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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
53:. 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 761:
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.
715:), that is, q approaching 1, and in practice quantifies the uncertainty in the species identity of an individual that is taken at random from the dataset. The Simpson index equals 1/ 648:
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.
79: 245: 1905: 1158: 41:(a dataset). The effective number of species refers to the number of equally abundant species needed to obtain the same mean proportional 2049: 2119: 970:
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.
17: 2720: 2075: 1898: 1739: 1151: 1411: 239:. The proportional abundances themselves are used as weights. The equation is often written in the equivalent form: 1872: 2154: 1867: 1734: 1446: 2539: 2412: 2585: 2184: 2139: 1891: 1144: 890: 1671: 2017: 535: 1016:
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.
2715: 2534: 2397: 2389: 2307: 2189: 2174: 2110: 2090: 2007: 1997: 1992: 1957: 1789: 1729: 1600: 1401: 1343: 1255: 1215: 1050: 1026: 971: 955: 932: 696: 197: 66: 50: 46: 707:, and the complement of the Simpson index (also known as the Gini-Simpson index). 2670: 2529: 2499: 2494: 2484: 2417: 2402: 2282: 2262: 2144: 2012: 1918: 1809: 1719: 1661: 1245: 1171: 870: 843: 828: 692: 545: 2650: 2474: 2427: 2357: 2352: 2247: 2114: 1987: 1794: 1784: 1764: 1567: 1532: 1471: 1348: 1303: 1195: 1130: 1059: 975: 865: 833: 805: 959: 2704: 2675: 1651: 1625: 1582: 1572: 1527: 1494: 1386: 1220: 1175: 785: 704: 700: 360: 178:{\displaystyle {}^{q}\!D={1 \over {\sqrt{\sum _{i=1}^{S}p_{i}p_{i}^{q-1}}}}} 2660: 2645: 2302: 2272: 2217: 2100: 2065: 1942: 1441: 1055: 838: 341:{\displaystyle {}^{q}\!D=\left({\sum _{i=1}^{S}p_{i}^{q}}\right)^{1/(1-q)}} 618:
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
1111:Harrison, Ian; Laverty, Melina; Sterling, Eleanor. 1068:, Journal of Ecology, British Ecological Society, 667: 637: 575: 523: 386: 340: 231: 177: 587:modifies species weighting, such that increasing 445: 258: 92: 2702: 421: 950: 948: 946: 944: 927: 925: 923: 921: 196:in the dataset as calculated with the weighted 556:, the generalized mean approaches the maximum 49:, taxonomic or phylogenetic diversity, and/or 1899: 1152: 675:represents the proportional abundance of the 941: 918: 406:= 1 is undefined, except that the limit as 60: 2120:Latitudinal gradients in species diversity 1906: 1892: 1159: 1145: 1003: 1001: 911: 909: 907: 881:Latitudinal gradients in species diversity 726: 2018:Predator–prey (Lotka–Volterra) equations 1657:Tritrophic interactions in plant defense 1131:Creative Commons 1.0 Attribution Generic 394:values cancel out, with the result that 2050:Random generalized Lotka–Volterra model 998: 904: 14: 2703: 1858:Herbivore adaptations to plant defense 1887: 1140: 964: 1873:Predator avoidance in schooling fish 686: 2323:Intermediate disturbance hypothesis 24: 2076:Ecological effects of biodiversity 25: 2737: 1412:Generalist and specialist species 1104: 679:th genus or