scholarly journals Using passive acoustics for long-term, continuous measurements of fish biodiversity in estuarine systems

2018 ◽  
Author(s):  
Olivia N Caretti ◽  
David B Eggleston ◽  
DelWayne R Bohnenstiehl
Keyword(s):  
Ecosystem Health ◽  
Sampling Methods ◽  
Habitat Conservation ◽  
Fish Diversity ◽  
Oyster Reefs ◽  
Spatiotemporal Resolution ◽  
Fish Biodiversity ◽  
Pamlico Sound ◽  
Passive Acoustic

Assessing the biodiversity of underwater habitats can be challenging; traditional sampling methods do not record all fish species, and are often conducted intermittently. As a result, fish diversity, ecosystem health, and resulting conservation decisions are often inferred through incomplete “snapshots” in time. Passive acoustic recordings can be conducted with high spatiotemporal resolution, and can provide data on species of ecological and economic importance that are missed by traditional sampling. This information is vital to understanding fish behavior, including when and where certain species are spawning, which is key to habitat conservation. We investigated the use of soundscapes as a tool to monitor fish biodiversity on oyster reefs in Pamlico Sound, NC, by coupling soundscape surveys with traditional biodiversity sampling. Fish vocalizations were detected in the soundscape especially at night when traditional biodiversity sampling would not normally occur, and during short periods of activity which may be missed by periodic sampling. In addition, soundscape composition changed over time, and was related to changes in biological community composition. When coupled with traditional biodiversity sampling methods, soundscape monitoring may provide a more complete understanding of spatiotemporal patterns in fish biodiversity and ecosystem health, which will inform future habitat conservation efforts in coastal ecosystems.

scholarly journals Using passive acoustics for long-term, continuous measurements of fish biodiversity in estuarine systems

2018 ◽  
Author(s):  
Olivia N Caretti ◽  
David B Eggleston ◽  
DelWayne R Bohnenstiehl
Keyword(s):  
Ecosystem Health ◽  
Sampling Methods ◽  
Habitat Conservation ◽  
Fish Diversity ◽  
Oyster Reefs ◽  
Spatiotemporal Resolution ◽  
Fish Biodiversity ◽  
Pamlico Sound ◽  
Passive Acoustic

Assessing the biodiversity of underwater habitats can be challenging; traditional sampling methods do not record all fish species, and are often conducted intermittently. As a result, fish diversity, ecosystem health, and resulting conservation decisions are often inferred through incomplete “snapshots” in time. Passive acoustic recordings can be conducted with high spatiotemporal resolution, and can provide data on species of ecological and economic importance that are missed by traditional sampling. This information is vital to understanding fish behavior, including when and where certain species are spawning, which is key to habitat conservation. We investigated the use of soundscapes as a tool to monitor fish biodiversity on oyster reefs in Pamlico Sound, NC, by coupling soundscape surveys with traditional biodiversity sampling. Fish vocalizations were detected in the soundscape especially at night when traditional biodiversity sampling would not normally occur, and during short periods of activity which may be missed by periodic sampling. In addition, soundscape composition changed over time, and was related to changes in biological community composition. When coupled with traditional biodiversity sampling methods, soundscape monitoring may provide a more complete understanding of spatiotemporal patterns in fish biodiversity and ecosystem health, which will inform future habitat conservation efforts in coastal ecosystems.

scholarly journals Underwater Soundscape Monitoring and Fish Bioacoustics: A Review

Fishes ◽  
2018 ◽  
Vol 3 (3) ◽  
pp. 36 ◽  
Author(s):  
Adelaide Lindseth ◽  
Phillip Lobel
Keyword(s):  
Data Analysis ◽  
Data Storage ◽  
Sampling Methods ◽  
Acoustic Monitoring ◽  
Passive Acoustic Monitoring ◽  
Acoustic Data ◽  
Soundscape Ecology ◽  
Ambient Sound ◽  
Passive Acoustic

Soundscape ecology is a rapidly growing field with approximately 93% of all scientific articles on this topic having been published since 2010 (total about 610 publications since 1985). Current acoustic technology is also advancing rapidly, enabling new devices with voluminous data storage and automatic signal detection to define sounds. Future uses of passive acoustic monitoring (PAM) include biodiversity assessments, monitoring habitat health, and locating spawning fishes. This paper provides a review of ambient sound and soundscape ecology, fish acoustic monitoring, current recording and sampling methods used in long-term PAM, and parameters/metrics used in acoustic data analysis.

scholarly journals PERSIANN-CCS-CDR, a 3-hourly 0.04° global precipitation climate data record for heavy precipitation studies

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Mojtaba Sadeghi ◽  
Phu Nguyen ◽  
Matin Rahnamay Naeini ◽  
Kuolin Hsu ◽  
Dan Braithwaite ◽  
...  
Keyword(s):  
Spatial Resolution ◽  
Heavy Precipitation ◽  
Climate Data ◽  
Spatiotemporal Resolution ◽  
Data Record ◽  
Precipitation Estimation ◽  
Precipitation Estimates ◽  
Global Precipitation ◽  
Climate Data Record

