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Soundscapes reveal disturbance impacts: biophonic response to wildfire in the Sonoran Desert Sky Islands

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Abstract

Context

While remote sensing imagery is effective for quantifying land cover changes across large areas, its utility for directly assessing the response of animals to disturbance is limited. Soundscapes approaches—the recording and analysis of sounds in a landscape—could address this shortcoming.

Objectives

In 2011, a massive wildfire named “the Horseshoe 2 Burn” occurred in the Chiricahua National Monument, Arizona, USA. We evaluated the impact of this wildfire on acoustic activity of animal communities.

Methods

In 2013, soundscape recordings were collected over 9 months in 12 burned and 12 non-burned sites in four ecological systems. The seasonal and diel biological acoustic activity were described using the “Bioacoustic Index”, a detailed aural analysis of sound sources, and a new tool called “Sonic Timelapse Builder” (STLB).

Results

Seasonal biophony phenology showed a diurnal peak in June and a nocturnal peak in October in all ecological systems. On June mornings, acoustic activity was lower at burned than at non-burned sites in three of four ecological systems, due to a decreased abundance of cicadas directly impacted by the death of trees. Aural analyses revealed that 55% of recordings from non-burned sites contained insect sounds compared to 18% from burned sites. On October nights, orthopteran activity was more prevalent at some burned sites, possibly due to post-fire emergence of herbaceous.

Conclusions

Soundscape approaches can help address long-term conservation issues involving the responses of animal communities to wildfire. Acoustic methods can serve as a valuable complement to remote sensing for disturbance-based landscape management.

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References

  • Acevedo MA, Villanueva-Rivera LJ (2006) Using automated digital recording systems as effective tools for the monitoring of birds and amphibians. Wildl Soc Bull 34:211–214

    Article  Google Scholar 

  • Bates D, Maechler M, Bolker B, Walker S (2015) Fitting linear mixed-effects models using lme4. J Stat Softw 67:1–48

    Article  Google Scholar 

  • Boelman NT, Asner GP, Hart PJ, Martin RE (2007) Multi-trophic invasion resistance in Hawai’ I : bioacoustics, field surveys, and airborne remote sensing. Ecol Appl 17:2137–2144

    Article  PubMed  Google Scholar 

  • Bolker BM, Brooks ME, Clark CJ, Geange SW, Poulsen JR, Stevens MH, White JS (2009) Generalized linear mixed models: a practical guide for ecology and evolution. Trends Ecol Evol 24:127–135

    Article  PubMed  Google Scholar 

  • Bond WJ, Woodward FI, Midgley GF (2005) The global distribution of ecosystems in a world without fire. New Phytol 165:525–538

    Article  PubMed  CAS  Google Scholar 

  • Box GEP, Cox DR (1964) An analysis of transformations (with discussion). J R Stat Soc B 26:211–252

    Google Scholar 

  • Callaham MA Jr, Blair JM, Todd TC, Kitchen DJ, Whiles MR (2003) Macroinvertebrates in North American tallgrass prairie soils: effects of fire, mowing, and fertilization on density and biomass. Soil Biol Biochem 35:1079–1093

    Article  CAS  Google Scholar 

  • Callaham MA Jr, Whiles MR, Meyer CK, Brock BL, Charlton RE (2000) Feeding ecology and emergence production of annual cicadas (Homoptera: Cicadidae) in tallgrass prairie. Oecologia 123:535–542

    Article  PubMed  Google Scholar 

  • Chiavacci SJ, Bednarz JC, McKay T (2014) The emergence densities of annual cicadas (Hemiptera: Cicadidae) increase with sapling density and are greater near edges in a Bottomland Hardwood Forest. Environ Entomol 43:859–867

    Article  PubMed  Google Scholar 

  • Comer P, Faber-Langendoen D, Evans R, Gawler S, Josse C, Kittel G, Menard S, Pyne M, Reid M, Schulz K, Snow K, Teague J (2003) Ecological systems of the United States: a working classification of U.S. terrestrial systems. NatureServe, Arlington, Virginia

