151
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Williams BR, McAfee D, Connell SD. Repairing recruitment processes with sound technology to accelerate habitat restoration. ECOLOGICAL APPLICATIONS : A PUBLICATION OF THE ECOLOGICAL SOCIETY OF AMERICA 2021; 31:e02386. [PMID: 34128289 DOI: 10.1002/eap.2386] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/18/2020] [Revised: 03/30/2021] [Accepted: 04/21/2021] [Indexed: 06/12/2023]
Abstract
Humanity's ambitions to revive ecosystems at large scales require solutions to move restoration efforts beyond the small scale. There are increasing calls for technological solutions to reduce costs and facilitate large-scale restoration through the use of emerging technologies using an adaptive process of research and development. We show how technological enrichment of marine soundscapes may provide a solution that repairs the recruitment process to accelerate the recovery of lost marine habitats. This solution would solve the problems of current practice that largely relies upon natural recruitment processes, which carries considerable risk where recruitment is variable or eroded. By combining the literature with laboratory experiments, we describe evidence for "highways of sound" that convey navigable information for dispersing life stages in search for adult habitat. We show that these navigational cues tend to be silenced as their habitat is lost, creating negative feedbacks that hinders restoration. We suggest that reprovisioning soundscapes using underwater technology offers the potential to reverse this feedback and entice target organisms to recruit in greater densities. Collective evidence indicates that the application of soundscape theory and technology may unlock the recruitment potential needed to trigger the recruitment of target organisms and the natural soundscapes they create at large scales.
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Affiliation(s)
- Brittany R Williams
- Southern Seas Ecology Laboratories, The Environment Institute, School of Biological Sciences, The University of Adelaide, Adelaide, South Australia, 5005, Australia
| | - Dominic McAfee
- Southern Seas Ecology Laboratories, The Environment Institute, School of Biological Sciences, The University of Adelaide, Adelaide, South Australia, 5005, Australia
| | - Sean D Connell
- Southern Seas Ecology Laboratories, The Environment Institute, School of Biological Sciences, The University of Adelaide, Adelaide, South Australia, 5005, Australia
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152
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Keen KA, Beltran RS, Pirotta E, Costa DP. Emerging themes in Population Consequences of Disturbance models. Proc Biol Sci 2021; 288:20210325. [PMID: 34428966 PMCID: PMC8385386 DOI: 10.1098/rspb.2021.0325] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2021] [Accepted: 07/29/2021] [Indexed: 12/21/2022] Open
Abstract
Assessing the non-lethal effects of disturbance from human activities is necessary for wildlife conservation and management. However, linking short-term responses to long-term impacts on individuals and populations is a significant hurdle for evaluating the risks of a proposed activity. The Population Consequences of Disturbance (PCoD) framework conceptually describes how disturbance can lead to changes in population dynamics, and its real-world application has led to a suite of quantitative models that can inform risk assessments. Here, we review PCoD models that forecast the possible consequences of a range of disturbance scenarios for marine mammals. In so doing, we identify common themes and highlight general principles to consider when assessing risk. We find that, when considered holistically, these models provide valuable insights into which contextual factors influence a population's degree of exposure and sensitivity to disturbance. We also discuss model assumptions and limitations, identify data gaps and suggest future research directions to enable PCoD models to better inform risk assessments and conservation and management decisions. The general principles explored can help wildlife managers and practitioners identify and prioritize the populations most vulnerable to disturbance and guide industry in planning activities that avoid or mitigate population-level effects.
