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Species diversity

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dataset is appropriate for the questions at hand. In practice, the interest is usually in the species diversity of areas so large that not all individuals in them can be observed and identified to species, but a sample of the relevant individuals has to be obtained. Extrapolation from the sample to the underlying population of interest is not straightforward, because the species diversity of the available sample generally gives an underestimation of the species diversity in the entire population. Applying different
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In general, sets with many individuals can be expected to have higher species diversity than sets with fewer individuals. When species diversity values are compared among sets, sampling efforts need to be standardised in an appropriate way for the comparisons to yield ecologically meaningful results.
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Depending on the purposes of quantifying species diversity, the data set used for the calculations can be obtained in different ways. Although species diversity can be calculated for any data-set where individuals have been identified to species, meaningful ecological interpretations require that the
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will lead to different sets of individuals being observed for the same area of interest, and the species diversity of each set may be different. When a new individual is added to a dataset, it may introduce a species that was not yet represented. How much this increases species diversity depends on
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When interpreted in ecological terms, each one of these indices corresponds to a different thing, and their values are therefore not directly comparable. Species richness quantifies the actual rather than effective number of species. The Shannon index equals
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The observed species diversity is affected not only by the number of individuals but also by the heterogeneity of the sample. If individuals are drawn from different environmental conditions (or different
42:. Species richness is a simple count of species. Taxonomic or phylogenetic diversity is the genetic relationship between different groups of species. Species evenness quantifies how equal the 750:
and the number of species only represented by one or a few individuals can be used to help in estimating how representative the available sample is of the population from which it was drawn.
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value. In many real datasets, the least abundant species is represented by a single individual, and then the effective number of species would equal the number of individuals in the dataset.
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Tuomisto, H. (2010) A diversity of beta diversities: straightening up a concept gone awry. Part 1. Defining beta diversity as a function of alpha and gamma diversity. Ecography, 33, 2-22.
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The same equation can be used to calculate the diversity in relation to any classification, not only species. If the individuals are classified into genera or functional types,
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increases the weight given to the most abundant species, and fewer equally abundant species are hence needed to reach mean proportional abundance. Consequently, large values of
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Tuomisto, H. (2010) A diversity of beta diversities: straightening up a concept gone awry. Part 2. Quantifying beta diversity and related phenomena. Ecography, 33, 23-45.
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Studies in the Numerical Analysis of Complex Rain-Forest Communities: II. The Problem of Species-Sampling. Journal of Ecology, Vol. 55, No. 2, Jul., 1967, pp. 525-538
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Colwell, R. K. and Coddington, J. A. (1994) Estimating terrestrial biodiversity through extrapolation. Philosophical Transactions: Biological Sciences, 345, 101-118.
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Good, I. J. and Toulmin, G. H. (1956) The number of new species, and the increase in population coverage, when a sample is increased. Biometrika, 43, 45-63.
68: 234: 1894: 1147: 30:(a dataset). The effective number of species refers to the number of equally abundant species needed to obtain the same mean proportional 2038: 2108: 959:
Xu, S., Böttcher, L., and Chou, T. (2020). Diversity in biology: definitions, quantification and models. Physical Biology, 17, 031001.
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as that observed in the dataset of interest (where all species may not be equally abundant). Meanings of species diversity may include
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are not used, because then the effective number of species (diversity) would exceed the actual number of species (richness). As
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Tuomisto, H. 2010. A consistent terminology for quantifying species diversity? Yes, it does exist. Oecologia 4: 853–860.
2709: 2064: 1887: 1728: 1140: 1400: 228:. The proportional abundances themselves are used as weights. The equation is often written in the equivalent form: 1861: 2143: 1856: 1723: 1435: 2528: 2401: 2574: 2173: 2128: 1880: 1133: 879: 1660: 2006: 524: 1005:
Jost, L. (2007) Partitioning diversity into independent alpha and beta components. Ecology, 88, 2427–2439.
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Hill, M. O. (1973) Diversity and evenness: a unifying notation and its consequences. Ecology, 54, 427–432
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is the total number of species (species richness) in the dataset, and the proportional abundance of the
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and quantifies the probability that the two randomly taken individuals represent different species.
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for the same dataset. If all species are equally abundant in the dataset, changing the value of
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is large, adding a rare species to a dataset has little effect on its species diversity.
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Krebs, C. J. (1999) Ecological Methodology. Second edition. Addison-Wesley, California.
