A New Phylogenetic Diversity Measure Generalizing the Shannon Index and Its Application to Phyllostomid Bats
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Bridging the Gap Between Ecological Diversity Indices and Measures of Biodiversity with Shannon’S Entropy: Comment to Izsa´K and Papp
Ecological Modelling 152 (2002) 1–3 www.elsevier.com/locate/ecolmodel Bridging the gap between ecological diversity indices and measures of biodiversity with Shannon’s entropy: comment to Izsa´k and Papp Carlo Ricotta * Department of Plant Biology, Uni6ersity of Rome ‘‘La Sapienza’’, Piazzale Aldo Moro 5, 00185 Rome, Italy Received 31 May 2001; accepted 11 October 2001 Abstract Most ecological diversity indices summarize the information about the relative abundances of community species without reflecting taxonomic differences between species. Nevertheless, in the environmental conservation practice, data on species abundances are generally unknown. In such cases, to summarize the conservation value of a given site, so-called ‘biological diversity’ measures need to be used. Most of these measures are based on taxonomic relations among species and ignore species relative abundances. In a recent paper, Izsa´k and Papp suggest that the quadratic entropy index (Q) is the only diversity index used to date in the ecological practice that incorporates both species relative abundances and a measure of the pairwise taxonomic differences between species in the analyzed data set. I show here that a number of traditional ecological diversity measures can be generalized to take into account a taxonomic weighting factor. Since these new indices violate part of the mathematical properties that an index should meet to be termed an ecological diversity index, I defined this new family of indices ‘weak diversity indices’. © 2002 Elsevier Science B.V. All rights reserved. Keywords: Biodiversity measures; Ecological diversity; Quadratic entropy; Shannon’s entropy; Species richness 1. Introduction data on species abundances are generally un- known. -
Index of Handbook of the Mammals of the World. Vol. 9. Bats
Index of Handbook of the Mammals of the World. Vol. 9. Bats A agnella, Kerivoula 901 Anchieta’s Bat 814 aquilus, Glischropus 763 Aba Leaf-nosed Bat 247 aladdin, Pipistrellus pipistrellus 771 Anchieta’s Broad-faced Fruit Bat 94 aquilus, Platyrrhinus 567 Aba Roundleaf Bat 247 alascensis, Myotis lucifugus 927 Anchieta’s Pipistrelle 814 Arabian Barbastelle 861 abae, Hipposideros 247 alaschanicus, Hypsugo 810 anchietae, Plerotes 94 Arabian Horseshoe Bat 296 abae, Rhinolophus fumigatus 290 Alashanian Pipistrelle 810 ancricola, Myotis 957 Arabian Mouse-tailed Bat 164, 170, 176 abbotti, Myotis hasseltii 970 alba, Ectophylla 466, 480, 569 Andaman Horseshoe Bat 314 Arabian Pipistrelle 810 abditum, Megaderma spasma 191 albatus, Myopterus daubentonii 663 Andaman Intermediate Horseshoe Arabian Trident Bat 229 Abo Bat 725, 832 Alberico’s Broad-nosed Bat 565 Bat 321 Arabian Trident Leaf-nosed Bat 229 Abo Butterfly Bat 725, 832 albericoi, Platyrrhinus 565 andamanensis, Rhinolophus 321 arabica, Asellia 229 abramus, Pipistrellus 777 albescens, Myotis 940 Andean Fruit Bat 547 arabicus, Hypsugo 810 abrasus, Cynomops 604, 640 albicollis, Megaerops 64 Andersen’s Bare-backed Fruit Bat 109 arabicus, Rousettus aegyptiacus 87 Abruzzi’s Wrinkle-lipped Bat 645 albipinnis, Taphozous longimanus 353 Andersen’s Flying Fox 158 arabium, Rhinopoma cystops 176 Abyssinian Horseshoe Bat 290 albiventer, Nyctimene 36, 118 Andersen’s Fruit-eating Bat 578 Arafura Large-footed Bat 969 Acerodon albiventris, Noctilio 405, 411 Andersen’s Leaf-nosed Bat 254 Arata Yellow-shouldered Bat 543 Sulawesi 134 albofuscus, Scotoecus 762 Andersen’s Little Fruit-eating Bat 578 Arata-Thomas Yellow-shouldered Talaud 134 alboguttata, Glauconycteris 833 Andersen’s Naked-backed Fruit Bat 109 Bat 543 Acerodon 134 albus, Diclidurus 339, 367 Andersen’s Roundleaf Bat 254 aratathomasi, Sturnira 543 Acerodon mackloti (see A. -
Species Biodiversity Lab
