Ecology of Populations and Communities- Vladimir N
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Population, Consumption & the Environment
12/11/2009 Population, Consumption & the Environment Alex de Sherbinin Center for International Earth Science Information Network (CIESIN), the Earth Institute at Columbia University Population-Environment Research Network 2 1 12/11/2009 Why is this important? • Global GDP is 20 times higher today than it was in 1900, having grown at a rate of 2.7% per annum (population grew at the rate of 13%1.3% p.a.) • CO2 emissions have grown at an annual rate of 3.5% since 1900, reaching 100 million metric tons of carbon in 2001 • The ecological footprint, a composite measure of consumption measured in hectares of biologically productive land, grew from 4.5 to 14.1 billion hectares between 1961 and 2003, and it is now 25% more than Earth’s “biocapacity ” • For CO2 emissions and footprints, the per capita impacts of high‐income countries are currently 6 to 10 times higher than those in low‐income countries 3 Outline 1. What kind of consumption is bad for the environment? 2. How are population dynamics and consumption linked? 3. Who is responsible for environmentally damaging consumption? 4. What contributions can demographers make to the understanding of consumption? 5. Conclusion: The challenge of “sustainable consumption” 4 2 12/11/2009 What kind of consumption is bad for the environment? SECTION 2 5 What kind of consumption is bad? “[Consumption is] human transformations of materials and energy. [It] is environmentally important to the extent that it makes materials or energy less available for future use, and … through its effects on biophysical systems, threatens hhlthlfththill”human health, welfare, or other things people value.” - Stern, 1997 • Early focus on “wasteful consumption”, conspicuous consumption, etc. -
Biogeography, Community Structure and Biological Habitat Types of Subtidal Reefs on the South Island West Coast, New Zealand
Biogeography, community structure and biological habitat types of subtidal reefs on the South Island West Coast, New Zealand SCIENCE FOR CONSERVATION 281 Biogeography, community structure and biological habitat types of subtidal reefs on the South Island West Coast, New Zealand Nick T. Shears SCIENCE FOR CONSERVATION 281 Published by Science & Technical Publishing Department of Conservation PO Box 10420, The Terrace Wellington 6143, New Zealand Cover: Shallow mixed turfing algal assemblage near Moeraki River, South Westland (2 m depth). Dominant species include Plocamium spp. (yellow-red), Echinothamnium sp. (dark brown), Lophurella hookeriana (green), and Glossophora kunthii (top right). Photo: N.T. Shears Science for Conservation is a scientific monograph series presenting research funded by New Zealand Department of Conservation (DOC). Manuscripts are internally and externally peer-reviewed; resulting publications are considered part of the formal international scientific literature. Individual copies are printed, and are also available from the departmental website in pdf form. Titles are listed in our catalogue on the website, refer www.doc.govt.nz under Publications, then Science & technical. © Copyright December 2007, New Zealand Department of Conservation ISSN 1173–2946 (hardcopy) ISSN 1177–9241 (web PDF) ISBN 978–0–478–14354–6 (hardcopy) ISBN 978–0–478–14355–3 (web PDF) This report was prepared for publication by Science & Technical Publishing; editing and layout by Lynette Clelland. Publication was approved by the Chief Scientist (Research, Development & Improvement Division), Department of Conservation, Wellington, New Zealand. In the interest of forest conservation, we support paperless electronic publishing. When printing, recycled paper is used wherever possible. CONTENTS Abstract 5 1. Introduction 6 2. -
Designing Biological Systems
Downloaded from genesdev.cshlp.org on October 4, 2021 - Published by Cold Spring Harbor Laboratory Press REVIEW Designing biological systems David A. Drubin,1 Jeffrey C. Way,2 and Pamela A. Silver1,3 1Department of Systems Biology, Harvard Medical School, Boston, Massachusetts 02115, USA; 2EMD Lexigen Research Center, Billerica, Massachusetts 01821, USA The design of artificial biological systems and the under- chemical systems that mimic living systems, especially standing of their natural counterparts are key objectives in regard to replication and Darwinian selection. This of the emerging discipline of synthetic biology. Toward review will primarily focus on accomplishments of the both ends, research in synthetic biology has primarily first strategy; however, readers are referred to several fine focused on the construction of simple devices, such as reviews on the generation of artificial, life-emulating transcription-based oscillators and