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Magurran, A. E. (2004) Measuring biological diversity. Blackwell Publishing, Oxford.
2704: 2523: 2386: 2378: 2296: 2178: 2163: 2099: 2079: 1996: 1986: 1981: 1946: 1778: 1718: 1589: 1390: 1332: 1244: 1204: 1039: 1015: 960: 944: 921: 685: 186: 55: 39: 35: 696:, and the complement of the Simpson index (also known as the Gini-Simpson index). 2659: 2518: 2488: 2483: 2473: 2406: 2391: 2271: 2251: 2133: 2001: 1907: 1798: 1708: 1650: 1234: 1160: 859: 832: 817: 681: 534: 2639: 2463: 2416: 2346: 2341: 2236: 2103: 1976: 1783: 1773: 1753: 1556: 1521: 1460: 1337: 1292: 1184: 1119: 1048: 964: 854: 822: 794: 948: 2693: 2664: 1640: 1614: 1571: 1561: 1516: 1483: 1375: 1209: 1164: 774: 693: 689: 349: 167:{\displaystyle {}^{q}\!D={1 \over {\sqrt{\sum _{i=1}^{S}p_{i}p_{i}^{q-1}}}}} 2649: 2634: 2291: 2261: 2206: 2089: 2054: 1931: 1430: 1044: 827: 330:{\displaystyle {}^{q}\!D=\left({\sum _{i=1}^{S}p_{i}^{q}}\right)^{1/(1-q)}} 607:
approaches negative infinity, the generalized mean approaches the minimum
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of species proportional abundances in the dataset, and then taking the
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can be used to bring samples of different sizes to a common footing.
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Species diversity in a dataset can be calculated by first taking the
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equals genus diversity or functional type diversity, respectively.
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Often researchers have used the values given by one or more
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Jost, L. (2006) Entropy and diversity. Oikos, 113, 363–375
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lead to smaller species diversity than small values of
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is equal to the number of species or species richness,
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has no effect, but species diversity at any value of
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to quantify species diversity. Such indices include
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Number of distinct species in a biological community
1100:Harrison, Ian; Laverty, Melina; Sterling, Eleanor. 1057:, Journal of Ecology, British Ecological Society, 656: 626: 564: 512: 375: 329: 220: 166: 576:modifies species weighting, such that increasing 434: 247: 81: 2691: 410: 939: 937: 935: 933: 916: 914: 912: 910: 185:in the dataset as calculated with the weighted 545:, the generalized mean approaches the maximum 38:, taxonomic or phylogenetic diversity, and/or 1888: 1141: 664:represents the proportional abundance of the 930: 907: 395:= 1 is undefined, except that the limit as 49: 2109:Latitudinal gradients in species diversity 1895: 1881: 1148: 1134: 992: 990: 900: 898: 896: 870:Latitudinal gradients in species diversity 715: 2007:Predator–prey (Lotka–Volterra) equations 1646:Tritrophic interactions in plant defense 1120:Creative Commons 1.0 Attribution Generic 383:values cancel out, with the result that 2039:Random generalized Lotka–Volterra model 