functional type, and 2135:Occupancy–abundance relationship 1031:10.1111/j.1600-0587.2009.06148.x 937:10.1111/j.1600-0587.2009.05880.x 812: 798: 784: 534:which is the exponential of the 359:= 0 corresponds to the weighted 37:that are represented in a given 2155:Relative abundance distribution 1868:Plant defense against herbivory 1735:Competitive exclusion principle 1447:Mesopredator release hypothesis 1088: 1079: 1044: 1035: 355:determines which mean is used. 1740:Consumer–resource interactions 1019: 1010: 989: 980: 428: 410:approaches 1 is well defined: 333: 321: 13: 1: 2586:Biological data visualization 2413:Environmental niche modelling 2140:Population viability analysis 2071:Density-dependent inhibition 7: 2726:Measurement of biodiversity 2540:Liebig's law of the minimum 2375:Resource selection function 1266:Metabolic theory of ecology 849:Measurement of biodiversity 777: 33:is the number of different 10: 2742: 2440:Niche apportionment models 2160:Relative species abundance 1364:Primary nutritional groups 1261:List of feeding behaviours 886:Relative species abundance 73:of this. The equation is: 2721:Environmental terminology 2689: 2621:Ecosystem based fisheries 2563: 2463: 2388: 2261: 2233:Interspecific competition 2198: 2125:Minimum viable population 2058: 1983:Maximum sustainable yield 1968:Intraspecific competition 1963:Effective population size 1926: 1843:Anti-predator adaptations 1828: 1707: 1634: 1591: 1513: 1480: 1377: 1354:Photosynthetic efficiency 1289: 1183: 960:10.1007/s00442-010-1812-0 891:Species–area relationship 764: 607:equals species richness. 192:equals mean proportional 2611:Ecological stoichiometry 2576:Alternative stable state 976:10.1088/1478-3975/ab6754 897: 759:Species discovery curves 61:Calculation of diversity 2455:Ontogenetic niche shift 2318:Ideal free distribution 2228:Ecological facilitation 1978:Malthusian growth model 1948:Consumer-resource model 1805:Paradox of the plankton 1770:Energy systems language 1490:Chemoorganoheterotrophy 1457:Optimal foraging theory 1432:Heterotrophic nutrition 1062:; Lance, G. N. (1969), 727:Sampling considerations 544:= 2 corresponds to the 2601:Ecological forecasting 2545:Marginal value theorem 2343:Landscape epidemiology 2278:Cross-boundary subsidy 2213:Biological interaction 1563:Microbial intelligence 1251:Green world hypothesis 669: 639: 577: 525: 486: 388: 342: 291: 233: 204:- 1. In the equation, 179: 127: 2606:Ecological humanities 2505:Ecological energetics 2450:Niche differentiation 2313:Habitat fragmentation 2081:Ecological extinction 2028:Small population size 1780:Feed conversion ratio 1760:Ecological succession 1692:San Francisco Estuary 1606:Ecological efficiency 1548:Microbial cooperation 856:Biotic homogenization 820:Earth sciences portal 670: 668:{\displaystyle p_{i}} 640: 638:{\displaystyle p_{i}} 578: 576:{\displaystyle p_{i}} 526: 466: 389: 387:{\displaystyle p_{i}} 343: 271: 234: 232:{\displaystyle p_{i}} 180: 107: 2631:Evolutionary ecology 2596:Ecological footprint 2591:Ecological economics 2515:Ecological threshold 2510:Ecological indicator 2380:Source–sink dynamics 2333:Land