From Population Dynamics to Ecoinformatics: Ecosystems As Multilevel Information Processing Systems
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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. -
Colin M Beier
COLIN M BEIER Research Associate Department of Forest and Natural Resources Management Adirondack Ecological Center & Huntington Wildlife Forest SUNY College of Environmental Science and Forestry (ESF) 311 Bray Hall, 1 Forestry Drive, Syracuse NY 13210 voice: 315.470.6578 fax: 315.470.6535 [email protected] www.esf.edu/aec/beier EDUCATION Ph.D. Systems Ecology – University of Alaska-Fairbanks 2007 NSF-IGERT Resilience and Adaptation Program Department of Biology & Wildlife, Institute of Arctic Biology, USGS Alaska Cooperative Fish & Wildlife Research Unit Major professors: F. Stuart (Terry) Chapin, III and A. David McGuire Regional Climate, Federal Land Management, and the Social-Ecological Resilience of Southeastern Alaska M.Sc. Forest Ecology – Virginia Tech (VPI & SU) 2002 Department of Biology Major professor: Erik T. Nilsen Influence of Dense Understory Shrubs on the Ecology of Canopy Tree Recruitment in Southern Appalachian Forests B.Sc. Biology – Virginia Commonwealth University 1999 Minors in Psychology and Chemistry PROFESSIONAL APPOINTMENTS Curriculum Coordinator and Program Leader 2011 – present Graduate Program in Environmental Sciences - Coupled Natural and Human Systems Section Division of Environmental Science SUNY College of Environmental Science and Forestry Affiliate Fellow 2010 – present Gund Institute of Ecological Economics University of Vermont Research Associate (Tenure-Track) 2007 – present Adirondack Ecological Center Department of Forest and Natural Resources Management SUNY College of Environmental Science & Forestry Graduate Research Assistantship 2005-06 School of Natural Resources and Agricultural Sciences University of Alaska-Fairbanks National Science Foundation IGERT Fellow 2002-05 Resilience and Adaptation Program University of Alaska-Fairbanks Graduate Assistantship (Teaching & Research) 2000-02 Department of Biology Virginia Tech PUBLICATIONS Beier CM. -
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. -
A Review of Approach and Applications in Ecological Research
Review Article Proceedings of NIE 2020;1(1):9-21 https://doi.org/10.22920/PNIE.2020.1.1.9 pISSN 2733-7243, eISSN 2734-1372 Ecoinformatics: A Review of Approach and Applications in Ecological Research Chau Chin Lin* Society of Subtropical Ecology, Taipei, Taiwan ABSTRACT Ecological communities adapt the concept of informatics in the late 20 century and develop rapidly in the early 21 century to form Ecoinformatics as the new approach of ecological research. The new approach takes into account the data-intensive nature of ecology, the precious information content of ecological data, and the growing capacity of computational technology to leverage complex data as well as the critical need for informing sustainable management of complex ecosystems. It comprehends techniques for data management, data analysis, synthesis, and forecasting on ecological research. The present paper attempts to review the development history, studies and application cases of ecoinformatics in ecological research especially on Long Term Ecological Research (LTER). From the applications show that the ecoinformatics approach and management system have formed a new paradigm in ecological research Keywords: Ecology, EML, Informatics, Information management system, LTER, Metadata Introduction takes into account the data-intensive nature of ecology, the precious information content of ecological data, and Informatics is a distinct scientific discipline, character- the growing capacity of computational technology to ized by its own concepts, methods, body of knowledge, leverage complex data as well as the critical need for in- and open issues. It covers the foundations of computa- forming sustainable management of complex ecosystems. tional structures, processes, artifacts and systems; and It comprehends techniques for data management, data their software designs, their applications, and their im- analysis, synthesis, and forecasting on ecological research pact on society (CECE, 2017). -