987: 893: 2692: 1847:Herbivore adaptations to plant defense 1876: 1129: 953: 1862:Predator avoidance in schooling fish 675: 2312:Intermediate disturbance hypothesis 13: 2065:Ecological effects of biodiversity 14: 2726: 1401:Generalist and specialist species 1093: 668:th genus or functional type, and 2124:Occupancy–abundance relationship 1020:10.1111/j.1600-0587.2009.06148.x 926:10.1111/j.1600-0587.2009.05880.x 801: 787: 773: 523:which is the exponential of the 348:= 0 corresponds to the weighted 26:that are represented in a given 2144:Relative abundance distribution 1857:Plant defense against herbivory 1724:Competitive exclusion principle 1436:Mesopredator release hypothesis 1077: 1068: 1033: 1024: 344:determines which mean is used. 1729:Consumer–resource interactions 1008: 999: 978: 969: 417: 399:approaches 1 is well defined: 322: 310: 1: 2575:Biological data visualization 2402:Environmental niche modelling 2129:Population viability analysis 2060:Density-dependent inhibition 7: 2715:Measurement of biodiversity 2529:Liebig's law of the minimum 2364:Resource selection function 1255:Metabolic theory of ecology 838:Measurement of biodiversity 766: 22:is the number of different 10: 2731: 2429:Niche apportionment models 2149:Relative species abundance 1353:Primary nutritional groups 1250:List of feeding behaviours 875:Relative species abundance 62:of this. The equation is: 2710:Environmental terminology 2678: 2610:Ecosystem based fisheries 2552: 2452: 2377: 2250: 2222:Interspecific competition 2187: 2114:Minimum viable population 2047: 1972:Maximum sustainable yield 1957:Intraspecific competition 1952:Effective population size 1915: 1832:Anti-predator adaptations 1817: 1696: 1623: 1580: 1502: 1469: 1366: 1343:Photosynthetic efficiency 1278: 1172: 949:10.1007/s00442-010-1812-0 880:Species–area relationship 753: 596:equals species richness. 181:equals mean proportional 2600:Ecological stoichiometry 2565:Alternative stable state 965:10.1088/1478-3975/ab6754 886: 748:Species discovery curves 50:Calculation of diversity 2444:Ontogenetic niche shift 2307:Ideal free distribution 2217:Ecological facilitation 1967:Malthusian growth model 1937:Consumer-resource model 1794:Paradox of the plankton 1759:Energy systems language 1479:Chemoorganoheterotrophy 1446:Optimal foraging theory 1421:Heterotrophic nutrition 1051:; Lance, G. N. (1969), 716:Sampling considerations 533:= 2 corresponds to the 2590:Ecological forecasting 2534:Marginal value theorem 2332:Landscape epidemiology 2267:Cross-boundary subsidy 2202:Biological interaction 1552:Microbial intelligence 1240:Green world hypothesis 658: 628: 566: 514: 475: 377: 331: 280: 222: 193:- 1. In the equation, 168: 116: 2595:Ecological humanities 2494:Ecological energetics 2439:Niche differentiation 2302:Habitat fragmentation 2070:Ecological extinction 2017:Small population size 1769:Feed conversion ratio 1749:Ecological succession 1681:San Francisco Estuary 1595:Ecological efficiency 1537:Microbial cooperation 845:Biotic homogenization 809:Earth sciences portal 659: 657:{\displaystyle p_{i}} 629: 627:{\displaystyle p_{i}} 567: 565:{\displaystyle p_{i}} 515: 455: 378: 376:{\displaystyle p_{i}} 332: 260: 223: 221:{\displaystyle