Drivers of piscivory in a globally distributed aquatic predator (brown trout): a meta-analysis
1.
Post, D. M. et al. Seasonal effects of variable recruitment of a dominant piscivore on pelagic food web structure. Limnol. Oceanogr. 42, 722–729 (1997).
ADS Google Scholar
2.
Skov, C., Perrow, M. R., Berg, S. & Skovgaard, H. Changes in the fish community and water quality during seven years of stocking piscivorous fish in a shallow lake. Freshw. Biol. 47, 2388–2400 (2002).
Google Scholar
3.
Östman, Ö et al. Top-down control as important as nutrient enrichment for eutrophication effects in North Atlantic coastal ecosystems. J. Appl. Ecol. 53, 1138–1147 (2016).
Google Scholar
4.
Sánchez-Hernández, J., Nunn, A. D., Adams, C. & Amundsen, P.-A. Causes and consequences of ontogenetic dietary shifts: A global synthesis using fish models. Biol. Rev. 94, 539–554 (2019).
PubMed Google Scholar
5.
Sánchez-Hernández, J., Eloranta, A. P., Finstad, A. G. & Amundsen, P.-A. Community structure affects trophic ontogeny in a predatory fish. Ecol. Evol. 7, 358–367 (2017).
PubMed Google Scholar
6.
Amundsen, P.-A., Svenning, M.-A. & Siikavuopio, S. I. An experimental comparison of cannibalistic response in different Arctic charr (Salvelinus alpinus (L.)). Ecol. Freshw. Fish. 8, 43–48 (1999).
Google Scholar
7.
Pereira, L. S., Keppeler, F. W., Agostinho, A. A. & Winemiller, K. O. Is there a relationship between fish cannibalism and latitude or species richness?. PLoS ONE 12, e0169813 (2017).
PubMed PubMed Central Google Scholar
8.
Eloranta, A. P. et al. Lake size and fish diversity determine resource use and trophic position of a top predator in high-latitude lakes. Ecol. Evol. 5, 1664–1675 (2015).
PubMed PubMed Central Google Scholar
9.
Jacobson, P., Bergström, U. & Eklöf, J. Size-dependent diet composition and feeding of Eurasian perch (Perca fluviatilis) and northern pike (Esox lucius) in the Baltic Sea. Boreal Environ. Res. 24, 137–153 (2019).
Google Scholar
10.
Mehner, T. et al. Intraguild predation and cannibalism in age-0 perch (Perca fluviatilis) and age-0 zander (Stizostedion lucioperca): Interactions with zooplankton succession, prey fish availability and temperature. Ann. Zool. Fenn. 33, 353–361 (1996).
Google Scholar
11.
Jensen, H., Kiljunen, M. & Amundsen, P.-A. Dietary ontogeny and niche shift to piscivory in lacustrine brown trout Salmo trutta revealed by stomach content and stable isotope analyses. J. Fish Biol. 80, 2448–2462 (2012).
CAS PubMed Google Scholar
12.
L’Abée-Lund, J. H., Langeland, A. & Sægrov, H. Long-term variation in piscivory in a brown trout population: Effect of changes in available prey organisms. Ecol. Freshw. Fish 11, 260–269 (2002).
Google Scholar
13.
Hesthagen, T., Jonsson, B., Ugedal, O. & Forseth, T. Habitat use and life history of brown trout (Salmo trutta) and Arctic charr (Salvelinus alpinus) in some low acidity lakes in central Norway. Hydrobiologia 348, 113–126 (1997).
Google Scholar
14.
Browne, D. R. & Rasmussen, J. B. Shift in the trophic ecology of brook trout resulting from interactions with yellow perch: An intraguild predator–prey interaction. Trans. Am. Fish. Soc. 138, 1109–1122 (2009).
Google Scholar
15.
Winemiller, K. O. & Leslie, M. A. Fish assemblages across a complex freshwater-marine ecotone. Environ. Biol. Fish. 34, 29–50 (1992).
