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Mark and recapture

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261: 92:'s size where it is impractical to count every individual. A portion of the population is captured, marked, and released. Later, another portion will be captured and the number of marked individuals within the sample is counted. Since the number of marked individuals within the second sample should be proportional to the number of marked individuals in the whole population, an estimate of the total population size can be obtained by dividing the number of marked individuals by the proportion of marked individuals in the second sample. The method assumes, rightly or wrongly, that the probability of capture is the same for all individuals. Other names for this method, or closely related methods, include 249: 25: 160: 234: 219: 335:) can be used to estimate population size if only two visits are made to the study area. This method assumes that the study population is "closed". In other words, the two visits to the study area are close enough in time so that no individuals die, are born, or move into or out of the study area between visits. The model also assumes that no marks fall off animals between visits to the field site by the researcher, and that the researcher correctly records all marks. 1769: 2265: 196:
of individuals. Some individuals in this second sample will have been marked during the initial visit and are now known as recaptures. Other organisms captured during the second visit, will not have been captured during the first visit to the study area. These unmarked animals are usually given a tag
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Population size can be estimated from as few as two visits to the study area. Commonly, more than two visits are made, particularly if estimates of survival or movement are desired. Regardless of the total number of visits, the researcher simply records the date of each capture of each individual.
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Maunder, M.N. (2001) Integrated Tagging and Catch-at-Age Analysis (ITCAAN). In Spatial Processes and Management of Fish Populations, edited by G.H. Kruse, N. Bez, A. Booth, M.W. Dorn, S. Hills, R.N. Lipcius, D. Pelletier, C. Roy, S.J. Smith, and D. Witherell, Alaska Sea Grant College Program Report
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A biologist wants to estimate the size of a population of turtles in a lake. She captures 10 turtles on her first visit to the lake, and marks their backs with paint. A week later she returns to the lake and captures 15 turtles. Five of these 15 turtles have paint on their backs, indicating that
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visits a study area and uses traps to capture a group of individuals alive. Each of these individuals is marked with a unique identifier (e.g., a numbered tag or band), and then is released unharmed back into the environment. A mark-recapture method was first used for ecological study in 1896 by
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is the frequency of time that the problem (e.g., an animal disease) occurs in the high-risk versus the low-risk sector. For example, an application of the model in the 1920s was to detect typhoid carriers in London, who were either arriving from zones with high rates of tuberculosis (probability
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The literature on the analysis of capture-recapture studies has blossomed since the early 1990s. There are very elaborate statistical models available for the analysis of these experiments. A simple model which easily accommodates the three source, or the three visit study, is to fit a
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where the first term refers to the probability of detection (capture probability) in a high risk zone, and the latter term refers to the probability of detection in a low risk zone. Importantly, the formula can be re-written as a linear equation in terms of
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It is assumed that all individuals have the same probability of being captured in the second sample, regardless of whether they were previously captured in the first sample (with only two samples, this assumption cannot be tested directly).
2218:. These include "Spatially Explicit Capture-Recapture (secr)", "Loglinear Models for Capture-Recapture Experiments (Rcapture)", and "Mark-Recapture Distance Sampling (mrds)". Such models can also be fit with specialized programs such as 2027: 897: 1232: 2138: 650: 1908: 1714: 761: 2233:(used in open populations and for multiple census estimates) and Schnabel estimators (an expansion to the Lincoln–Petersen method for closed populations). These are described in detail by Sutherland. 1508: 925:+1) will be the estimate. The above form is more convenient for mathematical purposes."(see footnote, page 144). Chapman also found the estimator could have considerable negative bias for small 1584: 506: 562: 389: 204:
When capturing and marking organisms, ecologists need to consider the welfare of the organisms. If the chosen identifier harms the organism, then its behavior might become irregular.
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Besbeas, P; Freeman, S. N.; Morgan, B. J. T.; Catchpole, E. A. (2002). "Integrating mark-recapture-recovery and census data to estimate animal abundance and demographic parameters".
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level even for small populations and extreme capture probabilities (near to 0 or 1), in which cases other confidence intervals fail to achieve the nominal coverage levels.
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Maunder M.N. (2003) Paradigm shifts in fisheries stock assessment: from integrated analysis to Bayesian analysis and back again. Natural Resource Modeling 16:465–475
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is defined as the fraction of a finite resource devoted to detecting the animal or person of interest from a high risk sector of an animal or human population, and
457: 429: 2230: 1924: 777: 459:). For example, if half of the marked individuals were recaptured, it would be assumed that half of the total population was included in the second sample. 1818:). It was posited that only 5 out of 100 of the travelers could be detected, and 10 out of 100 were from the high risk area. Then the capture probability 2219: 1790:
The capture probability refers to the probability of a detecting an individual animal or person of interest, and has been used in both ecology and
1402:{\displaystyle {\hat {\sigma }}_{0.5}={\sqrt {{\frac {1}{k+0.5}}+{\frac {1}{K-k+0.5}}+{\frac {1}{n-k+0.5}}+{\frac {k+0.5}{(n-k+0.5)(K-k+0.5)}}}}.} 660:
The Lincoln–Petersen estimator is asymptotically unbiased as sample size approaches infinity, but is biased at small sample sizes. An alternative
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models and other types of data. The integrated approach is more computationally demanding, but extracts more information from the data improving
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Surprisingly, Chapman's estimate was one conjecture from a range of possible estimators: "In practice, the whole number immediately less than (
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Phillips, C. A.; M. J. Dreslik; J. R. Johnson; J. E. Petzing (2001). "Application of population estimation to pond breeding salamanders".
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Note that the answer provided by this equation must be truncated not rounded. Thus, the Chapman method estimates 28 turtles in the lake.
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Schofield, J. R. (2007). "Beyond Defect Removal: Latent Defect Estimation With Capture-Recapture Method", Crosstalk, August 2007; 27–29.
