Principles of Ecology
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Body Size and Biomass Distributions of Carrion Visiting Beetles: Do Cities Host Smaller Species?
Ecol Res (2008) 23: 241–248 DOI 10.1007/s11284-007-0369-9 ORIGINAL ARTICLE Werner Ulrich Æ Karol Komosin´ski Æ Marcin Zalewski Body size and biomass distributions of carrion visiting beetles: do cities host smaller species? Received: 15 November 2006 / Accepted: 14 February 2007 / Published online: 28 March 2007 Ó The Ecological Society of Japan 2007 Abstract The question how animal body size changes Introduction along urban–rural gradients has received much attention from carabidologists, who noticed that cities harbour Animal and plant body size is correlated with many smaller species than natural sites. For Carabidae this aspects of life history traits and species interactions pattern is frequently connected with increasing distur- (dispersal, reproduction, energy intake, competition; bance regimes towards cities, which favour smaller Brown et al. 2004; Brose et al. 2006). Therefore, species winged species of higher dispersal ability. However, body size distributions (here understood as the fre- whether changes in body size distributions can be gen- quency distribution of log body size classes, SSDs) are eralised and whether common patterns exist are largely often used to infer patterns of species assembly and unknown. Here we report on body size distributions of energy use (Peters 1983; Calder 1984; Holling 1992; carcass-visiting beetles along an urban–rural gradient in Gotelli and Graves 1996; Etienne and Olff 2004; Ulrich northern Poland. Based on samplings of 58 necrophages 2005a, 2006). and 43 predatory beetle species, mainly of the families Many of the studies on local SSDs focused on the Catopidae, Silphidae, and Staphylinidae, we found number of modes and the shape. -
Population Ecology: Theory, Methods, Lenses Dr. Bill Fagan
Population ecology: Theory, methods, lenses Dr. Bill Fagan Population Ecology & Spatial Ecology A) Core principles of population growth B) Spatial problems and methods for modeling them C) Integrodifference equations as a robust platform Population Ecology & Spatial Ecology A) Core principles of population growth B) Spatial problems and methods for modeling them C) Integrodifference equations as a robust platform Socio – Environmental Issues: 1. Fisheries 2. Invasive Species 3. Biological Control 4. Ecological Footprints 5. Critical Patch Size / Reserve Design A) Core principles of population growth Berryman: On principles, laws, and theory in population ecology. Oikos. 2003 1) Exponential population growth as a null baseline. What causes deviations from that ? The Basics of Discrete Time Models Have Form Nt1 f Nt , Nt1, Nt2 ,... where N is the thing you are measuring and t is an index representing blocks of time. Constant time step = 1 unit (year, month, day, second) Time is discrete, #’s need not be In many cases Nt1 f Nt Reduced Form Status next time step depends only on where system is now. history is unimportant Alternatively: N t 1 f N t , N t 1 , N t 2 ... history is important wide applicability 1) Many ecological phenomenon change discretely - insects don’t hatch out all day long, only in morning - rodents are less mobile near full moon - seeds germinate in spring daily censuses 2) Data were collected at discrete times yearly censuses The Simplest Discrete Time Model N t1 N t “Geometric” Growth Equation N Thing we -
Trophic Levels
Trophic Levels Douglas Wilkin, Ph.D. Jean Brainard, Ph.D. Say Thanks to the Authors Click http://www.ck12.org/saythanks (No sign in required) AUTHORS Douglas Wilkin, Ph.D. To access a customizable version of this book, as well as other Jean Brainard, Ph.D. interactive content, visit www.ck12.org CK-12 Foundation is a non-profit organization with a mission to reduce the cost of textbook materials for the K-12 market both in the U.S. and worldwide. Using an open-content, web-based collaborative model termed the FlexBook®, CK-12 intends to pioneer the generation and distribution of high-quality educational content that will serve both as core text as well as provide an adaptive environment for learning, powered through the FlexBook Platform®. Copyright © 2015 CK-12 Foundation, www.ck12.org The names “CK-12” and “CK12” and associated logos and the terms “FlexBook®” and “FlexBook Platform®” (collectively “CK-12 Marks”) are trademarks and service marks of CK-12 Foundation and are protected by federal, state, and international laws. Any form of reproduction of this book in any format or medium, in whole or in sections must include the referral attribution link http://www.ck12.org/saythanks (placed in a visible location) in addition to the following terms. Except as otherwise noted, all CK-12 Content (including CK-12 Curriculum Material) is made available to Users in accordance with the Creative Commons Attribution-Non-Commercial 3.0 Unported (CC BY-NC 3.0) License (http://creativecommons.org/ licenses/by-nc/3.0/), as amended and updated by Creative Com- mons from time to time (the “CC License”), which is incorporated herein by this reference. -