switches. Construc- systems (Szostak et al. 2001; Benner 2003; Benner and tion of such devices should provide us with insight on Sismour 2005). the design of natural systems, indicating whether our According to the synthetic biology paradigm, a syn- understanding is complete or whether there are still gaps thetically programmed cell should be composed of many in our knowledge. Construction of simple biological sys- subsystems that operate successfully as a result of ex- tems may also lay the groundwork for the construction tensive characterization and educated design. System of more complex systems that have practical utility. To construction is the product of iterative cycles of com- realize its full potential, biological systems design bor- puter modeling, biological assembly, and testing. In this rows from the allied fields of protein design and meta- way, much from the field of systems biology can be ap- bolic engineering. -
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 -
Genetic Methods for Estimating the Effective Size of Cetacean Populations
Genetic Methods for Estimating the Effective Size of Cetacean Populations Robin S. Waples Northwest Fisheries Center, National Marine Fisheries Service, 2725 Montlake Boulevard East, Seattle, Washington 98112, USA ABSTRACT Some indirect (genetic) methods for estimating effective population size (N,) are evaluated for their suitability in studyingcetacean populations. The methodscan be grouped into those that (1) estimate current N,, (2) estimate long-term N, and (3) provide information about recent genetic bottlenecks. The methods that estimate current effective size are best suited for the analysis of small populations. and nonrandom sampling and population subdivision are probably the most serious sources of potential bias. Methods that estimate long-term N, are best suited to the analysis of large populations or entire species, may be more strongly influenced by natural selection and depend on accurate estimates of mutation or DNA base substitution rates. Precision of the estimates of N, is likely to be a limiting factor in many applications of the indirect methods. Keywords: genetics; assessment: cetaceans - general: evolution. INTRODUCTION Population size is one of the most important factors that determine the rate of various evolutionary processes, and it appears as a parameter in many of the fundamental equations of population genetics. However, knowledge merely of the total number of individuals (N) in a population is not sufficient for an accurate description of these evolutionary processes. Because of the influence of demographic parameters, two populations of the same total size may experience very different rates of genetic change. Wright (1931; 1938) developed the concept of effective population size (N,) as a way of summarising relevant demographic information so that one can predict the evolutionary consequences of finite population size (see Fig. -
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]. -
Community Ecology
Schueller 509: Lecture 12 Community ecology 1. The birds of Guam – e.g. of community interactions 2. What is a community? 3. What can we measure about whole communities? An ecology mystery story If birds on Guam are declining due to… • hunting, then bird populations will be larger on military land where hunting is strictly prohibited. • habitat loss, then the amount of land cleared should be negatively correlated with bird numbers. • competition with introduced black drongo birds, then….prediction? • ……. come up with a different hypothesis and matching prediction! $3 million/yr Why not profitable hunting instead? (Worked for the passenger pigeon: “It was the demographic nightmare of overkill and impaired reproduction. If you’re killing a species far faster than they can reproduce, the end is a mathematical certainty.” http://www.audubon.org/magazine/may-june- 2014/why-passenger-pigeon-went-extinct) Community-wide effects of loss of birds Schueller 509: Lecture 12 Community ecology 1. The birds of Guam – e.g. of community interactions 2. What is a community? 3. What can we measure about whole communities? What is an ecological community? Community Ecology • Collection of populations of different species that occupy a given area. What is a community? e.g. Microbial community of one human “YOUR SKIN HARBORS whole swarming civilizations. Your lips are a zoo teeming with well- fed creatures. In your mouth lives a microbiome so dense —that if you decided to name one organism every second (You’re Barbara, You’re Bob, You’re Brenda), you’d likely need fifty lifetimes to name them all. -
Chapter 15 Biogeography and Dispersal
