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Ricker model

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19: 171:, the carrying capacity in the Ricker model is not a hard barrier that cannot be exceeded by the population, but it only determines the overall scale of the population. The Ricker model was introduced in 1954 by Ricker in the context of 297: 150: 500:
Ricker, W. E. (1975) Computation and Interpretation of Biological Statistics of Fish Populations. Bulletin of the Fisheries Research Board of Canada, No 119. Ottawa.
186:, within-year resource limited competition or even as the outcome of source-sink Malthusian patches linked by density-dependent dispersal. The Ricker model is a 182:
The model can be used to predict the number of fish that will be present in a fishery. Subsequent work has derived the model under other assumptions such as
196: 62: 441: 473: 322: 518: 187: 523: 307: 463: 426: 452: 412: 183: 480: 442:"On the mechanistic underpinning of discrete-time population models with complex dynamics" 8: 513: 22: 427:
Reduction of discrete dynamical systems with applications to dynamics population models
56: + 1 as a function of the number of individuals in the previous generation, 469: 164: 491: 38: 507: 292:{\displaystyle N_{t+1}=k_{1}{\frac {N_{t}}{\left(1+k_{2}N_{t}\right)^{c}}}.} 168: 172: 34: 453:
Reduction of slow–fast discrete models coupling migration and demography
145:{\displaystyle N_{t+1}=N_{t}e^{r\left(1-{\frac {N_{t}}{k}}\right)}.\,} 176: 18: 495: 425:
Bravo de la Parra, R., Marvá, M., Sánchez, E. and Sanz, L. (2013)
451:
Marvá, M., Sánchez, E., Bravo de la Parra, R., Sanz, L. (2009).
413:"The role of competition and clustering in population dynamics" 167:
of the environment. Unlike some other models like the
199: 65: 291: 144: 25:of the Ricker model with carrying capacity of 1000 484:Journal of the Fisheries Research Board of Canada 505: 392: 306: = 1, the Hassell model is simply the 159:is interpreted as an intrinsic growth rate and 383: 190:of the Hassell model which takes the form 52:(or density) of individuals in generation 141: 376: 374: 17: 506: 371: 411:Brännström A and Sumpter DJ (2005) 13: 14: 535: 462:Noakes, David L. G. (Ed.) (2006) 448:, 21 May 2004;228(2):261–9. 323:Population dynamics of fisheries 41:which gives the expected number 440:Geritz SA and Kisdi E (2004). 398:Bravo de la Parra et al (2013) 362: 353: 344: 335: 1: 405: 465:Bill Ricker: an appreciation 368:Brännström and Sumpter(2005) 7: 316: 10: 540: 328: 37:, is a classic discrete 380:Geritz and Kisdi (2004) 422:(1576): 2065–72. 293: 146: 26: 481:Stock and Recruitment 479:Ricker, W. E. (1954) 431:Math Model Nat Phenom 294: 147: 21: 197: 184:scramble competition 63: 519:Population dynamics 308:Beverton–Holt model 175:and recruitment in 23:Bifurcation diagram 468:シュプリンガー・ジャパン株式会社, 389:Marvá et al (2009) 289: 142: 27: 524:Stochastic models 474:978-1-4020-4707-7 284: 165:carrying capacity 129: 531: 399: 396: 390: 387: 381: 378: 369: 366: 360: 357: 351: 348: 342: 339: 298: 296: 295: 290: 285: 283: 282: 277: 273: 272: 271: 262: 261: 240: 239: 230: 228: 227: 215: 214: 151: 149: 148: 143: 137: 136: 135: 131: 130: 125: 124: 115: 94: 93: 81: 80: 39:population model 539: 538: 534: 533: 532: 530: 529: 528: 504: 503: 496:10.1139/f54-039 459:. 258(371-379). 437:(6). pp 107–129 408: 403: 402: 397: 393: 388: 384: 379: 372: 367: 363: 358: 354: 350:de Vries et al. 349: 345: 340: 336: 331: 319: 313: 278: 267: 263: 257: 253: 246: 242: 241: 235: 231: 229: 223: 219: 204: 200: 198: 195: 194: 120: 116: 114: 107: 103: 99: 95: 89: 85: 70: 66: 64: 61: 60: 51: 12: 11: 5: 537: 527: 526: 521: 516: 502: 501: 498: 490:(5): 559–623. 477: 460: 449: 438: 423: 416:Proc Biol Sci. 407: 404: 401: 400: 391: 382: 370: 361: 352: 343: 333: 332: 330: 327: 326: 325: 318: 315: 300: 299: 288: 281: 276: 270: 266: 260: 256: 252: 249: 245: 238: 234: 226: 222: 218: 213: 210: 207: 203: 153: 152: 140: 134: 128: 123: 119: 113: 110: 106: 102: 98: 92: 88: 84: 79: 76: 73: 69: 45: 33:, named after 9: 6: 4: 3: 2: 536: 525: 522: 520: 517: 515: 512: 511: 509: 499: 497: 493: 489: 485: 482: 478: 475: 471: 467: 466: 461: 458: 457:J Theor Biol. 454: 450: 447: 446:J Theor Biol. 443: 439: 436: 432: 428: 424: 421: 417: 414: 410: 409: 395: 386: 377: 375: 365: 356: 347: 341:Ricker (1954) 338: 334: 324: 321: 320: 314: 311: 309: 305: 286: 279: 274: 268: 264: 258: 254: 250: 247: 243: 236: 232: 224: 220: 216: 211: 208: 205: 201: 193: 192: 191: 189: 188:limiting case 185: 180: 178: 174: 170: 166: 162: 158: 138: 132: 126: 121: 117: 111: 108: 104: 100: 96: 90: 86: 82: 77: 74: 71: 67: 59: 58: 57: 55: 49: 44: 40: 36: 32: 24: 20: 16: 487: 483: 464: 456: 445: 434: 430: 419: 415: 394: 385: 364: 355: 346: 337: 312: 303: 301: 181: 169:Logistic map 160: 156: 154: 53: 47: 42: 31:Ricker model 30: 28: 15: 35:Bill Ricker 514:Demography 508:Categories 406:References 177:fisheries 112:− 317:See also 359:Marland 163:as the 472:  46:  329:Notes 302:When 173:stock 155:Here 470:ISBN 29:The 492:doi 444:. 420:272 510:: 488:11 486:, 455:. 433:. 429:. 418:, 373:^ 310:. 179:. 50:+1 494:: 476:. 435:8 304:c 287:. 280:c 275:) 269:t 265:N 259:2 255:k 251:+ 248:1 244:( 237:t 233:N 225:1 221:k 217:= 212:1 209:+ 206:t 202:N 161:k 157:r 139:. 133:) 127:k 122:t 118:N 109:1 105:( 101:r 97:e 91:t 87:N 83:= 78:1 75:+ 72:t 68:N 54:t 48:t 43:N

Index


Bifurcation diagram
Bill Ricker
population model
carrying capacity
Logistic map
stock
fisheries
scramble competition
limiting case
Beverton–Holt model
Population dynamics of fisheries


"The role of competition and clustering in population dynamics"
Reduction of discrete dynamical systems with applications to dynamics population models
"On the mechanistic underpinning of discrete-time population models with complex dynamics"
Reduction of slow–fast discrete models coupling migration and demography
Bill Ricker: an appreciation
ISBN
978-1-4020-4707-7
Stock and Recruitment
doi
10.1139/f54-039
Categories
Demography
Population dynamics
Stochastic models

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