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Sadinle, Mauricio (2009-10-01). "Transformed Logit Confidence Intervals for Small Populations in Single Capture–Recapture Estimation".
2832: 3334: 2223: 3163:; Tsay, P. K.; Lin, S. H.; Shau, W. Y.; Chao, D. Y. (2001). "The applications of capture-recapture models to epidemiological data". 2387:; Tsay, P. K.; Lin, S. H.; Shau, W. Y.; Chao, D. Y. (2001). "The applications of capture-recapture models to epidemiological data". 1828: 1616: 674: 3236:
Evans, M.A.; Bonett, D.G.; McDonald, L. (1994). "A General Theory for Analyzing Capture-recapture Data in Closed Populations".
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Sufficient time should be allowed to pass for the marked individuals to redistribute themselves among the unmarked population.
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Maunder, M. N. (2004). "Population viability analysis, based on combining integrated, Bayesian, and hierarchical analyses".
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Drenner, Ray (1978). "Capture probability: the role of zooplankter escape in the selective feeding of planktivorous fish".
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Arkiv för Zoologi (Zoology Files), Kungliga Svenska Vetenskapsakademien (The Royal Swedish Academy of Sciences) Serie 2
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Modelling mark-recapture data is trending towards a more integrative approach, which combines mark-recapture data with
1746: 135:, where they are used to estimate the completeness of ascertainment of disease registers. Typical applications include 3329: 3207:
Bonett, D.G.; Woodward, J.A.; Bentler, P.M. (1986). "A Linear Model for Estimating the Size of a Closed Population".
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MacKenzie, Darryl (2002). "How should detection probability be incorporated into estimates of relative abundance?".
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In the example (n, K, k) = (10, 15, 5) the Lincoln–Petersen method estimates that there are 30 turtles in the lake.
468: 39: 2389: 3090: 2048:, for which the slope of the line is negative, all of the detection should be devoted to the low-risk population ( 201:
The "capture histories" generated are analyzed mathematically to estimate population size, survival, or movement.
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elderly living in the community), or with particular conditions (e.g. illegal drug addicts, people infected with
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It has been shown that this confidence interval has actual coverage probabilities that are close to the nominal
3314: 2878: 1142:{\displaystyle K+n-k-0.5+{\frac {(K-k+0.5)(n-k+0.5)}{(k+0.5)}}\exp(\pm z_{\alpha /2}{\hat {\sigma }}_{0.5}),} 164: 218: 3277:
Petersen, C. G. J. (1896). "The Yearly Immigration of Young Plaice Into the Limfjord From the German Sea",
2149: 3339: 2319: 1425: 944: 933:(page 146), but was unconcerned because the estimated standard deviations were large for these cases. 2194: 3091:"Use of Integrated Modeling to Enhance Estimates of Population Dynamics Obtained from Limited Data" 2299: 33: 2559:
Some properties of the hypergeometric distribution with applications to zoological sample censuses
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they are recaptured animals. This example is (n, K, k) = (10, 15, 5). The problem is to estimate
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model. Sophisticated mark-recapture models can be fit with several packages for the Open Source
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This implies that, in the second sample, the proportion of marked individuals that are caught (
177: 50: 2796: 3319: 2294: 1779: 182: 140: 2040:) is positive, all of the detection resource should be devoted to the high-risk population ( 1719: 1589: 3105: 3018: 2836: 2289: 2022:{\displaystyle P=\left({\frac {5}{10}}q-{\frac {5}{90}}(1-q)\right)f+{\frac {5}{90}}(1-q).} 1783: 3265:
Lincoln, F. C. (1930). "Calculating Waterfowl Abundance on the Basis of Banding Returns".
2996:(1961). "Mortality rate calculations on ringed birds with special reference to the Dunlin 2818: 2774: 892:{\displaystyle {\hat {N}}_{C}={\frac {(n+1)(K+1)}{k+1}}-1={\frac {11\times 16}{6}}-1=28.3} 8: 2278: 2242: 2186: 1224: 979: 661: 434: 406: 193: 3109: 3022: 3253: 3220: 3188: 3129: 2981: 2895: 2715: 2698: 2597: 2481: 2458: 2433: 2414: 2211: 3224: 3180: 3146: 3121: 3117: 3075: 3056: 2973: 2969: 2955: 2918: 2752: 2720: 2677: 2601: 2589: 2530: 2500: 2463: 2406: 2364: 2198: 3133: 2993: 2985: 2817:
Laake, Jeff; Borchers, David; Thomas, Len; Miller, David; Bishop, Jon (2015-08-17).
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should be set to 1 to maximize the capture probability), whereas for other value of
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the number of people needing particular services (e.g. services for children with
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Schnabel, Z. E. (1938). "The Estimation of the Total Fish Population of a Lake".
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Because this is a linear function, it follows that for certain versions of
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The capture probability is often defined as a two-variable model, in which
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for which the slope will be positive to determine the values for which
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should be set to 0. We can solve the above equation for the values of
645:{\displaystyle {\hat {N}}={\frac {nK}{k}}={\frac {10\times 15}{5}}=30} 431:) should equal the proportion of the total population that is marked ( 3160: 2384: 2246: 3299: 3249: 3176: 3159: 2891: 2739: 2628: 2402: 2281:, for estimation of population size when the elements are numbered. 1220: 3140: 240: 85: 2561:. UC Publications in Statistics. University of California Press. 1810:
that a passenger with the disease came from such an area, where
2797:"Loglinear Models for Capture-Recapture Experiments (Rcapture)" 2036:
for which the slope of this line (the first term multiplied by
1903:{\displaystyle P={\frac {5}{10}}fq+{\frac {5}{90}}(1-f)(1-q),} 1709:{\displaystyle \epsilon ={\frac {(n-k+1)(K-k+1)}{(k-2)(k-3)}}} 2947:
No. AK-SG-01-02, University of Alaska Fairbanks, pp. 123–146.
