Community Characteristics, Types of Biodiversity, Diversity Index, Abundance, Species Richness, Vertical and Horizontal Stratification: Part II
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Gamma Diversity: Derived from and a Determinant of Alpha Diversity and Beta Diversity
Acta Zoologica Mexicana (n.s.) 90: 27-76 (2003) GAMMA DIVERSITY: DERIVED FROM AND A DETERMINANT OF ALPHA DIVERSITY AND BETA DIVERSITY. AN ANALYSIS OF THREE TROPICAL LANDSCAPES Lucrecia ARELLANO y Gonzalo HALFFTER Instituto de Ecología, A.C. Departamento de Ecología y Comportamiento Animal Apartado Postal 63, 91000 Xalapa, Veracruz, MÉXICO E-mail: [email protected] [email protected] RESUMEN Utilizando tres grupos taxonómicos en este trabajo examinamos como las diversidades alfa y beta influyen en la riqueza de especies de un paisaje (diversidad gamma), así como el fenómeno recíproco. Es decir, como la riqueza en especies de un paisaje (un fenómeno histórico-biogeográfico) contribuye a determinar los valores de la diversidad alfa por sitio, por comunidad, la riqueza acumulada de especies por comunidad y la intensidad del recambio entre comunidades. Los grupos utilizados son dos subfamilias de Scarabaeoidea: Scarabaeinae y Geotrupinae, y la familia Silphidae. En todos los análisis los tres grupos taxonómicos son manejados como un grupo indicador: los escarabajos copronecrófagos. De una manera lateral se incluye información sobre la subfamilia Aphodiinae (Scarabaeoidea), escarabajos coprófagos no incorporados al manejo del grupo indicador. Los paisajes estudiados son tres (tropical, de transición y de montaña), situados en un gradiente altitudinal en la parte central del estado de Veracruz. Partimos de las premisas siguientes. La diversidad alfa de un grupo indicador refleja el número de especies que utiliza un mismo ambiente o recurso en un lugar o comunidad. La diversidad beta espacial se relaciona con la respuesta de los organismos a la heterogeneidad del espacio. La diversidad gamma depende fundamentalmente de los procesos histórico-geográficos que actúan a nivel de mesoescala y está también condicionada por las diversidades alfa y beta. -
Functional Benefits of Predator Species Diversity Depend on Prey Identity
Ecological Entomology (2005) 30, 497–501 Functional benefits of predator species diversity depend on prey identity A. WILBY1 , S. C. VILLAREAL2 ,L.P.LAN3 ,K.L.HEONG2 and 1 M. B. THOMAS 1Department of Agricultural Sciences and NERC Centre for Population Biology, Imperial College London, U.K., 2International Rice Research Institute, Metro Manila, Philippines and 3Institute of Agricultural Sciences of South Vietnam, Ho Chi Minh City, Vietnam Abstract. 1. Determining the functional significance of species diversity in nat- ural enemy assemblages is a key step towards prediction of the likely impact of biodiversity loss on natural pest control processes. While the biological control literature contains examples in which increased natural enemy diversity hinders pest control, other studies have highlighted mechanisms where pest suppression is promoted by increased enemy diversity. 2. This study aimed to test whether increased predator species diversity results in higher rates of predation on two key, but contrasting, insect pest species commonly found in the rice ecosystems of south-east Asia. 3. Glasshouse experiments were undertaken in which four life stages of a planthopper (Nilaparvata lugens) and a moth (Marasmia patnalis) were caged with single or three-species combinations of generalist predators. 4. Generally, predation rates of the three-species assemblages exceeded expec- tation when attacking M. patnalis, but not when attacking N. lugens. In addition, a positive effect of increased predator species richness on overall predation rate was found with M. patnalis but not with N. lugens. 5. The results are consistent with theoretical predictions that morphological and behavioural differentiation among prey life stages promotes functional com- plementarity among predator species. -
Patterns of Alpha, Beta and Gamma Diversity of the Herpetofauna in Mexico’S Pacific Lowlands and Adjacent Interior Valleys A