change modeling 2328:Insular biogeography 2180:Species distribution 1919:Modelling ecosystems 1578:Microbial metabolism 1417:Intraguild predation 1206:Biogeochemical cycle 1172:Modelling ecosystems 1117:Connexions (cnx.org) 652: 622: 583:value. In practice, 560: 417: 371: 246: 216: 80: 57:of the species are. 2681:Theoretical ecology 2656:Natural environment 2520:Ecosystem diversity 2490:Ecological collapse 2480:Bateman's principle 2435:Limiting similarity 2348:Landscape limnology 2170:Species homogeneity 2008:Population modeling 2003:Population dynamics 1820:Trophic state index 1113:"Species Diversity" 610:Negative values of 306: 158: 18:Taxonomic diversity 2711:Ecological metrics 2692:Outline of ecology 2641:Industrial ecology 2636:Functional ecology 2500:Ecological deficit 2445:Niche construction 2408:Ecosystem engineer 2185:Species–area curve 2106:Introduced species 1921:: Other components 1853:Deimatic behaviour 1755:Ecological network 1687:North Pacific Gyre 1672:hydrothermal vents 1611:Ecological pyramid 1558:Microbial food web 1369:Primary production 1314:Foundation species 861:Coexistence theory 792:Environment portal 755:Resampling methods 665: 635: 573: 521: 435: 384: 338: 292: 229: 175: 138: 2698: 2697: 2581:Balance of nature 2338:Landscape ecology 2223:Community ecology 2165:Species diversity 2101:Indicator species 2096:Gradient analysis 1973:Logistic function 1881: 1880: 1838:Animal coloration 1815:Trophic mutualism 1553:Microbial ecology 1344:Photoheterotrophs 1329:Myco-heterotrophy 1241:Ecosystem ecology 1226:Carrying capacity 1191:Abiotic component 876:Genetic diversity 693:diversity indices 687:Diversity indices 420: 194:species abundance 173: 171: 43:species abundance 31:Species diversity 16:(Redirected from 2733: 2398:Ecological niche 2370:selection theory 2190:Umbrella species 2175:Species richness 2111:Invasive species 2091:Flagship species 1998:Population cycle 1993:Overexploitation 1958:Ecological yield 1908: 1901: 1894: 1885: 1884: 1790:Mesotrophic soil 1730:Climax community 1662:Marine food webs 1601:Biomagnification 1402:Chemoorganotroph 1256:Keystone species 1216:Biotic component 1161: 1154: 1147: 1138: 1137: 1129:(Licensed under 1128: 1126: 1124: 1098: 1092: 1086: 1083: 1077: 1076: 1048: 1042: 1039: 1033: 1023: 1017: 1014: 1008: 1005: 996: 993: 987: 984: 978: 968: 962: 952: 939: 929: 916: 913: 822: 817: 816: 815: 808: 803: 802: 801: 794: 789: 788: 734:sampling methods 697:species richness 674: 672: 671: 666: 664: 663: 644: 642: 641: 636: 634: 633: 582: 580: 579: 574: 572: 571: 530: 528: 527: 522: 517: 513: 512: 511: 496: 495: 485: 480: 444: 443: 438: 434: 393: 391: 390: 385: 383: 382: 347: 345: 344: 339: 337: 336: 320: 311: 307: 305: 300: 290: 285: 257: 256: 251: 238: 236: 235: 230: 228: 227: 198:generalized mean 184: 182: 181: 176: 174: 172: 170: 159: 157: 146: 137: 136: 126: 121: 105: 100: 91: 90: 85: 67:weighted average 51:species evenness 47:species richness 21: 2741: 2740: 2736: 2735: 2734: 2732: 2731: 2730: 2701: 2700: 2699: 2694: 2685: 2671:Systems ecology 2559: 2530:Extinction debt 2495:Ecological debt 2485:Bioluminescence 2466: 