SCIENCE IN THE PARK: ROCK POOLS SPECIES BIODIVERSITY LAB Purpose: To understand the importance of biodiversity, calculate the indices of the Simpson’s Index, and quantify the biodiversity of a sample. Developed by E. A. Betts Time: 40 minutes BACKGROUND: Simpson's Diversity Index is a measure of diversity. In ecology, it is often used to quantify the biodiversity of a habitat. It takes into account the number of species present, as well as the abundance of each species. Before looking at Simpson's Diversity Index in more detail, it is important to understand the basic concepts. Biological diversity can be quantified in many different ways. The two main factors taken into account when measuring diversity are richness and evenness. Richness is a measure of the number of different kinds of organisms present in a particular area. For example, species richness is the number of different species present. However, diversity depends not only on richness, but also on evenness. Evenness compares the similarity of the population size of each of the species present. Richness - The number of species per sample is a measure of richness. The more species present in a sample, the 'richer' the sample. Species richness as a measure on its own takes no account of the number of individuals of each species present. It gives as much weight to those species which have very few individuals as to those which have many individuals. Thus, one daisy has as much influence on the richness of an area as 1000 buttercups. Evenness - Evenness is a measure of the relative abundance of the different species that make up the richness of an area. -
Indexes of Group Diversity 1 Some Common Indexes Of
INDEXES OF GROUP DIVERSITY 1 SOME COMMON INDEXES OF GROUP DIVERSITY: UPPER BOUNDARIES1,2 ANTONIO SOLANAS Department of Behavioral Sciences Methods, Faculty of Psychology, University of Barcelona Institute for Research in Brain, Cognition, and Behavior (IR3C), University of Barcelona REJINA M. SELVAM Department of Behavioral Sciences Methods, Faculty of Psychology, University of Barcelona Institute for Research in Brain, Cognition, and Behavior (IR3C), University of Barcelona JOSÉ NAVARRO Department of Social Psychology, Faculty of Psychology, University of Barcelona DAVID LEIVA Department of Behavioral Sciences Methods, Faculty of Psychology, University of Barcelona Institute for Research in Brain, Cognition, and Behavior (IR3C), University of Barcelona 1 Address correspondence to Antonio Solanas, Departament de Metodologia de les Ciències del Comportament, Facultat de Psicologia, Universitat de Barcelona, Passeig de la Vall d’Hebron, 171, 08035-Barcelona, Spain. Electronic mail may be sent to Antonio Solanas at: ([email protected]) 2This research was supported by the Spanish Ministry of Science and Innovation, grant PSI2009-07076 and by the Generalitat of Catalonia’s Agència de Gestió d’Ajuts Universitaris i de Recerca, grant 2009SGR1492. INDEXES OF GROUP DIVERSITY 2 Summary. —Workgroup diversity can be conceptualized as variety, separation, or disparity. Thus, the proper operationalization of diversity depends on how a diversity dimension has been defined. Analytically, the minimal diversity must be obtained when there are no differences -
The Golden Bat
The Golden Bat By Frederick Merrick White The Golden Bat I - ONE OF THE SECRET SQUAD The big clean-shaven man with the florid, humorous face and mobile lips would have passed anywhere for a barrister in prosperous practice, or perhaps, a cabinet minister, well-dressed, assured, and certain of himself, and it was his business to convey that impression, because Lytton Barle was head of the Secret Squad at New Scotland, a position not to be proclaimed on the house- tops. He was seated at a desk in his private room, with a big cigar in his mouth, like some gentleman of leisure, and his younger companion, in his neat, well-cut lounge suit, might have just stepped out of his club in search of a congenial way of passing an idle morning. "Uncommonly glad to see you back in England again, Ray," Barle was saying. "And more pleased still to know that you are ready to take a hand at the old game. Tired of New Guinea, what?" "Well, not exactly that, Harry," Ray smiled. "I'm looking for Edward Keen, the man who robbed me of something like £40,000, and, like the boy in the advertisement, I shan't be happy till I find him. But that's a long story of tropical adventure, and, as the last chapter is rather crude still, I don't propose to go into it now. A slender clue led me from New Guinea to London, and here I am. Been golfing most of the summer at Hunstanton, and came on here last Monday ready to take up the clue I spoke of in earnest. -