Animal Biodiversity and Conservation 30.2 (2007) 169 Patterns of alpha, beta and gamma diversity of the herpetofauna in Mexico’s Pacific lowlands and adjacent interior valleys A. García, H. Solano–Rodríguez & O. Flores–Villela García, A., Solano–Rodríguez, H. & Flores–Villela, O., 2007. Patterns of alpha, beta and gamma diversity of the herpetofauna in Mexico's Pacific lowlands and adjacent interior valleys. Animal Biodiversity and Conservation, 30.2: 169–177. Abstract Patterns of alpha, beta and gamma diversity of the herpetofauna in Mexico’s Pacific lowlands and adjacent interior valleys.— The latitudinal distribution patterns of alpha, beta and gamma diversity of reptiles, amphibians and herpetofauna were analyzed using individual binary models of potential distribution for 301 species predicted by ecological modelling for a grid of 9,932 quadrants of ~25 km2 each. We arranged quadrants in 312 latitudinal bands in which alpha, beta and gamma values were determined. Latitudinal trends of all scales of diversity were similar in all groups. Alpha and gamma responded inversely to latitude whereas beta showed a high latitudinal fluctuation due to the high number of endemic species. Alpha and gamma showed a strong correlation in all groups. Beta diversity is an important component of the herpetofauna distribution patterns as a continuous source of species diversity throughout the region. Key words: Latitudinal distribution pattern, Diversity scales, Herpetofauna, Western Mexico. Resumen Patrones de diversidad alfa, beta y gama de la herpetofauna de las tierras bajas y valles adyacentes del Pacífico de México.— Se analizaron los patrones de distribución latitudinales de la diversidad alfa, beta y gama de los reptiles, anfibios y herpetofauna utilizando modelos binarios individuales de distribución potencial de 301 especies predichas mediante un modelo ecológico para una cuadrícula de 9.932 cuadrantes de aproximadamente 25 km2 cada uno. -
Species Richness, Species–Area Curves and Simpson's Paradox
Evolutionary Ecology Research, 2000, 2: 791–802 Species richness, species–area curves and Simpson’s paradox Samuel M. Scheiner,1* Stephen B. Cox,2 Michael Willig,2 Gary G. Mittelbach,3 Craig Osenberg4 and Michael Kaspari5 1Department of Life Sciences (2352), Arizona State University West, P.O. Box 37100, Phoenix, AZ 85069, 2Program in Ecology and Conservation Biology, Department of Biological Sciences and The Museum, Texas Tech University, Lubbock, TX 79409, 3W.K. Kellogg Biological Station, 3700 E. Gull Lake Drive, Michigan State University, Hickory Corners, MI 49060, 4Department of Zoology, University of Florida, Gainesville, FL 32611 and 5Department of Zoology, University of Oklahoma, Norman, OK 73019, USA ABSTRACT A key issue in ecology is how patterns of species diversity differ as a function of scale. The scaling function is the species–area curve. The form of the species–area curve results from patterns of environmental heterogeneity and species dispersal, and may be system-specific. A central concern is how, for a given set of species, the species–area curve varies with respect to a third variable, such as latitude or productivity. Critical is whether the relationship is scale-invariant (i.e. the species–area curves for different levels of the third variable are parallel), rank-invariant (i.e. the curves are non-parallel, but non-crossing within the scales of interest) or neither, in which case the qualitative relationship is scale-dependent. This recognition is critical for the development and testing of theories explaining patterns of species richness because different theories have mechanistic bases at different scales of action. -
Loss of Microsatellite Diversity and Low Effective Population Size in an Overexploited Population of New Zealand Snapper (Pagrus Auratus)
Loss of microsatellite diversity and low effective population size in an overexploited population of New Zealand snapper (Pagrus auratus) Lorenz Hauser*†, Greg J. Adcock*‡, Peter J. Smith§, Julio H. Bernal Ramı´rez*¶, and Gary R. Carvalho* *Molecular Ecology and Fisheries Genetics Laboratory, Department of Biological Sciences, University of Hull, Hull HU6 7RX, United Kingdom; and §National Institute of Water and Atmospheric Research, P.O. Box 14901, Wellington, New Zealand Edited by John C. Avise, University of Georgia, Athens, GA, and approved June 27, 2002 (received for review April 23, 2002) Although the effects of overfishing on species diversity and abun- ered being in danger of losing genetic diversity (8), and so there dance are well documented, threats to the genetic diversity of appears to be little cause for concern from a genetic perspective. marine fish populations have so far been largely neglected. Indeed, On the other hand, the number of fish in a population (census there seems to be little cause for concern, as even ‘‘collapsed’’ population size, N) is often much larger than the genetically stocks usually consist of several million individuals, whereas pop- effective population size (Ne), which determines the genetic ulation genetics theory suggests that only very small populations properties of a population (12). The long-term evolutionary Ne suffer significant loss of genetic diversity. On the other hand, in is often orders of magnitude smaller than current population many marine species the genetically effective population size (Ne), sizes, probably because of historic population bottlenecks, ‘‘se- which determines the genetic properties of a population, may be lective sweeps,’’ or colonization histories (13). -
