Year |
Citation |
Score |
2022 |
Okuyama T. Predator-prey population dynamics may induce the evolutionary dynamics of behavioral unpredictability. Bio Systems. 211: 104582. PMID 34813894 DOI: 10.1016/j.biosystems.2021.104582 |
0.321 |
|
2020 |
Okuyama T. State-dependent mortality can enhance behavioral unpredictability. Bmc Ecology. 20: 34. PMID 32586382 DOI: 10.1186/S12898-020-00303-9 |
0.331 |
|
2020 |
Okuyama T. Intraindividual variability in behavior shapes fitness landscapes. Ecology and Evolution. 10: 2838-2845. PMID 32211159 DOI: 10.1002/Ece3.6099 |
0.417 |
|
2019 |
Okuyama T. Census timing alters stage duration distributions in matrix population models. Ecology and Evolution. 9: 8500-8508. PMID 31410257 DOI: 10.1002/Ece3.5315 |
0.365 |
|
2018 |
Okuyama T. Stage duration distributions in matrix population models. Ecology and Evolution. 8: 7936-7945. PMID 30250674 DOI: 10.1002/Ece3.4279 |
0.34 |
|
2017 |
Okuyama T. Egg limitation and individual variation in parasitization risk among hosts in host-parasitoid dynamics. Ecology and Evolution. 7: 3143-3148. PMID 28480013 DOI: 10.1002/Ece3.2916 |
0.342 |
|
2017 |
Okuyama T. Variation in foraging success among predators and its implications for population dynamics. Ecology and Evolution. 7: 526-532. PMID 28116049 DOI: 10.1002/Ece3.2633 |
0.427 |
|
2017 |
Lee C, Okuyama T. Individual variation in stage duration in matrix population models: Problems and solutions Biological Control. 110: 117-123. DOI: 10.1016/J.Biocontrol.2017.04.011 |
0.366 |
|
2016 |
Okuyama T. Parasitoid aggregation and interference in host–parasitoid dynamics Ecological Entomology. 41: 473-479. DOI: 10.1111/Een.12320 |
0.312 |
|
2015 |
Okuyama T. Demographic stochasticity alters the outcome of exploitation competition. Journal of Theoretical Biology. 365: 347-51. PMID 25451527 DOI: 10.1016/J.Jtbi.2014.10.040 |
0.408 |
|
2015 |
Okuyama T. Egg limitation in host-parasitoid dynamics: an individual-based perspective Theoretical Ecology. 8: 327-331. DOI: 10.1007/S12080-015-0253-0 |
0.345 |
|
2015 |
Okuyama T. Optimal foraging behavior with an explicit consideration of within-individual behavioral variation: an example of predation Evolutionary Ecology. 29: 599-607. DOI: 10.1007/S10682-015-9758-7 |
0.378 |
|
2014 |
Okuyama T. On the estimation of temperature-dependent development rate Applied Entomology and Zoology. 49: 499-503. DOI: 10.1007/S13355-014-0270-2 |
0.311 |
|
2013 |
Okuyama T. Consequences of variation in foraging success among predators on numerical response. Ecology and Evolution. 3: 4039-43. PMID 24198957 DOI: 10.1002/Ece3.772 |
0.383 |
|
2013 |
Tsao YJ, Okuyama T. Evolutionarily Stable Relocation Strategy in an Antlion Larva Journal of Insect Behavior. 26: 563-576. DOI: 10.1007/S10905-012-9374-0 |
0.316 |
|
2013 |
Okuyama T. On selection of functional response models: Holling's models and more Biocontrol. 58: 293-298. DOI: 10.1007/S10526-012-9492-9 |
0.321 |
|
2012 |
Tsao YJ, Okuyama T. Foraging strategy switching in an antlion larva. Behavioural Processes. 91: 1-7. PMID 22634046 DOI: 10.1016/J.Beproc.2012.04.012 |
0.336 |
|
2012 |
Wu SH, Okuyama T. Adaptive and variable intraguild predators facilitate local coexistence in an intraguild predation module. Bmc Ecology. 12: 6. PMID 22626442 DOI: 10.1186/1472-6785-12-6 |
0.368 |
|
2012 |
Okuyama T. Flexible components of functional responses. The Journal of Animal Ecology. 81: 185-9. PMID 21644981 DOI: 10.1111/J.1365-2656.2011.01876.X |
0.37 |
|
2012 |
Okuyama T. A likelihood approach for functional response models Biological Control. 60: 103-107. DOI: 10.1016/J.Biocontrol.2011.10.008 |
0.349 |
|
2012 |
Okuyama T. Behavioral states of predators stabilize predator-prey dynamics Theoretical Ecology. 5: 605-610. DOI: 10.1007/S12080-011-0150-0 |
0.363 |
|
2011 |
