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Fire Exclusion Forest Service in Rocky Mountain Ecosystems: Rocky Mountain Research Station
United States Department of Agriculture Cascading Effects of Fire Exclusion Forest Service in Rocky Mountain Ecosystems: Rocky Mountain Research Station General Technical Report RMRS-GTR-91 A Literature Review May 2002 Robert E. Keane, Kevin C. Ryan Tom T. Veblen, Craig D. Allen Jesse Logan, Brad Hawkes Abstract Keane, Robert E.; Ryan, Kevin C.; Veblen, Tom T.; Allen, Craig D.; Logan, Jessie; Hawkes, Brad. 2002. Cascading effects of fire exclusion in the Rocky Mountain ecosystems: a literature review. General Technical Report. RMRS- GTR-91. Fort Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. 24 p. The health of many Rocky Mountain ecosystems is in decline because of the policy of excluding fire in the management of these ecosystems. Fire exclusion has actually made it more difficult to fight fires, and this poses greater risks to the people who fight fires and for those who live in and around Rocky Mountain forests and rangelands. This paper discusses the extent of fire exclusion in the Rocky Mountains, then details the diverse and cascading effects of suppressing fires in the Rocky Mountain landscape by spatial scale, ecosystem characteristic, and vegetation type. Also discussed are the varied effects of fire exclusion on some important, keystone ecosystems and human concerns. Keywords: wildland fire, fire exclusion, fire effects, landscape ecology Research Summary Since the early 1930s, fire suppression programs in the United States and Canada successfully reduced wildland fires in many Rocky Mountain ecosystems. This lack of fires has created forest and range landscapes with atypical accumulations of fuels that pose a hazard to many ecosystem characteristics. -
Meta-Ecosystems: a Theoretical Framework for a Spatial Ecosystem Ecology
Ecology Letters, (2003) 6: 673–679 doi: 10.1046/j.1461-0248.2003.00483.x IDEAS AND PERSPECTIVES Meta-ecosystems: a theoretical framework for a spatial ecosystem ecology Abstract Michel Loreau1*, Nicolas This contribution proposes the meta-ecosystem concept as a natural extension of the Mouquet2,4 and Robert D. Holt3 metapopulation and metacommunity concepts. A meta-ecosystem is defined as a set of 1Laboratoire d’Ecologie, UMR ecosystems connected by spatial flows of energy, materials and organisms across 7625, Ecole Normale Supe´rieure, ecosystem boundaries. This concept provides a powerful theoretical tool to understand 46 rue d’Ulm, F–75230 Paris the emergent properties that arise from spatial coupling of local ecosystems, such as Cedex 05, France global source–sink constraints, diversity–productivity patterns, stabilization of ecosystem 2Department of Biological processes and indirect interactions at landscape or regional scales. The meta-ecosystem Science and School of perspective thereby has the potential to integrate the perspectives of community and Computational Science and Information Technology, Florida landscape ecology, to provide novel fundamental insights into the dynamics and State University, Tallahassee, FL functioning of ecosystems from local to global scales, and to increase our ability to 32306-1100, USA predict the consequences of land-use changes on biodiversity and the provision of 3Department of Zoology, ecosystem services to human societies. University of Florida, 111 Bartram Hall, Gainesville, FL Keywords 32611-8525, -
How Can Landscape Ecology Contribute to Sustainability Science?