European Gradients of Resilience in the Face of Climate Extremes
EUROPEAN GRADIENTS OF RESILIENCE IN THE FACE OF CLIMATE EXTREMES POLICY BRIEF Field site in Belgium with rainout shelters deployed in 2013 ©Sigi Berwaers This policy brief is based on the results Extreme weather events and the presence of invasive species can act as of the BiodivERsA-funded project pressures threatening biodiversity, resilience and ecosystem services of semi- ‘SIGNAL’ addressing the interaction of three major research areas, combined natural grasslands and drive them beyond thresholds of system integrity in ecology for the first time: biodiversity (tipping points and regime shifts). On the other hand, biodiversity itself may experiments, climate change research, and invasion research. The project made use buffer ecosystem functioning and services against change. Potential stabilising of coordinated experiments in different mechanisms include species richness, presence of key species such as legumes climates across Europe, thereby increasing and within-species diversity. These potential buffers can be promoted by the scope and relevance of the results. conservation management and policy adjustments. K EY POLICY RECOMMENDATIONS • Local biodiversity should be actively stimulated or preserved across European grasslands in order to increase the stability of ecosystem service provisioning, which is especially relevant as climate extremes are expected to become more frequent and intense. • Adjustment of mowing frequency and cutting height can help maintain or increase biodiversity. • More explicit consideration of within-species diversity is warranted, as this component of biodiversity can contribute to stabilising ecosystem functioning in the face of climate extremes. • Ecosystem responses to climate extremes of similar magnitude can vary significantly between climates and regions, suggesting that targeted policy requires tailor-made impact predictions. -
Ecological Principles and Function of Natural Ecosystems by Professor Michel RICARD
Intensive Programme on Education for sustainable development in Protected Areas Amfissa, Greece, July 2014 ------------------------------------------------------------------------ Ecological principles and function of natural ecosystems By Professor Michel RICARD Summary 1. Hierarchy of living world 2. What is Ecology 3. The Biosphere - Lithosphere - Hydrosphere - Atmosphere 4. What is an ecosystem - Ecozone - Biome - Ecosystem - Ecological community - Habitat/biotope - Ecotone - Niche 5. Biological classification 6. Ecosystem processes - Radiation: heat, temperature and light - Primary production - Secondary production - Food web and trophic levels - Trophic cascade and ecology flow 7. Population ecology and population dynamics 8. Disturbance and resilience - Human impacts on resilience 9. Nutrient cycle, decomposition and mineralization - Nutrient cycle - Decomposition 10. Ecological amplitude 11. Ecology, environmental influences, biological interactions 12. Biodiversity 13. Environmental degradation - Water resources degradation - Climate change - Nutrient pollution - Eutrophication - Other examples of environmental degradation M. Ricard: Summer courses, Amfissa July 2014 1 1. Hierarchy of living world The larger objective of ecology is to understand the nature of environmental influences on individual organisms, populations, communities and ultimately at the level of the biosphere. If ecologists can achieve an understanding of these relationships, they will be well placed to contribute to the development of systems by which humans -
An Introduction to Coastal and Marine Biodiversity and Ecosystem Services
