Functional Ecology of Forest, Heath, and Shrub Savannah Alternate States in Eastern Canada
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Functional Ecology's Non-Selectionist Understanding of Function
Studies in History and Philosophy of Biol & Biomed Sci xxx (xxxx) xxx–xxx Contents lists available at ScienceDirect Studies in History and Philosophy of Biol & Biomed Sci journal homepage: www.elsevier.com/locate/shpsc Functional ecology's non-selectionist understanding of function ∗ Antoine C. Dussaulta,b, a Collège Lionel-Groulx, 100, Rue Duquet, Sainte-Thérèse, Québec, J7E 3G6, Canada b Centre Interuniversitaire de Recherche sur la Science et la Technologie (CIRST), Université du Québec à Montréal, C.P. 8888, Succ. Centre-ville, Montréal, Québec, H3C 3P8, Canada ARTICLE INFO ABSTRACT Keywords: This paper reinforces the current consensus against the applicability of the selected effect theory of function in Functional biodiversity ecology. It does so by presenting an argument which, in contrast with the usual argument invoked in support of Function this consensus, is not based on claims about whether ecosystems are customary units of natural selection. Biodiversity Instead, the argument developed here is based on observations about the use of the function concept in func- Ecosystem function tional ecology, and more specifically, research into the relationship between biodiversity and ecosystem func- Biological individuality tioning. It is argued that a selected effect account of ecological functions is made implausible by the fact that it Superorganism would conflict with important aspects of the understanding of function and ecosystem functional organization which underpins functional ecology's research program. Specifically, it would conflict with (1) Functional ecology's adoption of a context-based understanding of function and its aim to study the functional equivalence between phylogenetically-divergent organisms; (2) Functional ecology's attribution to ecosystems of a lower degree of part-whole integration than the one found in paradigm individual organisms; and (3) Functional ecology's adoption of a physiological or metabolic perspective on ecosystems rather than an evolutionary one. -
Competitive Exclusion Principle
Competitive exclusion principle In ecology, the competitive exclusion principle,[1] sometimes referred to as Gause's law,[2] is a proposition named for Georgy Gause that two species competing for the same limited resource cannot coexist at constant population values. When one species has even the slightest advantage over another, the one with the advantage will dominate in the long term. This leads either to the extinction of the weaker competitor or to an evolutionary or behavioral shift toward a different ecological niche. The principle has been paraphrased in the maxim "complete competitors can not coexist".[1] 1: A smaller (yellow) species of bird forages Contents across the whole tree. 2: A larger (red) species competes for resources. History 3: Red dominates in the middle for the more abundant resources. Yellow adapts to a new Experimental basis niche restricted to the top and bottom of the tree, Prediction avoiding competition. Paradoxical traits Redefinition Phylogenetic context Application to humans See also References History The competitive exclusion principle is classically attributed to Georgii Gause,[3] although he actually never formulated it.[1] The principle is already present in Darwin's theory of natural selection.[2][4] Throughout its history, the status of the principle has oscillated between a priori ('two species coexisting must have different niches') and experimental truth ('we find that species coexisting do have different niches').[2] Experimental basis Based on field observations, Joseph Grinnell formulated the principle of competitive exclusion in 1904: "Two species of approximately the same food habits are not likely to remain long evenly balanced in numbers in the same region. -