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Affiliation(s)
- Kelly A. Keen
- Department of Ecology and Evolutionary Biology, University of California, Santa Cruz, CA, USA
| | - Roxanne S. Beltran
- Department of Ecology and Evolutionary Biology, University of California, Santa Cruz, CA, USA
| | - Enrico Pirotta
- Centre for Research into Ecological and Environmental Modelling, University of St Andrews, UK
- School of Biological, Earth, and Environmental Sciences, University College Cork, Cork, Ireland
| | - Daniel P. Costa
- Department of Ecology and Evolutionary Biology, University of California, Santa Cruz, CA, USA
- Institute of Marine Sciences, University of California, Santa Cruz, CA, USA
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153
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Czapanskiy MF, Savoca MS, Gough WT, Segre PS, Wisniewska DM, Cade DE, Goldbogen JA. Modelling short‐term energetic costs of sonar disturbance to cetaceans using high‐resolution foraging data. J Appl Ecol 2021. [DOI: 10.1111/1365-2664.13903] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Max F. Czapanskiy
- Hopkins Marine Station Department of Biology Stanford University Pacific Grove CA USA
| | - Matthew S. Savoca
- Hopkins Marine Station Department of Biology Stanford University Pacific Grove CA USA
| | - William T. Gough
- Hopkins Marine Station Department of Biology Stanford University Pacific Grove CA USA
| | - Paolo S. Segre
- Hopkins Marine Station Department of Biology Stanford University Pacific Grove CA USA
| | - Danuta M. Wisniewska
- Hopkins Marine Station Department of Biology Stanford University Pacific Grove CA USA
- Centre d'Etudes Biologiques de Chizé CNRS‐Université de La Rochelle Villiers‐en‐Bois France
| | - David E. Cade
- Hopkins Marine Station Department of Biology Stanford University Pacific Grove CA USA
- Institute of Marine Sciences University of California Santa Cruz CA USA
| | - Jeremy A. Goldbogen
- Hopkins Marine Station Department of Biology Stanford University Pacific Grove CA USA
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154
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A Review and Meta-Analysis of Underwater Noise Radiated by Small (<25 m Length) Vessels. JOURNAL OF MARINE SCIENCE AND ENGINEERING 2021. [DOI: 10.3390/jmse9080827] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Managing the impacts of vessel noise on marine fauna requires identifying vessel numbers, movement, behaviour, and acoustic signatures. However, coastal and inland waters are predominantly used by ‘small’ (<25 m-long) vessels, for which there is a paucity of data on acoustic output. We reviewed published literature to construct a dataset (1719 datapoints) of broadband source levels (SLs) from 17 studies, for 11 ‘Vessel Types’. After consolidating recordings that had associated information on factors that may affect SL estimates, data from seven studies remained (1355 datapoints) for statistical modelling. We applied a Generalized Additive Mixed Model to assess factors (six continuous and five categorical predictor variables) contributing to reported SLs for four Vessel Types. Estimated SLs increased through ‘Electric’, ‘Skiff’, ‘Sailing’, ‘Monohull’, ‘RHIB’, ‘Catamaran’, ‘Fishing’, ‘Landing Craft’,’ Tug’, ‘Military’ to ‘Cargo’ Vessel Types, ranging between 130 and 195 dB re 1µPa m across all Vessel Types and >29 dB range within individual Vessel Types. The most parsimonious model (22.7% deviance explained) included ‘Speed’ and ‘Closest Point of Approach’ (CPA) which displayed non-linear, though generally positive, relationships with SL. Similar to large vessels, regulation of speed can reduce SLs and vessel noise impacts (with consideration for additional exposure time from travelling at slower speeds). However, the relationship between speed and SLs in planing hull and semi-displacement vessels can be non-linear. The effect of CPA on estimated SL is likely a combination of propagation losses in the shallow study locations, often-neglected surface interactions, different methodologies, and that the louder Vessel Types were often recorded at greater CPAs. Significant effort is still required to fully understand SL variability, however, the International Standards Organisation’s highest reporting criteria for SLs requires water depths that often only occur offshore, beyond the safe operating range of small vessels. Additionally, accurate determination of monopole SLs in shallow water is complicated, requiring significant geophysical information along the signal path. We suggest the development of appropriate shallow-water criteria to complete these measurements using affected SLs and a comprehensive study including comparable deep- and shallow-water measures.
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155
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Halliday WD, Barclay D, Barkley AN, Cook E, Dawson J, Hilliard RC, Hussey NE, Jones JM, Juanes F, Marcoux M, Niemi A, Nudds S, Pine MK, Richards C, Scharffenberg K, Westdal K, Insley SJ. Underwater sound levels in the Canadian Arctic, 2014-2019. MARINE POLLUTION BULLETIN 2021; 168:112437. [PMID: 33957495 DOI: 10.1016/j.marpolbul.2021.112437] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/02/2020] [Revised: 04/23/2021] [Accepted: 04/26/2021] [Indexed: 06/12/2023]
Abstract
The Arctic has been a refuge from anthropogenic underwater noise; however, climate change has caused summer sea ice to diminish, allowing for unprecedented access and the potential for increased underwater noise. Baseline underwater sound levels must be quantified to monitor future changes and manage underwater noise in the Arctic. We analyzed 39 passive acoustic datasets collected throughout the Canadian Arctic from 2014 to 2019 using statistical models to examine spatial and temporal trends in daily mean sound pressure levels (SPL) and quantify environmental and anthropogenic drivers of SPL. SPL (50-1000 Hz) ranged from 70 to 127 dB re 1 μPa (median = 91 dB). SPL increased as wind speed increased, but decreased as both ice concentration and air temperature increased, and SPL increased as the number of ships per day increased. This study provides a baseline for underwater sound levels in the Canadian Arctic and fills many geographic gaps on published underwater sound levels.
