Assessing depressional wetland quantity and quality using a probabilistic sampling design in the Redwood River watershed, Minnesota, USA

Wetlands ◽  
2008 ◽  
Vol 28 (2) ◽  
pp. 324-335 ◽  
Author(s):  
John A. Genet ◽  
Anthony R. Olsen
Keyword(s):  
Sampling Design ◽  
River Watershed ◽  
Probabilistic Sampling ◽  
Depressional Wetland

The assessment of the attitude of Sicilian consumers towards wild and farmed seafood products – a sample survey

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Rosalinda Allegro ◽  
Antonino Calagna ◽  
Daniela Lo Monaco ◽  
Valentina Ciprì ◽  
Carmelo Bongiorno ◽  
...  
Keyword(s):  
Sampling Design ◽  
Multiple Correspondence Analysis ◽  
National Level ◽  
Sample Survey ◽  
Farmed Fish ◽  
Content Type ◽  
Fresh Fish ◽  
Face To Face ◽  
Probabilistic Sampling ◽  
Seafood Products

PurposeThe purpose of the paper was to know and evaluate consumption, preferences and the knowledge of labelling legislation about wild and farmed seafood products.Design/methodology/approachA sample survey on Sicilian families was conducted through a direct interviews between October 2015 and October 2016 to study the attitudes of Sicilian consumers towards wild and farmed fish and seafood products. A stratified two-stage sampling design was chosen with variable probability of inclusion of the units of first stage and 1,700 subjects were interviewed.FindingsThe results obtained showed that the 69.4% of respondent ate fresh fish at least once a week and the 86% of respondents consumed aquaculture products at least once a month. Also, the 77.3% of respondents did not know the current legislation on the labelling. Multiple correspondence analysis allowed to identified three profiles of Sicilian families and binary logit model was used to examine the factors that influenced different frequency of fresh fish consumption in general and farmed seafood products in particular.Research limitations/implicationsExtending the research throughout the Italian territory would have allowed further comparisons at the national level.Practical implicationsThe research provides useful information on Sicilian consumers that could be used by policymakers and by marketing communications company.Social implicationsThis research, on a restricted group of European consumers (Sicilian), characterised by living in an island, reinforce the knowledge regarding seafood consumers.Originality/valueThis study used a probabilistic sampling design and a face-to-face questionnaire which produce results more robust in compare to surveys used more frequently such as non-probabilistic sampling design.

scholarly journals Plant diversity changes in a nature reserve: a probabilistic sampling method for quantitative assessments

2019 ◽  
Vol 34 ◽  
pp. 145-161 ◽  
Author(s):  
Stefano Chelli ◽  
Enrico Simonetti ◽  
Giandiego Campetella ◽  
Alessandro Chiarucci ◽  
Marco Cervellini ◽  
...  
Keyword(s):  
Species Richness ◽  
Monitoring System ◽  
Plant Diversity ◽  
Management Practices ◽  
Sampling Design ◽  
Nature Reserve ◽  
Vegetation Types ◽  
Probabilistic Sampling ◽  
Compositional Changes ◽  
Over Time

Species pool conservation is critical for the stability of ecosystem processes. However, climate and land use changes will likely affect biodiversity, and managers of protected areas are under increasing pressure to monitor native species diversity changes by approaches that are scientifically sound and comparable over time. Here we describe a plant diversity monitoring system in use since 2002 in the “Montagna di Torricchio” Nature Reserve (LTER_EU_IT_033), a Central Apennines representative area of 317 ha, most of which is under strict protection. The aim of this paper was to assess changes in plant species richness over time and to deduce the patterns of species assemblage. The monitoring system was based on a probabilistic sampling design representative of the different physiognomic vegetation types occurring in the Reserve. A total of 34 plots (10×10m) were sampled in 2002, 2003 and 2015, and their species presence/absence and relative coverage were estimated. Repeated measure ANOVA was used to test for plot-level and ecosystem-based changes in species richness along the study period. Temporal nestedness and temporal turnover metrics were used to assess patterns of species’ compositional changes. The results showed significantly different levels of species richness depending on the year, with the lowest value in 2003, probably linked to extreme drought events. Forest systems were comparatively stable, demonstrating the capacity to buffer interannual climate variability. Regarding compositional changes along the entire period (2002–2015), we found random patterns of both temporal nestedness and turnover, indicating stability in species composition. However, we also showed the contemporary occurrence of species loss and species replacement processes, considering the dry year 2003, a finding which should be further explored through fine-scale studies to unravel mechanisms of community assembly under drought. The use of a probabilistic sampling design representative of the different physiognomic vegetation types proved to be advantageous in monitoring the Nature Reserve vegetation and collecting reliable quantitative information. This data, in turn, provides the basis for improvements in management practices and proposed adaptation measures.