Ministry of Environment, Forest and Climate Change, Government of India Curriculum on Coastal and Marine Biodiversity and Protected Area Management Module 1 An Introduction to Coastal and Marine Biodiversity and Ecosystem Services For Field-Level MPA Managers Imprint Training Resource Material: Coastal and Marine Biodiversity and Protected Area Management for Field-Level MPA Managers Module 1: An Introduction to Coastal and Marine Biodiversity and Ecosystem Services Module 2: Coastal and Marine Biodiversity and Ecosystems Services in the Overall Environment and Development Context Module 3: Mainstreaming Coastal and Marine Biodiversity into Overall Development and Environmental Planning Module 4: Coastal and Marine Protected Areas and Sustainable Fisheries Management Module 5: Governance, Law and Policies for Managing Coastal and Marine Ecosystems, Biodiversity and Protected Areas Module 6: Assessment and Monitoring of Coastal and Marine Biodiversity and Relevant Issues Module 7: Effective Management Planning of Coastal and Marine Protected Areas Module 8: Communicating Coastal and Marine Biodiversity Conservation and Management Issues ISBN 978-81-933282-1-7 October 2015 Published by: Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) GmbH Wildlife Institute of India (WII) Indo-German Biodiversity Programme P.O. Box 18, Chandrabani A-2/18, Safdarjung Enclave Dehradun 248001 New Delhi 110029, India Uttarakhand, India T +91-11-4949 5353 T +91-135-2640 910 E [email protected] E [email protected] W http://www.indo-germanbiodiversity.com W www.wii.gov.in GIZ is a German government-owned not-for-profit enterprise supporting sustainable development. This training resource material has been developed under the Human Capacity Development component of the project ‘Conservation and Sustainable Management of Existing and Potential Coastal and Marine Protected Areas (CMPA)’, under the Indo-German Biodiversity Programme, in partnership with the Ministry of Environment, Forest and Climate Change (MoEFCC), Government of India. -
Use of Alpha, Beta, and Gamma Diversity Measures to Characterize Seed Dispersal by Animals
The University of Chicago 8VHRI$OSKD%HWDDQG*DPPD'LYHUVLW\0HDVXUHVWR&KDUDFWHUL]H6HHG'LVSHUVDOE\$QLPDOV $XWKRU V 'RXJODV*6FRILHOG3HWHU(6PRXVH-RUGDQ.DUXELDQDQG9LFWRULD/6RUN 6RXUFH7KH$PHULFDQ1DWXUDOLVW9RO1R 'HFHPEHU SS 3XEOLVKHGE\The University of Chicago PressIRUThe American Society of Naturalists 6WDEOH85/http://www.jstor.org/stable/10.1086/668202 . $FFHVVHG Your use of the JSTOR archive indicates your acceptance of the Terms & Conditions of Use, available at . http://www.jstor.org/page/info/about/policies/terms.jsp . JSTOR is a not-for-profit service that helps scholars, researchers, and students discover, use, and build upon a wide range of content in a trusted digital archive. We use information technology and tools to increase productivity and facilitate new forms of scholarship. For more information about JSTOR, please contact [email protected]. The University of Chicago Press, The American Society of Naturalists, The University of Chicago are collaborating with JSTOR to digitize, preserve and extend access to The American Naturalist. http://www.jstor.org This content downloaded from 128.97.244.148 on Mon, 5 Aug 2013 10:15:52 AM All use subject to JSTOR Terms and Conditions vol. 180, no. 6 the american naturalist december 2012 Use of Alpha, Beta, and Gamma Diversity Measures to Characterize Seed Dispersal by Animals Douglas G. Scofield,1,2 Peter E. Smouse,3 Jordan Karubian,4 and Victoria L. Sork1,5,* 1. Department of Ecology and Evolutionary Biology, University of California, Los Angeles, California 90095; 2. Umea˚ Plant Science Centre, Department of Plant Physiology, Umea˚ University, 901 87 Umea˚, Sweden; 3. Department of Ecology, Evolution, and Natural Resources, School of Environmental and Biological Sciences, Rutgers University, New Brunswick, New Jersey 08901; 4. -
"Species Richness: Small Scale". In: Encyclopedia of Life Sciences (ELS)
Species Richness: Small Advanced article Scale Article Contents . Introduction Rebecca L Brown, Eastern Washington University, Cheney, Washington, USA . Factors that Affect Species Richness . Factors Affected by Species Richness Lee Anne Jacobs, University of North Carolina, Chapel Hill, North Carolina, USA . Conclusion Robert K Peet, University of North Carolina, Chapel Hill, North Carolina, USA doi: 10.1002/9780470015902.a0020488 Species richness, defined as the number of species per unit area, is perhaps the simplest measure of biodiversity. Understanding the factors that affect and are affected by small- scale species richness is fundamental to community ecology. Introduction diversity indices of Simpson and Shannon incorporate species abundances in addition to species richness and are The ability to measure biodiversity is critically