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56 results for “Bioindicators”
Figure 4 in First data on water mite (Acari, Hydrachnidia) assemblages of Point Rosa Marsh, Harrison Township, Michigan, USA, and their use as environmental bioindicators of aquatic health
Figure 4 Frequency of water mite genera collected in Point Rosa Marsh. Comparable samples were collected on nine collection dates during 2017, 2018 and 2019. Graphs are arranged (left to right, and then by row) in the order of the overall frequency of each genus. Each bar graph shows the number of taxa collected on the six collection dates with bars color-coded to assist in comparing graphs on various dates. Dark blue (1&2) [Oct. 18 2017], red (4) [Oct. 19 2017], light green (3) [Oct. 18 2017 (2)], no data (1&2) [Aug. 7 2018], black (1&2) [Aug. 21 2018],
Fig. 1 in Testate amoebae: a review on their multiple uses as bioindicators
Fig. 1. Diverse bioindication properties shown by testate amoebae in lakes, peatlands, soil and sea marshes. (a) Variables liable to be identified by testate amoebae. (b) Paleoenvironmental variables recorded by testate amoebae. N: nitrogen, P: phosphorus, K: potassium, Mn: magnesium, Hg: mercury, Sc: scandium, Pb: lead, Fe: iron, Ba: barium, Cr: chromium, Zn: zinc, Co: cobalt, As: arsenic, Cu: copper, Ca: calcium.
Database including meta data and R script for bachelor thesis biology on ground beetles as bioindicator 2017
<p>Database including meta data and R script for bachelor thesis biology on ground beetles as bioindicator 2017</p>
Fig. 3 in Foraminiferal assemblages as palaeoenvironmental bioindicators in Late Jurassic epicontinental platforms: Relation with trophic conditions
Fig. 3. Explanatory legend of foraminiferal pie−diagram represented in Figs. 4 and 5.
Disentangling effects of disturbance severity and frequency: does bioindication really work?
<p>Ecological disturbances are recognized as a crucial factor influencing the attributes of ecological communities. Depending on the specific adaptation or life cycle, plant species show different responses to disturbances of different magnitudes. Herben et al. (2016) proposed disturbance indicator values (DIVs) that describe the niche of each Central-European plant species along gradients of disturbance frequency and severity. Here we ask if the DIVs can be used in community ecology for bioindication of disturbance regime?</p> <p>We used a dataset of riparian forests sampled within mountain catchments (the Sudetes, SW Poland). As the regime of disturbance is driven by changes in floods from the spring towards the mouth, we calculated the position of every plot along longitudinal (upstream-downstream) gradient and used it as a proxy for the disturbance severity and frequency. We then calculated the community-weighted means (CWMs) for each of the six indices for each plot and analyzed whether these indices reflected the position of the plots along the rivers. We expected an increase in the severity indices and a decrease in the frequency indices downstream along the rivers. Moreover, we analyzed relationships between disturbance indices and species optima along longitudinal gradient.</p> <p>Surprisingly, means for all analyzed indices increased along the rivers. Severity indices showed the strongest association with the longitudinal gradient. The disturbance severity index for herbs was the only index that differed significantly among species with different responses along longitudinal gradient. On these results, we identified a strong correlation between the severity and frequency indices as the main problem.</p> <p>We conclude that the DIVs have considerable applicative potential; however, the determination of ecological niches separately for disturbance severity and frequency is difficult because different components interact to shape the realized niche of each species. All analyzed indices encompass different attributes of the disturbance regime including both severity and frequency.</p>
Figure 2 in First data on water mite (Acari, Hydrachnidia) assemblages of Point Rosa Marsh, Harrison Township, Michigan, USA, and their use as environmental bioindicators of aquatic health
Figure 2 Point Rosa Marsh along Lake St. Clair, Harrison Township, Michigan, USA. (A) Taken at
Figure 1 in First data on water mite (Acari, Hydrachnidia) assemblages of Point Rosa Marsh, Harrison Township, Michigan, USA, and their use as environmental bioindicators of aquatic health
Figure 1 Map of Lake St. Clair Metropark with inset showing placement in the Lake St. Clair
Lichens as bioindicators of monitoring of the selective air pollution, Zabrze (Poland) - total carbon (TC) and total sulfur (TS) results.