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 Basics of Population Dynamics Greg Yarrow, Professor of Wildlife Ecology, Extension Wildlife Specialist
The Basics of Population Dynamics Greg Yarrow, Professor of Wildlife Ecology, Extension Wildlife Specialist Fact Sheet 29 Forestry and Natural Resources Revised May 2009 All forms of wildlife, regardless of the species, will respond to changes in density dependence. These concepts are important for landowners habitat, hunting or trapping, and weather conditions with fluctuations and natural resource managers to understand when making decisions in animal numbers. Most landowners have probably experienced affecting wildlife on private land. changes in wildlife abundance from year to year without really knowing why there are fewer individuals in some years than others. How Many Offspring Can Wildlife Have? In many cases, changes in abundance are normal and to be expected. Most people realize that some wildlife species can produce more The purpose of the information presented here is to help landowners offspring than others. Bobwhite quail are genetically programmed to lay understand why animal numbers may vary or change. While a number an average of 14 eggs per clutch. Each species has a maximum genetic of important concepts will be discussed, one underlying theme should reproductive potential or biotic potential. always be remembered. Regardless of whether property is managed or not in any given year, there is always some change in the habitat, Biotic potential describes a population’s ability to grow over time however small. Wildlife must adjust to this change and, therefore, no through reproduction. Most bat species are likely to produce one population is ever the same from one year to the next. offspring per year. In contrast, a female cottontail rabbit will have a litter size of approximately 5. -
An Empirical Analysis in Kenya, Senegal, and Eswatini
sustainability Article Energy–Climate–Economy–Population Nexus: An Empirical Analysis in Kenya, Senegal, and Eswatini Samuel Asumadu Sarkodie 1,* , Emmanuel Ackom 2 , Festus Victor Bekun 3,4 and Phebe Asantewaa Owusu 1 1 Nord University Business School, Post Box 1490, 8049 Bodo, Norway; [email protected] 2 Department of Technology, Management and Economics, UNEP DTU Partnership, UN City Campus, Denmark Technical University (DTU), Marmorvej 51, 2100 Copenhagen, Denmark; [email protected] 3 Faculty of Economics Administrative and Social sciences, Istanbul Gelisim University, 34310 Istanbul, Turkey; [email protected] 4 Department of Accounting, Analysis, and Audit, School of Economics and Management, South Ural State University, 76, Lenin Aven., 454080 Chelyabinsk, Russia * Correspondence: [email protected] Received: 29 June 2020; Accepted: 29 July 2020; Published: 31 July 2020 Abstract: Motivated by the Sustainable Development Goals (SDGs) and its impact by 2030, this study examines the relationship between energy consumption (SDG 7), climate (SDG 13), economic growth and population in Kenya, Senegal and Eswatini. We employ a Kernel Regularized Least Squares (KRLS) machine learning technique and econometric methods such as Dynamic Ordinary Least Squares (DOLS), Fully Modified Ordinary Least Squares (FMOLS) regression, the Mean-Group (MG) and Pooled Mean-Group (PMG) estimation models. The econometric techniques confirm the Environmental Kuznets Curve (EKC) hypothesis between income level and CO2 emissions while the machine learning method confirms the scale effect hypothesis. We find that while CO2 emissions, population and income level spur energy demand and utilization, economic development is driven by energy use and population dynamics. This demonstrates that income, population growth, energy and CO2 emissions are inseparable, but require a collective participative decision in the achievement of the SDGs. -
Chapter 11 Population Dynamics