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Affiliation(s)
- William D Halliday
- Wildlife Conservation Society Canada, Whitehorse, Yukon, Canada; School of Earth and Ocean Sciences, University of Victoria, Victoria, British Columbia, Canada; Department of Biology, University of Victoria, Victoria, British Columbia, Canada.
| | - David Barclay
- Department of Oceanography, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Amanda N Barkley
- Department of Integrative Biology, University of Windsor, Windsor, Ontario, Canada
| | - Emmanuelle Cook
- Department of Oceanography, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Jackie Dawson
- Department of Geography, Environment and Geomatics, University of Ottawa, Ottawa, Ontario, Canada
| | - R Casey Hilliard
- Institute for Big Data Analytics, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Nigel E Hussey
- Department of Integrative Biology, University of Windsor, Windsor, Ontario, Canada
| | - Joshua M Jones
- Scripps Institution of Oceanography, University of California San Diego, La Jolla, CA, USA
| | - Francis Juanes
- Department of Biology, University of Victoria, Victoria, British Columbia, Canada
| | - Marianne Marcoux
- Freshwater Institute, Fisheries and Oceans Canada, Winnipeg, Manitoba, Canada
| | - Andrea Niemi
- Freshwater Institute, Fisheries and Oceans Canada, Winnipeg, Manitoba, Canada
| | - Shannon Nudds
- Bedford Institute of Oceanography, Fisheries and Oceans Canada, Dartmouth, Nova Scotia, Canada
| | - Matthew K Pine
- Wildlife Conservation Society Canada, Whitehorse, Yukon, Canada; Department of Biology, University of Victoria, Victoria, British Columbia, Canada
| | - Clark Richards
- Bedford Institute of Oceanography, Fisheries and Oceans Canada, Dartmouth, Nova Scotia, Canada
| | - Kevin Scharffenberg
- Freshwater Institute, Fisheries and Oceans Canada, Winnipeg, Manitoba, Canada
| | | | - Stephen J Insley
- Wildlife Conservation Society Canada, Whitehorse, Yukon, Canada; Department of Biology, University of Victoria, Victoria, British Columbia, Canada
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156
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Braga Goncalves I, Richmond E, Harding HR, Radford AN. Impacts of additional noise on the social interactions of a cooperatively breeding fish. ROYAL SOCIETY OPEN SCIENCE 2021; 8:210982. [PMID: 34350024 PMCID: PMC8316797 DOI: 10.1098/rsos.210982] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/04/2021] [Accepted: 07/06/2021] [Indexed: 05/10/2023]
Abstract
Anthropogenic noise is a global pollutant known to affect the behaviour of individual animals in all taxa studied. However, there has been relatively little experimental testing of the effects of additional noise on social interactions between conspecifics, despite these forming a crucial aspect of daily life for most species. Here, we use established paradigms to investigate how white-noise playback affects both group defensive actions against an intruder and associated within-group behaviours in a model fish species, the cooperatively breeding cichlid Neolamprologus pulcher. Additional noise did not alter defensive behaviour, but did result in changes to within-group behaviour. Both dominant and subordinate females, but not the dominant male, exhibited less affiliation and showed a tendency to produce more submissive displays to groupmates when there was additional noise compared with control conditions. Thus, our experimental results indicate the potential for anthropogenic noise to affect social interactions between conspecifics and emphasize the possibility of intraspecific variation in the impacts of this global pollutant.