Landscape Ecol (2018) 33:1–7 https://doi.org/10.1007/s10980-018-0610-7 EDITORIAL How can landscape ecology contribute to sustainability science? Paul Opdam . Sandra Luque . Joan Nassauer . Peter H. Verburg . Jianguo Wu Received: 7 January 2018 / Accepted: 9 January 2018 / Published online: 15 January 2018 Ó Springer Science+Business Media B.V., part of Springer Nature 2018 While landscape ecology is distinct from sustainability science, landscape ecologists have expressed their ambitions to help society advance sustainability of landscapes. In this context Wu (2013) coined the concept of landscape sustainability science. In August of 2017 we joined the 5th forum of landscape sustainability science in P. Opdam (&) P. H. Verburg Land Use Planning Group & Alterra, Wageningen Swiss Federal Institute for Forest, Snow and Landscape University and Research, Wageningen, The Netherlands Research (WSL), Birmensdorf, Switzerland e-mail: [email protected] J. Wu S. Luque School of Life Sciences, School of Sustainability, Julie A. IRSTEA – UMR TETIS Territoires, Environnement, Wrigley Global Institute of Sustainability, Arizona State Te´le´de´tection ET Information Spatiale, Montpellier, University, Tempe, USA France J. Wu J. Nassauer Center for Human–Environment System Sustainability School for Environment and Sustainability, University of (CHESS), Beijing Normal University, Beijing, China Michigan, Ann Arbor, USA P. H. Verburg Institute for Environmental Studies, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands 123 2 Landscape Ecol (2018) 33:1–7 Beijing (see http://leml.asu.edu/chess/FLSS/05/index.html). To inspire landscape ecologists in developing research for a more sustainable future, we highlight some of the key points raised there. We emphasize challenges that have been identified in sustainability science that we consider particularly relevant for landscape sustainability. -
Towards an Integrative Understanding of Soil Biodiversity
Towards an integrative understanding of soil biodiversity Madhav Thakur, Helen Phillips, Ulrich Brose, Franciska de Vries, Patrick Lavelle, Michel Loreau, Jérôme Mathieu, Christian Mulder, Wim van der Putten, Matthias Rillig, et al. To cite this version: Madhav Thakur, Helen Phillips, Ulrich Brose, Franciska de Vries, Patrick Lavelle, et al.. Towards an integrative understanding of soil biodiversity. Biological Reviews, Wiley, 2020, 95, pp.350 - 364. 10.1111/brv.12567. hal-02499460 HAL Id: hal-02499460 https://hal.archives-ouvertes.fr/hal-02499460 Submitted on 5 Mar 2020 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Biol. Rev. (2020), 95, pp. 350–364. 350 doi: 10.1111/brv.12567 Towards an integrative understanding of soil biodiversity Madhav P. Thakur1,2,3∗ , Helen R. P. Phillips2, Ulrich Brose2,4, Franciska T. De Vries5, Patrick Lavelle6, Michel Loreau7, Jerome Mathieu6, Christian Mulder8,WimH.Van der Putten1,9,MatthiasC.Rillig10,11, David A. Wardle12, Elizabeth M. Bach13, Marie L. C. Bartz14,15, Joanne M. Bennett2,16, Maria J. I. Briones17, George Brown18, Thibaud Decaens¨ 19, Nico Eisenhauer2,3, Olga Ferlian2,3, Carlos Antonio´ Guerra2,20, Birgitta Konig-Ries¨ 2,21, Alberto Orgiazzi22, Kelly S. -
Spatial Ecology and Modeling of Fish Populations - FAS 6416
Spatial Ecology and Modeling of Fish Populations - FAS 6416 1 Overview Spatial approaches to fisheries management are increasingly of interest the conservation and management of fish populations; and spatial research on fish populations and fish ecology is becoming a cornerstone of fisheries research. This course explores spatial ecology concepts, population dynamics models, examples of field data, and computer simulation tools to understand the ecological origin of spatial fish populations and their importance for fisheries management and conservation. The course is suitable for students who are interested in an interdisciplinary research field that draws as much from ecology as from fisheries management. 2 credits Spring Semester Face-to-face Location TBD with course website: http://elearning.ufl.edu/ The course is intended to provide students with different types of models and concepts that explain the spatial distribution of fish at different spatial and temporal scales. The course is new and evolving, and contains structured elements as well as exploratory exercises and discussions that are aimed at providing students with new perspectives on the dynamics of fish populations. Course Prerequisites: Graduate student status in Fisheries and Aquatic Sciences (or related, as determined by instructor). Interested graduate students in Wildlife Ecology are welcome. Instructor: Dr. Juliane Struve, [email protected]. SFRC Fisheries and Aquatic Sciences Rm. 34, Building 544. Telephone: 352-273-3632. Cell Phone: 352-213-5108 Please use the Canvas message/Inbox feature for fastest response. Office hours: Tuesdays, 3-5pm or online by appointment Textbook(s) and/or readings: The course does not have a designated text book. Reading materials will be assigned for every session and typical consist of 1-2 classic and recent papers. -
Landscapes of Fear: Spatial Patterns of Risk