Fisheries in Large Marine Ecosystems: Descriptions and Diagnoses
Fisheries in Large Marine Ecosystems: Descriptions and Diagnoses D. Pauly, J. Alder, S. Booth, W.W.L. Cheung, V. Christensen, C. Close, U.R. Sumaila, W. Swartz, A. Tavakolie, R. Watson, L. Wood and D. Zeller Abstract We present a rationale for the description and diagnosis of fisheries at the level of Large Marine Ecosystems (LMEs), which is relatively new, and encompasses a series of concepts and indicators different from those typically used to describe fisheries at the stock level. We then document how catch data, which are usually available on a smaller scale, are mapped by the Sea Around Us Project (see www.seaaroundus.org) on a worldwide grid of half-degree lat.-long. cells. The time series of catches thus obtained for over 180,000 half-degree cells can be regrouped on any larger scale, here that of LMEs. This yields catch time series by species (groups) and LME, which began in 1950 when the FAO started collecting global fisheries statistics, and ends in 2004 with the last update of these datasets. The catch data by species, multiplied by ex-vessel price data and then summed, yield the value of the fishery for each LME, here presented as time series by higher (i.e., commercial) groups. Also, these catch data can be used to evaluate the primary production required (PPR) to sustain fisheries catches. PPR, when related to observed primary production, provides another index for assessing the impact of the countries fishing in LMEs. The mean trophic level of species caught by fisheries (or ‘Marine Trophic Index’) is also used, in conjunction with a related indicator, the Fishing-in-Balance Index (FiB), to assess changes in the species composition of the fisheries in LMEs. -
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 -
Concept of Population Ecology
Mini Review Int J Environ Sci Nat Res Volume 12 Issue 1 - June 2018 Copyright © All rights are reserved by Nida Tabassum Khan DOI: 10.19080/IJESNR.2018.12.555828 Concept of Population Ecology Nida Tabassum Khan* Department of Biotechnology, Faculty of Life Sciences and Informatics, Balochistan University of Information Technology Engineering and Management Sciences, Pakistan Submission: May 29, 2018; Published: June 06, 2018 *Corresponding author: Nida Tabassum Khan, Department of Biotechnology, Balochistan University, Quetta, Pakistan, Tel: ; Email: Abstract Population ecology deals with the study of the structure and subtleties of a population which comprises of a group of interacting organisms of the same specie that occupies a given area. The demographic structure of a population is a key factor which is characterized by the number of is growing, shrinking or remain constant in terms of its size. individual members (population size) present at each developmental stage of their cycle to identify whether the population of a specific specie Keywords: Population size; Population density; Gene pool; Life tables Introduction of random genetic drift therefore variation is easily sustained Population ecology deals with the study of the structure in large populations than in smaller ones [10]. Natural selection and subtleties of a population which comprises of a group of selects the most favorable phenotypes suited for an organism interacting organisms of the same specie that occupies a given survival thereby reducing variation within populations [11]. area [1]. Populations can be characterized as local which is a Population structure determines the arrays of demographic group of less number of individuals occupying a small area or variation such as mode of reproduction, age, reproduction met which is a group of local populations linked by disbanding frequency, offspring counts, gender ratio of newborns etc within/ members [2]. -
BIO 313 ANIMAL ECOLOGY Corrected
NATIONAL OPEN UNIVERSITY OF NIGERIA SCHOOL OF SCIENCE AND TECHNOLOGY COURSE CODE: BIO 314 COURSE TITLE: ANIMAL ECOLOGY 1 BIO 314: ANIMAL ECOLOGY Team Writers: Dr O.A. Olajuyigbe Department of Biology Adeyemi Colledge of Education, P.M.B. 520, Ondo, Ondo State Nigeria. Miss F.C. Olakolu Nigerian Institute for Oceanography and Marine Research, No 3 Wilmot Point Road, Bar-beach Bus-stop, Victoria Island, Lagos, Nigeria. Mrs H.O. Omogoriola Nigerian Institute for Oceanography and Marine Research, No 3 Wilmot Point Road, Bar-beach Bus-stop, Victoria Island, Lagos, Nigeria. EDITOR: Mrs Ajetomobi School of Agricultural Sciences Lagos State Polytechnic Ikorodu, Lagos 2 BIO 313 COURSE GUIDE Introduction Animal Ecology (313) is a first semester course. It is a two credit unit elective course