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Affiliation(s)
- Ines Braga Goncalves
- School of Biological Sciences, University of Bristol, 24 Tyndall Avenue, Bristol BS8 1TQ, UK
| | - Emily Richmond
- School of Biological Sciences, University of Bristol, 24 Tyndall Avenue, Bristol BS8 1TQ, UK
| | - Harry R. Harding
- School of Biological Sciences, University of Bristol, 24 Tyndall Avenue, Bristol BS8 1TQ, UK
| | - Andrew N. Radford
- School of Biological Sciences, University of Bristol, 24 Tyndall Avenue, Bristol BS8 1TQ, UK
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157
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Acoustic Pressure, Particle Motion, and Induced Ground Motion Signals from a Commercial Seismic Survey Array and Potential Implications for Environmental Monitoring. JOURNAL OF MARINE SCIENCE AND ENGINEERING 2021. [DOI: 10.3390/jmse9060571] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
An experimental marine seismic source survey off the northwest Australian coast operated a 2600 cubic inch (41.6 l) airgun array, every 5.88 s, along six lines at a northern site and eight lines at a southern site. The airgun array was discharged 27,770 times with 128,313 pressure signals, 38,907 three-axis particle motion signals, and 17,832 ground motion signals recorded. Pressure and ground motion were accurately measured at horizontal ranges from 12 m. Particle motion signals saturated out to 1500 m horizontal range (50% of signals saturated at 230 and 590 m at the northern and southern sites, respectively). For unsaturated signals, sound exposure levels (SEL) correlated with measures of sound pressure level and water particle acceleration (r2= 0.88 to 0.95 at northern site and 0.97 at southern) and ground acceleration (r2= 0.60 and 0.87, northern and southern sites, respectively). The effective array source level was modelled at 247 dB re 1µPa m peak-to-peak, 231 dB re 1 µPa2 m mean-square, and 228 dB re 1 µPa2∙m2 s SEL at 15° below the horizontal. Propagation loss ranged from −29 to −30log10 (range) at the northern site and −29 to −38log10(range) at the southern site, for pressure measures. These high propagation losses are due to near-surface limestone in the seabed of the North West Shelf.
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158
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Weinans E, Quax R, van Nes EH, Leemput IAVD. Evaluating the performance of multivariate indicators of resilience loss. Sci Rep 2021; 11:9148. [PMID: 33911086 PMCID: PMC8080839 DOI: 10.1038/s41598-021-87839-y] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2021] [Accepted: 04/01/2021] [Indexed: 11/09/2022] Open
Abstract
Various complex systems, such as the climate, ecosystems, and physical and mental health can show large shifts in response to small changes in their environment. These 'tipping points' are notoriously hard to predict based on trends. However, in the past 20 years several indicators pointing to a loss of resilience have been developed. These indicators use fluctuations in time series to detect critical slowing down preceding a tipping point. Most of the existing indicators are based on models of one-dimensional systems. However, complex systems generally consist of multiple interacting entities. Moreover, because of technological developments and wearables, multivariate time series are becoming increasingly available in different fields of science. In order to apply the framework of resilience indicators to multivariate time series, various extensions have been proposed. Not all multivariate indicators have been tested for the same types of systems and therefore a systematic comparison between the methods is lacking. Here, we evaluate the performance of the different multivariate indicators of resilience loss in different scenarios. We show that there is not one method outperforming the others. Instead, which method is best to use depends on the type of scenario the system is subject to. We propose a set of guidelines to help future users choose which multivariate indicator of resilience is best to use for their particular system.
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Affiliation(s)
- Els Weinans
- Department of Environmental Sciences, Wageningen University, Wageningen, The Netherlands.
| | - Rick Quax
- Computational Science, University of Amsterdam, Amsterdam, The Netherlands
| | - Egbert H van Nes
- Department of Environmental Sciences, Wageningen University, Wageningen, The Netherlands
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159
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Mortensen LO, Chudzinska ME, Slabbekoorn H, Thomsen F. Agent‐based models to investigate sound impact on marine animals: bridging the gap between effects on individual behaviour and population level consequences. OIKOS 2021. [DOI: 10.1111/oik.08078] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Affiliation(s)
| | | | - Hans Slabbekoorn
- Inst. of Biology Leiden, Leiden Univ. Leiden Zuid‐Holland the Netherlands
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160
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Forti LR, Rossi-Santos MR, Nunes JACC. Assess before changing Brazil's shipping policy. Science 2021; 372:139. [PMID: 33833115 DOI: 10.1126/science.abh3608] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022]
Affiliation(s)
| | - Marcos R Rossi-Santos
- Universidade Federal do Recôncavo da Bahia, Cruz das Almas, BA 44380-000, Brazil.,Centre for Marine Science and Technology, Curtin University, Bentley, WA 6102, Australia
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161
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A state-space model to derive motorboat noise effects on fish movement from acoustic tracking data. Sci Rep 2021; 11:4765. [PMID: 33637805 PMCID: PMC7910575 DOI: 10.1038/s41598-021-84261-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2020] [Accepted: 02/15/2021] [Indexed: 01/31/2023] Open
Abstract
Motorboat noise is recognized as a major source of marine pollution, however little is known about its ecological consequences on coastal systems. We developed a State Space Model (SSM) that incorporates an explicit dependency on motorboat noise to derive its effects on the movement of resident fish that transition between two behavioural states (swimming vs. hidden). To explore the performance of our model, we carried out an experiment where free-living Serranus scriba were tracked with acoustic tags, while motorboat noise was simultaneously recorded. We fitted the generated tracking and noise data into our SSM and explored if the noise generated by motorboats passing at close range affected the movement pattern and the probability of transition between the two states using a Bayesian approach. Our results suggest high among individual variability in movement patterns and transition between states, as well as in fish response to the presence of passing motorboats. These findings suggest that the effects of motorboat noise on fish movement are complex and require the precise monitoring of large numbers of individuals. Our SSM provides a methodology to address such complexity and can be used for future investigations to study the effects of noise pollution on marine fish.