Diversity Indices: Shannon and Simpson
Name: Date: Student Handout 1A: How to Calculate Biodiversity Diversity Indices: A) A diversity index is a mathematical measure of species diversity in a given community. B) Based on the species richness (the number of species present) and species abundance (the number of individuals per species). C) The more species you have, the more diverse the area, right? D) However, there are two types of indices, dominance indices and information statistic indices. E) The equations for the two indices we will study are: s Shannon Index (H) = - ∑ pi ln pi i=1 1 Simpson Index (D) = s 2 ∑ pi i=1 The Shannon index is an information statistic index, which means it assumes all species are represented in a sample and that they are randomly sampled. Can you point out any problems in these assumptions? In the Shannon index, p is the proportion (n/N) of individuals of one particular species found (n) divided by the total number of individuals found (N), ln is the natural log, Σ is the sum of the calculations, and s is the number of species. The Simpson index is a dominance index because it gives more weight to common or dominant species. In this case, a few rare species with only a few representatives will not affect the diversity. Can you point out any problems in these assumptions? In the Simpson index, p is the proportion (n/N) of individuals of one particular species found (n) divided by the total number of individuals found (N), Σ is still the sum of the calculations, and s is the number of species. -
Check out the Listing of Mammal Species Found
30 MP EPN TMN HV Taxa Colloquial name R P R ORDER: ARTIODACTYLA Family: Cervidae X V, Mazama americana Red Brocket Deer WC Mazama pandora Gray Brocket Deer X V, Odocoileus virginianus truei White-tailed Deer MM Family: Tayassuidae X V, Pecari tajacu Collared Peccary WC Tayassu pecari White-lipped Peccary X WC ORDER: Carnivora Family: Canidae Canis latrans goldmani Coyote V? Urocyon cinereoargenteus X V, fraterculus Gray Fox WC Family: Felidae X V, Leopardus pardalis pardalis Ocelot WC X V, Leopardus wiedii yucatanicus Margay WC X V, Panthera onca hernandesii Jaguar WC X X, Puma concolor mayensis Puma MM Puma yagouaroundi fossata Jaguarundi x V Family: Mephitidae Conepatus leuconotus American Hog-nosed Skunk Conepatus semistriatus WC yucatanesis Striped Hog-nosed Skunk Spilogale angustifrons Southern Spotted Skunk MM, Eira barbara senex Tayra V, Galictis vittata canaster Grison V X V, Lontra longicaudis annectens Neotropical Otter WC Mustela frenata perda Long-tailed Weasel X MM, Hidden Valley Management Plan 2010 – 2015 Volume 2 31 MP EPN TMN HV Taxa Colloquial name R P R V, Family: Procyonidae Bassariscus sumichrasti Ringtail / Cacomistle WC Nasua narica Coatimundi X V Potos flavus chiriquensis Kinkajou X Procyon lotor shufeldti Raccon X WC ORDER: CHIROPTERA Family: Emballonuridae Balantiopteryx io Least Sac-winged Bat Centronycteris centralis Thomas' Bat Diclidurus albus Northern Ghost Bat MM Peropteryx kappleri Greater Dog-like Bat MM Peropteryx macrotis Lesser Dog-like Bat MM Rhynchonycteris naso Proboscis Bat Saccopteryx bilineata -
List of 28 Orders, 129 Families, 598 Genera and 1121 Species in Mammal Images Library 31 December 2013
What the American Society of Mammalogists has in the images library LIST OF 28 ORDERS, 129 FAMILIES, 598 GENERA AND 1121 SPECIES IN MAMMAL IMAGES LIBRARY 31 DECEMBER 2013 AFROSORICIDA (5 genera, 5 species) – golden moles and tenrecs CHRYSOCHLORIDAE - golden moles Chrysospalax villosus - Rough-haired Golden Mole TENRECIDAE - tenrecs 1. Echinops telfairi - Lesser Hedgehog Tenrec 2. Hemicentetes semispinosus – Lowland Streaked Tenrec 3. Microgale dobsoni - Dobson’s Shrew Tenrec 4. Tenrec ecaudatus – Tailless Tenrec ARTIODACTYLA (83 genera, 142 species) – paraxonic (mostly even-toed) ungulates ANTILOCAPRIDAE - pronghorns Antilocapra americana - Pronghorn BOVIDAE (46 genera) - cattle, sheep, goats, and antelopes 1. Addax nasomaculatus - Addax 