which all students offering Bachelor of Science (BSc) in Biology can take. Animal ecology is an important area of study for scientists. It is the study of animals and how they related to each other as well as their environment. It can also be defined as the scientific study of interactions that determine the distribution and abundance of organisms. Since this is a course in animal ecology, we will focus on animals, which we will define fairly generally as organisms that can move around during some stages of their life and that must feed on other organisms or their products. There are various forms of animal ecology. This includes: • Behavioral ecology, the study of the behavior of the animals with relation to their environment and others • Population ecology, the study of the effects on the population of these animals • Marine ecology is the scientific study of marine-life habitat, populations, and interactions among organisms and the surrounding environment including their abiotic (non-living physical and chemical factors that affect the ability of organisms to survive and reproduce) and biotic factors (living things or the materials that directly or indirectly affect an organism in its environment). -
Artificial Ecological Pyramid Model and Its Application in Autonomous Robot Strategy System
http://www.paper.edu.cn Artificial Ecological Pyramid Model and Its Application in Autonomous Robot Strategy System Xue Fangzheng, Fang Shuai, Xu Xinhe School of Information Science &Engineering Northeastern University Shenyang, PRC [email protected] Abstract—The Artificial ecological pyramid model is because its discovery is enlightened by ecological pyramid proposed to solve complex problems, which is a layered theory in biology. The most difference between AEPM and evolutionary multi-agent system model. The model has three traditional evolutionary and hybrid evolutionary methods is layers. The lowest layer is composed of “stimulation- that the AEPM considers the hierarchy of intelligence. response” agents called base agents. The second layer is Large numbers of agents with different intelligent level composed of combined agents that are combinations of base collect together to form an agent pyramid like an ecological agents. The top layer is composed of advanced agents that pyramid. The elements of traditional evolutionary methods have reasoning capabilities. Agents in all layers must be up are genes that indicate some information. These genes have against the test of environment. Agents on the lowest layer the simplest intelligence, which are on the lowest layer of can only improve their fitness evaluations by evolutional methods, and agents on upper layers can also improve their the pyramid, so traditional evolutionary method can not fitness evaluations by “eating” agents on lower layers. We have advanced intelligence. The evolutionary neural also construct a strategy system based on artificial ecological network system is equal to an intelligent system composed pyramid model to solve the problem of rivalry between of a neural network agent that has some advance autonomous robots. -
Plants Are Producers! Draw the Different Producers Below
Name: ______________________________ The Unique Producer Every food chain begins with a producer. Plants are producers. They make their own food, which creates energy for them to grow, reproduce and survive. Being able to make their own food makes them unique; they are the only living things on Earth that can make their own source of food energy. Of course, they require sun, water and air to thrive. Given these three essential ingredients, you will have a healthy plant to begin the food chain. All plants are producers! Draw the different producers below. Apple Tree Rose Bushes Watermelon Grasses Plant Blueberry Flower Fern Daisy Bush List the three essential needs that every producer must have in order to live. © 2009 by Heather Motley Name: ______________________________ Producers can make their own food and energy, but consumers are different. Living things that have to hunt, gather and eat their food are called consumers. Consumers have to eat to gain energy or they will die. There are four types of consumers: omnivores, carnivores, herbivores and decomposers. Herbivores are living things that only eat plants to get the food and energy they need. Animals like whales, elephants, cows, pigs, rabbits, and horses are herbivores. Carnivores are living things that only eat meat. Animals like owls, tigers, sharks and cougars are carnivores. You would not catch a plant in these animals’ mouths. Then, we have the omnivores. Omnivores will eat both plants and animals to get energy. Whichever food source is abundant or available is what they will eat. Animals like the brown bear, dogs, turtles, raccoons and even some people are omnivores. -
Can More K-Selected Species Be Better Invaders?