p_{i}} 169: 96: 2620:Evolutionary ecology 2585:Ecological footprint 2580:Ecological economics 2504:Ecological threshold 2499:Ecological indicator 2369:Source–sink dynamics 2322:Land change modeling 2317:Insular biogeography 2169:Species distribution 1908:Modelling ecosystems 1567:Microbial metabolism 1406:Intraguild predation 1195:Biogeochemical cycle 1161:Modelling ecosystems 1106:Connexions (cnx.org) 641: 611: 572:value. In practice, 549: 406: 360: 235: 205: 69: 46:of the species are. 2670:Theoretical ecology 2645:Natural environment 2509:Ecosystem diversity 2479:Ecological collapse 2469:Bateman's principle 2424:Limiting similarity 2337:Landscape limnology 2159:Species homogeneity 1997:Population modeling 1992:Population dynamics 1809:Trophic state index 1102:"Species Diversity" 599:Negative values of 295: 147: 2700:Ecological metrics 2681:Outline of ecology 2630:Industrial ecology 2625:Functional ecology 2489:Ecological deficit 2434:Niche construction 2397:Ecosystem engineer 2174:Species–area curve 2095:Introduced species 1910:: Other components 1842:Deimatic behaviour 1744:Ecological network 1676:North Pacific Gyre 1661:hydrothermal vents 1600:Ecological pyramid 1547:Microbial food web 1358:Primary production 1303:Foundation species 850:Coexistence theory 781:Environment portal 744:Resampling methods 654: 624: 562: 510: 424: 373: 327: 281: 218: 164: 127: 2687: 2686: 2570:Balance of nature 2327:Landscape ecology 2212:Community ecology 2154:Species diversity 2090:Indicator species 2085:Gradient analysis 1962:Logistic function 1870: 1869: 1827:Animal coloration 1804:Trophic mutualism 1542:Microbial ecology 1333:Photoheterotrophs 1318:Myco-heterotrophy 1230:Ecosystem ecology 1215:Carrying capacity 1180:Abiotic component 865:Genetic diversity 682:diversity indices 676:Diversity indices 409: 183:species abundance 162: 160: 32:species abundance 20:Species diversity 2722: 2387:Ecological niche 2359:selection theory 2179:Umbrella species 2164:Species richness 2100:Invasive species 2080:Flagship species 1987:Population cycle 1982:Overexploitation 1947:Ecological yield 1897: 1890: 1883: 1874: 1873: 1779:Mesotrophic soil 1719:Climax community 1651:Marine food webs 1590:Biomagnification 1391:Chemoorganotroph 1245:Keystone species 1205:Biotic component 1150: 1143: 1136: 1127: 1126: 1118:(Licensed under 1117: 1115: 1113: 1087: 1081: 1075: 1072: 1066: 1065: 1037: 1031: 1028: 1022: 1012: 1006: 1003: 997: 994: 985: 982: 976: 973: 967: 957: 951: 941: 928: 918: 905: 902: 811: 806: 805: 804: 797: 792: 791: 790: 783: 778: 777: 723:sampling methods 686:species richness 663: 661: 660: 655: 653: 652: 633: 631: 630: 625: 623: 622: 571: 569: 568: 563: 561: 560: 519: 517: 516: 511: 506: 502: 501: 500: 485: 484: 474: 469: 433: 432: 427: 423: 382: 380: 379: 374: 372: 371: 336: 334: 333: 328: 326: 325: 309: 300: 296: 294: 289: 279: 274: 246: 245: 240: 227: 225: 224: 219: 217: 216: 187:generalized mean 173: 171: 170: 165: 163: 161: 159: 148: 146: 135: 126: 125: 115: 110: 94: 89: 80: 79: 74: 56:weighted average 40:species evenness 36:species richness 2730: 2729: 2725: 2724: 2723: 2721: 2720: 2719: 2690: 2689: 2688: 2683: 2674: 2660:Systems ecology 2548: 2519:Extinction debt 2484:Ecological