Regional Neutrality Evolves Through Local Adaptive Niche Evolution
Regional neutrality evolves through local adaptive niche evolution Mathew A. Leibolda,1, Mark C. Urbanb, Luc De Meesterc, Christopher A. Klausmeierd,e,f, and Joost Vanoverbekec aDepartment of Biology, University of Florida, Gainesville, FL 32611; bDepartment of Ecology and Evolutionary Biology, University of Connecticut, Storrs, CT 06269; cDepartment of Biology, Katholieke Universiteit Leuven, B-3000 Leuven, Belgium; dKellogg Biological Station, Michigan State University, Hickory Corners, MI 49060; eDepartment of Plant Biology, Michigan State University, Hickory Corners, MI 49060; and fProgram in Ecology, Evolutionary Biology & Behavior, Michigan State University, Hickory Corners, MI 49060 Edited by Nils C. Stenseth, University of Oslo, Oslo, Norway, and approved December 11, 2018 (received for review May 22, 2018) Biodiversity in natural systems can be maintained either because Past theoretical work in this area suggests that, depending on niche differentiation among competitors facilitates stable coexis- assumptions, the effects of local adaptation can either cause com- tence or because equal fitness among neutral species allows for peting species to diverge (17) or converge (18–22) in niche traits, their long-term cooccurrence despite a slow drift toward extinc- facilitating niche partitioning or neutral cooccurrence of species, tion. Whereas the relative importance of these two ecological respectively. This research, however, neglects the regional scale mechanisms has been well-studied in the absence of evolution, the and the process by which communities assemble through re- role of local adaptive evolution in maintaining biological diversity peated colonization, extinction, and competition.Taking this through these processes is less clear. Here we study the contribu- more regional perspective, local adaptive evolution can generate tion of local adaptive evolution to coexistence in a landscape of evolution-mediated priority effects wherein early colonizers adapt to interconnected patches subject to disturbance. -
Resource Competition Shapes Biological Rhythms and Promotes Temporal Niche
bioRxiv preprint doi: https://doi.org/10.1101/2020.04.22.055160; this version posted April 22, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY 4.0 International license. 1 2 3 Resource competition shapes biological rhythms and promotes temporal niche 4 differentiation in a community simulation 5 6 Resource competition, biological rhythms, and temporal niches 7 8 Vance Difan Gao1,2*, Sara Morley-Fletcher1,4, Stefania Maccari1,3,4, Martha Hotz Vitaterna2, Fred W. Turek2 9 10 1UMR 8576 Unité de Glycobiologie Structurale et Fonctionnelle, Campus Cité Scientifique, CNRS, University of 11 Lille, Lille, France 12 2 Center for Sleep and Circadian Biology, Northwestern University, Evanston, IL, United States of America 13 3Department of Medico-Surgical Sciences and Biotechnologies, University Sapienza of Rome, Rome, Italy 14 4International Associated Laboratory (LIA) “Perinatal Stress and Neurodegenerative Diseases”: University of Lille, 15 Lille, France; CNRS-UMR 8576, Lille, France; Sapienza University of Rome, Rome, Italy; IRCCS Neuromed, Pozzilli, 16 Italy 17 18 19 * Corresponding author 20 E-mail: [email protected] 21 1 bioRxiv preprint doi: https://doi.org/10.1101/2020.04.22.055160; this version posted April 22, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY 4.0 International license. -