TREE 2486 No. of Pages 14 Review Landscapes of Fear: Spatial Patterns of Risk Perception and Response 1, ,@ 2,3,5 1,5 4,5 Kaitlyn M. Gaynor , * Joel S. Brown, Arthur D. Middleton, Mary E. Power, and 1 Justin S. Brashares Animals experience varying levels of predation risk as they navigate heteroge- Highlights neous landscapes, and behavioral responses to perceived risk can structure Recent technological advances have provided unprecedented insights into ecosystems. The concept of the landscape of fear has recently become central the movement and behavior of animals to describing this spatial variation in risk, perception, and response. We present on heterogeneous landscapes. Some studies have indicated that spatial var- a framework linking the landscape of fear, defined as spatial variation in prey iation in predation risk plays a major perception of risk, to the underlying physical landscape and predation risk, and role in prey decision making, which can to resulting patterns of prey distribution and antipredator behavior. By disam- ultimately structure ecosystems. biguating the mechanisms through which prey perceive risk and incorporate The concept of the ‘landscape of fear’ fear into decision making, we can better quantify the nonlinear relationship was introduced in 2001 and has been between risk and response and evaluate the relative importance of the land- widely adopted to describe spatial var- iation predation risk, risk perception, scape of fear across taxa and ecosystems. and response. However, increasingly divergent interpretations of its meaning Introduction and application now cloud under- The risk of predation plays a powerful role in shaping behavior of fearful prey, with conse- standing and synthesis, and at least 15 distinct processes and states have quences for individual physiology, population dynamics, and community interactions [1,2]. -
Spatial Ecology of Territorial Populations
Spatial ecology of territorial populations Benjamin G. Weinera, Anna Posfaib, and Ned S. Wingreenc,1 aDepartment of Physics, Princeton University, Princeton, NJ 08544; bSimons Center for Quantitative Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724; and cLewis–Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ 08544 Edited by Nigel Goldenfeld, University of Illinois at Urbana–Champaign, Urbana, IL, and approved July 30, 2019 (received for review July 9, 2019) Many ecosystems, from vegetation to biofilms, are composed of and penalize niche overlap (25), but did not otherwise struc- territorial populations that compete for both nutrients and phys- ture the spatial interactions. All these models allow coexistence ical space. What are the implications of such spatial organization when the combination of spatial segregation and local interac- for biodiversity? To address this question, we developed and ana- tions weakens interspecific competition relative to intraspecifc lyzed a model of territorial resource competition. In the model, competition. However, it remains unclear how such interactions all species obey trade-offs inspired by biophysical constraints on relate to concrete biophysical processes. metabolism; the species occupy nonoverlapping territories, while Here, we study biodiversity in a model where species interact nutrients diffuse in space. We find that the nutrient diffusion through spatial resource competition. We specifically consider time is an important control parameter for both biodiversity and surface-associated populations which exclude each other as they the timescale of population dynamics. Interestingly, fast nutri- compete for territory. This is an appropriate description for ent diffusion allows the populations of some species to fluctuate biofilms, vegetation, and marine ecosystems like mussels (28) or to zero, leading to extinctions. -
Introduction to the Special Issue on Spatial Ecology
International Journal of Geo-Information Editorial Space-Ruled Ecological Processes: Introduction to the Special Issue on Spatial Ecology Duccio Rocchini 1,2,3 1 University of Trento, Center Agriculture Food Environment, Via E. Mach 1, 38010 S. Michele all’Adige (TN), Italy; [email protected] 2 University of Trento, Centre for Integrative Biology, Via Sommarive, 14, 38123 Povo (TN), Italy 3 Fondazione Edmund Mach, Department of Biodiversity and Molecular Ecology, Research and Innovation Centre, Via E. Mach 1, 38010 S. Michele all’Adige (TN), Italy Received: 12 December 2017; Accepted: 23 December 2017; Published: 2 January 2018 This special issue explores most of the scientific issues related to spatial ecology and its integration with geographical information at different spatial and temporal scales. Papers are mainly related to challenging aspects of species variability over space and landscape dynamics, providing a benchmark for future exploration on this theme. The need for a spatial view in Ecology is a fact. Dealing with ecological changes over space and time represents a long-lasting theme, now faced by means of innovative techniques and modelling approaches (e.g., Chaudhary et al. [1], Palmer [2], Rocchini [3]). This special issue explores some of them, with challenging ideas facing different components of spatial patterns related to ecological processes, such as: (i) species variability over space [4–11]; and (ii) landscape dynamics [12,13]. Concerning biodiversity variability over space, key spatial datasets are needed to fully investigate biodiversity change in space and time, as shown by Geri et al. [7], who carried out innovative procedures to recover and properly map historical floristic and vegetation data for biodiversity monitoring. -