<p>Total carbon (TC) and total sulfur (TS) contents were measured using an Eltra CS-500 IR-analyzer with a TIC module. TC was determined using an infrared cell detector on CO2 gas, which was evolved by combustion under an oxygen atmosphere. Calibration was made by means of the Eltra standards 2.27 % S and 45.14 % C. <br> Dr Ewa Szram, employed at the Institute of Earth Sciences, Faculty of Natural Sciences, Silesian University in Katowice, carried out the project. This research was funded by the National Science Centre, Poland MINIATURA-6 2022/06/X/ST10/00338 “Lichens as bioindicators of monitoring of the selective air pollution”</p>
Lichens as bioindicators of monitoring of the selective air pollution, Zabrze (Poland) - XRF analysis results.
<p>XRF analyses were performed by the BRUKER S8 TIGER series 2 WD-XRF spectrometer with a 1kW Rh X-ray tube. The system is equipped with five analyzing crystals (LiF200, PET, XS–55, LIF-220 & Ge) and two detectors (flow and scintillation counter). The samples were measured by best detection mode (18min analysis time), and the results were evaluated in Quant-Express (fundamental parameters) and SPECTRAplus Software.<br> Dr Ewa Szram, employed at the Institute of Earth Sciences, Faculty of Natural Sciences, Silesian University in Katowice, carried out the project. This research was funded by the National Science Centre, Poland MINIATURA-6 2022/06/X/ST10/00338 “Lichens as bioindicators of monitoring of the selective air pollution”</p>
Lichens as bioindicators of monitoring of the selective air pollution, Zaabrze (Poland) - chromatograms of GC-MS
<p>Detailed geochemical analyses were performed on 21 powdered samples after their extraction using ultrasound Elmasonic Easy with a dichloromethane (DCM) and methanol (MeOH) mixture (1:1 vol). Extracts were separated into aliphatic-, aromatic-, semipolar- and polar fractions by column chromatography. Silica-gel was first activated at 120 °C for 24 h, cooled, and poured into Pasteur pipettes. Foour eluents were used for fraction collection, namely, n-pentane for the aliphatic fraction, n-pentane and DCM (7:3) for the aromatic fraction, acetone and DCM (1:1) for the semipolar fraction, and DCM and methanol (1:1) for the polar fraction. The semipolar - and polar fraction was derivatized with MTBSTFA (N-tertbutyldimethylsilyl-N-methyltrifluoroacetamide). Samples were derivatized with MTBSTFA dissolved in super-dehydrated n-hexane, and heated at 70 °C for 3 h. The composition of the separated extracts was analyzed by gas chromatography–mass spectrometry (GC–MS) using an Agilent gas chromatograph 7890A coupled with a mass spectrometer 5975C XL MDS. A DB-5UI column was applied (60 m × 250 μm id, 0.25 μm stationary phase film), with He (purity of 99.9999%) as a carrier gas. The experimental conditions were as follows: injection volume of 1 μL; split/splitless mode; initial temperature of 45 ◦C (isothermal for 1 min); heating rate up to 100 ◦C at 20 ◦C/min, then 3 ◦C/min to 280 ◦C for 66.25 min. The mass spectrometer worked in electron ionization (EI) mode at 70 eV in full scan mode and scanned from 50 to 650 Da.<br> Dr Ewa Szram, employed at the Institute of Earth Sciences, Faculty of Natural Sciences, Silesian University in Katowice, carried out the project. This research was funded by the National Science Centre, Poland MINIATURA-6 2022/06/X/ST10/00338 “Lichens as bioindicators of monitoring of the selective air pollution”</p>
Disentangling effects of disturbance severity and frequency: does bioindication really work?