Interspecific Competition: • Lecture Summary: • Definition
BIOS 6150: Ecology Dr. Stephen Malcolm, Department of Biological Sciences • Week 5: Interspecific Competition: • Lecture summary: • Definition. Semibalanus balanoides • Examples. James P. Rowan, http://www.emature.com • Outcomes. • Lotka-Volterra model. Chthamalus stellatus Alan J. Southward, http://www.marlin.ac.uk/ BIOS 6150: Ecology - Dr. S. Malcolm. Week 5: Interspecific Competition Slide - 1 2. Interspecific Competition: • Like intraspecific competition, competition between species can be defined as: • “Competition is an interaction between individuals, brought about by a shared requirement for a resource in limited supply, and leading to a reduction in the survivorship, growth and/or reproduction of at least some of the competing individuals concerned” BIOS 6150: Ecology - Dr. S. Malcolm. Week 5: Interspecific Competition Slide - 2 3. Interspecific competition between 2 barnacle species (Fig. 8.2 after Connell, 1961): “Click for pictures” BIOS 6150: Ecology - Dr. S. Malcolm. Week 5: Interspecific Competition Slide - 3 4. Gause's Paramecium species compete interspecifically (Fig. 8.3): BIOS 6150: Ecology - Dr. S. Malcolm. Week 5: Interspecific Competition Slide - 4 5. Tilman's diatoms exploitation/scramble (Fig. 8.5): BIOS 6150: Ecology - Dr. S. Malcolm. Week 5: Interspecific Competition Slide - 5 6. A caveat: “The ghost of competition past:” • Lack observed 5 tit species in a single British wood: • 4 weighed 9.3-11.4g and 1 weighed 20.0g. • All have short beaks and hunt for insect food on leaves & twigs + seeds in winter. • Concluded that they coexisted because they exploited slightly different resources in slightly different ways. • But is this a justifiable explanation? Did species change or were species eliminated? • Connell (1980) emphasized that current patterns may be the product of past evolutionary responses to competition - “the ghost of competition past” ! BIOS 6150: Ecology - Dr. -
A Global Method for Calculating Plant CSR Ecological Strategies Applied Across Biomes World-Wide
Functional Ecology 2016 doi: 10.1111/1365-2435.12722 A global method for calculating plant CSR ecological strategies applied across biomes world-wide Simon Pierce*,1, Daniel Negreiros2, Bruno E. L. Cerabolini3, Jens Kattge4, Sandra Dıaz5, Michael Kleyer6, Bill Shipley7, Stuart Joseph Wright8, Nadejda A. Soudzilovskaia9, Vladimir G. Onipchenko10, Peter M. van Bodegom9, Cedric Frenette-Dussault7, Evan Weiher11, Bruno X. Pinho12, Johannes H. C. Cornelissen13, John Philip Grime14, Ken Thompson14, Roderick Hunt15, Peter J. Wilson14, Gabriella Buffa16, Oliver C. Nyakunga16,17, Peter B. Reich18,19, Marco Caccianiga20, Federico Mangili20, Roberta M. Ceriani21, Alessandra Luzzaro1, Guido Brusa3, Andrew Siefert22, Newton P. U. Barbosa2, Francis Stuart Chapin III23, William K. Cornwell24, Jingyun Fang25, Geraldo Wilson Fernandez2,26, Eric Garnier27, Soizig Le Stradic28, Josep Penuelas~ 29,30, Felipe P. L. Melo12, Antonio Slaviero16, Marcelo Tabarelli12 and Duccio Tampucci20 1Department of Agricultural and Environmental Sciences (DiSAA), University of Milan, Via G. Celoria 2, I-20133 Milan, Italy; 2Ecologia Evolutiva e Biodiversidade/DBG, ICB/Universidade Federal de Minas Gerais, CP 486, 30161-970 Belo Horizonte, MG, Brazil; 3Department of Theoretical and Applied Sciences, University of Insubria, Via J.H. Dunant 3, I-21100 Varese, Italy; 4Max Planck Institute for Biogeochemistry, P.O. Box 100164, 07701 Jena, Germany; 5Instituto Multidisciplinario de Biologıa Vegetal (CONICET-UNC) and FCEFyN, Universidad Nacional de Cordoba, Av. Velez Sarsfield 299, -
Is Ecological Succession Predictable?