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10.1890/0012-9658(2002)083[2387:hsdpbi]2.0.co;2
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British Journal of Mathematical and Statistical Psychology
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The Estimation of Animal Abundance and Related Parameters
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Communications in Statistics - Simulation and Computation
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The Estimation of Animal Abundance and Related Parameters
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Schaub, M; Gimenez, O.; Sierro, A.; Arlettaz, R (2007).
2363:(6th ed.). Pearson Benjamin Cummings. p. 119. 2060:
should be set to 1 to maximize the capture probability:
1503:{\displaystyle N\approx \mu \pm {\sqrt {\mu \epsilon }}} 2229:
Other related methods which are often used include the
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or band during the second visit and then are released.
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A historical introduction to capture-recapture methods
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Rivest, Louis-Paul; Baillargeon, Sophie (2014-09-01).
2482:"Recapture Definition & Meaning - Merriam-Webster" 2189:. In more complex cases, where more than one resource 1794:
for detecting animal or human diseases, respectively.
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Given those conditions, estimated population size is:
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Williams, B. K.; J. D. Nichols; M. J. Conroy (2002).
2912: 2152: 2069: 1927: 1831: 1722: 1619: 1592: 1522: 1477: 1428: 1235: 1192: 994: 947: 780: 677: 584: 520: 471: 437: 409: 347: 2260: 3235: 3050: 2343: 2174: 2132: 2021: 1902: 1734: 1708: 1604: 1578: 1502: 1452: 1401: 1212: 1178: 1141: 971: 891: 755: 644: 567:the formula used for the Lincoln–Petersen method. 556: 500: 451: 423: 383: 192:Next, the researcher returns and captures another 131:Another major application for these methods is in 2794: 1419:≈ 30 with a 95% confidence interval of 22 to 65. 3306: 3267:United States Department of Agriculture Circular 2522: 2193:is devoted to more than two areas, multivariate 298:= Number of animals captured on the second visit 3040:Transactions of the Illinois Academy of Science 2383: 304:= Number of recaptured animals that were marked 3279:Report of the Danish Biological Station (1895) 3053:Hierarchical Modeling and Inference in Ecology 1579:{\displaystyle \mu ={\frac {(n-1)(K-1)}{k-2}}} 501:{\displaystyle {\frac {k}{K}}={\frac {n}{N}}.} 3143:Analysis and Management of Animal Populations 2775:"Spatially Explicit Capture-Recapture (secr)" 2556: 2552: 2550: 2548: 2546: 1747:Talk:Mark and recapture#Statistical treatment 331:(also known as the Petersen–Lincoln index or 316: 292:= Number of animals marked on the first visit 2518: 2516: 2344:Southwood, T. R. E.; Henderson, P. (2000). 2339: 2337: 2335: 2333: 2331: 2329: 557:{\displaystyle {\hat {N}}={\frac {nK}{k}},} 384:{\displaystyle {\hat {N}}={\frac {nK}{k}},} 2992: 2906: 2543: 2348:(3rd ed.). Oxford: Blackwell Science. 771:The example (n, K, k) = (10, 15, 5) gives 3145:. San Diego, California: Academic Press. 2851: 2821:. Comprehensive R Archive Network (CRAN). 2819:"Mark-Recapture Distance Sampling (mrds)" 2714: 2641: 2457: 209:Different methods of "mark and recapture" 69:Learn how and when to remove this message 3074:. Caldwel, New Jersey: Blackburn Press. 2940: 2931: 2915:Ecological Census Techniques: A Handbook 2875: 2799:. Comprehensive R Archive Network (CRAN) 2777:. Comprehensive R Archive Network (CRAN) 2617:Journal of the Fisheries Board of Canada 2513: 2499:. Caldwel, New Jersey: Blackburn Press. 2352: 2326: 2236: 1767: 158: 32:This article includes a list of general 3264: 3008: 2737:McCrea, R.S. and Morgan, B.J.T. (2014) 2696: 2614: 2571: 2204: 1468:The mean value ± standard deviation is 766: 3307: 2772: 2731: 2671: 1814:>0.5), or low rates (probability 1− 1763: 936: 3069: 2667: 2665: 2494: 2431: 2358: 2175:{\displaystyle q>{\frac {1}{10}}.