2459: 2428:marine habitats 2403:Ecological trap 2384: 2264: 2257: 2200: 2194: 2150:Rapoport's rule 2145:Priority effect 2086:Endemic species 2054: 2013:Population size 1929: 1922: 1912: 1882: 1877: 1830: 1824: 1810:Trophic cascade 1720:Bioaccumulation 1703: 1630: 1587: 1509: 1476: 1373: 1285: 1246:Ecosystem model 1179: 1165: 1122: 1120: 1107: 1102: 1101: 1093: 1089: 1084: 1080: 1060:Williams, W. T. 1049: 1045: 1040: 1036: 1024: 1020: 1015: 1011: 1006: 999: 994: 990: 985: 981: 969: 965: 953: 942: 930: 919: 914: 905: 900: 895: 871:Gamma diversity 844:Diversity index 829:Alpha diversity 818: 813: 811: 804: 799: 797: 790: 783: 780: 767: 729: 689: 659: 655: 653: 650: 649: 629: 625: 623: 620: 619: 567: 563: 561: 558: 557: 546:arithmetic mean 536:Shannon entropy 507: 503: 491: 487: 481: 470: 462: 458: 439: 437: 436: 424: 418: 415: 414: 378: 374: 372: 369: 368: 316: 312: 301: 296: 286: 275: 270: 266: 265: 252: 250: 249: 247: 244: 243: 223: 219: 217: 214: 213: 160: 147: 142: 132: 128: 122: 111: 106: 104: 99: 86: 84: 83: 81: 78: 77: 63: 28: 23: 22: 15: 12: 11: 5: 2739: 2729: 2728: 2723: 2718: 2713: 2696: 2695: 2690: 2687: 2686: 2684: 2683: 2678: 2673: 2668: 2663: 2658: 2653: 2651:Microecosystem 2648: 2643: 2638: 2633: 2628: 2623: 2618: 2613: 2608: 2603: 2598: 2593: 2588: 2583: 2578: 2573: 2567: 2565: 2561: 2560: 2558: 2557: 2552: 2550:Thorson's rule 2547: 2542: 2537: 2532: 2527: 2522: 2517: 2512: 2507: 2502: 2497: 2492: 2487: 2482: 2477: 2475:Assembly rules 2471: 2469: 2461: 2460: 2458: 2457: 2452: 2447: 2442: 2437: 2432: 2431: 2430: 2420: 2415: 2410: 2405: 2400: 2394: 2392: 2386: 2385: 2383: 2382: 2377: 2372: 2360: 2358:Patch dynamics 2355: 2353:Metapopulation 2350: 2345: 2340: 2335: 2330: 2325: 2320: 2315: 2310: 2305: 2300: 2295: 2290: 2285: 2280: 2275: 2269: 2267: 2259: 2258: 2256: 2255: 2250: 2248:Storage effect 2245: 2240: 2235: 2230: 2225: 2220: 2215: 2210: 2204: 2202: 2196: 2195: 2193: 2192: 2187: 2182: 2177: 2172: 2167: 2162: 2157: 2152: 2147: 2142: 2137: 2132: 2130:Neutral theory 2127: 2122: 2117: 2115:Native species 2108: 2103: 2098: 2093: 2088: 2083: 2078: 2073: 2068: 2062: 2060: 2056: 2055: 2053: 2052: 2047: 2046: 2045: 2040: 2030: 2025: 2020: 2015: 2010: 2005: 2000: 1995: 1990: 1988:Overpopulation 1985: 1980: 1975: 1970: 1965: 1960: 1955: 1950: 1945: 1940: 1934: 1932: 1924: 1923: 1911: 1910: 1903: 1896: 1888: 1879: 1878: 1876: 1875: 1870: 1865: 1860: 1855: 1850: 1845: 1840: 1834: 1832: 1826: 1825: 1823: 1822: 1817: 1812: 1807: 1802: 1797: 1795:Nutrient cycle 1792: 1787: 1785:Feeding frenzy 1782: 1777: 1772: 1767: 1765:Energy quality 1762: 1757: 1752: 1747: 1742: 1737: 1732: 1727: 1725:Cascade effect 1722: 1717: 1711: 1709: 1705: 1704: 1702: 1701: 1700: 1699: 1694: 1689: 1684: 1679: 1674: 1669: 1659: 1654: 1649: 1644: 1638: 1636: 1632: 1631: 1629: 1628: 1623: 1618: 1613: 1608: 1603: 1597: 1595: 1589: 1588: 1586: 1585: 1580: 1575: 1570: 1568:Microbial loop 1565: 1560: 1555: 1550: 1545: 1540: 1535: 1533:Lithoautotroph 1530: 1525: 1519: 1517: 1515:Microorganisms 1511: 1510: 1508: 1507: 1502: 1497: 1492: 1486: 1484: 1478: 1477: 1475: 1474: 1472:Prey switching 1469: 