  • Crotteau JS, Varner JM, Ritchie MW (2013) Post-fire regeneration across a fire severity gradient in the southern Cascades. For Ecol Manage 287:103–112

    Article  Google Scholar 

  • Dale VH, Joyce LA, McNulty S, Neilson RP, Ayres MP, Flannigan MD, Hanson PJ, Irland LC, Lugo AE, Peterson CJ, Simberloff D (2001) Climate change and forest disturbances: climate change can affect forests by altering the frequency, intensity, duration, and timing of fire, drought, introduced species, insect and pathogen outbreaks, hurricanes, windstorms, ice storms, or landslides. Bioscience 51:723–734

    Article  Google Scholar 

  • Deichmann JL, Hernández-Serna A, Delgado Cornejo JA, Campos-Cerqueira M, Aide TM (2017) Soundscape analysis and acoustic monitoring document impacts of natural gas exploration on biodiversity in a tropical forest. Ecol Ind 74:39–48

    Article  Google Scholar 

  • Depraetere M, Pavoine S, Jiguet F, Gasc A, Duvail S, Sueur J (2012) Monitoring animal diversity using acoustic indices: implementation in a temperate woodland. Ecol Ind 13:46–54

    Article  Google Scholar 

  • Digby A, Towsey M, Bell BD, Teal PD (2013) A practical comparison of manual and autonomous methods for acoustic monitoring. Methods Ecol Evol 4:675–683

    Article  Google Scholar 

  • Diwakar S, Balakrishnan R (2007) The assemblage of acoustically communicating crickets of a tropical evergreen forest in southern India: call diversity and diel calling patterns. Bioacoustics 16:113–135

    Article  Google Scholar 

  • Drewry GE, Rand AS (1983) Characteristics of an acoustic community: Puerto Rican frogs of the genus Eleutherodactylus. Copeia 4:941–953

    Article  Google Scholar 

  • Dumyahn SL, Pijanowski BC (2011) Soundscape conservation. Landscape Ecol 26:1327–1344

    Article  Google Scholar 

  • Duncan BW, Schmalzer PA (2004) Anthropogenic influences on potential fire spread in a pyrogenic ecosystem of Florida, USA. Landscape Ecol 19:153–165

    Article  Google Scholar 

  • Ellwood ER, Diez JM, Ibánez I, Primack RB, Kobori H, Higuchi H, Silander JA (2012) Disentangling the paradox of insect phenology: are temporal trends reflecting the response to warming? Oecologia 168:1161–1171

    Article  PubMed  Google Scholar 

  • Engle DM, Fuhlendorf SD, Roper A, JrDM Leslie (2008) Invertebrate community response to a shifting mosaic of habitat. Rangel Ecol Manag 61:55–62

    Article  Google Scholar 

  • Fairbrass AJ, Rennett P, Williams C, Titheridge H, Jones KE (2017) Biases of acoustic indices measuring biodiversity in urban areas. Ecol Ind 83:169–177

    Article  Google Scholar 

  • Farina A, Gage SH, Salutari P (2018) Testing the ecoacoustics event detection and identification (EEDI) model on mediterranean soundscapes. Ecol Ind 85:698–715

    Article  Google Scholar 

  • Farina A, James P (2016) The acoustic communities: definition, description and ecological role. Biosystems 147:11–20

    Article  PubMed  Google Scholar 

  • Farina A, Pieretti N (2014) Sonic environment and vegetation structure: a methodological approach for a soundscape analysis of a Mediterranean maqui. Ecol Inform 21:120–132

    Article  Google Scholar 

  • Fonseca PJ (2014) Cicada acoustic communication. In: Berthold H (ed) Insect hearing and acoustic communication, vol 1. Springer, Berlin, pp 101–121