} 570: 286:= Number of animals in the population 3051:Royle, J. A.; R. M. Dorazio (2008). 2825: 2740:"Analysis of capture-recapture data" 2488: 2425: 1756:) = (10, 15, 5) gives the estimate 1463: 1415:) = (10, 15, 5) gives the estimate 655: 254:Marked Chittenango ovate amber snail 155:Field work related to mark-recapture 18: 2913:William J. Sutherland, ed. (1996). 2529:(2nd ed.). Benjamin/Cummings. 2377: 664:of population size is given by the 16:Animal population estimation method 13: 3300:Analysis of capture-recapture data 3221:10.1111/j.2044-8317.1986.tb00843.x 3200: 2662: 1447: 966: 38:it lacks sufficient corresponding 14: 3351: 3288: 2438:American Journal of Public Health 3335:Environmental Sampling Equipment 3118:10.1111/j.1523-1739.2007.00743.x 2970:10.1111/j.0006-341X.2002.00540.x 2263: 1453:{\displaystyle 100(1-\alpha )\%} 972:{\displaystyle 100(1-\alpha )\%} 259: 247: 232: 217: 23: 2869: 2810: 2788: 2766: 2690: 2674:Ecological Models and Data in R 2635: 2608: 2565: 2917:. Cambridge University Press. 2676:. Princeton University Press. 2474: 2312: 2113: 2101: 2013: 2001: 1977: 1965: 1894: 1882: 1879: 1867: 1700: 1688: 1685: 1673: 1668: 1650: 1647: 1629: 1559: 1547: 1544: 1532: 1444: 1432: 1388: 1370: 1367: 1349: 1243: 1133: 1121: 1090: 1078: 1066: 1061: 1043: 1040: 1022: 963: 951: 833: 821: 818: 806: 788: 730: 718: 715: 703: 685: 591: 527: 511:A rearrangement of this gives 354: 1: 2879:American Mathematical Monthly 2773:Efford, Murray (2016-09-02). 2305: 394: 165:Chittenango ovate amber snail 84:is a method commonly used in 2753:"Chapman and Hall/CRC Press" 1745:A derivation is found here: 7: 3031:10.1016/j.actao.2003.11.008 2432:Allen; et al. (2019). 2256: 2197:is often used, through the 1213:{\displaystyle 1-\alpha /2} 274: 114:multiple systems estimation 10: 3356: 2359:Krebs, Charles J. (2009). 1179:{\textstyle z_{\alpha /2}} 320: 317:Lincoln–Petersen estimator 167:to monitor the population. 2672:Bolker, Benjamin (2008). 2586:10.1080/03610910903168595 2523:Charles J. Krebs (1999). 3330:Environmental statistics 2495:Seber, G. A. F. (1982). 2450:10.2105/AJPH.2018.304873 2300:Shadow Effect (Genetics) 982:for the population size 329:Lincoln–Petersen method 163:Biologist is marking a 53:more precise citations. 3325:Statistical data types 3165:Statistics in Medicine 3070:Seber, G.A.F. (2002). 2699:"The Health of London" 2557:Chapman, D.G. (1951). 2526:Ecological Methodology 2390:Statistics in Medicine 2216:R programming language 2185:This is an example of 2176: 2134: 2023: 1904: 1787: 1736: 1735:{\displaystyle k>3} 1710: 1606: 1605:{\displaystyle k>2} 1580: 1504: 1454: 1403: 1214: 1180: 1143: 973: 893: 757: 646: 558: 502: 453: 425: 385: 178:C.G. Johannes Petersen 168: 110:mark-release-recapture 98:capture-mark-recapture 88:to estimate an animal 3315:Ecological techniques 2295:GPS wildlife tracking 2237:Integrated approaches 2177: 2143:which simplifies to: 2135: 2024: 1905: 1780:London Wildlife Trust 1771: 1737: 1711: 1607: 1581: 1505: 1455: 1404: 1227:random variable, and 1215: 1181: 1144: 974: 894: 758: 662:less biased estimator 647: 559: 503: 454: 426: 386: 266:Tagged Common Ringlet 183:Pleuronectes platessa 162: 141:learning disabilities 3098:Conservation Biology 2290:Abundance estimation 2205:More than two visits 2201:or its derivatives. 2150: 2067: 1925: 1829: 1786:local nature reserve 1784:Gunnersbury Triangle 1720: 1617: 1590: 1520: 1475: 1426: 1233: 1190: 1155: 992: 986:can be obtained as: 945: 778: 675: 582: 518: 469: 435: 407: 345: 180:to estimate plaice, 3110:2007ConBi..21..945S 3023:2004AcO....26...85M 2839:on 21 February 2006 2279:German tank problem 2243:population dynamics 2187:linear optimization 1764:Capture probability 1186:corresponds to the 980:confidence interval 937:Confidence interval 452:{\displaystyle n/N} 424:{\displaystyle k/K} 122:the Petersen method 3340:Population ecology 2346:Ecological Methods 2212:Poisson regression 2172: 2130: 2019: 1900: 1788: 1732: 1706: 1602: 1576: 1500: 1450: 1399: 1210: 1176: 1139: 969: 889: 767:Sample calculation 753: 642: 571:Sample calculation 554: 498: 449: 421: 381: 169: 126:the Lincoln method 82:Mark and recapture 3171:(20): 3123–3157. 