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162
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Dietz S, Beazley KF, Lemieux CJ, St. Clair C, Coristine L, Higgs E, Smith R, Pellatt M, Beaty C, Cheskey E, Cooke SJ, Crawford L, Davis R, Forbes G, Gadallah F(Z, Kendall P, Mandrak N, Moola F, Parker S, Quayle J, Ray JC, Richardson K, Smith K, Snider J, Smol JP, Sutherland WJ, Vallillee A, White L, Woodley A. Emerging issues for protected and conserved areas in Canada. Facets (Ott) 2021. [DOI: 10.1139/facets-2021-0072] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
Horizon scanning is increasingly used in conservation to systematically explore emerging policy and management issues. We present the results of a horizon scan of issues likely to impact management of Canadian protected and conserved areas over the next 5–10 years. Eighty-eight individuals participated, representing a broad community of academics, government and nongovernment organizations, and foundations, including policymakers and managers of protected and conserved areas. This community initially identified 187 issues, which were subsequently triaged to 15 horizon issues by a group of 33 experts using a modified Delphi technique. Results were organized under four broad categories: ( i) emerging effects of climate change in protected and conserved areas design, planning, and management (i.e., large-scale ecosystem changes, species translocation, fire regimes, ecological integrity, and snow patterns); ( ii) Indigenous governance and knowledge systems (i.e., Indigenous governance and Indigenous knowledge and Western science); ( iii) integrated conservation approaches across landscapes and seascapes (i.e., connectivity conservation, integrating ecosystem values and services, freshwater planning); and ( iv) early responses to emerging cumulative, underestimated, and novel threats (i.e., management of cumulative impacts, declining insect biomass, increasing anthropogenic noise, synthetic biology). Overall, the scan identified several emerging issues that require immediate attention to effectively reduce threats, respond to opportunities, and enhance preparedness and capacity to react.
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Affiliation(s)
- Sabine Dietz
- Ecosystem Science Laboratory, Office of the Chief Ecosystem Scientist, Protected Areas Establishment and Conservation Directorate, Parks Canada Agency, Gatineau QC J8X 0B3, Canada
| | - Karen F. Beazley
- School for Resource and Environmental Studies, Dalhousie University, Halifax, NS B3H 4R2, Canada
| | - Christopher J. Lemieux
- Department of Geography and Environmental Studies, Wilfrid Laurier University, Waterloo, Ontario, N2L 3C5, Canada
| | - Colleen St. Clair
- Biological Sciences, University of Alberta, Edmonton, AB, T6G 2E9, Canada
| | - Laura Coristine
- Environment and Climate Change Canada, Canadian Wildlife Service, Gatineau, QC, K1A 0H3, Canada
| | - Eric Higgs
- School of Environmental Studies, University of Victoria, Victoria, BC V8W 2Y2, Canada
| | - Risa Smith
- International Union for the Conservation of Nature/World Commission on Protected Areas
| | - Marlow Pellatt
- Ecosystem Science Laboratory, Office of the Chief Ecosystem Scientist, Protected Areas Establishment and Conservation Directorate, Parks Canada Agency, Gatineau QC J8X 0B3, Canada
| | | | | | - Steven J. Cooke
- Institute for Environmental and Interdisciplinary Sciences and Department of Biology, Carleton University, Ottawa, ON K1S 5B6, Canada
| | - Lindsay Crawford
- Environment and Climate Change Canada, Gatineau, QC K1A 0H3, Canada
| | - Rob Davis
- Ontario Parks, Ministry of the Environment, Conservation and Parks, Peterborough, ON K9J 8M5, Canada
| | - Graham Forbes
- University of New Brunswick, Fredericton, NB E3B 5A3, Canada
| | - Fawziah (ZuZu) Gadallah
- Environment and Climate Change Canada, Canadian Wildlife Service, Gatineau, QC, K1A 0H3, Canada
| | | | - Nick Mandrak
- Department of Biological Sciences, University of Toronto Scarborough, Toronto, ON, M1C 1A4, Canada
| | - Faisal Moola