    Chapter  Google Scholar 

  • Fox J, Weisberg S (2011) An R companion to applied regression, 2nd edn. Sage, Thousand Oaks, CA

    Google Scholar 

  • Fuller S, Axel AC, Tucker D, Gage SH (2015) Connecting soundscape to landscape: which acoustic index best describes landscape configuration? Ecol Ind 58:207–215

    Article  Google Scholar 

  • Gage SH, Axel AC (2014) Visualization of temporal change in soundscape power of a Michigan lake habitat over a 4-year period. Ecol Inform 21:100–109

    Article  Google Scholar 

  • Gasc A, Francomano D, Dunning JB, Pijanowski BC (2016) Future directions for soundscape ecology: the importance of ornithological contributions. Auk 134:215–228

    Article  Google Scholar 

  • Gasc A, Pavoine S, Lellouch L, Grandcolas P, Sueur J (2015) Acoustic indices for biodiversity assessments: analyses of bias based on simulated bird assemblages and recommendations for field surveys. Biol Cons 191:306–312

    Article  Google Scholar 

  • Gasc A, Sueur J, Jiguet F, Devictor V, Grandcolas P, Burrow C, Depraetere M, Pavoine S (2013a) Assessing biodiversity with sound: do acoustic diversity indices reflect phylogenetic and functional diversities of bird communities? Ecol Ind 25:279–287

    Article  Google Scholar 

  • Gasc A, Sueur J, Pavoine S, Pellens R, Grandcolas P (2013b) Biodiversity sampling using a global acoustic approach: contrasting sites with microendemics in New Caledonia. PLoS ONE 8:e65311

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  • Guyette RP, Muzika RM, Dey DC (2002) Dynamics of an anthropogenic fire regime. Ecosystems 5:472–486

    Google Scholar 

  • Halpin PN (1997) Global climate change and natural-area protection: management responses and research directions. Ecol Appl 7:828–843

    Article  Google Scholar 

  • Hannah L, Midgley G, Andelman S, Araújo M, Hughes G, Martinez-Meyer E, Pearson R, Williams P (2007) Protected area needs in a changing climate. Front Ecol Environ 5:131–138

    Article  Google Scholar 

  • Heinselman ML (1981) Fire intensity and frequency as factors in the distribution and structure of northern ecosystems. In: Mooney HA, Bonnicksen TM, Christensen NL, Lotan JE, Reiners WA (eds) Proceedings of the conference fire regimes and ecosystem properties, Honolulu. USDA Forest Service, General Technical Report WO–26, Washington DC, pp 7–57

  • Hill KB, Marshall DC, Moulds MS, Simon C (2015) Molecular phylogenetics, diversification, and systematics of Tibicen Latreille 1825 and allied cicadas of the tribe Cryptotympanini, with three new genera and emphasis on species from the USA and Canada (Hemiptera: Auchenorrhyncha: Cicadidae). Zootaxa 3985:219–251

    Article  PubMed  Google Scholar 

  • Holm S (1979) A simple sequentially rejective multiple test procedure. Scand J Stat 6:65–70

    Google Scholar 

  • Joo W, Gage SH, Kasten EP (2011) Analysis and interpretation of variability in soundscapes along an urban-rural gradient. Landscape Urban Plan 103:259–276

    Article  Google Scholar 

  • Krause B, Gage SH, Joo W (2011) Measuring and interpreting the temporal variability in the soundscape at four places in Sequoia National Park. Landscape Ecol 26:1247–1256

    Article  Google Scholar 

  • Kuehne LM, Padgham BL, Olden JD (2013) The soundscapes of lakes across an urbanization gradient. PLoS ONE 8:e55661

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  • Lee BPY, Davies ZG, Struebig MJ (2017) Smoke pollution disrupted biodiversity during the 2015 El Niño fires in Southeast Asia. Environ Res Lett 12:094022