2. Aepyceros melampus - Impala 3. Alcelaphus buselaphus - Hartebeest 4. Alcelaphus caama – Red Hartebeest 5. Ammotragus lervia - Barbary Sheep 6. Antidorcas marsupialis - Springbok 7. Antilope cervicapra – Blackbuck 8. Beatragus hunter – Hunter’s Hartebeest 9. Bison bison - American Bison 10. Bison bonasus - European Bison 11. Bos frontalis - Gaur 12. Bos javanicus - Banteng 13. Bos taurus -Auroch 14. Boselaphus tragocamelus - Nilgai 15. Bubalus bubalis - Water Buffalo 16. Bubalus depressicornis - Anoa 17. Bubalus quarlesi - Mountain Anoa 18. Budorcas taxicolor - Takin 19. Capra caucasica - Tur 20. Capra falconeri - Markhor 21. Capra hircus - Goat 22. Capra nubiana – Nubian Ibex 23. Capra pyrenaica – Spanish Ibex 24. Capricornis crispus – Japanese Serow 25. Cephalophus jentinki - Jentink's Duiker 26. Cephalophus natalensis – Red Duiker 1 What the American Society of Mammalogists has in the images library 27. Cephalophus niger – Black Duiker 28. Cephalophus rufilatus – Red-flanked Duiker 29. Cephalophus silvicultor - Yellow-backed Duiker 30. Cephalophus zebra - Zebra Duiker 31. Connochaetes gnou - Black Wildebeest 32. Connochaetes taurinus - Blue Wildebeest 33. Damaliscus korrigum – Topi 34. -
The Shannon-Weiner Species Diversity Index
This article reprinted from: Nolan, K.A. and J.E. Callahan. 2006. Beachcomber biology: The Shannon-Weiner Species Diversity Index. Pages 334-338, in Tested Studies for Laboratory Teaching, Volume 27 (M.A. O'Donnell, Editor). Proceedings of the 27th Workshop/Conference of the Association for Biology Laboratory Education (ABLE), 383 pages. Compilation copyright © 2006 by the Association for Biology Laboratory Education (ABLE) ISBN 1-890444-09-X All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any form or by any means, electronic, mechanical, photocopying, recording, or otherwise, without the prior written permission of the copyright owner. Use solely at one’s own institution with no intent for profit is excluded from the preceding copyright restriction, unless otherwise noted on the copyright notice of the individual chapter in this volume. Proper credit to this publication must be included in your laboratory outline for each use; a sample citation is given above. Upon obtaining permission or with the “sole use at one’s own institution” exclusion, ABLE strongly encourages individuals to use the exercises in this proceedings volume in their teaching program. Although the laboratory exercises in this proceedings volume have been tested and due consideration has been given to safety, individuals performing these exercises must assume all responsibilities for risk. The Association for Biology Laboratory Education (ABLE) disclaims any liability with regards to safety in connection with the use of the exercises in this volume. The focus of ABLE is to improve the undergraduate biology laboratory experience by promoting the development and dissemination of interesting, innovative, and reliable laboratory exercises. -
Spatial Patterns of Bacterial Richness and Evenness in the NW Mediterranean Sea Explored by Pyrosequencing of the 16S Rrna
Vol. 61: 221–233, 2010 AQUATIC MICROBIAL ECOLOGY Published online December 30 doi: 10.3354/ame01484 Aquat Microb Ecol Contribution to AME Special 4 ‘Progress and perspectives in aquatic microbial ecology’ OPENPEN ACCESSCCESS Spatial patterns of bacterial richness and evenness in the NW Mediterranean Sea explored by pyrosequencing of the 16S rRNA Thomas Pommier1, 2, P. R. Neal3, Josep M. Gasol1, Montserrat Coll1, Silvia G. Acinas1, Carlos Pedrós-Alió1,* 1Departament de Biologia Marina i Oceanografia, Institut de Ciències del Mar, CSIC, 08003 Barcelona, Spain 2Ecologie Microbienne, UMR5557, USC1193 CNRS, INRA, Université Lyon I, 69622 Villeurbanne, France 3Marine Biological Laboratory, Woods Hole, 02543 Massachusetts, USA ABSTRACT: Due to analytical limitations, patterns of richness and evenness of microbes are scarce in the current literature. The newest and powerful pyrosequencing technology may solve this issue by sampling thousands of sequences from the same community. We conducted a study of diversity along a horizontal transect (ca. 120 km) and a depth profile (surface to bottom at ca. 2000 m) in the northwestern