Google Scholar
16.
Clavero, M., Prenda, J. & Delibes, M. Trophic diversity of the otter (Lutra lutra L.) in temperate and Mediterranean freshwater habitats. J. Biogeogr. 30, 761–769 (2003).
Google Scholar
17.
Griffiths, D. The size structure of lacustrine Arctic charr (Pisces: Salmonidae) populations. Biol. J. Linn. Soc. 51, 337–357 (1994).
Google Scholar
18.
Gaston, K. J. Global patterns in biodiversity. Nature 405, 220–227 (2000).
CAS PubMed Google Scholar
19.
Remonti, L., Balestrieri, A. & Prigioni, C. Altitudinal gradient of otter (Lutra lutra) food niche in Mediterranean habitats. Can. J. Zool. 87, 285–291 (2009).
Google Scholar
20.
Sánchez-Hernández, J. & Amundsen, P.-A. Trophic ecology of brown trout in subarctic lakes. Ecol. Freshw. Fish. 24, 148–161 (2015).
Google Scholar
21.
Lobón-Cerviá, J. & Sanz, N. Brown Trout: Biology, Ecology and Management (Wiley, Hoboken, 2017).
Google Scholar
22.
Butler, J. R. A., Radford, A., Riddington, G. & Laughton, R. Evaluating an ecosystem service provided by Atlantic salmon, sea trout and other fish species in the River Spey, Scotland: The economic impact of recreational rod fisheries. Fish. Res. 96, 259–266 (2009).
Google Scholar
23.
Elliott, J. M. The food of brown trout (Salmo trutta) in a Dartmor stream. J. Appl. Ecol. 4, 59–71 (1967).
Google Scholar
24.
Sánchez-Hernández, J., Finstad, A. G., Arnekleiv, J. V., Kjærstad, G. & Amundsen, P.-A. Drivers of diet patterns in a globally distributed freshwater fish species. Can. J. Fish. Aquat. Sci. 76, 1263–1274 (2019).
Google Scholar
25.
Bhatt, J. P., Manish, K. & Pandit, M. K. Elevational gradients in fish diversity in the Himalaya: Water discharge is the key driver of distribution patterns. PLoS ONE 7, e46237 (2012).
ADS CAS PubMed PubMed Central Google Scholar
26.
Narayanaswamy, B. E. et al. Synthesis of knowledge on marine biodiversity in European seas: From census to sustainable management. PLoS ONE 8, e58909 (2013).
ADS CAS PubMed PubMed Central Google Scholar
27.
Arechavala-Lopez, P., Berg, M., Uglem, I., Bjørn, P. A. & Finstad, B. Variations in coastal fish species composition captured by traps in Romsdalsfjord, Western Norway. Int. Aquat. Res. 8, 109–119 (2016).
Google Scholar
28.
Mustamäki, N., Cederberg, J. & Matilla, J. Diet, stable isotopes and morphology of Eurasian perch (Perca fluviatilis) in littoral and pelagic habitats in the northern Baltic Proper. Environ. Biol. Fish. 97, 675–689 (2014).
Google Scholar
29.
Pereira, L. S., Agostinho, A. A. & Winemiller, K. O. Revisiting cannibalism in fishes. Rev. Fish. Biol. Fish. 27, 499–513 (2017).
Google Scholar
30.
German, D. P. & Horn, M. H. Gut length and mass in herbivorous and carnivorous prickleback fishes (Teleostei: Stichaeidae): Ontogenetic, dietary, and phylogenetic effects. Mar. Biol 148, 1123–1134 (2006).
Google Scholar
31.
Sánchez-Hernández, J. & Amundsen, P.-A. Ecosystem type shapes trophic position and omnivory in fishes. Fish Fish. 19, 1003–1015 (2018).
Google Scholar
32.
Sánchez-Hernández, J. Taxonomy-based differences in feeding guilds of fish. Curr. Zool. 66, 51–56 (2020).
PubMed Google Scholar
33.