Is ecological succession predictable? Commissioned by Prof. dr. P. Opdam; Kennisbasis Thema 1. Project Ecosystem Predictability, Projectnr. 232317. 2 Alterra-Report 1277 Is ecological succession predictable? Theory and applications Koen Kramer Bert Brinkman Loek Kuiters Piet Verdonschot Alterra-Report 1277 Alterra, Wageningen, 2005 ABSTRACT Koen Kramer, Bert Brinkman, Loek Kuiters, Piet Verdonschot, 2005. Is ecological succession predictable? Theory and applications. Wageningen, Alterra, Alterra-Report 1277. 80 blz.; 6 figs.; 0 tables.; 197 refs. A literature study is presented on the predictability of ecological succession. Both equilibrium and nonequilibrium theories are discussed in relation to competition between, and co-existence of species. The consequences for conservation management are outlined and a research agenda is proposed focusing on a nonequilibrium view of ecosystem functioning. Applications are presented for freshwater-; marine-; dune- and forest ecosystems. Keywords: conservation management; competition; species co-existence; disturbance; ecological succession; equilibrium; nonequilibrium ISSN 1566-7197 This report can be ordered by paying € 15,- to bank account number 36 70 54 612 by name of Alterra Wageningen, IBAN number NL 83 RABO 036 70 54 612, Swift number RABO2u nl. Please refer to Alterra-Report 1277. This amount is including tax (where applicable) and handling costs. © 2005 Alterra P.O. Box 47; 6700 AA Wageningen; The Netherlands Phone: + 31 317 474700; fax: +31 317 419000; e-mail: [email protected] No part of this publication may be reproduced or published in any form or by any means, or stored in a database or retrieval system without the written permission of Alterra. Alterra assumes no liability for any losses resulting from the use of the research results or recommendations in this report. -
Conservation Ecology: Using Ants As Bioindicators
Table of Contents Using Ants as bioindicators: Multiscale Issues in Ant Community Ecology......................................................0 ABSTRACT...................................................................................................................................................0 INTRODUCTION.........................................................................................................................................0 SCALE DEPENDENCY IN ANT COMMUNITIES....................................................................................1 Functional groups .............................................................................................................................2 Regulation of diversity......................................................................................................................3 Measuring species richness and composition...................................................................................4 Estimating species richness...............................................................................................................6 IMPLICATIONS FOR THE USE OF ANTS AS BIOINDICATORS..........................................................8 Using functional groups to assess ecological change.......................................................................8 Assessing species diversity...............................................................................................................9 RESPONSES TO THIS ARTICLE.............................................................................................................10 -
Functional Ecology of Secondary Forests in Chiapas, Mexico
Functional ecology of secondary forests in Chiapas, Mexico Madelon Lohbeck AV2010-19 MWM Lohbeck Functional Ecology of Secondary forests in Chiapas, Mexico Master thesis Forest Ecology and Forest Management Group FEM 80439 and FEM 80436 April 2010, AV2010-19 Supervisors: Prof. Dr. Frans Bongers (Forest Ecology and Forest Management group, Centre for Ecosystem Studies, Wageningen University and Research centre, the Netherlands) Dr. Horacio Paz (Centro de Investigaciones en Ecosistemas, Universidad Nacional Autonóma de México, Mexico) All rights reserved. This work may not be copied in whole or in parts without the written permission of the supervisor. 2 Table of contents General introduction 5 Acknowledgements 8 Chapter 1: Environmental filtering of functional traits as a driver of 9 community assembly during secondary succession in tropical wet forest of Mexico Chapter 2. Functional traits related to changing environmental conditions during 27 secondary succession: Environmental filtering and the slow-fast continuum Chapter 3. Functional and species diversity in tropical wet forest succession 48 Chapter 4. Functional diversity as a tool in predicting community assembly 65 processes 3 List of tables and figures General introduction Figure 1: General overview of the study area in Chiapas, Mexico 6 Chapter 1 Table 1: Leaf trait abbreviations and descriptions 13 Figure 1: Pathmodel showing the causal relations between age, stand 15 structure, environment and functional traits Figure 2: Stand structure in time since abandonment 15 Figure 3: -
Functional Island Biogeography: the Next Frontier in Island Biology
