Lack of evidence for indirect effects from stonefly predators on primary production under future climate warming scenarios

References

• Allen JD, Castillo MM. 2007. Stream ecology: structure and function of running waters. second ed. Dordrecht (Netherlands): Springer.
   Google Scholar
• Alvarez M, Peckarsky BL. 2005. How do grazers affect periphyton heterogeneity in streams? Oecologia. 142:576–587. doi:10.1007/s00442-004-1759-0.
   PubMed Web of Science ®Google Scholar
• Bale JS, Masters GJ, Hodkinson ID, Awmack C, Bezemer TM, Brown VK, Butterfield J, Buse A, Coulson JC, Farrar J, et al. 2002. Herbivory in global climate change research: direct effects of rising temperature on insect herbivores. Glob Change Biol. 8(1):1–16. doi:10.1046/j.1365-2486.2002.00451.x.
   Web of Science ®Google Scholar
• Biggs BFJ, Francoeur SN, Huryn AD, Young R, Arbuckle CJ, Townsend CR. 2000. Trophic cascades in streams: effects of nutrient enrichment on autotrophic and consumer benthic communities under two different fish predation regimes. Can J Fish Aquat Sci. 57(7):1380–1394. doi:10.1139/f00-077.
   Web of Science ®Google Scholar
• Camp AA, Funk DH, Buchwalter DB. 2014. A stressful shortness of breath: molting disrupts breathing in the mayfly Cloeon dipterum. Freshwater Sci. 33(3):695–699. doi:10.1086/677899.
   Web of Science ®Google Scholar
• Clarke A. 2006. Temperature and the metabolic theory of ecology. Funct Ecol. 20(2):405–412. doi:10.1111/j.1365-2435.2006.01109.x.
   Web of Science ®Google Scholar
• Cummins KW. 1973. Trophic relations of aquatic insects. Annu Rev Entomol. 18(1):183–206. doi:10.1146/annurev.en.18.010173.001151.
   Google Scholar
• Echenique I, Dalle C, Duval C, Heath M, Couté A, Wood S, Humbert J, Quiblier C. 2016. Application of a spectrofluorimetric tool (bbe BenthoTorch) for monitoring potentially toxic benthic cyanobacteria in rivers. Water Res. 101:341–350. doi:10.1016/j.watres.2016.05.081.
   PubMed Web of Science ®Google Scholar
• Flecker AS, Townsend CR. 1994. Community-wide consequences of trout introduction in New Zealand streams. Ecol Appl. 4(4):798–807. doi:10.2307/1942009.
   Web of Science ®Google Scholar
• Gill BA, Harrington RA, Kondratieff BC, Zamudio KR, Poff NL, Funk WC. 2014. Morphological taxonomy, DNA barcoding, and species diversity in southern Rocky Mountain headwater streams. Freshwater Sci. 33(1):288–301. doi:10.1086/674526.
   Web of Science ®Google Scholar
• Gutow L, Peterson I, Bartl K, Hunerlage K. 2016. Marine meso-herbivore consumption scales faster with temperature than seaweed primary production. J Exp Mar Biol Ecol. 477:80–85. doi:10.1016/j.jembe.2016.01.009.
   Web of Science ®Google Scholar
• Hill WR, Knight AW. 1987. Experimental analysis of the grazing interaction between a mayfly and stream algae. Ecology. 68(6):1955–1965. doi:10.2307/1939886.
   PubMed Web of Science ®Google Scholar
• Kahlert M, McKie B. 2014. Comparing new and conventional methods to estimate benthic algal biomass and composition in freshwaters. Environ Sci–Proc Imp. 16:2627–2634.
   PubMed Web of Science ®Google Scholar
• Kaushal SS, Likens GE, Jaworski NA, Pace ML, Sides AM, Seekell D, Belt KT, Secor DH, Wingate RL. 2010. Rising stream and river temperatures in the United States. Front Ecol Environ. 8(9):461–466. doi:10.1890/090037.
   Web of Science ®Google Scholar
• Kordas RL, Harley CDG, O’Connor MI. 2011. Community ecology in a warming world: the influence of temperature on interspecific interactions in marine systems. J Exp Mar Biol Ecol. 400(1–2):218–226. doi:10.1016/j.jembe.2011.02.029.
   Web of Science ®Google Scholar
• Lenth RV. 2021. emmeans: estimated marginal means, aka least-squares means. R package version 1.7.0. https://CRAN.R-project.org/package=emmeans
   Google Scholar
• Matassa CM, Trussel GC. 2015. Effects of predation risk across a latitudinal temperature gradient. Oecologia. 177(3):775–784. doi:10.1007/s00442-014-3156-7.