Persson, L. et al. Culling prey promotes predator recovery-alternative states in a whole-lake experiment. Science 316, 1743–1745 (2007).
ADS CAS PubMed Google Scholar
34.
Horká, P. et al. Feeding habits of the alien brook trout Salvelinus fontinalis and the native brown trout Salmo trutta in Czech mountain streams. Knowl. Manag. Aquat. Ecosyst. 418, 1–11 (2017).
Google Scholar
35.
Wetzel, R. G. Limnology: Lake and River Ecosystems 3rd edn. (Elsevier Academic Press, Amsterdam, 2001).
Google Scholar
36.
L’Abée-Lund, J. H., Langeland, A. & Sægrov, H. Piscivory by brown trout Salmo trutta L. and Arctic charr Salvelinus alpinus (L.) in Norwegian lakes. J. Fish. Biol. 41, 91–101 (1992).
Google Scholar
37.
Vik, J., Borgstrom, R. & Skaala, O. Cannibalism governing mortality of juvenile brown trout, Salmo trutta, in a regulated stream. Regul. Rivers Res. Manag. 17, 583–594 (2001).
Google Scholar
38.
Montori, A., Tierno de Figueroa, J. M. & Santos, X. The diet of the brown trout Salmo trutta (L.) during the reproductive period: Size-related and sexual effects. Int. Rev. Hydrobiol. 91, 438–450 (2006).
Google Scholar
39.
García-Berthou, E. Ontogenetic diet shifts and interrupted piscivory in introduced largemouth bass (Micropterus salmoides). Int. Rev. Hydrobiol. 87, 353–363 (2002).
Google Scholar
40.
Sánchez-Hernández, J., Vieira-Lanero, R., Servia, M. J. & Cobo, F. Feeding habits of four sympatric fish species in the Iberian Peninsula: Keys to understanding coexistence using prey traits. Hydrobiologia 667, 119–132 (2011).
Google Scholar
41.
Bergmann, C. Über die Verhältnisse der Wärmeökonomie der Thiere zu ihrer Grösse. Gött Studien 3, 595–708 (1847).
Google Scholar
42.
Belk, M. C. & Houston, D. D. Bergmann’s rule in ectotherms: A test using freshwater fishes. Am. Nat. 160, 803–808 (2002).
PubMed Google Scholar
43.
Millien, V. et al. Ecotypic variation in the context of global climate change: Revisiting the rules. Ecol. Lett. 9, 853–869 (2006).
PubMed Google Scholar
44.
Parra, I., Almodóvar, A., Nicola, G. G. & Elvira, B. Latitudinal and altitudinal growth patterns of brown trout Salmo trutta at different spatial scales. J. Fish. Biol. 74, 2355–2373 (2009).
CAS PubMed Google Scholar
45.
Jonsson, B. et al. Longevity, body size, and growth in anadromous brown trout (Salmo trutta). Can. J. Fish. Aquat. Sci. 48, 1838–1845 (1991).
Google Scholar
46.
Marsh, G. A. & Fairbridge R. W. Lentic and lotic ecosystems. In Environmental Geology. Encyclopedia of Earth Science. (Springer, Dordrecht, 1999).
47.
Davis, A. M., Unmack, P. J., Pusey, B. J., Johnson, J. B. & Pearson, R. G. Marine-freshwater transitions are associated with the evolution of dietary diversification in terapontid grunters (Teleostei: terapontidae). J. Evol. Biol. 25, 1163–1179 (2012).
CAS PubMed Google Scholar
48.
McHugh, P. A., McIntosh, A. R. & Jellyman, P. G. Dual influences of ecosystem size and disturbance on food chain length in streams. Ecol. Lett. 13, 881–890 (2010).
PubMed Google Scholar
49.
Beauchamp, D. A. Spatial and temporal dynamics of piscivory: Implications for food web Stability and the transparency of Lake Washington. Lake Reserv. Manag. 9, 151–154 (1994).
ADS Google Scholar
50.