debt 2474:Bioluminescence 2455: 2448: 2417:marine habitats 2392:Ecological trap 2373: 2253: 2246: 2189: 2183: 2139:Rapoport's rule 2134:Priority effect 2075:Endemic species 2043: 2002:Population size 1918: 1911: 1901: 1871: 1866: 1819: 1813: 1799:Trophic cascade 1709:Bioaccumulation 1692: 1619: 1576: 1498: 1465: 1362: 1274: 1235:Ecosystem model 1168: 1154: 1111: 1109: 1096: 1091: 1090: 1082: 1078: 1073: 1069: 1049:Williams, W. T. 1038: 1034: 1029: 1025: 1013: 1009: 1004: 1000: 995: 988: 983: 979: 974: 970: 958: 954: 942: 931: 919: 908: 903: 894: 889: 884: 860:Gamma diversity 833:Diversity index 818:Alpha diversity 807: 802: 800: 793: 788: 786: 779: 772: 769: 756: 718: 678: 648: 644: 642: 639: 638: 618: 614: 612: 609: 608: 556: 552: 550: 547: 546: 535:arithmetic mean 525:Shannon entropy 496: 492: 480: 476: 470: 459: 451: 447: 428: 426: 425: 413: 407: 404: 403: 367: 363: 361: 358: 357: 305: 301: 290: 285: 275: 264: 259: 255: 254: 241: 239: 238: 236: 233: 232: 212: 208: 206: 203: 202: 149: 136: 131: 121: 117: 111: 100: 95: 93: 88: 75: 73: 72: 70: 67: 66: 52: 17: 12: 11: 5: 2728: 2718: 2717: 2712: 2707: 2702: 2685: 2684: 2679: 2676: 2675: 2673: 2672: 2667: 2662: 2657: 2652: 2647: 2642: 2640:Microecosystem 2637: 2632: 2627: 2622: 2617: 2612: 2607: 2602: 2597: 2592: 2587: 2582: 2577: 2572: 2567: 2562: 2556: 2554: 2550: 2549: 2547: 2546: 2541: 2539:Thorson's rule 2536: 2531: 2526: 2521: 2516: 2511: 2506: 2501: 2496: 2491: 2486: 2481: 2476: 2471: 2466: 2464:Assembly rules 2460: 2458: 2450: 2449: 2447: 2446: 2441: 2436: 2431: 2426: 2421: 2420: 2419: 2409: 2404: 2399: 2394: 2389: 2383: 2381: 2375: 2374: 2372: 2371: 2366: 2361: 2349: 2347:Patch dynamics 2344: 2342:Metapopulation 2339: 2334: 2329: 2324: 2319: 2314: 2309: 2304: 2299: 2294: 2289: 2284: 2279: 2274: 2269: 2264: 2258: 2256: 2248: 2247: 2245: 2244: 2239: 2237:Storage effect 2234: 2229: 2224: 2219: 2214: 2209: 2204: 2199: 2193: 2191: 2185: 2184: 2182: 2181: 2176: 2171: 2166: 2161: 2156: 2151: 2146: 2141: 2136: 2131: 2126: 2121: 2119:Neutral theory 2116: 2111: 2106: 2104:Native species 2097: 2092: 2087: 2082: 2077: 2072: 2067: 2062: 2057: 2051: 2049: 2045: 2044: 2042: 2041: 2036: 2035: 2034: 2029: 2019: 2014: 2009: 2004: 1999: 1994: 1989: 1984: 1979: 1977:Overpopulation 1974: 1969: 1964: 1959: 1954: 1949: 1944: 1939: 1934: 1929: 1923: 1921: 1913: 1912: 1900: 1899: 1892: 1885: 1877: 1868: 1867: 1865: 1864: 1859: 1854: 1849: 1844: 1839: 1834: 1829: 1823: 1821: 1815: 1814: 1812: 1811: 1806: 1801: 1796: 1791: 1786: 1784:Nutrient cycle 1781: 1776: 1774:Feeding frenzy 1771: 1766: 1761: 1756: 1754:Energy quality 1751: 1746: 1741: 1736: 1731: 1726: 1721: 1716: 1714:Cascade effect 1711: 1706: 1700: 1698: 1694: 1693: 1691: 1690: 1689: 1688: 1683: 1678: 1673: 1668: 1663: 1658: 1648: 1643: 1638: 1633: 1627: 1625: 1621: 1620: 1618: 1617: 1612: 1607: 1602: 1597: 1592: 1586: 1584: 1578: 1577: 1575: 1574: 1569: 1564: 1559: 1557:Microbial loop 1554: 1549: 1544: 1539: 1534: 1529: 1524: 1522:Lithoautotroph 1519: 1514: 1508: 1506: 1504:Microorganisms 1500: 1499: 1497: 1496: 1491: 1486: 1481: 1475: 1473: 1467: 1466: 1464: 1463: 1461:Prey switching 1458: 1453: 1448: 1443: 1438: 1433: 1428: 1423: 1418: 1413: 1408: 1403: 1398: 