important, intended to reflect the likelihood that two individuals taken given the soaring rates of species extinction and human at random are of the same species. However, they tend to alteration of natural habitats. Perhaps the simplest and de-emphasize uncommon species. most frequently used measure of biological diversity is Species richness measures are typically separated into species richness, the number of species per unit area. A vast measures of a, b and g diversity (Whittaker, 1972). a Di- amount of ecological research has been undertaken using versity (also referred to as local or site diversity) is nearly species richness as a measure to understand what affects, synonymous with small-scale species richness; it is meas- and what is affected by, biodiversity. At the small scale, ured at the local scale and consists of a count of species species richness is generally used as a measure of diversity within a relatively homogeneous area. -
Scale Dependence of the Beta Diversity-Scale Relationship
COMMUNITY ECOLOGY 16(1): 39-47, 2015 1585-8553/$ © AKADÉMIAI KIADÓ, BUDAPEST DOI: 10.1556/168.2015.16.1.5 Scale dependence of the beta diversity-scale relationship 1 1,4P 2 3 1 Y. ZhangP , K. MaP , M. AnandP , W. Ye and B. FuP 1 State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China 2 Global Ecological Change Laboratory, School of Environmental Sciences, University of Guelph, Guelph, Ontario, N1G 2W1, Canada 3 Key Laboratory of Vegetation Restoration and Management of Degraded Ecosystems, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, 510650, China 4 Corresponding author. Tel/Fax: 86-10-62849104, Email: [email protected] Keywords: Alpha diversity, Diversity partitioning, Gamma diversity, Power law, Scaling. Abstract: Alpha, beta, and gamma diversity are three fundamental biodiversity components in ecology, but most studies focus only on the scale issues of the alpha or gamma diversity component. The beta diversity component, which incorporates both alpha and gamma diversity components, is ideal for studying scale issues of diversity. We explore the scale dependency of beta diversity and scale relationship, both theoretically as well as by application to actual data sets. Our results showed that a power law exists for beta diversity-area (spatial grain or spatial extent) relationships, and that the parameters of the power law are dependent on the grain and extent for which the data are defined. Coarse grain size generates a steeper slope (scaling exponent z) with lower values of intercept (c), while a larger extent results in a reverse trend in both parameters. -
Diversity Partitioning in Phanerozoic Benthic Marine Communities
Diversity partitioning in Phanerozoic benthic marine communities Richard Hofmanna,1, Melanie Tietjea, and Martin Aberhana aMuseum für Naturkunde Berlin, Leibniz Institute for Evolution and Biodiversity Science, 10115 Berlin, Germany Edited by Peter J. Wagner, University of Nebraska-Lincoln, Lincoln, NE, and accepted by Editorial Board Member Neil H. Shubin November 19, 2018 (received for review August 24, 2018) Biotic interactions such as competition, predation, and niche construc- formations harbor a pool of species that were principally able to tion are fundamental drivers of biodiversity at the local scale, yet their interact at the local and regional scale and thus can be regarded as long-term effect during earth history remains controversial. To test their the constituents of metacommunities in the geological record. role and explore potential limits to biodiversity, we determine within- Beta diversity among collections from the same formation is habitat (alpha), between-habitat (beta), and overall (gamma) diversity expected for two reasons, even though many benthic marine in- of benthic marine invertebrates for Phanerozoic geological formations. vertebrates have planktonic larval stages and thus high dispersal We show that an increase in gamma diversity is consistently generated capabilities. First, the distribution of species within a meta- by an increase in alpha diversity throughout the Phanerozoic. Beta community is predicted to be patchy (17). Even if the habitats diversity drives gamma diversity only at early stages of diversifica- represented by a formation were homogeneous, local differences tion but remains stationary once a certain gamma level is reached. This mode is prevalent during early- to mid-Paleozoic periods, in species distributions would result in compositional differences whereas coupling of beta and gamma diversity becomes increas- among sites.