Influence of dense macrophyte vegetation and total gas saturation on the performance of acoustic telemetry

Animal Biotelemetry - Tập 10 - Trang 1-14 - 2022
Kirstine Thiemer1,2, Robert J. Lennox3,4, Thrond Oddvar Haugen2
1Section for Freshwater Ecology, Norwegian Institute for Water Research, Oslo, Norway
2Faculty of Environmental Sciences and Nature Conservations, Norwegian University of Life Sciences, Ås, Norway
3Laboratory for Freshwater Ecology and Inland Fisheries, Norwegian Research Centre AS, Bergen, Norway
4Salmonid Fishes, Norwegian Institute for Nature Research, Trondheim, Norway

Tóm tắt

Acoustic telemetry is widely used as a method for high resolution monitoring of aquatic animal movement to investigate relationships between individual animals and their environment. In shallow freshwater ecosystem, aquatic macrophytes are common and their presence increases habitat complexity and baffles sound propagation. These properties may be likely to affect the performance of acoustic telemetry, however, to date this issue has received little attention, when studying the ecology of movements of fishes in and around the important macrophyte habitats. Here, we conducted a range-test study in a freshwater riverine ecosystem, with mass development of the aquatic macrophyte Juncus bulbosus (L.), to assess how dense macrophytes impact detection probability, detection range, and performance of a three-dimensional receiver positioning system. Supersaturation of gas frequently occurs at the study site as a by-product of upstream hydroelectric power generation and gave a unique opportunity to investigate how total gas saturation affects the performance of acoustic telemetry. We also investigated the influence of environmental conditions (i.e., day-of-year, time of day, average water level above J. bulbosus) on detection probability together with vertical position of transmitters and location inside or outside macrophytes. The detection probability and range were generally low for transmitters in and outside J. bulbosus stands, with mean hourly detection probabilities ranging from 1.18 to 5% and detection ranges between 17.26 m ± 0.74. The interaction between total macrophyte biomass and distance to receiver reduced the detection probability and detection range substantially. Detection probability further decreased with increasing total gas saturation, and transmitters positioned near the sediment and close to the surface also had lower detection probabilities compared to receivers in the middle of the water column. Finally, the low detection probability affected position estimates, where only 23% of the detections could be positioned using the average positioning estimation method and positional accuracy and precision were low ranging from 1.48 to 164.8 m and 0 to 50.1 m, respectively. Our findings demonstrate the impact of macrophytes and total gas saturation on detection probability and range of acoustic transmitters in a shallow ecosystem, where tagged fish are unlikely to be detected by receivers or positioned. These results emphasise that in situ range testing is strongly needed before determining the density and design of receiver array when performing acoustic telemetry studies in shallow ecosystems.