Diversity and Distributions, (Diversity Distrib.) (2007) 13, 535–543 Blackwell Publishing Ltd BIODIVERSITY Can more K-selected species be better RESEARCH invaders? A case study of fruit flies in La Réunion Pierre-François Duyck1*, Patrice David2 and Serge Quilici1 1UMR 53 Ӷ Peuplements Végétaux et ABSTRACT Bio-agresseurs en Milieu Tropical ӷ CIRAD Invasive species are often said to be r-selected. However, invaders must sometimes Pôle de Protection des Plantes (3P), 7 chemin de l’IRAT, 97410 St Pierre, La Réunion, France, compete with related resident species. In this case invaders should present combina- 2UMR 5175, CNRS Centre d’Ecologie tions of life-history traits that give them higher competitive ability than residents, Fonctionnelle et Evolutive (CEFE), 1919 route de even at the expense of lower colonization ability. We test this prediction by compar- Mende, 34293 Montpellier Cedex, France ing life-history traits among four fruit fly species, one endemic and three successive invaders, in La Réunion Island. Recent invaders tend to produce fewer, but larger, juveniles, delay the onset but increase the duration of reproduction, survive longer, and senesce more slowly than earlier ones. These traits are associated with higher ranks in a competitive hierarchy established in a previous study. However, the endemic species, now nearly extinct in the island, is inferior to the other three with respect to both competition and colonization traits, violating the trade-off assumption. Our results overall suggest that the key traits for invasion in this system were those that *Correspondence: Pierre-François Duyck, favoured competition rather than colonization. CIRAD 3P, 7, chemin de l’IRAT, 97410, Keywords St Pierre, La Réunion Island, France. -
Community-Based Population Recovery of Overexploited Amazonian Wildlife
G Model PECON-41; No. of Pages 5 ARTICLE IN PRESS Perspectives in Ecology and Conservation xxx (2017) xxx–xxx ´ Supported by Boticario Group Foundation for Nature Protection www.perspectecolconserv.com Policy Forums Community-based population recovery of overexploited Amazonian wildlife a,∗ b c d e João Vitor Campos-Silva , Carlos A. Peres , André P. Antunes , João Valsecchi , Juarez Pezzuti a Institute of Biological and Health Sciences, Federal University of Alagoas, Av. Lourival Melo Mota, s/n, Tabuleiro do Martins, Maceió 57072-900, AL, Brazil b Centre for Ecology, Evolution and Conservation, School of Environmental Sciences, University of East Anglia, Norwich Research Park, Norwich NR47TJ, UK c Wildlife Conservation Society Brasil, Federal University of Amazonas, Av. Rodrigo Otavio, 3000, Manaus 69077-000, Amazonas, Brazil d Mamiraua Sustainable Development Institute (IDSM), Estrada da Bexiga 2584, Fonte Boa, Tefé, AM, Brazil e Centre for Advanced Amazon Studies, Federal University of Para, R. Augusto Correa 01, CEP 66075-110, Belém, PA, Brazil a b s t r a c t a r t i c l e i n f o Article history: The Amazon Basin experienced a pervasive process of resource overexploitation during the 20th-century, Received 3 June 2017 which induced severe population declines of many iconic vertebrate species. In addition to biodiversity Accepted 18 August 2017 loss and the ecological consequences of defaunation, food security of local communities was relentlessly threatened because wild meat had a historically pivotal role in protein acquisition by local dwellers. Keywords: Here we discuss the urgent need to regulate subsistence hunting by Amazonian semi-subsistence local Hunting regulation communities, which are far removed from the market and information economy. -
Carrying Capacity
CarryingCapacity_Sayre.indd Page 54 12/22/11 7:31 PM user-f494 /203/BER00002/Enc82404_disk1of1/933782404/Enc82404_pagefiles Carrying Capacity Carrying capacity has been used to assess the limits of into a single defi nition probably would be “the maximum a wide variety of things, environments, and systems to or optimal amount of a substance or organism (X ) that convey or sustain other things, organisms, or popula- can or should be conveyed or supported by some encom- tions. Four major types of carrying capacity can be dis- passing thing or environment (Y ).” But the extraordinary tinguished; all but one have proved empirically and breadth of the concept so defi ned renders it extremely theoretically fl awed because the embedded assump- vague. As the repetitive use of the word or suggests, car- tions of carrying capacity limit its usefulness to rying capacity can be applied to almost any relationship, bounded, relatively small-scale systems with high at almost any scale; it can be a maximum or an optimum, degrees of human control. a normative or a positive concept, inductively or deduc- tively derived. Better, then, to examine its historical ori- gins and various uses, which can be organized into four he concept of carrying capacity predates and in many principal types: (1) shipping and engineering, beginning T ways prefi gures the concept of sustainability. It has in the 1840s; (2) livestock and game management, begin- been used in a wide variety of disciplines and applica- ning in the 1870s; (3) population biology, beginning in tions, although it is now most strongly associated with the 1950s; and (4) debates about human population and issues of global human population.