3062:978-1-930665-55-2 2623:(10): 1370–1373. 2484:. 21 August 2023. 2397:(20): 3123–3157. 2370:978-0-321-50743-3 2231:Jolly–Seber model 2199:simplex algorithm 2167: 2099: 2083: 1999: 1963: 1947: 1865: 1846: 1704: 1574: 1498: 1464:Bayesian estimate 1394: 1392: 1330: 1303: 1276: 1246: 1124: 1082: 875: 848: 791: 745: 688: 666:Chapman estimator 656:Chapman estimator 634: 613: 594: 549: 530: 493: 480: 376: 357: 94:capture-recapture 79: 78: 71: 3347: 3274: 3261: 3232: 3196: 3156: 3137: 3095: 3085: 3066: 3047: 3034: 3005: 2989: 2948: 2944: 2938: 2935: 2929: 2928: 2910: 2904: 2903: 2873: 2867: 2866: 2861:. Archived from 2855: 2849: 2848: 2846: 2844: 2835:. Archived from 2829: 2823: 2822: 2814: 2808: 2807: 2805: 2804: 2792: 2786: 2785: 2783: 2782: 2770: 2764: 2763: 2761: 2759: 2750: 2748: 2746: 2735: 2729: 2728: 2718: 2697:Unknown (1921). 2694: 2688: 2687: 2669: 2660: 2659: 2650:(9): 2387–2393. 2639: 2633: 2632: 2612: 2606: 2605: 2580:(9): 1909–1924. 2569: 2563: 2562: 2554: 2541: 2540: 2520: 2511: 2510: 2492: 2486: 2485: 2478: 2472: 2471: 2461: 2429: 2423: 2422: 2381: 2375: 2374: 2356: 2350: 2349: 2341: 2324: 2323: 2320:"Mark-Recapture" 2316: 2273: 2268: 2267: 2266: 2181: 2179: 2178: 2173: 2168: 2160: 2139: 2137: 2136: 2131: 2120: 2116: 2100: 2092: 2084: 2076: 2028: 2026: 2025: 2020: 2000: 1992: 1984: 1980: 1964: 1956: 1948: 1940: 1909: 1907: 1906: 1901: 1866: 1858: 1847: 1839: 1822:was defined as: 1775:Myodes glareolus 1741: 1739: 1738: 1733: 1715: 1713: 1712: 1707: 1705: 1703: 1671: 1627: 1611: 1609: 1608: 1603: 1585: 1583: 1582: 1577: 1575: 1573: 1562: 1530: 1509: 1507: 1506: 1501: 1499: 1491: 1459: 1457: 1456: 1451: 1408: 1406: 1405: 1400: 1395: 1393: 1391: 1347: 1336: 1331: 1329: 1309: 1304: 1302: 1282: 1277: 1275: 1261: 1259: 1254: 1253: 1248: 1247: 1239: 1219: 1217: 1216: 1211: 1206: 1185: 1183: 1182: 1177: 1175: 1174: 1170: 1148: 1146: 1145: 1140: 1132: 1131: 1126: 1125: 1117: 1113: 1112: 1108: 1083: 1081: 1064: 1020: 978: 976: 975: 970: 898: 896: 895: 890: 876: 871: 860: 849: 847: 836: 804: 799: 798: 793: 792: 784: 762: 760: 759: 754: 746: 744: 733: 701: 696: 695: 690: 689: 681: 651: 649: 648: 643: 635: 630: 619: 614: 609: 601: 596: 595: 587: 563: 561: 560: 555: 550: 545: 537: 532: 531: 523: 507: 505: 504: 499: 494: 486: 481: 473: 458: 456: 455: 450: 445: 430: 428: 427: 422: 417: 390: 388: 387: 382: 377: 372: 364: 359: 358: 350: 263: 251: 236: 221: 74: 67: 63: 60: 54: 49:this article by 40:inline citations 27: 26: 19: 3355: 3354: 3350: 3349: 3348: 3346: 3345: 3344: 3305: 3304: 3291: 3250:10.2307/2533383 3203: 3201:Further reading 3177:10.1002/sim.996 3153: 3093: 3082: 3063: 3011:Acta Oecologica 3004:. Band 13 (21). 2998:Calidris alpina 2952: 2951: 2945: 2941: 2936: 2932: 2925: 2911: 2907: 2892:10.2307/2304025 2874: 2870: 2857: 2856: 2852: 2842: 2840: 2831: 2830: 2826: 2815: 2811: 2802: 2800: 2793: 2789: 2780: 2778: 2771: 2767: 2757: 2755: 2751: 2744: 2742: 2738: 2736: 2732: 2703:Hosp Health Rev 2695: 2691: 2684: 2670: 2663: 2640: 2636: 2629:10.1139/f78-215 2613: 2609: 2570: 2566: 2555: 2544: 2537: 2521: 2514: 2507: 2493: 2489: 2480: 2479: 2475: 2430: 2426: 2403:10.1002/sim.996 2382: 2378: 2371: 2357: 2353: 2342: 2327: 2318: 2317: 2313: 2308: 2285:Tag and release 2269: 2264: 2262: 2259: 2239: 2207: 2159: 2151: 2148: 2147: 2091: 2075: 2074: 2070: 2068: 2065: 2064: 1991: 1955: 1939: 1938: 1934: 1926: 1923: 1922: 1857: 1838: 1830: 1827: 1826: 1766: 1721: 1718: 1717: 1672: 1628: 1626: 1618: 1615: 1614: 1591: 1588: 1587: 1563: 1531: 1529: 1521: 1518: 1517: 1490: 1476: 1473: 1472: 1466: 1427: 1424: 1423: 1348: 1337: 1335: 1313: 1308: 1286: 1281: 1265: 1260: 1258: 1249: 1238: 1237: 1236: 1234: 1231: 1230: 1202: 1191: 1188: 1187: 1166: 1162: 1158: 1156: 1153: 1152: 1127: 1116: 1115: 1114: 1104: 1100: 1096: 1065: 1021: 1019: 993: 990: 989: 946: 943: 942: 941:An approximate 939: 861: 859: 837: 805: 803: 794: 783: 782: 781: 779: 776: 775: 769: 734: 702: 700: 691: 680: 679: 678: 676: 673: 672: 658: 620: 618: 602: 600: 586: 585: 583: 580: 579: 573: 538: 536: 522: 521: 519: 516: 515: 485: 472: 470: 467: 466: 441: 436: 433: 432: 413: 408: 405: 404: 397: 365: 363: 349: 348: 346: 343: 342: 325: 319: 277: 272: 271: 270: 267: 264: 255: 252: 243: 237: 228: 222: 211: 210: 186:, populations. 