FishLife is an collaborative and international project that aims to:
The FishLife R-package includes results from three prior analyses:
For each of these three analyses, the R-package FishLife includes the compiled database of trait measurements (aim-1), the estimated covariance among traits (aim-2), and the imputed trait values (aim-3). See package vignettes for more details.
Presentation of research program available online
Auber, A., Waldock, C., Maire, A., Goberville, E., Albouy, C., Algar, A.C., McLean, M., Brind’Amour, A., Green, A.L., Tupper, M., Vigliola, L., Kaschner, K., Kesner-Reyes, K., Beger, M., Tjiputra, J., Toussaint, A., Violle, C., Mouquet, N., Thuiller, W., Mouillot, D., 2022. A functional vulnerability framework for biodiversity conservation. Nat. Commun. 13, 4774. https://doi.org/10.1038/s41467-022-32331-y
Fitz, K.S., Montes Jr., H.R., Thompson, D.M., Pinsky, M.L., n.d. Isolation-by-distance and isolation-by-oceanography in Maroon Anemonefish (Amphiprion biaculeatus). Evol. Appl. n/a. https://doi.org/10.1111/eva.13448
Fujiwara, M., Simpson, A., Torres-Ceron, M., Martinez-Andrade, F., 2022. Life-history traits and temporal patterns in the incidence of coastal fishes experiencing tropicalization. Ecosphere 13, e4188. https://doi.org/10.1002/ecs2.4188
Hay, A., Riggins, C.L., Heard, T., Garoutte, C., Rodriguez, Y., Fillipone, F., Smith, K.K., Menchaca, N., Williamson, J., Perkin, J.S., 2022. Movement and mortality of invasive suckermouth armored catfish during a spearfishing control experiment. Biol. Invasions. https://doi.org/10.1007/s10530-022-02834-2
Hirota, D.S., Haimovici, M., Sant’Ana, R., Mourato, B.L., Santos, E.K., Cardoso, L.G., 2022. Life history, population dynamics and stock assessment of the bycatch species Brazilian flathead (Percophis brasiliensis) in southern Brazil. Reg. Stud. Mar. Sci. 102597. https://doi.org/10.1016/j.rsma.2022.102597
Mora, P., Figueroa-Muñoz, G., Cubillos, L., Strange-Olate, P., 2022. A data-limited approach to determine the status of the artisanal fishery of sea silverside in southern Chile. Mar. Fish. Sci. MAFIS 35, 275–298.
Omori, K.L., Tribuzio, C.G., Babcock, E.A., Hoenig, J.M., 2021. Methods for Identifying Species Complexes Using a Novel Suite of Multivariate Approaches and Multiple Data Sources: A Case Study With Gulf of Alaska Rockfish. Front. Mar. Sci. 1084.
Pawluk, M., Fujiwara, M., Martinez-Andrade, F., 2022. Climate change linked to functional homogenization of a subtropical estuarine system. Ecol. Evol. 12, e8783. https://doi.org/10.1002/ece3.8783
Pons, M., Cope, J.M., Kell, L.T., 2020. Comparing performance of catch-based and length-based stock assessment methods in data-limited fisheries. Can. J. Fish. Aquat. Sci. 77, 1026–1037. https://doi.org/10.1139/cjfas-2019-0276
Rudd, M.B., Thorson, J.T., Sagarese, S.R., 2019. Ensemble models for data-poor assessment: accounting for uncertainty in life-history information. ICES J. Mar. Sci. 76, 870–883. https://doi.org/10.1093/icesjms/fsz012
Safaraliev, I.A., Popov, N.N., 2022. Qualitative Assessment of the Stock Status of Freshwater Bream Abramis brama (Cyprinidae) from the Ural Stock Based on the LB-SPR Method. J. Ichthyol. 62, 476–486. https://doi.org/10.1134/S0032945222030134
Thorson, J.T., 2020. Predicting recruitment density dependence and intrinsic growth rate for all fishes worldwide using a data-integrated life-history model. Fish Fish. 21, 237–251. https://doi.org/10.1111/faf.12427
Thorson, J.T., Munch, S.B., Cope, J.M., Gao, J., 2017. Predicting life history parameters for all fishes worldwide. Ecol. Appl. 27, 2262–2276. https://doi.org/10.1002/eap.1606