Functional island biogeography: the next frontier in island biology Holger Kreft∗1,2 1Centre of Biodiversity and Sustainable Land Use, University of G¨ottingen{ B¨usgenweg 1 37077 G¨ottingen,Germany 2Biodiversity, Macroecology Biogeography, University of G¨ottingen{ B¨usgenweg 1. 37077 G¨ottingen, Germany Abstract Island biota exhibit a fascinating diversity of form and function, and the specular morpho- logical and behavioral oddities of island species compared to mainland relatives have received considerable scientific interest. Interestingly, all influential theories in island biogeography including the Equilibrium Theory and the General Dynamic Model of Island Biogeography do not consider such differences in species traits but instead treat all species as functionally equivalent. Such an ecologically neutral perspective clearly represents an oversimplification of the nature of island biota and limits our ability to understand the complex interplay of processes underpinning the distribution and diversity of island species and to predict how island species are affected by global environmental change. The large body of literature that exists on traits associated with dispersal and colonization, island syndromes (e.g. derived island woodiness, disharmony) or convergent trait evolution on different islands, however, currently lacks a coherent framework. Here, we argue that islands are particularly suited for a trait-based approach to study how different dispersal and environmental filters shape species assemblages at different spatial scales and how functional diversity emerges over time. We propose functional island biogeography, as an emerging sub-discipline that studies the distribution and composition of traits and functional diversity of island organisms across different organizational levels, and argue that this approach has great potential to link cur- rently disparate areas of island research at the interface of functional ecology, biogeography and evolutionary biology. -
Competition, Predation and Nest Niche Shifts Among Tropical Cavity Nesters: Ecological Evidence
JOURNAL OF AVIAN BIOLOGY 36: 74Á/83, 2005 Competition, predation and nest niche shifts among tropical cavity nesters: ecological evidence Donald J. Brightsmith Brightsmith, D. J. 2005. Competition, predation and nest niche shifts among tropical cavity nesters: ecological evidence. Á/ J. Avian Biol. 36: 74Á/83. I studied cavity-nesting birds in an undisturbed site in lowland Peru to determine the relative roles of competition and predation in favoring termitarium nesting over tree cavity nesting. Occupancy rates of both nest boxes and natural tree cavities near 2% suggest that competition for tree cavities is not favoring the use of termitaria. Artificial nests and bird nests in termitaria suffer significantly lower predation rates than similar nests in old tree cavities showing that predation is favoring the use of termitaria over old tree cavities. Bird nests in newly excavated tree cavities also show lower predation rates than older cavities suggesting that cavity age is more important than substrate (tree or termitaria) per se. This study suggests that nest predation has a greater influence than nest competition on life history evolution for many cavity-nesting birds. D. J. Brightsmith, Department of Biology, Duke University, Durham NC 27708-0338, E-mail: [email protected] Nest site selection greatly influences avian natural transitions from nesting in tree cavities to nesting in history. Traits like clutch size, nestling period, renesting arboreal termite mounds. These transitions correlated probability, nest initiation date and nest predation rates with an increase in nestling period suggesting that all correlate with nesting niche (Lack 1968, Martin 1995, predation rates in termite mounds are significantly lower Robinson et al. -
Unit Title: Population Ecology
Colorado Teacher-Authored Instructional Unit Sample Science High School - Biology Unit Title: Population Ecology INSTRUCTIONAL UNIT AUTHORS Monte Vista School District Kana Condon Schuyler Fishman Loree Harvey Eric Hotz BASED ON A CURRICULUM OVERVIEW SAMPLE AUTHORED BY Boulder Valley School District Tammy Hearty Jefferson County School District Chalee McDougal Poudre School District Laura Grissom Colorado’s District Sample Curriculum Project This unit was authored by a team of Colorado educators. The template provided one example of unit design that enabled teacher- authors to organize possible learning experiences, resources, differentiation, and assessments. The unit is intended to support teachers, schools, and districts as they make their own local decisions around the best instructional plans and practices for all students. DATE POSTED: MARCH 31, 2014 Colorado Teacher-Authored Sample Instructional Unit Content Area Science Grade Level High School Course Name/Course Code Biology Standard Grade Level Expectations (GLE) GLE Code 1. Physical Science 1. Newton’s laws of motion and gravitation describe the relationships among forces acting on and between SC09-GR.HS-S.1-GLE.1 objects, their masses, and changes in their motion – but have limitations 2. Matter has definite structure that determines characteristic physical and chemical properties SC09-GR.HS-S.1-GLE.2 3. Matter can change form through chemical or nuclear reactions abiding by the laws of conservation of mass and SC09-GR.HS-S.1-GLE.3 energy 4. Atoms bond in different ways to form molecules and compounds that have definite properties SC09-GR.HS-S.1-GLE.4 5. Energy exists in many forms such as mechanical, chemical, electrical, radiant, thermal, and nuclear, that can be SC09-GR.HS-S.1-GLE.5 quantified and experimentally determined 6.