Fang CC, Okuyama T, Wu WJ, Feng HT, Hsu JC. Fitness costs of an insecticide resistance and their population dynamical consequences in the oriental fruit fly. Journal of Economic Entomology. 104: 2039-45. PMID 22299368 DOI: 10.1603/Ec11200 |
0.332 |
|
2011 |
Okuyama T. Individual variation in prey choice in a predator-prey community. Theoretical Population Biology. 79: 64-9. PMID 21354194 DOI: 10.1016/J.Tpb.2011.02.002 |
0.433 |
|
2011 |
Okuyama T. Biphasic activity of a jumping spider. Die Naturwissenschaften. 98: 15-22. PMID 21085925 DOI: 10.1007/S00114-010-0734-3 |
0.356 |
|
2011 |
Okuyama T, Yang EC, Chen CP, Lin TS, Chuang CL, Jiang JA. Using automated monitoring systems to uncover pest population dynamics in agricultural fields Agricultural Systems. 104: 666-670. DOI: 10.1016/J.Agsy.2011.06.008 |
0.358 |
|
2011 |
Okuyama T, Ruyle RL. Solutions for functional response experiments Acta Oecologica. 37: 512-516. DOI: 10.1016/J.Actao.2011.07.002 |
0.308 |
|
2010 |
Okuyama T. Prey density-dependent handling time in a predator-prey model Community Ecology. 11: 91-96. DOI: 10.1556/Comec.11.2010.1.13 |
0.351 |
|
2009 |
Okuyama T. Local interactions between predators and prey call into question commonly used functional responses Ecological Modelling. 220: 1182-1188. DOI: 10.1016/J.Ecolmodel.2009.02.010 |
0.398 |
|
2009 |
Okuyama T. Intraguild predation in biological control: consideration of multiple resource species Biocontrol. 54: 3-7. DOI: 10.1007/S10526-008-9154-0 |
0.322 |
|
2008 |
Okuyama T. Growth of a jumping spider on nitrogen enriched prey Acta Arachnologica. 57: 47-50. DOI: 10.2476/Asjaa.57.47 |
0.346 |
|
2008 |
Okuyama T. Do mutualistic networks follow power distributions Ecological Complexity. 5: 59-65. DOI: 10.1016/J.Ecocom.2007.06.006 |
0.313 |
|
2008 |
Okuyama T. Intraguild predation with spatially structured interactions Basic and Applied Ecology. 9: 135-144. DOI: 10.1016/J.Baae.2007.01.007 |
0.329 |
|
2008 |
Okuyama T. Individual behavioral variation in predator-prey models Ecological Research. 23: 665-671. DOI: 10.1007/S11284-007-0425-5 |
0.362 |
|
2007 |
Okuyama T, Bolker BM. On quantitative measures of indirect interactions. Ecology Letters. 10: 264-71. PMID 17355565 DOI: 10.1111/J.1461-0248.2007.01019.X |
0.568 |
|
2007 |
Bolker BM, Okuyama T, Bjorndal KA, Bolten AB. Incorporating multiple mixed stocks in mixed stock analysis: 'many-to-many' analyses. Molecular Ecology. 16: 685-95. PMID 17284204 DOI: 10.1111/J.1365-294X.2006.03161.X |
0.604 |
|
2007 |
Okuyama T. Prey of two species of jumping spiders in the field Applied Entomology and Zoology. 42: 663-668. DOI: 10.1303/Aez.2007.663 |
0.338 |
|
2005 |
Okuyama T, Bolker BM. Combining genetic and ecological data to estimate sea turtle origins Ecological Applications. 15: 315-325. DOI: 10.1890/03-5063 |
0.617 |
|
2004 |
Bowen BW, Bass AL, Chow SM, Bostrom M, Bjorndal KA, Bolten AB, Okuyama T, Bolker BM, Epperly S, Lacasella E, Shaver D, Dodd M, Hopkins-Murphy SR, Musick JA, Swingle M, et al. Natal homing in juvenile loggerhead turtles (Caretta caretta). Molecular Ecology. 13: 3797-808. PMID 15548292 DOI: 10.1111/J.1365-294X.2004.02356.X |
0.574 |
|
2003 |
Okuyama T, Ruyle RL. Analysis of adaptive foraging in an intraguild predation system Web Ecology. 4: 1-6. DOI: 10.5194/We-4-1-2003 |
0.381 |
|
2003 |
Bolker B, Okuyama T, Bjorndal K, Bolten A. SEA TURTLE STOCK ESTIMATION USING GENETIC MARKERS: ACCOUNTING FOR SAMPLING ERROR OF RARE GENOTYPES Ecological Applications. 13: 763-775. DOI: 10.1890/1051-0761(2003)013[0763:STSEUG]2.0.CO;2 |
0.502 |
|
2003 |
Bolker B, Okuyama T, Bjorndal K, Bolten A. Sea turtle stock estimation using genetic markers: Accounting for sampling error of rare genotypes Ecological Applications. 13: 763-775. DOI: 10.1890/1051-0761(2003)013[0763:Stseug]2.0.Co;2 |
0.586 |
|
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