1464: 1459: 1454: 1449: 1444: 1439: 1434: 1429: 1424: 1419: 1414: 1409: 1404: 1399: 1394: 1389: 1383: 1381: 1375: 1374: 1372: 1371: 1366: 1361: 1356: 1351: 1349:Photosynthesis 1346: 1341: 1336: 1331: 1326: 1321: 1316: 1311: 1306: 1304:Chemosynthesis 1301: 1295: 1293: 1287: 1286: 1284: 1283: 1278: 1273: 1268: 1263: 1258: 1253: 1248: 1243: 1238: 1233: 1228: 1223: 1218: 1213: 1208: 1203: 1198: 1196:Abiotic stress 1193: 1187: 1185: 1181: 1180: 1164: 1163: 1156: 1149: 1141: 1135: 1134: 1106: 1105:External links 1103: 1100: 1099: 1087: 1078: 1043: 1034: 1018: 1009: 997: 988: 979: 963: 940: 917: 902: 901: 899: 896: 894: 893: 888: 883: 878: 873: 868: 866:Dark diversity 863: 858: 853: 852: 851: 846: 836: 834:Beta diversity 831: 825: 824: 823: 809: 806:Ecology portal 795: 779: 776: 766: 763: 728: 725: 688: 685: 662: 658: 632: 628: 570: 566: 532: 531: 520: 516: 510: 506: 502: 499: 494: 490: 484: 479: 476: 473: 469: 465: 461: 457: 454: 451: 448: 442: 433: 430: 427: 423: 381: 377: 349: 348: 335: 332: 329: 326: 323: 319: 315: 310: 304: 299: 295: 289: 284: 281: 278: 274: 269: 264: 261: 255: 226: 222: 212:th species is 200:with exponent 186: 185: 169: 166: 163: 156: 153: 150: 145: 141: 135: 131: 125: 120: 117: 114: 110: 103: 98: 95: 89: 62: 59: 26: 9: 6: 4: 3: 2: 2738: 2727: 2724: 2722: 2719: 2717: 2714: 2712: 2709: 2708: 2706: 2693: 2688: 2682: 2679: 2677: 2676:Urban ecology 2674: 2672: 2669: 2667: 2664: 2662: 2659: 2657: 2654: 2652: 2649: 2647: 2644: 2642: 2639: 2637: 2634: 2632: 2629: 2627: 2624: 2622: 2619: 2617: 2614: 2612: 2609: 2607: 2604: 2602: 2599: 2597: 2594: 2592: 2589: 2587: 2584: 2582: 2579: 2577: 2574: 2572: 2569: 2568: 2566: 2562: 2556: 2553: 2551: 2548: 2546: 2543: 2541: 2538: 2536: 2535:Kleiber's law 2533: 2531: 2528: 2526: 2523: 2521: 2518: 2516: 2513: 2511: 2508: 2506: 2503: 2501: 2498: 2496: 2493: 2491: 2488: 2486: 2483: 2481: 2478: 2476: 2473: 2472: 2470: 2468: 2462: 2456: 2453: 2451: 2448: 2446: 2443: 2441: 2438: 2436: 2433: 2429: 2426: 2425: 2424: 2421: 2419: 2416: 2414: 2411: 2409: 2406: 2404: 2401: 2399: 2396: 2395: 2393: 2391: 2387: 2381: 2378: 2376: 2373: 2371: 2369: 2365: 2361: 2359: 2356: 2354: 2351: 2349: 2346: 2344: 2341: 2339: 2336: 2334: 2331: 2329: 2326: 2324: 2321: 2319: 2316: 2314: 2311: 2309: 2308:Foster's rule 2306: 2304: 2301: 2299: 2296: 2294: 2291: 2289: 2286: 2284: 2281: 2279: 2276: 2274: 2271: 2270: 2268: 2266: 2260: 2254: 2251: 2249: 2246: 2244: 2241: 2239: 2236: 2234: 2231: 2229: 2226: 2224: 2221: 2219: 2216: 2214: 2211: 2209: 2206: 2205: 2203: 2197: 2191: 2188: 2186: 2183: 2181: 2178: 2176: 2173: 2171: 2168: 2166: 2163: 2161: 2158: 2156: 2153: 2151: 2148: 2146: 2143: 2141: 2138: 2136: 2133: 2131: 2128: 2126: 2123: 2121: 2118: 2116: 2112: 2109: 2107: 2104: 2102: 2099: 2097: 2094: 2092: 2089: 2087: 2084: 2082: 2079: 2077: 2074: 2072: 2069: 2067: 2064: 2063: 2061: 2057: 2051: 2048: 2044: 2041: 2039: 2036: 2035: 2034: 2031: 2029: 2026: 2024: 2021: 2019: 2016: 2014: 2011: 2009: 2006: 2004: 2001: 1999: 1996: 1994: 1991: 1989: 1986: 1984: 1981: 1979: 1976: 1974: 1971: 1969: 1966: 1964: 1961: 1959: 1956: 1954: 1951: 1949: 1946: 1944: 1941: 1939: 