   PubMed Web of Science ®Google Scholar
• Mazerolle MJ. 2020. AICcmodavg: model selection and multimodel inference based on (Q)AIC(c). R package version 2.3.1. https://cran.r-project.org/package=AICcmodavg
   Google Scholar
• McIntosh AR, Peckarsky BL. 1999. Criteria determining behavioral responses to multiple predators by a stream mayfly. Oikos. 85(3):554–564. doi:10.2307/3546705.
   Web of Science ®Google Scholar
• McIntosh AR, Townsend CR. 1994. Interpopulation variation in mayfly antipredator tactics: differential effects of contrasting predatory fish. Ecology. 75(7):2078–2090. doi:10.2307/1941612.
   Web of Science ®Google Scholar
• McIntosh AR, Townsend CR. 1996. Interactions between fish, grazing invertebrates and algae in a New Zealand stream: a trophic cascade mediated by fish-induced changes to grazer behavior? Oecologia. 108(1):174–181. doi:10.1007/BF00333229.
   PubMed Web of Science ®Google Scholar
• Mebane CA, Schmidt TS, Balistrieri LS. 2016. Larval aquatic insect responses to cadmium and zinc in experimental streams. Environ Toxicol Chem. 36(3):749–762. doi:10.1002/etc.3599.
   PubMed Web of Science ®Google Scholar
• Nelson D, Benstead JP, Huryn AD, Cross WF, Hood JM, Johnson PW, Junker JR, Gíslason GM, Ólafsson JS. 2017. Experimental whole-stream warming alters community size structure. Glob Change Biol. 23(7):2618–2628. doi:10.1111/gcb.13574.
   PubMed Web of Science ®Google Scholar
• O’Connor MI. 2009. Warming strengthens an herbivore-plant interaction. Ecology. 90(2):388–398. doi:10.1890/08-0034.1.
   PubMed Web of Science ®Google Scholar
• Ode PR, Wissinger S. 2006. Interaction between chemical and tactile cues in mayfly detection of stoneflies. Freshwater Biol. 30(3):351–357. doi:10.1111/j.1365-2427.1993.tb00819.x.
   Google Scholar
• Peckarsky BL. 1980. Predator-prey interactions between stoneflies and mayflies: behavioral observations. Ecology. 61(4):932–943. doi:10.2307/1936762.
   Web of Science ®Google Scholar
• Peckarsky BL. 1982. Aquatic insect predator-prey relations. BioScience. 32(4):261–266. doi:10.2307/1308532.
   Web of Science ®Google Scholar
• Peckarsky BL, Cowan CA, Penton MA, Anderson C. 1993. Sublethal consequences of stream-dwelling predatory stoneflies on mayfly growth and fecundity. Ecology. 74(6):1836–1846. doi:10.2307/1939941.
   Web of Science ®Google Scholar
• Peckarsky BL, McIntosh AR. 1998. Fitness and community consequences of avoiding multiple predators. Oceologia. 113(4):565–576. doi:10.1007/s004420050410.
   PubMed Web of Science ®Google Scholar
• Petraitis PS. 1992. Effects of body size and water temperature on grazing rates of four intertidal gastropods. Austral Ecol. 17(4):409–414. doi:10.1111/j.1442-9993.1992.tb00823.x.
   Google Scholar
• Pincebourde S, Sanford E, Helmuth B. 2008. Body temperature during low tide alters the feeding performance of a to intertidal predator. Limnol Oceanogr. 53(4):1562–1573. doi:10.4319/lo.2008.53.4.1562.
   Web of Science ®Google Scholar
• Poff NL, Olden JD, Vieira NKM, Finn DS, Simmons MP, Kondratieff BC. 2006. Functional trait niches of North American lotic insects: traits-based ecological applications in light of phylogenetic relationships. J N Am Benthol Soc. 25(4):730–755. doi:10.1899/0887-3593(2006)025[0730:FTNONA]2.0.CO;2.
   Google Scholar
• Poff NL, Wellnitz TA, Monroe JB. 2003. Redundancy among three herbivorous insects across an experimental current velocity gradient. Oecologia. 134(2):262–269. doi:10.1007/s00442-002-1086-2.
   PubMed Web of Science ®Google Scholar
• Preisser EL, Bolnick DI, Benard MF. 2005. Scared to death? The effects of intimidation and consumption in predator-prey interactions. Ecology. 86(2):501–509. doi:10.1890/04-0719.
   Web of Science ®Google Scholar
• Pyne MI, Poff NL. 2017. Vulnerability of stream community composition and function to projected thermal warming and hydrologic change across ecoregions in the western United States. Glob Change Biol. 23(1):77–93. doi:10.1111/gcb.13437.
   PubMed Web of Science ®Google Scholar
• R Core Team. 2020. R: a language and environment for statistical computing. Vienna (Austria): R Foundation for Statistical Computing. https://www.R-project.org/.