Chapter 15 Biogeography and dispersal Rob Hengeveld and Lia Hemerik Introduction This chapter evaluates the role of dispersal in biogeographical processes and their re- sulting patterns. We consider dispersal as a local process, which comprises the com- bined movements of individual organisms, but which can dominate processes even at the scale of continents. If this is correct, it is no longer possible to separate local ecological processes from those at broad, geographical scales. However, biogeo- graphical processes differ from those happening in one or a few localities; at the broader scales,there are additional processes occurring which are only evident when examined from this wider perspective. We integrate biogeography with ecology, explaining broad-scale effects, ranging from processes happening locally as the result of responses of individual organisms to perpetual changes in living conditions in heterogeneous space. The models to be used cannot be those traditional in population dynamics with a dispersal parameter plugged in, but must be spatially explicit. Only a broad-scale perspective of con- tinual redistribution of large groups of individuals or reproductive propagules can give dispersal its biological and biogeographical significance. Our general thesis in this chapter is that adaptation in non-uniform space enables individuals to cope effectively with environmental variation in time. In our analyses of spatially adaptive processes, we concentrate on principles rather than on details of specific phenomena, such as types of distance distribution. We therefore formulate these principles in terms of simple Poisson processes.In spe- cific cases, these distributions can be replaced by more complex ones which may fit better. -
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. -
The NEURONS and NEURAL SYSTEM: a 21St CENTURY PARADIGM
The NEURONS and NEURAL SYSTEM: a 21st CENTURY PARADIGM This material is excerpted from the full β-version of the text. The final printed version will be more concise due to further editing and economical constraints. A Table of Contents and an index are located at the end of this paper. A few citations have yet to be defined and are indicated by “xxx.” James T. Fulton Neural Concepts [email protected] July 19, 2015 Copyright 2011 James T. Fulton 2 Neurons & the Nervous System 4 The Architectures of Neural Systems1 [xxx review cogn computation paper and incorporate into this chapter ] [xxx expand section 4.4.4 as a key area of importance ] [xxx Text and semantics needs a lot of work ] Don’t believe everything you think. Anonymous bumper sticker You must not fool yourself, and you are the easiest person to fool Richard Feynman I am never content until I have constructed a model of what I am studying. If I succeed in making one, I understand; otherwise, I do not. William Thomson (Lord Kelvin) It is the models that tell us whether we understand a process and where the uncertainties remain. Bridgeman, 2000 4.1 Background [xxx chapter is a hodge-podge at this time 29 Aug 11 ] The animal kingdom shares a common neurological architecture that is ramified in a specific species in accordance with its station in the phylogenic tree and the ecological domain. This ramification includes not only replication of existing features but further augmentation of the system using new and/or modified features. -
The Device Approach to Emergent Properties
arXiv:1801.05452, Version 3 Asking Biological Questions of Physical Systems: the Device Approach to Emergent Properties Bob Eisenberg Department of Applied Mathematics Illinois Institute of Technology USA Department of Physiology and Biophysics Rush University USA [email protected] January 17, 2018 9/23/2021 9:14 AM Abstract Life occurs in concentrated ‘Ringer Solutions’ derived from seawater that Lesser Blum studied for most of his life. As we worked together, Lesser and I realized that the questions asked of those solutions were quite different in biology from those in the physical chemistry he knew. Biology is inherited. Information is passed by handfuls of atoms in the genetic code. A few atoms in the proteins built from the code change macroscopic function. Indeed, a few atoms often control biological function in the same sense that a gas pedal controls the speed of a car. Biological questions then are most productive when they are asked in the context of evolution. What function does a system perform? How is the system built to perform that function? What forces are used to perform that function? How are the modules that perform functions connected to make the machinery of life. Physiologists have shown that much of life is a nested hierarchy of devices, one on top of another, linking atomic ions in concentrated solutions to current flow through proteins, current flow to voltage signals, voltage signals to changes in current flow, all connected to make a regenerative system that allows electrical action potentials to move meters, under the control of a few atoms.