1936: 1935: 1933: 1931: 1925: 1920: 1916: 1909: 1904: 1902: 1897: 1895: 1890: 1889: 1886: 1874: 1871: 1869: 1866: 1864: 1861: 1859: 1856: 1854: 1851: 1849: 1846: 1844: 1841: 1839: 1836: 1835: 1833: 1827: 1821: 1818: 1816: 1813: 1811: 1808: 1806: 1803: 1801: 1798: 1796: 1793: 1791: 1788: 1786: 1783: 1781: 1778: 1776: 1773: 1771: 1768: 1766: 1763: 1761: 1758: 1756: 1753: 1751: 1748: 1746: 1743: 1741: 1738: 1736: 1733: 1731: 1728: 1726: 1723: 1721: 1718: 1716: 1713: 1712: 1710: 1706: 1698: 1695: 1693: 1690: 1688: 1685: 1683: 1680: 1678: 1675: 1673: 1670: 1668: 1665: 1664: 1663: 1660: 1658: 1655: 1653: 1650: 1648: 1645: 1643: 1640: 1639: 1637: 1633: 1627: 1626:Trophic level 1624: 1622: 1619: 1617: 1614: 1612: 1609: 1607: 1604: 1602: 1599: 1598: 1596: 1594: 1590: 1584: 1583:Phage ecology 1581: 1579: 1576: 1574: 1573:Microbial mat 1571: 1569: 1566: 1564: 1561: 1559: 1556: 1554: 1551: 1549: 1546: 1544: 1541: 1539: 1536: 1534: 1531: 1529: 1528:Bacteriophage 1526: 1524: 1521: 1520: 1518: 1516: 1512: 1506: 1503: 1501: 1498: 1496: 1495:Decomposition 1493: 1491: 1488: 1487: 1485: 1483: 1479: 1473: 1470: 1468: 1465: 1463: 1460: 1458: 1455: 1453: 1450: 1448: 1445: 1443: 1442:Mesopredators 1440: 1438: 1435: 1433: 1430: 1428: 1425: 1423: 1420: 1418: 1415: 1413: 1410: 1408: 1405: 1403: 1400: 1398: 1395: 1393: 1390: 1388: 1387:Apex predator 1385: 1384: 1382: 1380: 1376: 1370: 1367: 1365: 1362: 1360: 1357: 1355: 1352: 1350: 1347: 1345: 1342: 1340: 1337: 1335: 1332: 1330: 1327: 1325: 1322: 1320: 1317: 1315: 1312: 1310: 1307: 1305: 1302: 1300: 1297: 1296: 1294: 1292: 1288: 1282: 1279: 1277: 1274: 1272: 1269: 1267: 1264: 1262: 1259: 1257: 1254: 1252: 1249: 1247: 1244: 1242: 1239: 1237: 1234: 1232: 1229: 1227: 1224: 1222: 1221:Biotic stress 1219: 1217: 1214: 1212: 1209: 1207: 1204: 1202: 1199: 1197: 1194: 1192: 1189: 1188: 1186: 1182: 1177: 1173: 1169: 1162: 1157: 1155: 1150: 1148: 1143: 1142: 1139: 1132: 1118: 1114: 1109: 1108: 1096: 1091: 1082: 1075: 1071: 1067: 1066: 1061: 1057: 1056:Tracey, J. G. 1053: 1047: 1038: 1032: 1028: 1022: 1013: 1004: 1002: 992: 983: 977: 973: 967: 961: 957: 951: 949: 947: 945: 938: 934: 928: 926: 924: 922: 912: 910: 908: 903: 892: 889: 887: 884: 882: 879: 877: 874: 872: 869: 867: 864: 862: 859: 857: 854: 850: 847: 845: 842: 841: 840: 837: 835: 832: 830: 827: 826: 821: 810: 807: 796: 793: 787: 782: 775: 773: 762: 760: 756: 750: 748: 744: 740: 737:the value of 735: 724: 722: 718: 714: 708: 706: 705:Simpson index 702: 701:Shannon index 698: 694: 684: 682: 678: 660: 656: 646: 630: 626: 617: 613: 608: 606: 602: 598: 594: 590: 586: 568: 564: 555: 551: 547: 543: 539: 537: 518: 514: 508: 504: 500: 497: 492: 488: 482: 477: 474: 471: 467: 463: 459: 455: 452: 449: 446: 440: 431: 425: 413: 412: 411: 409: 405: 401: 397: 379: 375: 366: 363:, which is 1/ 362: 361:harmonic mean 358: 354: 351:The value of 330: 327: 324: 317: 313: 308: 302: 297: 293: 287: 282: 279: 276: 272: 267: 262: 259: 253: 242: 241: 240: 224: 220: 211: 207: 203: 199: 195: 191: 167: 164: 161: 154: 151: 148: 143: 139: 133: 129: 123: 118: 115: 112: 108: 101: 96: 93: 87: 76: 75: 74: 72: 68: 58: 56: 52: 