AbstractAccurate long-term global precipitation estimates, especially for heavy precipitation rates, at fine spatial and temporal resolutions is vital for a wide variety of climatological studies. Most of the available operational precipitation estimation datasets provide either high spatial resolution with short-term duration estimates or lower spatial resolution with long-term duration estimates. Furthermore, previous research has stressed that most of the available satellite-based precipitation products show poor performance for capturing extreme events at high temporal resolution. Therefore, there is a need for a precipitation product that reliably detects heavy precipitation rates with fine spatiotemporal resolution and a longer period of record. Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks-Cloud Classification System-Climate Data Record (PERSIANN-CCS-CDR) is designed to address these limitations. This dataset provides precipitation estimates at 0.04° spatial and 3-hourly temporal resolutions from 1983 to present over the global domain of 60°S to 60°N. Evaluations of PERSIANN-CCS-CDR and PERSIANN-CDR against gauge and radar observations show the better performance of PERSIANN-CCS-CDR in representing the spatiotemporal resolution, magnitude, and spatial distribution patterns of precipitation, especially for extreme events.

Inbreeding, migration, and structure of the pedigree Large White pig population in Australia

1965 ◽  
Vol 5 (18) ◽  
pp. 270 ◽  
Author(s):  
CP McPhee
Keyword(s):  
Sampling Methods ◽  
Strain Development ◽  
Genetic Progress ◽  
Large White ◽  
Breeding Stock ◽  
Frequent Exchange ◽  
Breeding Techniques ◽  
Large White Pig

Inbreeding, migration and structure of the pedigree Large White pig population in Australia were investigated by pedigree sampling methods. Inbreeding since 1905 of pigs registered in 1960 was 7.5 per cent. This comprised 1.0 per cent current and 6.5 per cent long term inbreeding. Strain development was indicated by an index of subdivision of 6.88. The most important ancestors, the sow 'Rossmoyne Duchess 31st' and the boar 'Lea Avon Jerry' had direct relationships to the 1960 population of 12 per cent and 8 per cent respectively. Migration of breeding stock within Australia was restricted. Breeders sought further afield for boars than for sows. Queensland and Victoria were favoured sources of breeding stock. Through four generations of ancestors, eight major herds contributed 83.07 per cent of the genes for the 1960 registrations, the most important herd contributing 14.54 per cent. The structure of the breed was represented by four strata of a hierarchy. Herds in all strata were widely distributed and obtained most of their sires from herds in the top stratum. The identities and relative positions of herds in the top stratum are indicated. There was a frequent exchange of stock between herds in the same locality. Most herds fluctuated in importance and were short lived, 61 per cent operating for fewer than five years. The need for the use of scientific breeding techniques is stressed, particularly for breeders with herds in the top stratum since they determine genetic progress in the breed.

Long-term passive acoustic monitoring of nearshore ecosystems in the Northwestern Hawaiian Islands

2011 ◽  
Vol 130 (4) ◽  
pp. 2536-2536
Author(s):  
Marc O. Lammers ◽  
Lisa Munger ◽  
Pollyanna Fisher Pool ◽  
Kevin Wong ◽  
Whitlow W. L. Au ◽  
...  
Keyword(s):  
Hawaiian Islands ◽  
Acoustic Monitoring ◽  
Passive Acoustic Monitoring ◽  
Nearshore Ecosystems ◽  
Northwestern Hawaiian Islands ◽  
Passive Acoustic

scholarly journals Acoustic monitoring of coastal dolphins and their response to naval mine neutralization exercises

2017 ◽  
Vol 4 (12) ◽  
pp. 170558 ◽  
Author(s):  
Marc O. Lammers ◽  
Marian Howe ◽  
Eden Zang ◽  
Megan McElligott ◽  
Amy Engelhaupt ◽  
...  
Keyword(s):  
Additive Model ◽  
Acoustic Monitoring ◽  
Acoustic Activity ◽  
Virginia Beach ◽  
Monitoring Study ◽  
Before And After ◽  
The Hours ◽  
Training Event ◽  
Passive Acoustic

To investigate the potential impacts of naval mine neutralization exercises (MINEX) on odontocete cetaceans, a long-term passive acoustic monitoring study was conducted at a US Navy training range near Virginia Beach, USA. Bottom-moored acoustic recorders were deployed in 2012–2016 near the epicentre of MINEX training activity and were refurbished every 2–4 months. Recordings were analysed for the daily presence/absence of dolphins, and dolphin acoustic activity was quantified in detail for the hours and days before and after 31 MINEX training events. Dolphins occurred in the area year-round, but there was clear seasonal variability, with lower presence during winter months. Dolphins exhibited a behavioural response to underwater detonations. Dolphin acoustic activity near the training location was lower during the hours and days following detonations, suggesting that animals left the area and/or reduced their signalling. Concurrent acoustic monitoring farther away from the training area suggested that the radius of response was between 3 and 6 km. A generalized additive model indicated that the predictors that explained the greatest amount of deviance in the data were the day relative to the training event, the hour of the day and circumstances specific to each training event.

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