1393: 1388: 1383: 1378: 1372: 1370: 1364: 1363: 1361: 1360: 1355: 1350: 1345: 1340: 1338:Photosynthesis 1335: 1330: 1325: 1320: 1315: 1310: 1305: 1300: 1295: 1293:Chemosynthesis 1290: 1284: 1282: 1276: 1275: 1273: 1272: 1267: 1262: 1257: 1252: 1247: 1242: 1237: 1232: 1227: 1222: 1217: 1212: 1207: 1202: 1197: 1192: 1187: 1185:Abiotic stress 1182: 1176: 1174: 1170: 1169: 1153: 1152: 1145: 1138: 1130: 1124: 1123: 1095: 1094:External links 1092: 1089: 1088: 1076: 1067: 1032: 1023: 1007: 998: 986: 977: 968: 952: 929: 906: 891: 890: 888: 885: 883: 882: 877: 872: 867: 862: 857: 855:Dark diversity 852: 847: 842: 841: 840: 835: 825: 823:Beta diversity 820: 814: 813: 812: 798: 795:Ecology portal 784: 768: 765: 755: 752: 717: 714: 677: 674: 651: 647: 621: 617: 559: 555: 521: 520: 509: 505: 499: 495: 491: 488: 483: 479: 473: 468: 465: 462: 458: 454: 450: 446: 443: 440: 437: 431: 422: 419: 416: 412: 370: 366: 338: 337: 324: 321: 318: 315: 312: 308: 304: 299: 293: 288: 284: 278: 273: 270: 267: 263: 258: 253: 250: 244: 215: 211: 201:th species is 189:with exponent 175: 174: 158: 155: 152: 145: 142: 139: 134: 130: 124: 120: 114: 109: 106: 103: 99: 92: 87: 84: 78: 51: 48: 15: 9: 6: 4: 3: 2: 2727: 2716: 2713: 2711: 2708: 2706: 2703: 2701: 2698: 2697: 2695: 2682: 2677: 2671: 2668: 2666: 2665:Urban ecology 2663: 2661: 2658: 2656: 2653: 2651: 2648: 2646: 2643: 2641: 2638: 2636: 2633: 2631: 2628: 2626: 2623: 2621: 2618: 2616: 2613: 2611: 2608: 2606: 2603: 2601: 2598: 2596: 2593: 2591: 2588: 2586: 2583: 2581: 2578: 2576: 2573: 2571: 2568: 2566: 2563: 2561: 2558: 2557: 2555: 2551: 2545: 2542: 2540: 2537: 2535: 2532: 2530: 2527: 2525: 2524:Kleiber's law 2522: 2520: 2517: 2515: 2512: 2510: 2507: 2505: 2502: 2500: 2497: 2495: 2492: 2490: 2487: 2485: 2482: 2480: 2477: 2475: 2472: 2470: 2467: 2465: 2462: 2461: 2459: 2457: 2451: 2445: 2442: 2440: 2437: 2435: 2432: 2430: 2427: 2425: 2422: 2418: 2415: 2414: 2413: 2410: 2408: 2405: 2403: 2400: 2398: 2395: 2393: 2390: 2388: 2385: 2384: 2382: 2380: 2376: 2370: 2367: 2365: 2362: 2360: 2358: 2354: 2350: 2348: 2345: 2343: 2340: 2338: 2335: 2333: 2330: 2328: 2325: 2323: 2320: 2318: 2315: 2313: 2310: 2308: 2305: 2303: 2300: 2298: 2297:Foster's rule 2295: 2293: 2290: 2288: 2285: 2283: 2280: 2278: 2275: 2273: 2270: 2268: 2265: 2263: 2260: 2259: 2257: 2255: 2249: 2243: 2240: 2238: 2235: 2233: 2230: 2228: 2225: 2223: 2220: 2218: 2215: 2213: 2210: 2208: 2205: 2203: 2200: 2198: 2195: 2194: 2192: 2186: 2180: 2177: 2175: 2172: 2170: 2167: 2165: 2162: 2160: 2157: 2155: 2152: 2150: 2147: 2145: 2142: 2140: 2137: 2135: 2132: 2130: 2127: 2125: 2122: 2120: 2117: 2115: 2112: 2110: 2107: 2105: 2101: 2098: 2096: 2093: 2091: 2088: 2086: 2083: 2081: 2078: 2076: 2073: 2071: 2068: 2066: 2063: 2061: 2058: 2056: 2053: 2052: 2050: 2046: 2040: 2037: 2033: 2030: 2028: 2025: 2024: 2023: 2020: 2018: 2015: 2013: 2010: 2008: 2005: 2003: 2000: 1998: 1995: 1993: 1990: 1988: 1985: 1983: 1980: 1978: 1975: 1973: 1970: 1968: 1965: 1963: 1960: 1958: 1955: 1953: 1950: 1948: 1945: 1943: 1940: 1938: 1935: 1933: 1930: 1928: 1925: 1924: 1922: 1920: 1914: 1909: 1905: 1898: 1893: 1891: 1886: 1884: 1879: 1878: 1875: 1863: 1860: 1858: 1855: 1853: 1850: 1848: 1845: 1843: 1840: 1838: 1835: 1833: 