48: 44: 40: 36: 32: 19: 2661:Regime shift 2646:Macroecology 2367: 2363: 2303:Edge effects 2273:Biogeography 2218:Commensalism 2164: 2066:Biodiversity 1943:Allee effect 1682:kelp forests 1635:Example webs 1500:Detritivores 1339:Organotrophs 1319:Kinetotrophs 1271:Productivity 1121:. Retrieved 1116: 1090: 1081: 1064: 1046: 1037: 1021: 1012: 991: 982: 966: 839:Biodiversity 768: 751: 746: 742: 738: 730: 720: 716: 712: 709: 690: 680: 676: 647: 615: 611: 609: 604: 600: 596: 592: 588: 584: 549: 541: 540: 533: 407: 403: 399: 395: 367:because the 364: 356: 352: 350: 209: 205: 201: 187: 64: 30: 29: 2298:Disturbance 2201:interaction 2023:Recruitment 1953:Depensation 1745:Copiotrophs 1616:Energy flow 1538:Lithotrophy 1482:Decomposers 1462:Planktivore 1437:Insectivore 1427:Heterotroph 1392:Bacterivore 1359:Phototrophs 1309:Chemotrophs 1281:Restoration 1231:Competition 1052:Webb, L. J. 552:approaches 190:denominator 2705:Categories 2666:Sexecology 2243:Parasitism 2208:Antibiosis 2043:Resistance 2038:Resilience 1928:Population 1848:Camouflage 1800:Oligotroph 1715:Ascendency 1677:intertidal 1667:cold seeps 1621:Food chain 1422:Herbivores 1397:Carnivores 1324:Mixotrophs 1299:Autotrophs 1178:components 1123:1 February 55:abundances 2571:Allometry 2525:Emergence 2253:Symbiosis 2238:Mutualism 2033:Stability 1938:Abundance 1750:Dominance 1708:Processes 1697:tide pool 1593:Food webs 1467:Predation 1452:Omnivores 1379:Consumers 1334:Mycotroph 1291:Producers 1236:Ecosystem 1201:Behaviour 501:⁡ 468:∑ 464:− 456:⁡ 429:→ 328:− 273:∑ 165:− 152:− 109:∑ 39:community 2626:Endolith 2555:Xerosere 2467:networks 2283:Ecocline 1829:Defense, 1505:Detritus 1407:Foraging 1276:Resource 1095:Chao, A. 778:See also 772:habitats 554:infinity 2716:Habitat 2616:Ecopath 2423:Habitat 2293:Ecotype 2288:Ecotone 2265:ecology 2263:Spatial 2199:Species 2059:Species 1930:ecology 1915:Ecology 1863:Mimicry 1831:counter 1775:f-ratio 1523:Archaea 1211:Biomass 1184:General 1176:Trophic 1168:Ecology 1074:2257891 741:: when 71:inverse 35:species 1647:Rivers 1543:Marine 1072:  765:Trends 703:, the 699:, the 2564:Other 2465:Other 2418:Guild 2390:Niche 1642:Lakes 1070:JSTOR 898:Notes 548:. As 1652:Soil 1125:2011 711:log( 188:The 1027:doi 972:doi 956:doi 933:doi 453:exp 422:lim 2707:: 2113:/ 1917:: 1174:: 1170:: 1133:). 1115:. 1058:; 1054:; 1000:^ 943:^ 920:^ 906:^ 538:. 498:ln 402:. 2368:K 2366:/ 2364:r 1907:e 1900:t 1893:v 1160:e 1153:t 1146:v 1127:. 1029:: 974:: 958:: 935:: 747:q 743:q 739:q 721:D 717:D 713:D 681:D 677:i 661:i 657:p 631:i 627:p 616:q 612:q 605:q 601:q 597:q 593:q 589:q 585:q 569:i 565:p 550:q 542:q 519:, 515:) 509:i 505:p 493:i 489:p 483:S 478:1 475:= 472:i 460:( 450:= 447:D 441:q 432:1 426:q 408:q 404:q 400:S 396:D 380:i 376:p 365:S 357:q 353:q 334:) 331:q 325:1 322:( 318:/ 314:1 309:) 303:q 298:i 294:p 288:S 283:1 280:= 277:i 268:( 263:= 260:D 254:q 225:i 221:p 210:i 206:S 202:q 168:1 162:q 155:1 149:q 144:i 140:p 134:i 130:p 124:S 119:1 116:= 113:i 102:1 97:= 94:D 88:q 20:)

Index

Taxonomic diversity
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

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