   Google Scholar
• Rosero-López D, Walter MT, Flecker AS, Ontaneda DF, Douglas O. 2021. Standardization of instantaneous fluoroprobe measurements of benthic algal biomass and composition in streams. Ecol Indic. 121:107185. doi:10.1016/j.ecolind.2020.107185.
   Web of Science ®Google Scholar
• Sanford E. 1999. Regulation of keystone predation by small changes in ocean temperature. Science. 283(5410):2095–2097. doi:10.1126/science.283.5410.2095.
   PubMed Web of Science ®Google Scholar
• Sanford E. 2002. Water temperature, predation, and the neglected role of physiological rate effects in rocky intertidal communities. Integr Comp Biol. 42(4):881–891. doi:10.1093/icb/42.4.881.
   PubMed Web of Science ®Google Scholar
• Schmidt TS, Rogers HA, Miller JL, Mebane CA, Balistrieri LS. 2018. Understanding the captivity effect on invertebrate communities transplanted into an experimental stream laboratory. Environ Toxicol. 37(11):2820–2834. doi:10.1002/etc.4237.
   Web of Science ®Google Scholar
• Shah AA, Funk CW, Ghalambor CK. 2017a. Thermal acclimation ability varies in temperate and tropical aquatic insects from different elevations. Integr Comp Biol. 57(5):977–987. doi:10.1093/icb/icx101.
   PubMed Web of Science ®Google Scholar
• Shah AA, Gill BA, Encalada AC, Flecker AS, Funk WC, Guayasamin JM, Kondratieff BC, Poff NL, Thomas SA, Zamudio KR, et al. 2017b. Climate variability predicts thermal limits of aquatic insects across elevation and latitude. Funct Ecol. 31(11):2118–2127. doi:10.1111/1365-2435.12906.
   Web of Science ®Google Scholar
• Shah AA, Woods AH, Havird JC, Encalada AC, Flecker AS, Funck WC, Guayasamin JM, Kondratieff NL, Thomas SA, Zumudio KR, et al. 2020. Temperature dependence of metabolic rate in tropical and temperate aquatic insects: support for the climate variability hypothesis in mayflies but not stoneflies. Glob Change Biol. 27(2):297–311. doi:10.1111/gcb.15400.
   PubMed Web of Science ®Google Scholar
• Stewart RIA, Dossena M, Bohan DA, Jeppesen E, Kordas RL, Ledger ME, Meerhoff M, Moss B, Mulder C, Shurin JB, et al. 2013. Mesocosm experiments as a tool for ecological climate-change research. Adv Ecol Res. 48:71–181.
   Web of Science ®Google Scholar
• Taylor BW, Anderson CR, Peckarsky BL. 1999. Delayed egg hatching and semivoltinism in the nearctic stonefly Megarcys signata (Plecoptera: perlodidae). Aquat Insect. 21(3):179–185. doi:10.1076/aqin.21.3.179.4527.
   Web of Science ®Google Scholar
• Taylor BW, McIntosh AR, Peckarsky BL. 2002. Reach-scale manipulations show invertebrate grazers depress algal resources in streams. Limnol Oceanogr. 47(3):893–899. doi:10.4319/lo.2002.47.3.0893.
   Web of Science ®Google Scholar
• van Vliet MTH, Ludwig F, Zwolsman JJG, Weedon GP, Kabat P. 2011. Global river temperatures and sensitivity to atmospheric warming and change sin river flow. Water Resour Res. 47(2):W02544. doi:10.1029/2010WR009198.
   Google Scholar
• Vannote RL, Sweeney BW. 1980. Geographic analysis of thermal equilibria – a conceptual-model for evaluating the effects of natural and modified thermal regimes on aquatic insect communities. Am Nat. 115(5):667–695. doi:10.1086/283591.
   Web of Science ®Google Scholar
• Ward JV, Kondratieff BC, Zuellig RE. 2002. An illustrated guide to the mountain stream insects of Colorado. second ed. Niwot (Colorado): University Press of Colorado.
   Google Scholar
• Ward JV, Stanford JA. 1982. Thermal responses in the evolutionary and ecology of aquatic insects. Annu Rev Entomol. 27(1):97–117. doi:10.1146/annurev.en.27.010182.000525.
   Google Scholar
• Wellnitz T. 2014. Can current velocity mediate trophic cascades in a mountain stream? Freshwater Biol. 59(11):2245–2255. doi:10.1111/fwb.12427.
   Web of Science ®Google Scholar
• Wootton TJ. 1994. The nature and consequences of indirect effects in ecological communities. Annu Rev Ecol Syst. 25(1):443–466. doi:10.1146/annurev.es.25.110194.002303.
   Google Scholar