1830: 1828: 1825: 1824: 1822: 1816: 1810: 1807: 1805: 1802: 1800: 1797: 1795: 1792: 1790: 1787: 1785: 1782: 1780: 1777: 1775: 1772: 1770: 1767: 1765: 1762: 1760: 1757: 1755: 1752: 1750: 1747: 1745: 1742: 1740: 1737: 1735: 1732: 1730: 1727: 1725: 1722: 1720: 1717: 1715: 1712: 1710: 1707: 1705: 1702: 1701: 1699: 1695: 1687: 1684: 1682: 1679: 1677: 1674: 1672: 1669: 1667: 1664: 1662: 1659: 1657: 1654: 1653: 1652: 1649: 1647: 1644: 1642: 1639: 1637: 1634: 1632: 1629: 1628: 1626: 1622: 1616: 1615:Trophic level 1613: 1611: 1608: 1606: 1603: 1601: 1598: 1596: 1593: 1591: 1588: 1587: 1585: 1583: 1579: 1573: 1572:Phage ecology 1570: 1568: 1565: 1563: 1562:Microbial mat 1560: 1558: 1555: 1553: 1550: 1548: 1545: 1543: 1540: 1538: 1535: 1533: 1530: 1528: 1525: 1523: 1520: 1518: 1517:Bacteriophage 1515: 1513: 1510: 1509: 1507: 1505: 1501: 1495: 1492: 1490: 1487: 1485: 1484:Decomposition 1482: 1480: 1477: 1476: 1474: 1472: 1468: 1462: 1459: 1457: 1454: 1452: 1449: 1447: 1444: 1442: 1439: 1437: 1434: 1432: 1431:Mesopredators 1429: 1427: 1424: 1422: 1419: 1417: 1414: 1412: 1409: 1407: 1404: 1402: 1399: 1397: 1394: 1392: 1389: 1387: 1384: 1382: 1379: 1377: 1376:Apex predator 1374: 1373: 1371: 1369: 1365: 1359: 1356: 1354: 1351: 1349: 1346: 1344: 1341: 1339: 1336: 1334: 1331: 1329: 1326: 1324: 1321: 1319: 1316: 1314: 1311: 1309: 1306: 1304: 1301: 1299: 1296: 1294: 1291: 1289: 1286: 1285: 1283: 1281: 1277: 1271: 1268: 1266: 1263: 1261: 1258: 1256: 1253: 1251: 1248: 1246: 1243: 1241: 1238: 1236: 1233: 1231: 1228: 1226: 1223: 1221: 1218: 1216: 1213: 1211: 1210:Biotic stress 1208: 1206: 1203: 1201: 1198: 1196: 1193: 1191: 1188: 1186: 1183: 1181: 1178: 1177: 1175: 1171: 1166: 1162: 1158: 1151: 1146: 1144: 1139: 1137: 1132: 1131: 1128: 1121: 1107: 1103: 1098: 1097: 1085: 1080: 1071: 1064: 1060: 1056: 1055: 1050: 1046: 1045:Tracey, J. G. 1042: 1036: 1027: 1021: 1017: 1011: 1002: 993: 991: 981: 972: 966: 962: 956: 950: 946: 940: 938: 936: 934: 927: 923: 917: 915: 913: 911: 901: 899: 897: 892: 881: 878: 876: 873: 871: 868: 866: 863: 861: 858: 856: 853: 851: 848: 846: 843: 839: 836: 834: 831: 830: 829: 826: 824: 821: 819: 816: 815: 810: 799: 796: 785: 782: 776: 771: 764: 762: 751: 749: 745: 739: 737: 733: 729: 726:the value of 724: 713: 711: 707: 703: 697: 695: 694:Simpson index 691: 690:Shannon index 687: 683: 673: 671: 667: 649: 645: 635: 619: 615: 606: 602: 597: 595: 591: 587: 583: 579: 575: 557: 553: 544: 540: 536: 532: 528: 526: 507: 503: 497: 493: 489: 486: 481: 477: 471: 466: 463: 460: 456: 452: 448: 444: 441: 438: 435: 429: 420: 414: 402: 401: 400: 398: 394: 390: 386: 368: 364: 355: 352:, which is 1/ 351: 350:harmonic mean 347: 343: 340:The value of 319: 316: 313: 306: 302: 297: 291: 286: 282: 276: 271: 268: 265: 261: 256: 251: 248: 242: 231: 230: 229: 213: 209: 200: 196: 192: 188: 184: 180: 156: 153: 150: 143: 140: 137: 132: 128: 122: 118: 112: 107: 104: 101: 97: 90: 85: 82: 76: 65: 64: 63: 61: 57: 47: 45: 41: 37: 33: 29: 25: 21: 2650:Regime shift 2635:Macroecology 2356: 2352: 2292:Edge effects 2262:Biogeography 2207:Commensalism 2153: 2055:Biodiversity 1932:Allee effect 1671:kelp forests 1624:Example webs 1489:Detritivores 1328:Organotrophs 1308:Kinetotrophs 1260:Productivity 