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Data from: Vascular plant species richness and bioindication predict multi‐taxon species richness
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Figure 3 in Terrestrial isopods as bioindicators for environmental monitoring in olive groves and natural ecosystems
Figure 3. Activity density of isopods in olive grove management systems. Letters indicate homogeneous groups.
Data related to Ciona spp. and ascidians as bioindicator organisms for evaluating effects of endocrine disrupting chemicals: A discussion paper
<p>This dataset is related to "Ciona spp. and ascidians as bioindicator organisms for evaluating effects of endocrine disrupting chemicals: A discussion paper" PMID: <strong>37708617</strong> doi: 10.1016/j.marenvres.2023.106170. Epub 2023 Sep 9.</p>
Bioindicators Associated With Sarcopenia Before and After Intensive Lifestyle Intervention
ClinicalTrials.gov study NCT06128577. IPD Sharing: YES. Countries: 1. Publications: 1.
Data from: Impact of hydromorphological pressures on the macrophytes bioindicators of the ecological water quality in Mediterranean rivers
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Figure 2 in Terrestrial isopods as bioindicators for environmental monitoring in olive groves and natural ecosystems
Figure 2. Occurrence of isopod species per studied site.
Burrowing behavior and burrowing energetics of a bioindicator under human disturbance
<p>Bioindicator species are extensively used for rapid assessment of ecological changes. Their use commonly focuses on changes in population abundance and individual sizes in response to environmental change. These numerical and demographic shifts likely have behavioral and physiological mechanistic drivers that, if understood, could provide additional insights into the use of these species as bioindicators of habitat health. The Atlantic ghost crab, <em>Ocypode quadrata</em>, is a global bio-indicator species of human disturbance on sandy shores. Individual size and population abundance of <em>O. quadrata</em> decline dramatically at sites with human disturbance, and the causes of this phenomenon remain unclear. Here, we test the hypothesis that individual and population-level changes at disturbed sites reflect changes in burrowing behavior and energetics. Specifically, we examine whether or not the burrowing behavior (e.g. burrow fidelity and longevity) of <em>O. quadrata</em> changes because of human disturbance. We also examine energy required for burrowing by <em>O. quadrata</em> across different levels of human disturbance. We show that <em>O. quadrata</em> has the highest burrow fidelity and longevity at sites with low level of human impact, and weakest burrow fidelity and longevity at pristine sites. <em>O. quadrata</em> reduce the burrowing energy allocation by manipulating the burrow dimension and increasing the burrow longevity even under low levels of human disturbance. Overall, this study shows that human disturbances not only change the behavior of organisms, but also shift energetic balance. Our results support the use of a bioenergetic approach to better understand how human disturbances influence natural populations, and the specific use of this approach with this bioindicator species.</p>
Figure 4 in Histological biomarkers and biometric data on trahira Hoplias malabaricus (Pisces, Characiformes, Erythrinidae): a bioindicator species in the Mearim river, Brazilian Amazon
Figure 4. Tree of similarity of the branchial lesions observed in the specimens collected in the two studied areas (A1 and A2). Aneu: aneurysm; Hyperp: hyperplasia; Displac epith: displacement of the epithelium; Lamel disorg: lamellar disorganization; Dilat ven sin: dilation of venous sinus; Mucous cells: proliferation of mucus cells; Comp fusion: complete lamellar fusion; and Inc fusion: incomplete lamellar fusion.
Supplementary material 1 from: Maissour A, Benamar S (2019) Impact of hydromorphological pressures on the macrophytes bioindicators of the ecological water quality in Mediterranean rivers. BioRisk 14: 1-14. https://doi.org/10.3897/biorisk.14.30319
: Data type: occurences
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Annotated Behaviour and Observability Dataset (ABODe)
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