- Geography, Environment & Geomatics, University of Guelph, Guelph, ON, N1G 2W1, Canada
| | - Scott Parker
- Protected Areas Establishment and Conservation Directorate, Parks Canada Agency, Gatineau QC J8X 0B3, Canada
| | | | - Justina C. Ray
- Wildlife Conservation Society Canada, Toronto, ON M5S 3A7, Canada
| | - Karen Richardson
- Ecosystem Science Laboratory, Office of the Chief Ecosystem Scientist, Protected Areas Establishment and Conservation Directorate, Parks Canada Agency, Gatineau QC J8X 0B3, Canada
| | - Kevin Smith
- Ducks Unlimited Canada, Edmonton, AB T5S 0A2, Canada
| | - James Snider
- World Wildlife Fund Canada, Toronto, ON M5V 1S8, Canada
| | - John P. Smol
- Paleoecological Environmental Assessment and Research Lab (PEARL), Department of Biology, Queen’s University, Kingston, ON K7L 3N6, Canada
| | - William J Sutherland
- Department of Zoology, University of Cambridge, Cambridge CB2 3EJ, UK; Biosecurity Research Initiative at St Catharine’s, St Catharine’s College, Cambridge CB2 1RL, UK
| | | | - Lori White
- Environment and Climate Change Canada, Gatineau, QC K1A 0H3, Canada
| | - Alison Woodley
- Canadian Parks and Wilderness Society, Ottawa, ON K2P 0A4, Canada
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163
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Darras KF, Pérez N, - M, Dilong L, Hanf-Dressler T, Markolf M, Wanger TC. ecoSound-web: an open-source, online platform for ecoacoustics. F1000Res 2020; 9:1224. [PMID: 33274051 PMCID: PMC7682500 DOI: 10.12688/f1000research.26369.2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 02/10/2023] [Indexed: 03/04/2023] Open
Abstract
Passive acoustic monitoring of soundscapes and biodiversity produces vast amounts of audio recordings, but the management and analyses of these raw data present technical challenges. A multitude of software solutions exist, but none can fulfil all purposes required for the management, processing, navigation, analysis, and dissemination of acoustic data. The field of ecoacoustics needs a software tool that is free, evolving, and accessible. We take a step in that direction and present ecoSound-web: an open-source, online platform for ecoacoustics designed and built by ecologists and software engineers. ecoSound-web can be used for storing, organising, and sharing soundscape projects, manually creating and peer-reviewing annotations of soniferous animals and phonies, analysing audio in time and frequency, computing alpha acoustic indices, and providing reference sound libraries for different taxa. We present ecoSound-web's features, structure, and compare it with similar software. We describe its operation mode and the workflow for typical use cases such as the sampling of bird and bat communities, the use of a primate call library, and the analysis of phonies and acoustic indices. ecoSound-web is available from: https://github.com/ecomontec/ecoSound-web.
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Affiliation(s)
- Kevin F.A. Darras
- Computational Landscape Ecology, TU Dresden, Dresden, Sachsen, 01737, Germany
- Agroecology, University of Göttingen, Göttingen, Niedersachsen, 37077, Germany
- Sustainable Agricultural Systems & Engineering Laboratory, School of Engineering, Westlake University, Hangzhou, 310030, China
| | - Noemí Pérez
- Agroecology, University of Göttingen, Göttingen, Niedersachsen, 37077, Germany
| | - Mauladi -
- Department of Information Systems, Universitas Jambi, Jambi, Jambi, 36122, Indonesia
| | - Liu Dilong
- Quality Technology Centre, Nanjing Julong Steel Pipe Co., Ltd., Nanjing, 211800,, China
| | - Tara Hanf-Dressler
- Agroecology, University of Göttingen, Göttingen, Niedersachsen, 37077, Germany
| | - Matthias Markolf
- Behavioral Ecology & Sociobiology Unit, German Primate Centre,, Göttingen, Niedersachsen, 37077, Germany
| | - Thomas C Wanger
- Sustainable Agricultural Systems & Engineering Laboratory, School of Engineering, Westlake University, Hangzhou, 310030, China
- Key Laboratory of Coastal Environment and Resources of Zhejiang Province, Westlake University, Hangzhou, China
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