APES Chapter 4 Human Population Factors in human population size A. Population Growth =(Births + immigration) - (deaths + emigration) B. When factors are stable ZPG = Zero population Growth C. Use Crude birth and death rate - # per 1000 people D. Rate of change % = birth rate – death rate x 100 1,000 people E. World has slowed population rate but still growing very fast F. Fertility rates 1. Replacement level fertility – couple has 2.1 children 2. Total Fertility rate – TFR – estimate of number of children a woman would have under current age specific birth rates a. better measure b. different in different parts of the world - developed 1.6 - developing 3.4 in developing G. Fertility rates in US – more of a problem because of Americans high resource use. 1. drop in TFR but population still growing – Why? - Large number of baby boomers still in childbearing years - Increase in number of teen mothers US has highest rate of any industrialized countries UN studies say US teens not more sexually active just less likely to know how to prevent pregnancies or less willing to use them. 77% of all teen mothers go on welfare within 5 years - Higher fertility rates non Caucasian mothers - High levels of legal and illegal immigrants – accounts for more than 40% of growth H. Factors that affect Birth and fertility rates 1. level of education and affluence 2. Importance of children in the work force 3. Urbanization 4. Cost of raising and educating children 5. Educational and Employment opportunities for women 6. Infant mortality rates 7. Average age of marriage 8. -
What Can SDSC Do for You? Michael L
What Can SDSC Do For You? Michael L. Norman, Director Distinguished Professor of Physics SAN DIEGO SUPERCOMPUTER CENTER Mission: Transforming Science and Society Through “Cyberinfrastructure” “The comprehensive infrastructure needed to capitalize on dramatic advances in information technology has been termed cyberinfrastructure.” D. Atkins, NSF Office of Cyberinfrastructure 2 SAN DIEGO SUPERCOMPUTER CENTER What Does SDSC Do? SAN DIEGO SUPERCOMPUTER CENTER Gordon – World’s First Flash-based Supercomputer for Data-intensive Apps >300,000 times as fast as SDSC’s first supercomputer 1,000,000 times as much memory SAN DIEGO SUPERCOMPUTER CENTER Industrial Computing Platform: Triton • Fast • Flexible • Economical • Responsive service • Being upgraded now with faster CPUs and GPU nodes SAN DIEGO SUPERCOMPUTER CENTER First all 10Gig Multi-PB Storage System SAN DIEGO SUPERCOMPUTER CENTER High Performance Cloud Storage Analogous to AWS S3 • Data preservation and sharing • Low cost • High reliability • Web-accessible 6/15/2013 SAN DIEGO SUPERCOMPUTER CENTER 7 Awesome connectivity to the outside world 10G 100G 20G XSEDE ESnet UCSD RCI 100G your 10G CENIC Link here 384 port 10G384 switch port 10G switch commercial Internet www.yourdatacollection.edu SAN DIEGO SUPERCOMPUTER CENTER What Does SDSC Do? SAN DIEGO SUPERCOMPUTER CENTER Over 100 in-house researchers and technical staff Core competencies • Modeling & simulation • Parallel computing • Cloud computing • Energy efficient computing • Advanced networking • Software development • Database systems -
Dynamics of Ecological Communities in Variable Environments –Local and Spatial Processes
Linköping Studies in Science and Technology Dissertation No. 1431 Dynamics of ecological communities in variable environments –local and spatial processes Linda Kaneryd Department of Physics, Chemistry and Biology Theoretical Biology Linköping University SE-581 83 Linköping, Sweden Linköping, Mars 2012 Linköping Studies in Science and Technology, Dissertation No. 1431 Kaneryd, L. Dynamics of ecological communities in variable environments – local and spatial processes Copyright © Linda Kaneryd, unless otherwise noted Also available from Linköping University Electronic Press http://www.ep.liu.se/ ISBN: 978 – 91 – 7519 – 946 – 7 ISSN: 0345 – 7524 Front cover: Designed by Johan Sjögren, photo by courtesy of Dan Tommila Printed by LiU-Tryck, Linköping 2012 Abstract The ecosystems of the world are currently facing a variety of anthropogenic perturbations, such as climate change, fragmentation and destruction of habitat, overexploitation of natural resources and invasions of alien species. How the ecosystems will be affected is not only dependent on the direct effects of the perturbations on individual species but also on the trophic structure and interaction patterns of the ecological community. Of particular current concern is the response of ecological communities to climate change. Increased global temperature is expected