    Article  Google Scholar 

  • Lellouch L, Pavoine S, Jiguet F, Glotin H, Sueur J (2014) Monitoring temporal change of bird communities with dissimilarity acoustic indices. Methods Ecol Evol 5:495–505

    Article  Google Scholar 

  • Ligges U, Krey S, Mersmann O, Schnackenberg S (2013) tuneR: analysis of music. http://r-forge.r-project.org/projects/tuner/

  • Lomolino MV, Pijanowski BC, Gasc A (2015) The silence of biogeography. J Biogeogr 42:1187–1196

    Article  Google Scholar 

  • Luczkovich JJ, Pullinger RC, Johnson SE, Sprague MW (2008) Identifying sciaenid critical spawning habitats by the use of passive acoustics. Trans Am Fish Soc 137:576–605

    Article  Google Scholar 

  • Méndez-Barroso LA, Vivoni ER, Watts CJ, Rodríguez JC (2009) Seasonal and interannual relations between precipitation, surface soil moisture and vegetation dynamics in the North American monsoon region. J Hydrol 377:59–70

    Article  Google Scholar 

  • Militino AF (2010) Mixed effects models and extensions in ecology with R. J R Stat Soc Ser A 173:938–939

    Article  Google Scholar 

  • Mullet TC, Gage SH, Morton JM, Huettmann F (2016) Temporal and spatial variation of a winter soundscape in south-central Alaska. Landscape Ecol 31:1117–1137

    Article  Google Scholar 

  • Pausas JG, Llovet J, Rodrigo A, Vallejo R (2008) Are wildfires a disaster in the Mediterranean basin?—A review. Int J Wildl Fire 17:713–723

    Article  Google Scholar 

  • Pekin BK, Jung J, Villanueva-Rivera LJ, Pijanowski BC, Ahumada JA (2012) Modeling acoustic diversity using soundscape recordings and LIDAR-derived metrics of vertical forest structure in a neotropical rainforest. Landscape Ecol 27:1513–1522

    Article  Google Scholar 

  • Peters DCP, Lugo AE, Chapin FS III, Pickett STA, Duniway M, Rocha AV, Sawanson FJ, Laney C, Jones J (2011) Cross-system comparisons elucidate disturbance complexities and generalities. Ecosphere 2:art81

    Article  Google Scholar 

  • Pieretti N, Farina A, Morri D (2011) A new methodology to infer the singing activity of an avian community: the Acoustic Complexity Index (ACI). Ecol Indic 11:868–873

    Article  Google Scholar 

  • Pijanowski BC, Farina A, Gage SH, Dumyahn SL, Krause BL (2011a) What is soundscape ecology? An introduction and overview of an emerging new science. Landscape Ecol 26:1213–1232

    Article  Google Scholar 

  • Pijanowski BC, Villanueva-Rivera LJ, Dumyahn SL, Farina A, Krause BL, Napoletano BM, Gage SH, Pieretti N (2011b) Soundscape ecology: the science of sound in the landscape. Bioscience 61:203–216

    Article  Google Scholar 

  • Powell BF, Schmidt CA, Halvorson WL, Anning P (2009) Vascular plant and vertebrate inventory of Chiricahua national monument (No. 2008-1023). US Geological Survey

  • R Core Team (2014) R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. http://www.R-project.org/

  • Röder A, Hill J, Duguy B, Alloza JA, Vallejo R (2008) Using long time series of Landsat data to monitor fire events and post-fire dynamics and identify driving factors. A case study in the Ayora region (eastern Spain). Remote Sens Environ 112:259–273

    Article  Google Scholar 

  • Ruse MG, Hasselquist D, Hansson B, Tarka M, Sandsten M (2016) Automated analysis of song structure in complex birdsongs. Anim Behav 112:39–51

    Article  Google Scholar 

  • Sanborn AF, Phillips PK (2013) Biogeography of the cicadas (Hemiptera: Cicadidae) of North America, north of Mexico. Diversity 5:166–239