157: 145:medically frail 143:, services for 75: 64: 58: 55: 45:Please help to 44: 28: 24: 17: 12: 11: 5: 3353: 3343: 3342: 3337: 3332: 3327: 3322: 3317: 3303: 3302: 3297: 3290: 3289:External links 3287: 3286: 3285: 3282: 3275: 3262: 3244:(2): 396–405. 3233: 3202: 3199: 3198: 3197: 3157: 3151: 3138: 3104:(4): 945–955. 3086: 3080: 3067: 3061: 3048: 3035: 3006: 2994:Martin-Löf, P. 2990: 2964:(3): 540–547. 2950: 2949: 2939: 2930: 2923: 2905: 2886:(6): 348–352. 2868: 2865:on 2009-07-24. 2850: 2833:"Program MARK" 2824: 2809: 2787: 2765: 2730: 2689: 2682: 2661: 2634: 2607: 2564: 2542: 2535: 2512: 2505: 2487: 2473: 2444:(3): 445–450. 2424: 2376: 2369: 2351: 2325: 2310: 2309: 2307: 2304: 2303: 2302: 2297: 2292: 2287: 2282: 2275: 2274: 2271:Ecology portal 2258: 2255: 2238: 2235: 2206: 2203: 2183: 2182: 2171: 2166: 2163: 2158: 2155: 2141: 2140: 2129: 2126: 2123: 2119: 2115: 2112: 2109: 2106: 2103: 2098: 2095: 2090: 2087: 2082: 2079: 2073: 2030: 2029: 2018: 2015: 2012: 2009: 2006: 2003: 1998: 1995: 1990: 1987: 1983: 1979: 1976: 1973: 1970: 1967: 1962: 1959: 1954: 1951: 1946: 1943: 1937: 1933: 1930: 1911: 1910: 1899: 1896: 1893: 1890: 1887: 1884: 1881: 1878: 1875: 1872: 1869: 1864: 1861: 1856: 1853: 1850: 1845: 1842: 1837: 1834: 1765: 1762: 1743: 1742: 1731: 1728: 1725: 1702: 1699: 1696: 1693: 1690: 1687: 1684: 1681: 1678: 1675: 1670: 1667: 1664: 1661: 1658: 1655: 1652: 1649: 1646: 1643: 1640: 1637: 1634: 1631: 1625: 1622: 1612: 1601: 1598: 1595: 1572: 1569: 1566: 1561: 1558: 1555: 1552: 1549: 1546: 1543: 1540: 1537: 1534: 1528: 1525: 1511: 1510: 1497: 1494: 1489: 1486: 1483: 1480: 1465: 1462: 1449: 1446: 1443: 1440: 1437: 1434: 1431: 1398: 1390: 1387: 1384: 1381: 1378: 1375: 1372: 1369: 1366: 1363: 1360: 1357: 1354: 1351: 1346: 1343: 1340: 1334: 1328: 1325: 1322: 1319: 1316: 1312: 1307: 1301: 1298: 1295: 1292: 1289: 1285: 1280: 1274: 1271: 1268: 1264: 1257: 1252: 1245: 1242: 1223:of a standard 1209: 1205: 1201: 1198: 1195: 1173: 1169: 1165: 1161: 1138: 1135: 1130: 1123: 1120: 1111: 1107: 1103: 1099: 1095: 1092: 1089: 1086: 1080: 1077: 1074: 1071: 1068: 1063: 1060: 1057: 1054: 1051: 1048: 1045: 1042: 1039: 1036: 1033: 1030: 1027: 1024: 1018: 1015: 1012: 1009: 1006: 1003: 1000: 997: 968: 965: 962: 959: 956: 953: 950: 938: 935: 900: 899: 888: 885: 882: 879: 874: 870: 867: 864: 858: 855: 852: 846: 843: 840: 835: 832: 829: 826: 823: 820: 817: 814: 811: 808: 802: 797: 790: 787: 768: 765: 764: 763: 752: 749: 743: 740: 737: 732: 729: 726: 723: 720: 717: 714: 711: 708: 705: 699: 694: 687: 684: 657: 654: 653: 652: 641: 638: 633: 629: 626: 623: 617: 612: 608: 605: 599: 593: 590: 572: 569: 565: 564: 553: 548: 544: 541: 535: 529: 526: 509: 508: 497: 492: 489: 484: 479: 476: 448: 444: 440: 420: 416: 412: 396: 393: 392: 391: 380: 375: 371: 368: 362: 356: 353: 321:Main article: 318: 315: 306: 305: 299: 293: 287: 276: 273: 269: 268: 265: 258: 256: 253: 246: 244: 238: 231: 229: 224:Collar-tagged 223: 216: 213: 212: 208: 207: 206: 156: 153: 102:mark-recapture 77: 76: 31: 29: 22: 15: 9: 6: 4: 3: 2: 3352: 3341: 3338: 3336: 3333: 3331: 3328: 3326: 3323: 3321: 3318: 3316: 3313: 3312: 3310: 3301: 3298: 3296: 3293: 3292: 3283: 3280: 3276: 3272: 3268: 3263: 3259: 3255: 3251: 3247: 3243: 3239: 3234: 3230: 3226: 3222: 3218: 3214: 3210: 3205: 3204: 3194: 3190: 3186: 3182: 3178: 3174: 3170: 3166: 3162: 3158: 3154: 3152:0-12-754406-2 3148: 3144: 3139: 3135: 3131: 3127: 3123: 3119: 3115: 3111: 3107: 3103: 3099: 3092: 3087: 3083: 3081:1-930665-55-5 3077: 3073: 3068: 3064: 3058: 3054: 3049: 3046:(2): 111–118. 