Tài liệu tham khảo

Andrews KS, Tolimieri N, Williams GD, Samhouri JF, Harvey CJ, Levin PS. Comparison of fine-scale acoustic monitoring systems using home range size of a demersal fish. Mar Biol. 2011;158:2377–87. https://doi.org/10.1007/s00227-011-1724-5. Bal K, Struyf E, Vereecken H, Viaene P, De Doncker L, de Deckere E, Mostaert F, Meire P. How do macrophyte distribution patterns affect hydraulic resistances? Ecol Eng. 2011;37:529–33. https://doi.org/10.1016/j.ecoleng.2010.12.018. Cagua EF, Berumen M, Tyler EHM. Topography and biological noise determine acoustic detectability on coral reefs. Coral Reefs. 2013. https://doi.org/10.1007/s00338-013-1069-2. Dance MA, Moulton DL, Furey NB, Rooker JR. Does transmitter placement or species affect detection efficiency of tagged animals in biotelemetry research? Fish Res. 2016;183:80–5. https://doi.org/10.1016/j.fishres.2016.05.009. Freeman SE, Freeman LA, Giorli G, Haas AF. Photosynthesis by marine algae produces sound, contributing to the daytime soundscape on coral reefs. PLoS ONE. 2018;13: e0201766. https://doi.org/10.1371/journal.pone.0201766. Gjelland KØ, Hedger RD. Environmental influence on transmitter detection probability in biotelemetry: developing a general model of acoustic transmission. Methods Ecol Evol. 2013;4:665–74. https://doi.org/10.1111/2041-210X.12057. Heupel MR, Semmens JM, Hobday AJ. Automated acoustic tracking of aquatic animals: scales, design and deployment of listening station arrays. Mar Freshw Res. 2006;57:1–13. https://doi.org/10.1071/MF05091. Hightower JE, Jackson JR, Pollock KH. Use of telemetry methods to estimate natural and fishing mortality of striped bass in Lake Gaston, North Carolina. Trans Am Fish Soc. 2001;130:557–67. https://doi.org/10.1577/1548-8659(2001)130%3c0557:UOTMTE%3e2.0.CO;2. Holmes RJ, Hayes JW, Closs GP, Beech M, Jary M, Matthaei CD. Mechanically reshaping stream banks alters fish community composition. River Res Appl. 2019;35:247–58. https://doi.org/10.1002/rra.3407. Hussey NE, Kessel ST, Aarestrup K, Cooke SJ, Cowley PD, Fisk AT, Harcourt RG, Holland KN, Iverson SJ, Kocik JF, Mills Flemming JE, Whoriskey FG. ECOLOGY Aquatic animal telemetry: A panoramic window into the underwater world. Science. 2015;348:1255642. https://doi.org/10.1126/science.1255642. Huveneers C, Simpfendorfer CA, Kim S, Semmens JM, Hobday AJ, Pederson H, Stieglitz T, Vallee R, Webber D, Heupel MR, Peddemors V, Harcourt RG. The influence of environmental parameters on the performance and detection range of acoustic receivers. Methods Ecol Evol. 2016;7:825–35. https://doi.org/10.1111/2041-210X.12520. Jeppesen E, Søndergaard M, Søndergaard M, Christoffersen K. The structuring Role of Macrophytes in Lakes. Ecological Studies: Springer; 1998. Kessel ST, Cooke SJ, Heupel MR, Hussey NE, Simpfendorfer CA, Vagle S, Fisk AT. A review of detection range testing in aquatic passive acoustic telemetry studies. Rev Fish Biol Fish. 2014;24:199–218. https://doi.org/10.1007/s11160-013-9328-4. Lee KM, Ballard MS, Venegas GR, Sagers JD, McNeese AR, Johnson JR, Wilson PS, Rahman AF. Broadband sound propagation in a seagrass meadow throughout a diurnal cycle. J Acoust Soc Am. 2019;146:335–41. https://doi.org/10.1121/1.5127737. Lennox RJ, Thiemer K, Vollset KW, Pulg U, Stranzl S, Nilsen CI, Haugen TO, Velle G. Behavioural response of brown trout (Salmo trutta) to total dissolved gas supersaturation in a regulated river. Ecohydrology. 2021. https://doi.org/10.1002/eco.2363. Lusardi RA, Jeffres CA, Moyle PB. Stream macrophytes increase invertebrate production and fish habitat utilization in a California stream. River Res Appl. 2018;34:1003–12. https://doi.org/10.1002/rra.3331. Medwin H, Clay CS. Fundamentals of acoustical oceanography. Elsevier Science; 1998. Olmedo OE. kriging: Ordinary Kriging. 2014. Payne N, Gillanders BM, Webber DM, Semmens JM. Interpreting diel activity patterns from acoustic telemetry: the need for controls. Mar Ecol Prog Ser. 2010;419:295–301. https://doi.org/10.3354/meps08864. Pleizier NK, Nelson C, Cooke SJ, Brauner CJ. Understanding gas bubble trauma in an era of hydropower expansion: how do fish compensate at depth? Can J Fish Aquat Sci. 2020. https://doi.org/10.1139/cjfas-2019-0243. Pulg U, Stranzl S, Vollset KW, Barlaup BT, Olsen E, Skår B, Velle G. Gassmetning i Otra nedenfor Brokke kraftverk. NORCE Rep. 2016. R Core Team. R: A languange and snvironment for statistical computing. R Found. Stat. Comput. Vienna Austria. 2020. Ripley B, Venables B, Bates D, Hornik K, Gebhardt A, Firth D. MASS - Modern Applied Statistics with S. 2021. Simpfendorfer CA, Heupel MR, Hueter RE. Estimation of short-term centers of activity from an array of omnidirectional hydrophones and its use in studying animal movements. Can J Fish Aquat Sci. 2002. https://doi.org/10.1139/f01-191. Stasko AB, Pincock DG. Review of underwater biotelemetry, with emphasis on ultrasonic techniques. J Fish Board Can. 2011. https://doi.org/10.1139/f77-189. Stott ND, Faust MD, Vandergoot CS, Miner JG. Acoustic telemetry detection probability and location accuracy in a freshwater wetland embayment. Anim Biotelemetry. 2021;9:19. https://doi.org/10.1186/s40317-021-00243-1. Swadling DS, Knott NA, Rees MJ, Pederson H, Adams KR, Taylor MD, Davis AR. Seagrass canopies and the performance of acoustic telemetry: implications for the interpretation of fish movements. Anim Biotelemetry. 2020;8:8. https://doi.org/10.1186/s40317-020-00197-w. Unmuth JML, Hansen MJ, Rasmussen PW, Pellett TD. Effects of mechanical harvesting of eurasian watermilfoil on angling for bluegills in Fish Lake. Wisconsin North Am J Fish Manag. 1999;21:448–54. https://doi.org/10.1577/1548-8675(2001)021%3c0448:EOMHOE%3e2.0.CO;2. Velle G, Skoglund H, Barlaup BT. Effects of nuisance submerged vegetation on the fauna in Norwegian rivers. Hydrobiologia. 2021. https://doi.org/10.1007/s10750-020-04465-x. Verhofstad MJJM, Bakker ES. Classifying nuisance submerged vegetation depending on ecosystem services. Limnology. 2019;20:55–68. https://doi.org/10.1007/s10201-017-0525-z. Weinz AA, Matley JK, Klinard NV, Fisk AT, Colborne SF, Weinz AA, Matley JK, Klinard NV, Fisk AT, Colborne SF. Performance of acoustic telemetry in relation to submerged aquatic vegetation in a nearshore freshwater habitat. Mar Freshw Res. 2021. https://doi.org/10.1071/MF20245. Wickham H, Chang W, Henry L, Pedersen TL, Takahashi K, Wilke C, Woo K, Yutani H, Dunnington D, RStudio. ggplot2: Create Elegant Data Visualisations Using the Grammar of Graphics. 2020. Wilson CJ. The acoustic ecology of submerged macrophytes (thesis). 2011. Winter ER, Hindes AM, Lane S, Britton JR. Detection range and efficiency of acoustic telemetry receivers in a connected wetland system. Hydrobiologia. 2021;848:1825–36. https://doi.org/10.1007/s10750-021-04556-3. Wood S. mgcv: Mixed GAM Computation Vehicle with Automatic Smoothness Estimation. 2021.