    Article  Google Scholar 

  • Sankupellay M, Towsey M, Truskinger A, Roe P (2015) Visual fingerprints of the acoustic environment. In: Proceedings of the IEEE international symposium on big data visual analytics. IEEE, New York

  • Schafer RM (1977) The Soundscape. Our sonic environment and the tuning of the world. Destiny Books, Vancouver

    Google Scholar 

  • Stephens SL, Agee JK, Fule PZ, North MP, Romme WH, Swetnam TW, Turner MG (2013) Managing forests and fire in changing climates. Science 342:41–42

    Article  PubMed  CAS  Google Scholar 

  • Sueur J, Aubin T, Simonis C (2008a) Seewave: a free modular tool for sound analysis and synthesis. Bioacoustics 18:213–226

    Article  Google Scholar 

  • Sueur J, Farina A, Gasc A, Pieretti N, Pavoine S (2014) Acoustic indices for biodiversity assessment and landscape investigation. Acta Acust United Acust 100:772–781

    Article  Google Scholar 

  • Sueur J, Pavoine S, Hamerlynck O, Duvail S (2008b) Rapid acoustic survey for biodiversity appraisal. PLoS ONE 3:e4065

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  • Swetnam TW (1993) Fire history and climate change in giant sequoia groves. Science 262:885

    Article  PubMed  CAS  Google Scholar 

  • Swetnam TW, Baisan CH, Caprio AC, Brown PM (1992) Fire history in a Mexican oak-pine woodland and adjacent montane conifer gallery forest in southeastern Arizona. Paper presented at the symposium on the ecology and management of Oak and Associated Woodlands: perspectives in the Southwestern United States and Northern Mexico, Sierra Vista, AZ, USA, April 27–30, 1992

  • Syphard AD, Clarke KC, Franklin J (2007) Simulating fire frequency and urban growth in southern California coastal shrublands, USA. Landscape Ecol 22:431–445

    Article  Google Scholar 

  • Towsey M, Wimmer J, Williamson I, Roe P (2014a) The use of acoustic indices to determine avian species richness in audio-recordings of the environment. Ecol Inform 21:110–119

    Article  Google Scholar 

  • Towsey M, Zhang L, Cottman-Fields M, Wimmer J, Zhang J, Roe P (2014b) Visualization of long-duration acoustic recordings of the environment. Proc Comput Sci 29:703–712

    Article  Google Scholar 

  • Truskinger A, Cottman-Fields M, Johnson D, Roe P (2013) Rapid scanning of spectrograms for efficient identification of bioacoustic events in big data. Paper presented at IEEE 9th international conference on eScience (eScience), Beijing, China, 22–25 October, 2013

  • Turner MG (2010) Disturbance and landscape dynamics in a changing world. Ecology 91:2833–2849

    Article  PubMed  Google Scholar 

  • Turner MG, Hargrove WW, Gardner RH, Romme WH (1994) Effects of fire on landscape heterogeneity in Yellowstone National Park, Wyoming. J Veg Sci 5:731–742

    Article  Google Scholar 

  • Turner MG, Romme WH, Gardner RH, O’Neill RV, Kratz TK (1993) A revised concept of landscape equilibrium: disturbance and stability on scaled landscapes. Landscape Ecol 8:213–227

    Article  Google Scholar 

  • U.S. Geological Survey, Gap Analysis Program (GAP) (2011) National land cover, Version 2

  • U.S. Geological Survey and the U.S. Forest Service (2013) Monitoring trends in burn severity assessment of fire information: AZ3182010921120110508. Raster digital data for satellite imagery and derived data for fire perimeters. Sioux Falls, South Dakota or Salt Lake City, Utah. http://edc.usgs.gov or http://www.fs.fed.us/eng/rsac/ and http://www.mtbs.gov/