3045: 3041: 3036: 3032: 3028: 3024: 3020: 3016: 3012: 3007: 3003: 2999: 2995: 2991: 2987: 2983: 2979: 2975: 2971: 2967: 2963: 2959: 2954: 2953: 2943: 2934: 2926: 2924:0-521-47815-4 2920: 2916: 2909: 2901: 2897: 2893: 2889: 2885: 2881: 2880: 2872: 2864: 2860: 2854: 2838: 2834: 2828: 2820: 2813: 2798: 2791: 2776: 2769: 2754: 2741: 2734: 2726: 2722: 2717: 2712: 2708: 2704: 2700: 2693: 2685: 2683:9781400840908 2679: 2675: 2668: 2666: 2657: 2653: 2649: 2645: 2638: 2630: 2626: 2622: 2618: 2611: 2603: 2599: 2595: 2591: 2587: 2583: 2579: 2575: 2568: 2560: 2553: 2551: 2549: 2547: 2538: 2536:9780321021731 2532: 2528: 2527: 2519: 2517: 2508: 2506:1-930665-55-5 2502: 2498: 2491: 2483: 2477: 2469: 2465: 2460: 2455: 2451: 2447: 2443: 2439: 2435: 2428: 2420: 2416: 2412: 2408: 2404: 2400: 2396: 2392: 2391: 2386: 2380: 2372: 2366: 2362: 2355: 2347: 2340: 2338: 2336: 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1526: 1523: 1516: 1515: 1514: 1495: 1492: 1487: 1484: 1481: 1478: 1471: 1470: 1469: 1461: 1441: 1438: 1435: 1429: 1420: 1418: 1414: 1411:The example ( 1409: 1396: 1385: 1382: 1379: 1376: 1373: 1364: 1361: 1358: 1355: 1352: 1344: 1341: 1338: 1332: 1326: 1323: 1320: 1317: 1314: 1310: 1305: 1299: 1296: 1293: 1290: 1287: 1283: 1278: 1272: 1269: 1266: 1262: 1255: 1250: 1240: 1228: 1226: 1222: 1207: 1203: 1199: 1196: 1193: 1171: 1167: 1163: 1159: 1149: 1136: 1128: 1118: 1109: 1105: 1101: 1097: 1093: 1087: 1084: 1075: 1072: 1069: 1058: 1055: 1052: 1049: 1046: 1037: 1034: 1031: 1028: 1025: 1016: 1013: 1010: 1007: 1004: 1001: 998: 995: 987: 985: 981: 960: 957: 954: 948: 934: 932: 928: 924: 920: 916: 912: 908: 903: 886: 883: 880: 877: 872: 868: 865: 862: 856: 853: 850: 844: 841: 838: 830: 827: 824: 815: 812: 809: 800: 795: 785: 774: 773: 772: 750: 747: 741: 738: 735: 727: 724: 721: 712: 709: 706: 697: 692: 682: 671: 670: 669: 667: 663: 639: 636: 631: 627: 624: 621: 615: 610: 606: 603: 597: 588: 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Elsevier. 3052: 3043: 3039: 3017:(2): 85–94. 3014: 3010: 3001: 2997: 2961: 2957: 2942: 2933: 2914: 2908: 2883: 2877: 2871: 2863:the original 2853: 2841:. Retrieved 2837:the original 2827: 2812: 2801:. Retrieved 2790: 2779:. Retrieved 2768: 2756:. Retrieved 2743:. Retrieved 2733: 2706: 2702: 2692: 2673: 2647: 2643: 2637: 2620: 2616: 2610: 2577: 2573: 2567: 2558: 2525: 2496: 2490: 2476: 2441: 2437: 2427: 2394: 2388: 2379: 2360: 2354: 2345: 2314: 2240: 2228: 2208: 2195:optimization 2190: 2184: 2142: 2057: 2053: 2049: 2045: 2041: 2037: 2033: 2031: 1915: 1912: 1819: 1815: 1811: 1807: 1802: 1798: 1796: 1792:epidemiology 1789: 1773: 1760:≈ 42 ± 21.5 1757: 1753: 1751: 1744: 1512: 1467: 1421: 1416: 1412: 1410: 1229: 1150: 988: 983: 940: 930: 926: 922: 918: 917:+1) or even 914: 910: 906: 904: 901: 770: 665: 659: 574: 566: 510: 462:In symbols, 461: 402: 398: 337: 328: 326: 310: 307: 301: 295: 289: 283: 278: 239:Ring-tagged 203: 199: 191: 188: 181: 171:Typically a 170: 133:epidemiology 130: 125: 121: 117: 113: 109: 105: 101: 97: 93: 81: 80: 65: 56: 37: 2859:"Logiciels" 2709:(3): 71–2. 2253:estimates. 2251:uncertainty 1772:Bank vole, 51:introducing 3309:Categories 3281:, 6, 5–84. 3238:Biometrics 2958:Biometrics 2803:2016-09-02 2781:2016-09-02 2306:References 395:Derivation 226:rock hyrax 173:researcher 137:estimating 90:population 59:March 2008 34:references 3215:: 28–40. 2602:205556773 2594:0361-0918 2247:parameter 2108:− 2089:− 2008:− 1972:− 1953:− 1889:− 1874:− 1695:− 1680:− 1657:− 1636:− 1621:ϵ 1568:− 1554:− 1539:− 1524:μ 1496:ϵ 1493:μ 1488:± 1485:μ 1482:≈ 1448:% 1442:α 1439:− 1377:− 1356:− 1318:− 1291:− 1244:^ 1241:σ 1200:α 1197:− 1164:α 1122:^ 1119:σ 1102:α 1094:± 1088:⁡ 1050:− 1029:− 1011:− 1005:− 967:% 961:α 958:− 878:− 866:× 851:− 789:^ 748:− 686:^ 625:× 592:^ 528:^ 355:^ 151:, etc.). 3185:11590637 3134:43172823 3126:17650245 2986:30426391 2978:12229988 2725:29418259 2468:30676803 2411:11590637 2385:Chao, A. 2257:See also 1221:quantile 275:Notation 3258:2533383 3229:3768264 3161:Chao, A 3106:Bibcode 3019:Bibcode 2900:2304025 2716:5518027 2644:Ecology 2459:6366498 2361:Ecology 2224:E-SURGE 1754:n, K, k 1413:n, K, k 241:Jackdaw 86:ecology 47:improve 3273:: 1–4. 