection. Diat.barcode is an open-access library for diatoms linking diatom taxonomic identities to rbcL barcode sequences (a chloroplast marker suitable for species-level identification of diatoms), which has been maintained since 2012. Data are accumulated from three sources: (1) the NCBI nucleotide database, (2) unpublished sequencing data of culture collections and more recently (3) environmental sequences. Since 2017, an international network of experts in diatom taxonomy curate this library. The last version of the database (version 9.2), includes 8066 entries that correspond to more than 280 different genera and 1490 different species. In addition to the taxonomic information, morphological features (e.g. biovolumes, chloroplasts, etc.), life-forms (mobility, colony-type) and ecological features (taxa preferences to pollution) are given. The database can be downloaded from the website (www6.inrae.fr/carrtel-collection/Barcoding-database/) or directly through the R package diatbarcode. Ready-to-use files for commonly used metabarcoding pipelines (Mothur and DADA2) are also available.

scholarly journals Do alpine macroinvertebrates recover differently in lakes and rivers after alien fish eradication?

2019 ◽  
pp. 37
Author(s):  
Rocco Tiberti ◽  
Stefano Brighenti
Keyword(s):  
Fish Populations ◽  
Mountain Lake ◽  
Macroinvertebrate Communities ◽  
Italian Alps ◽  
Introduced Fish ◽  
Habitat Features ◽  
Stream Communities ◽  
Mechanical Methods ◽  
Eradication Campaign ◽  
Alien Fish

Introduced fish can have detrimental effects on native biota inhabiting alpine freshwaters with the extent of their impact depending on variables such as habitat features. The present study aims to compare the recovery of macroinvertebrate communities following a fish eradication campaign in a mountain lake (Lake Dres, 2087 m a.s.l., Western Italian Alps) and its inflowing and outflowing streams. All fish were removed using mechanical methods, not producing side-effects for macroinvertebrates. During eradication, the lake community, which had previously been greatly affected, rapidly recovered to levels typical of never-stocked lakes. Stream communities, however, were apparently not impacted by fish populations and remained relatively stable, proving their greater capacity to withstand fish presence. The abundance of spatial refugia and invertebrate recruitment (via birth or immigration) can explain the observed stability in stream communities. Drifting macroinvertebrates are often called into question to explain the resistance of stream communities as they can partially offset predation via benthic recruitment, but our results show that stream resistance can be high even where drift is low, i.e., in the outflowing stream.

Multi-year trends and determinants of the hydrochemistry of high mountain lakes in the Western Italian Alps

2019 ◽  
Vol 81 (3) ◽  
Author(s):  
Rocco Tiberti ◽  
Luca Nelli ◽  
Aldo Marchetto ◽  
Gabriele Tartari ◽  
Eric Wienckowski ◽  
...  
Keyword(s):  
Mountain Lakes ◽  
High Mountain ◽  
Italian Alps ◽  
High Mountain Lakes

Morphometry and metal concentrations in water and bottom sediments of mountain lakes in Ergaki Natural Park, Western Sayan Mountains

2015 ◽  
Vol 42 (5) ◽  
pp. 670-682 ◽  
Author(s):  
O. V. Anishchenko ◽  
L. A. Glushchenko ◽  
O. P. Dubovskaya ◽  
I. V. Zuev ◽  
A. V. Ageev ◽  
...  
Keyword(s):  
Bottom Sediments ◽  
Mountain Lakes ◽  
Metal Concentrations ◽  
Natural Park ◽  
Western Sayan

Remote mountain lakes as indicators of diffuse acidic and organic pollution in the Iberian peninsula (AL:PE 2 studies)

1995 ◽  
Vol 85 (2) ◽  
pp. 487-492 ◽  
Author(s):  
L. Camarero ◽  
J. Catalan ◽  
S. Pla ◽  
M. Rieradevall ◽  
M. Jim�nez ◽  
...  
Keyword(s):  
Iberian Peninsula ◽  
Organic Pollution ◽  
Mountain Lakes

scholarly journals Bioindication of Water Quality by Diatom Algae in High Mountain Lakes of the Natural Park of Artabel Lakes, (Gümüşhane, Turkey)

2020 ◽  
Vol 22 (1) ◽  
pp. 1-28
Author(s):  
Bülent Şahin ◽  
Bülent Akar ◽  
Sophia Barinova
Keyword(s):  
Water Quality ◽  
Quality Standards ◽  
Mountain Lakes ◽  
High Mountain ◽  
Diatom Species ◽  
Diatom Algae ◽  
Water Quality Standards ◽  
High Mountain Lakes ◽  
Natural Park ◽  
First Results

Abstract The first results of bioindicative analysis of water quality in the high-mountainous lakes of the Artabel Lakes Natural Park are presented using diatom species. A total of 95 diatom taxa collected in August 2013 and 2016 were identified and used as bioindicators for ten environmental variables. Bioindication, statistical methods and comparative floristic results show that the waters in all the lakes studied were fresh, low-saline, with circum-neutral pH and organically uncontaminated. The results of bioindication can be used as etalons for future monitoring of lakes in order to protect species found in the natural park, and can also be included in the national system of water quality standards in Turkey.

scholarly journals SSP: An R package to estimate sampling effort in studies of ecological communities

2020 ◽  
Author(s):  
Edlin J. Guerra-Castro ◽  
Juan Carlos Cajas ◽  
Nuno Simões ◽  
Juan J Cruz-Motta ◽  
Maite Mascaró
Keyword(s):  
Simulated Data ◽  
Real Data ◽  
R Package ◽  
Sampling Effort ◽  
Ecological Communities ◽  
Ecological Data ◽  
Data Set ◽  
Pilot Studies ◽  
Ecological Features ◽  
Wide Range

ABSTRACTSSP (simulation-based sampling protocol) is an R package that uses simulation of ecological data and dissimilarity-based multivariate standard error (MultSE) as an estimator of precision to evaluate the adequacy of different sampling efforts for studies that will test hypothesis using permutational multivariate analysis of variance. The procedure consists in simulating several extensive data matrixes that mimic some of the relevant ecological features of the community of interest using a pilot data set. For each simulated data, several sampling efforts are repeatedly executed and MultSE calculated. The mean value, 0.025 and 0.975 quantiles of MultSE for each sampling effort across all simulated data are then estimated and standardized regarding the lowest sampling effort. The optimal sampling effort is identified as that in which the increase in sampling effort do not improve the precision beyond a threshold value (e.g. 2.5 %). The performance of SSP was validated using real data, and in all examples the simulated data mimicked well the real data, allowing to evaluate the relationship MultSE – n beyond the sampling size of the pilot studies. SSP can be used to estimate sample size in a wide range of situations, ranging from simple (e.g. single site) to more complex (e.g. several sites for different habitats) experimental designs. The latter constitutes an important advantage, since it offers new possibilities for complex sampling designs, as it has been advised for multi-scale studies in ecology.

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