  • Vankat JL (1977) Fire and man in Sequoia National Park. Ann Assoc Am Geogr 67:17–27

    Article  Google Scholar 

  • Venables WN, Ripley BD (2002) Modern applied statistics with S, 4th edn. Springer, New York

    Book  Google Scholar 

  • Viedma O, Melia J, Segarra D, Garcia-Haro J (1997) Modeling rates of ecosystem recovery after fires by using Landsat TM data. Remote Sens Environ 61:383–398

    Article  Google Scholar 

  • Villanueva-Rivera LJ, Pijanowski BC (2012) Pumilio: a web-based management system for ecological recordings. Bull Ecol Soc Am 93:71–81

    Article  Google Scholar 

  • Villanueva-Rivera LJ, Pijanowski BC (2015) soundecology: soundscape ecology. R package version 1.3.1. http://CRAN.R-project.org/package=soundecology

  • Warshall P (1995) The Madrean sky island archipelago: a planetary overview. In: DeBano LF, Gottfried GJ, Hamre RH, Edminster CB, Dolliott PFF, Ortega-Rubio A (eds) Biodiversity and management of the Madrean Archipelago: the sky islands of Southern United States and Northwestern Mexico. USDA Forest Service General Technical Report RM-GTR-264, pp 6–18

  • Watts CJ, Scott RL, Garatuza-Payan J, Rodriguez JC, Prueger JH, Kustas WP, Douglas M (2007) Changes in vegetation condition and surface fluxes during NAME 2004. J Clim 20:1810–1820

    Article  Google Scholar 

  • White PS, Pickett STA (1985) Natural disturbance and patch dynamics: an introduction. In: Pickett STA, White PS (eds) The ecology of natural disturbance and patch dynamics. Academic Press, New york, pp 3–13

    Google Scholar 

  • Wildlife Acoustics, Inc. Bioacoustics software and field recording equipment website. http://www.wildlifeacoustics.com/. Accessed 1 January 2014

  • Williams KS, Smith KG, Stephen FM (1993) Emergence of 13-yr periodical cicadas (Cicadidae: Magicicada): phenology, mortality, and predator satiation. Ecology 74:1143–1152

    Article  Google Scholar 

  • Yeates GW, Lee WG (1997) Burning in a New Zealand snow-tussock grassland: effects on vegetation and soil fauna. N Zeal J Ecol 1:73–79

    Google Scholar 

  • Zhao Z, Zhang SH, Xu ZY, Bellisario K, Dai NH, Omrani H, Pijanowski BC (2017) Automated bird acoustic event detection and robust species classification. Ecol Inform 39:99–108

    Article  Google Scholar 

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Acknowledgements

We would like to thank our field assistant Karen Krebbs as well as Maura Thoenes Buckley from the Chiricahua National Monument for their help in the protocol development and the collection of the data. Additionally, we would like to thank Matthew Harris and Marc Manceau for their help in the field and their work in the documentation of this study. We are grateful for the helpful and constructive comments of the two anonymous reviewers.

Funding

This work was partially funded by the Wright Forestry Fund of the Department of Forestry and Natural Resources, the Purdue University Graduate School, National Science Foundation Research Coordination Networks (NSF RCN #1114945), National Science Foundation Division of Information and Intelligent Systems (NSF IIS #0705836), Purdue University’s Center for the Environment, the United States Department of Education’s Graduate Area of National Needs (GANN) Program, the McIntire-Stennis Cooperative Forestry Research Program of the U.S. Department of Agriculture, the College of Agriculture at Purdue University, and the Executive Vice President for Research and Engagement at Purdue University.

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Gasc, A., Gottesman, B.L., Francomano, D. et al. Soundscapes reveal disturbance impacts: biophonic response to wildfire in the Sonoran Desert Sky Islands. Landscape Ecol 33, 1399–1415 (2018). https://doi.org/10.1007/s10980-018-0675-3

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