3256:  3227:  3191:  3183:  3149:  3132:  3124:  3078:  3059:  2984:  2976:  2921:  2898:  2843:29 May 2758:19 Nov 2745:19 Nov 2723:  2713:  2680:  2600:  2592:  2533:  2503:  2466:  2456:  2417:  2409:  2367:  1513:where 1225:normal 1151:where 194:sample 124:, and 36:, but 3254:JSTOR 3193:78437 3189:S2CID 3130:S2CID 3094:(PDF) 2982:S2CID 2896:JSTOR 2598:S2CID 2419:78437 2415:S2CID 913:+1)/( 3225:PMID 3181:PMID 3147:ISBN 3122:PMID 3076:ISBN 3057:ISBN 2974:PMID 2919:ISBN 2845:2013 2760:2014 2747:2014 2721:PMID 2678:ISBN 2590:ISSN 2531:ISBN 2501:ISBN 2464:PMID 2407:PMID 2365:ISBN 2249:and 2220:MARK 2157:> 2122:> 1727:> 1716:for 1597:> 1586:for 909:+1)( 887:28.3 327:The 279:Let 3271:118 3246:doi 3217:doi 3173:doi 3114:doi 3027:doi 3000:". 2966:doi 2888:doi 2711:PMC 2652:doi 2625:doi 2582:doi 2454:PMC 2446:doi 2442:109 2399:doi 2222:or 1782:at 1430:100 1386:0.5 1365:0.5 1345:0.5 1327:0.5 1300:0.5 1273:0.5 1251:0.5 1129:0.5 1085:exp 1076:0.5 1059:0.5 1038:0.5 1014:0.5 949:100 149:HIV 3311:: 3269:. 3252:. 3242:50 3240:. 3223:. 3213:39 3211:. 3187:. 3179:. 3169:20 3167:. 3128:. 3120:. 3112:. 3102:21 3100:. 3096:. 3044:94 3042:. 3025:. 3015:26 3013:. 2980:. 2972:. 2962:58 2960:. 2894:. 2884:45 2882:. 2719:. 2705:. 2701:. 2664:^ 2648:83 2646:. 2621:35 2619:. 2596:. 2588:. 2578:38 2576:. 2545:^ 2515:^ 2462:. 2452:. 2440:. 2436:. 2413:. 2405:. 2395:20 2393:. 2328:^ 2226:. 2165:10 2097:90 2081:10 1997:90 1961:90 1945:10 1918:: 1863:90 1844:10 1749:. 927:Kn 921:/( 919:Kn 869:16 863:11 668:: 640:30 628:15 622:10 313:. 128:. 120:, 116:, 112:, 108:, 104:, 100:, 96:, 3260:. 3248:: 3231:. 3219:: 3195:. 3175:: 3155:. 3136:. 3116:: 3108:: 3084:. 3065:. 3033:. 3029:: 3021:: 2988:. 2968:: 2927:. 2902:. 2890:: 2847:. 2806:. 2784:. 2762:. 2749:. 2727:. 2707:1 2686:. 2658:. 2654:: 2631:. 2627:: 2604:. 2584:: 2539:. 2509:. 2470:. 2448:: 2421:. 2401:: 2373:. 2322:. 2191:f 2170:. 2162:1 2154:q 2128:, 2125:0 2118:) 2114:) 2111:q 2105:1 2102:( 2094:5 2086:q 2078:5 2072:( 2058:f 2054:q 2050:f 2046:q 2042:f 2038:f 2034:q 2017:. 2014:) 2011:q 2005:1 2002:( 1994:5 1989:+ 1986:f 1982:) 1978:) 1975:q 1969:1 1966:( 1958:5 1950:q 1942:5 1936:( 1932:= 1929:P 1916:f 1898:, 1895:) 1892:q 1886:1 1883:( 1880:) 1877:f 1871:1 1868:( 1860:5 1855:+ 1852:q 1849:f 1841:5 1836:= 1833:P 1820:P 1816:q 1812:q 1808:q 1803:q 1799:f 1758:N 1730:3 1724:k 1701:) 1698:3 1692:k 1689:( 1686:) 1683:2 1677:k 1674:( 1669:) 1666:1 1663:+ 1660:k 1654:K 1651:( 1648:) 1645:1 1642:+ 1639:k 1633:n 1630:( 1624:= 1600:2 1594:k 1571:2 1565:k 1560:) 1557:1 1551:K 1548:( 1545:) 1542:1 1536:n 1533:( 1527:= 1479:N 1445:) 1436:1 1433:( 1417:N 1397:. 1389:) 1383:+ 1380:k 1374:K 1371:( 1368:) 1362:+ 1359:k 1353:n 1350:( 1342:+ 1339:k 1333:+ 1324:+ 1321:k 1315:n 1311:1 1306:+ 1297:+ 1294:k 1288:K 1284:1 1279:+ 1270:+ 1267:k 1263:1 1256:= 1208:2 1204:/ 1194:1 1172:2 1168:/ 1160:z 1137:, 1134:) 1110:2 1106:/ 1098:z 1091:( 1079:) 1073:+ 1070:k 1067:( 1062:) 1056:+ 1053:k 1047:n 1044:( 1041:) 1035:+ 1032:k 1026:K 1023:( 1017:+ 1008:k 1002:n 999:+ 996:K 984:N 964:) 955:1 952:( 931:N 929:/ 923:k 915:k 911:n 907:K 884:= 881:1 873:6 857:= 854:1 845:1 842:+ 839:k 834:) 831:1 828:+ 825:K 822:( 819:) 816:1 813:+ 810:n 807:( 801:= 796:C 786:N 751:1 742:1 739:+ 736:k 731:) 728:1 725:+ 722:K 719:( 716:) 713:1 710:+ 707:n 704:( 698:= 693:C 683:N 637:= 632:5 616:= 611:k 607:K 604:n 598:= 589:N 552:, 547:k 543:K 540:n 534:= 525:N 496:. 491:N 488:n 483:= 478:K 475:k 447:N 443:/ 439:n 419:K 415:/ 411:k 379:, 374:k 370:K 367:n 361:= 352:N 311:N 302:k 296:K 290:n 284:N 72:) 66:( 61:) 57:( 43:.

Index

references
inline citations
improve
introducing
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ecology
population
epidemiology
estimating
learning disabilities
medically frail
HIV

Chittenango ovate amber snail
researcher
C.G. Johannes Petersen
Pleuronectes platessa
sample
Collar tagged rock hyrax
rock hyrax
Jackdaw with a numbered aluminum ring on its left tarsus
Jackdaw
right side view of a snail with a number 87 on its shell
An adult of Common Ringlet tagged by a number for a study using mark and recapture in order to evaluate the populations of this butterfly in the Drugeon valley (Doubs, France).
Lincoln index
Lincoln index
less biased estimator
confidence interval
quantile
normal

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