1110:. Retrieved 1105: 1079: 1070: 1053: 1035: 1026: 1010: 1001: 980: 971: 955: 828:Biodiversity 757: 740: 735: 731: 727: 719: 709: 705: 701: 698: 679: 669: 665: 636: 604: 600: 598: 593: 589: 585: 581: 577: 573: 538: 530: 529: 522: 396: 392: 388: 384: 356:because the 353: 345: 341: 339: 198: 194: 190: 176: 53: 19: 18: 2287:Disturbance 2190:interaction 2012:Recruitment 1942:Depensation 1734:Copiotrophs 1605:Energy flow 1527:Lithotrophy 1471:Decomposers 1451:Planktivore 1426:Insectivore 1416:Heterotroph 1381:Bacterivore 1348:Phototrophs 1298:Chemotrophs 1270:Restoration 1220:Competition 1041:Webb, L. J. 541:approaches 179:denominator 2694:Categories 2655:Sexecology 2232:Parasitism 2197:Antibiosis 2032:Resistance 2027:Resilience 1917:Population 1837:Camouflage 1789:Oligotroph 1704:Ascendency 1666:intertidal 1656:cold seeps 1610:Food chain 1411:Herbivores 1386:Carnivores 1313:Mixotrophs 1288:Autotrophs 1167:components 1112:1 February 44:abundances 2560:Allometry 2514:Emergence 2242:Symbiosis 2227:Mutualism 2022:Stability 1927:Abundance 1739:Dominance 1697:Processes 1686:tide pool 1582:Food webs 1456:Predation 1441:Omnivores 1368:Consumers 1323:Mycotroph 1280:Producers 1225:Ecosystem 1190:Behaviour 490:⁡ 457:∑ 453:− 445:⁡ 418:→ 317:− 262:∑ 154:− 141:− 98:∑ 28:community 2615:Endolith 2544:Xerosere 2456:networks 2272:Ecocline 1818:Defense, 1494:Detritus 1396:Foraging 1265:Resource 1084:Chao, A. 767:See also 761:habitats 543:infinity 2705:Habitat 2605:Ecopath 2412:Habitat 2282:Ecotype 2277:Ecotone 2254:ecology 2252:Spatial 2188:Species 2048:Species 1919:ecology 1904:Ecology 1852:Mimicry 1820:counter 1764:f-ratio 1512:Archaea 1200:Biomass 1173:General 1165:Trophic 1157:Ecology 1063:2257891 730:: when 60:inverse 24:species 1636:Rivers 1532:Marine 1061:  754:Trends 692:, the 688:, the 2553:Other 2454:Other 2407:Guild 2379:Niche 1631:Lakes 1059:JSTOR 887:Notes 537:. As 1641:Soil 1114:2011 700:log( 177:The 1016:doi 961:doi 945:doi 922:doi 442:exp 411:lim 2696:: 2102:/ 1906:: 1163:: 1159:: 1122:). 1104:. 1047:; 1043:; 989:^ 932:^ 909:^ 895:^ 527:. 487:ln 391:. 2357:K 2355:/ 2353:r 1896:e 1889:t 1882:v 1149:e 1142:t 1135:v 1116:. 1018:: 963:: 947:: 924:: 736:q 732:q 728:q 710:D 706:D 702:D 670:D 666:i 650:i 646:p 620:i 616:p 605:q 601:q 594:q 590:q 586:q 582:q 578:q 574:q 558:i 554:p 539:q 531:q 508:, 504:) 498:i 494:p 482:i 478:p 472:S 467:1 464:= 461:i 449:( 439:= 436:D 430:q 421:1 415:q 397:q 393:q 389:S 385:D 369:i 365:p 354:S 346:q 342:q 323:) 320:q 314:1 311:( 307:/ 303:1 298:) 292:q 287:i 283:p 277:S 272:1 269:= 266:i 257:( 252:= 249:D 243:q 214:i 210:p 199:i 195:S 191:q 157:1 151:q 144:1 138:q 133:i 129:p 123:i 119:p 113:S 108:1 105:= 102:i 91:1 86:= 83:D 77:q

Index

species
community
species abundance
species richness
species evenness
abundances
weighted average
inverse
denominator
species abundance
generalized mean
harmonic mean
Shannon entropy
arithmetic mean
infinity
diversity indices
species richness
Shannon index
Simpson index
sampling methods
Resampling methods
Species discovery curves
habitats
icon
Environment portal
Ecology portal
Earth sciences portal
Alpha diversity
Beta diversity
Biodiversity

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