Assessment of wadeable stream resources in the driftless area ecoregion in Western Wisconsin using a probabilistic sampling design

2008 ◽  
Vol 150 (1-4) ◽  
pp. 75-89 ◽  
Author(s):  
Michael A. Miller ◽  
Alison C. C. Colby ◽  
Paul D. Kanehl ◽  
Karen Blocksom
Keyword(s):  
Sampling Design ◽  
Driftless Area ◽  
Probabilistic Sampling

Comparing fixed-point and probabilistic sampling designs for monitoring the marine ecosystem near McMurdo Station, Ross Sea, Antarctica

2008 ◽  
Vol 20 (5) ◽  
pp. 471-484 ◽  
Author(s):  
Sally Morehead ◽  
Paul Montagna ◽  
Mahlon C. Kennicutt
Keyword(s):  
Fixed Point ◽  
Small Area ◽  
Sampling Design ◽  
Marine Ecosystem ◽  
Sediment Quality ◽  
Chemical Exposure ◽  
Sediment Quality Triad ◽  
Point Sampling ◽  
Probabilistic Sampling ◽  
Mcmurdo Station

AbstractFixed-point and probabilistic sampling designs were compared to investigate which design best detected known contamination gradients in the marine ecosystem adjacent to McMurdo Station, Antarctica. The fixed-point sampling design included transects along historical contamination and physical disturbance gradients. The probabilistic sampling design used randomly selected hexagons spaced at 50 m intervals. In both designs, 15 stations were sampled over a small area (~1 km2) that extended from Winter Quarters Bay to Cape Armitage. Sediment quality triad components (sediment chemical contaminants, sediment toxicity, and a benthic index of biotic integrity) were measured to indicate chemical, toxicological, and biological effects. There were higher correlations between sediment quality triad components for the fixed-point sampling design than for the probabilistic design. The fixed-point design was better at detecting the intensity of alteration because disturbance of the marine ecosystem at McMurdo Station is localized within a small area. Based on these results, a limited fixed-point design with nine stations detected no significant change in macrofaunal community structure over a four year period from 2000–2004. However, the macrofaunal assemblages present in the contaminated portions of Winter Quarters Bay are indicative of a disturbed benthic community that has been subject to organic enrichment and toxic chemical exposure.

scholarly journals Do different sampling designs produce differences in the metrics of curimba, Prochilodus lineatus (Characiformes: Prochilodontidae)?

2018 ◽  
Vol 16 (4) ◽  
Author(s):  
Gregório Kurchevski ◽  
Alexandre Lima Godinho
Keyword(s):  
Spatial Heterogeneity ◽  
River Basin ◽  
Sampling Design ◽  
Paraná River ◽  
Financial Resources ◽  
Prochilodus Lineatus ◽  
Probabilistic Sampling ◽  
Parana River ◽  
Paraná River Basin ◽  
Sampling Trip

ABSTRACT Probabilistic sampling, a classical recommendation for unbiased data, has been often overlooked. Fish sampling in reservoirs, unlike most rivers, can be accomplished by a variety of probabilistic sampling designs due to few restrictions in the choice of sampling sites (SSs). We evaluated whether population metrics of Prochilodus lineatus differ between fixed SSs (do not change with each sampling trip) and variable SSs (change with each sampling trip) in the Volta Grande (VGR) and Jaguara (JR) reservoirs of the Grande River, Paraná River basin, Brazil. We used gillnets to sample fish at nine probabilistic fixed SSs and nine probabilistic variable SSs per sampling trip. We conducted 25 sampling trips in VGR and 22 in JR during 2011 to 2015, and performed 35 analyses of 8 metrics for each reservoir. We found sampling design influenced only 7% of the analyses involving three metrics, apparently caused by biased data of fixed SSs. We attribute the small percentage of analyses influenced by sampling design to the low spatial heterogeneity of the reservoirs. The choice of the most appropriate sampling design seems to depend on the type of variation (temporal or spatial) that one wishes to detect, and the availability of time and financial resources.

ASSESSMENT OF JAJROOD RIVER WATERSHED MICROBIAL POLLUTION: SOURCES AND FATES

2010 ◽  
Vol 9 (3) ◽  
pp. 385-391
Author(s):  
Mahdi Maghrebi ◽  
Masoud Tajrishy ◽  
Mahdi Jamshidi
Keyword(s):  
Pollution Sources ◽  
Microbial Pollution ◽  
River Watershed
Sign in / Sign up

Export Citation Format

Share Document