Marczak, L. B. et al. Latitudinal variation in top-down and bottom-up control of a salt marsh food web. Ecology 92, 276–281 (2011).
CAS PubMed Google Scholar
51.
Moher, D. et al. Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. PLoS Med. 6, e1000097 (2009).
PubMed PubMed Central Google Scholar
52.
Nakagawa, S., Noble, D. W., Senior, A. M. & Lagisz, M. Meta-evaluation of meta-analysis: Ten appraisal questions for biologists. BMC Biol. 15, 18 (2017).
PubMed PubMed Central Google Scholar
53.
Gurevitch, J., Koricheva, J., Nakagawa, S. & Stewart, G. Meta-analysis and the science of research synthesis. Nature 555, 175–182 (2018).
ADS CAS PubMed Google Scholar
54.
Haddaway, N. R., Collins, A. M., Coughlin, D. & Kirk, S. The role of google scholar in evidence reviews and its applicability to grey literature searching. PLoS ONE 10, e0138237 (2015).
PubMed PubMed Central Google Scholar
55.
Cooper, H. M. Research Synthesis and Meta-analysis: A Step-by-Step Approach (Sage Publications, New York, 2009).
Google Scholar
56.
Amundsen, P.-A. & Sánchez-Hernández, J. Feeding studies take guts—critical review and recommendations of methods for stomach contents analysis in fish. J. Fish. Biol. 95, 1364–1373 (2019).
PubMed Google Scholar
57.
Knudsen, R., Klemetsen, A. & Staldvik, F. Parasites as indicators of individual feeding specialization in Arctic charr during winter in northern Norway. J. Fish. Biol. 48, 1256–1265 (1996).
Google Scholar
58.
Budy, P. et al. Limitation and facilitation of one of the world’s most invasive fish: An intercontinental comparison. Ecology 94, 356–367 (2013).
PubMed Google Scholar
59.
Kahilainen, K. & Lehtonen, H. Piscivory and prey selection of four predator species in a whitefish dominated subarctic lake. J. Fish. Biol. 63, 659–672 (2003).
Google Scholar
60.
Viechtbauer, W. Conducting meta-analyses in R with the metafor package. J. Stat. Softw. 36, 1–48 (2010).
Google Scholar
61.
Del Re, A. C. A practical tutorial on conducting meta-analysis in R. Quant. Methods Psychol. 11, 37–50 (2015).
Google Scholar
62.
Duval, S. J. & Tweedie, R. L. Trim and fill: A simple funnel-plot-based method of testing and adjusting for publication bias in meta-analysis. Biometrics 56, 455–463 (2000).
CAS PubMed MATH Google Scholar
63.
Hijmans, R. J., Cameron, S. E., Parra, J. L., Jones, P. G. & Jarvis, A. Very high resolution interpolated climate surfaces for global land areas. Int. J. Climatol. 25, 1965–1978 (2005).
Google Scholar
64.
Zuur, A. F., Ieno, E. N. & Elphick, C. S. A protocol for data exploration to avoid common statistical problems. Methods Ecol. Evol. 1, 3–14 (2010).
Google Scholar
65.
Zuur, A. F., Ieno, E. N., Walker, N. J., Saveliev, A. A. & Smith, G. M. Mixed Effects Models and Extensions in Ecology with R (Springer, New York, 2009).
Google Scholar
66.
Wood, S. N. Generalized Additive Models: An Introduction with R wnd. (CRC Press, Boca Raton, 2017).
Google Scholar
67.
Garvey, J. E., Marschall, E. A. & Wright, R. A. Detecting relationships in continuous bivariate data. Ecology 79, 442–447 (1998).
Google Scholar
68.
Burnham, K. P. & Anderson, D. R. Model Selection and Multimodel Inference: A Practical Information-Theoretical Approach 2nd edn. (Springer, New York, 2002).
Google Scholar
69.
Bartoń, K. MuMIn: Multi-Model Inference. R package version 1.15.6 (2016). More