to cause an increased intensity and frequency of weather extremes. A more unpredictable and more variable environment will have important consequences not only for individual species but also for the dynamics of the entire community. If we are to fully understand the joint effects of a changing climate and habitat fragmentation, there is also a need to understand the spatial aspects of community dynamics. In the present work we use dynamic models to theoretically explore the importance of local (Paper I and II) and spatial processes (Paper III-V) for the response of multi-trophic communities to different kinds of perturbations. -
Modeling Population Dynamics
Modeling Population Dynamics Andr´eM. de Roos Modeling Population Dynamics Andr´eM. de Roos Institute for Biodiversity and Ecosystem Dynamics University of Amsterdam Science Park 904, 1098 XH Amsterdam, The Netherlands E-mail: [email protected] December 4, 2019 Contents I Preface and Introduction 1 1 Introduction 3 1.1 Some modeling philosophy . .3 II Unstructured Population Models in Continuous Time 5 2 Modelling population dynamics 7 2.1 Describing a population and its environment . .7 2.1.1 The population or p-state . .7 2.1.2 The individual or i-state . .8 2.1.3 The environmental or E-condition . .9 2.2 Population balance equation . 10 2.3 Characterizing the population . 11 2.4 Population-level and per capita rates . 12 2.5 Model building . 15 2.5.1 Exponential population growth . 15 2.5.2 Logistic population growth . 16 2.5.3 Two-sexes population growth . 17 2.6 Parameters and state variables . 18 2.7 Deterministic and stochastic models . 19 3 Single ordinary differential equations 21 3.1 Explicit solutions . 21 3.2 Numerical integration . 23 3.3 Analyzing flow patterns . 24 3.4 Steady states and their stability . 28 3.5 Units and non-dimensionalization . 32 3.6 Existence and uniqueness of solutions . 35 3.7 Epilogue . 36 4 Competing for resources 37 4.1 Intraspecific competition . 38 i ii CONTENTS 4.1.1 Growth of yeast in a closed container . 38 4.1.2 Bacterial growth in a chemostat . 40 4.1.3 Asymptotic dynamics . 43 4.1.4 Phase-plane methods and graphical analysis . -
State of World Population 2009 Population of World State
state state of world population 2009 state of world population 2009 Facing a changing world: women, population and climate Facing a changing Facing world: women, population and climate United Nations Population Fund 220 East 42nd Street New York, NY 10017 USA www.unfpa.org USD $17.50 ISBN 978-0-89714-958-7 sales no. E.09.III.H.1 E/27,000/2009 Seal the Deal! is a United Nations-led campaign to promote a fair, balanced and effective agreement on climate change when governments meet in Printed on recycled paper. Copenhagen in December 2009. Editorial team The State of World Population 2009 Lead Author and Researcher: Robert Engelman, Worldwatch Institute The United Nations Environment Programme contributed the foundation Chapter 1 contributors: Janet Macharia, Kaveh Zahedi and Bubu Jallow of for Chapter 1, “Elements of climate change.” The International Organization the United Nations Environment Programme for Migration and the Office of the United Nations High Commissioner for Chapter 3 contributors: Philippe Boncour of the International Organization Refugees jointly drafted Chapter 3, “On the move.” for Migration and José Riera of the Office of the United Nations High Commissioner for Refugees The editorial team also thanks the Inter Press News Agency and the Editor: Richard Kollodge Integrated Regional Information Networks for permission to reprint stories Editorial Associate: Triana D’Orazio from their news services. Editorial and Administrative Associate: Mirey Chaljub The indicators in the report were generously contributed by the Population Acknowledgements Division of the United Nations Department of Economic and Social Affairs, UNESCO Institute for Statistics, the World Health Organization, the Food The editorial team is especially grateful to UNFPA’s Technical Division for and Agriculture Organization of the United Nations, the World Bank, the contributing to the development of the report and reviewing drafts: Pamela UNFPA/NIDI Resource Flows Project and the Population Reference Bureau.