Mediterranean Sea, using this technology on the V6 region of the 16S rDNA gene and analyzed patterns of richness and evenness of marine free-living bacterial communities. A total of 201 605 tag sequences were obtained from the 10 samples considered and clustered according to their similarity in 1200 operational taxonomic units (OTUs) per sample on average. We found a par- allel decrease in richness and evenness from coast to offshore and from bottom to surface. We also observed a predominance of a few OTUs in each sample, while ca. 50% of all OTUs were found as singletons, which indicated that the community structures differed dramatically between sites despite the relative proximity and the physical connectivity between the samples. -
The Use of Entropy to Measure Structural Diversity
The use of entropy to measure structural diversity L. Masisi 1, V. Nelwamondo 2 and T. Marwala 1 1School of Electrical & Information Engineering Witwatersrand University, P/Bag 3, Wits, 2050, South Africa 2Graduate School of Arts and Sciences, Harvard University, GSAS Mail Center Child 412, 26 Everett Street Cambridge, Massachusetts, 02138 USA Abstract — In this paper entropy based methods are accuracy. However this study will only focus on three compared and used to measure structural diversity of an measures of diversity, Shannon, Simpson and Berger ensemble of 21 classifiers. This measure is mostly applied in Parker to quantify structural diversity of the classifiers. ecology, whereby species counts are used as a measure of Shannon entropy has found its fame in information diversity. The measures used were Shannon entropy, theory as it is used to measure the uncertainty of Simpsons and the Berger Parker diversity indexes. As the states[10]. In ecology Shannon is used to measure the diversity indexes increased so did the accuracy of the ensemble. An ensemble dominated by classifiers with the diversity indices of species, however in this study instead same structure produced poor accuracy. Uncertainty rule of the biological species the individual classifiers are from information theory was also used to further define treated as species [11]. For example, if there are three diversity. Genetic algorithms were used to find the optimal species of different kind, two of the same kind and one of ensemble by using the diversity indices as the cost function. another kind, then that would replicate three MLP's of The method of voting was used to aggregate the decisions. -
Measuring Biological Diversity in R
Measuring biological diversity in R Dan Flynn, Brenda Lin, and Daniel Bunker 18 March 2008 Columbia University Understanding biodiversity and the ecosystem processes that come with said biodiversity can help inform policy toward sustainable development. Land use changes have affected the habitat and feeding resources of many taxa, thereby changing species composition and abundances. This change in land use and species distribution may also lead to changes in ecosystem services and functions that are necessary for human well-being. In this lab, we will look at changes within bird species diversity as land is converted from forest to more intensive coffee agriculture. Coffee is a crop that is grown within a large variation of shade cover. On the one extreme is traditional rustic coffee, which is planted under a forest canopy, and on the other extreme is intensive coffee agriculture, which has little or no shade cover (Figure 1). There is a large range of shade systems in between these two extremes. The conversion of coffee farms from traditional rustic systems to intensive, unshaded monocultures is presumed to have large effects on bird biodiversity because of the loss of vegetation diversity and structure in sun monocultures. This may be especially important for bird migration between North and South America because shade trees within traditional coffee farms have served as potential sources of habitat and food during previous migration, and declines in certain bird species have been blamed on the gradual removal of shade trees in Central American coffee systems. 1 The data you will be using in this lab looks at the bird species found in forest, rustic coffee, polyculture, and shaded monoculture habitats.