Pattern and Process Second Edition Monica G. Turner Robert H. Gardner
Monica G. Turner Robert H. Gardner Landscape Ecology in Theory and Practice Pattern and Process Second Edition L ANDSCAPE E COLOGY IN T HEORY AND P RACTICE M ONICA G . T URNER R OBERT H . G ARDNER LANDSCAPE ECOLOGY IN THEORY AND PRACTICE Pattern and Process Second Edition Monica G. Turner University of Wisconsin-Madison Department of Zoology Madison , WI , USA Robert H. Gardner University of Maryland Center for Environmental Science Frostburg, MD , USA ISBN 978-1-4939-2793-7 ISBN 978-1-4939-2794-4 (eBook) DOI 10.1007/978-1-4939-2794-4 Library of Congress Control Number: 2015945952 Springer New York Heidelberg Dordrecht London © Springer-Verlag New York 2015 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifi cally the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfi lms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specifi c statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. -
The Structure of Community Ecology
The structure of community ecology Mark Vellend Departments of Botany & Zoology Biodiversity Research Centre University of British Columbia Is community ecology a mess? 1 …with a key difference in how process is treated Population Community Genetics Ecology Patterns we Diversity and Diversity and want to composition of composition of understand alleles/genotypes species Competition Processes to Mutation Predation Niches Neutrality explain Drift Island biogeography Resource-use trade-offs patterns Colonization-competition trade-offs Migration Disturbance Productivity Evolutionary history Selection Etc. But is the difference real or necessary? Population Community Genetics Ecology Patterns we Diversity and Diversity and want to composition of composition of understand alleles/genotypes species Processes to Mutation Speciation explain Drift Drift patterns Migration Dispersal Selection Selection 2 Question on Ecology 101 final exam: What processes influence species composition and diversity? Answer: Question on Evolution 101 final exam: What processes influence genetic variation? Answer: Mutation Drift Migration Selection 3 Processes that influence community composition and diversity Speciation: The creation of new species. Drift: Random changes in the relative frequencies of species. Dispersal: Movement of organisms/propagules among communities. Selection: Deterministic differential survival or reproduction of species. THE LAST 40 The MacArthur school (Marlboro Circle) YEARS OF COMMUNITY Island Biogeography Simple, general, deterministic -
Spatial Ecology of Territorial Populations
bioRxiv preprint doi: https://doi.org/10.1101/694257; this version posted July 5, 2019. 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-NC-ND 4.0 International license. Spatial Ecology of Territorial Populations Benjamin G. Weiner Department of Physics, Princeton University, Princeton, NJ 08544 Anna Posfai Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724 Ned S. Wingreen∗ Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ 08544 (Dated: July 5, 2019) Many ecosystems, from vegetation to biofilms, are composed of territorial populations that com- pete for both nutrients and physical space. What are the implications of such spatial organization for biodiversity? To address this question, we developed and analyzed a model of territorial re- source competition. In the model, all species obey trade-offs inspired by biophysical constraints on metabolism; the species occupy non-overlapping territories while nutrients diffuse in space. We find that the nutrient diffusion time is an important control parameter for both biodiversity and the timescale of population dynamics. Interestingly, fast nutrient diffusion allows the populations of some species to fluctuate to zero, leading to extinctions. Moreover, territorial competition spon- taneously gives rise to both multistability and the Allee effect (in which a minimum population is required for survival), so that small perturbations can have major ecological effects. While the as- sumption of trade-offs allows for the coexistence of more species than the number of nutrients – thus violating the principle of competitive exclusion – overall biodiversity is curbed by the domination of “oligotroph” species. -
Applying Landscape Ecology in Biological Conservation
Kevin J. Gutzwiller Editor Applying Landscape Ecology in Biological Conservation With a Foreword by Richard T.T. Foman With 62 Figures, 2 in Full Color Springer Human Conversion of Terrestrial Habitats PETERAUGUST, LOUIS IVERSON, AND JARUNEENUGRANAD 12.1 Introduction In this chapter, we describe how human activities change the abundance and qual- ity of terrestrial habitats and discuss the ecological implications of these changes for biota. We begin by identifying fundamental principles associated with human conversion of terrestrial habitats and how fauna and flora respond to habitat con- version. We present a number of examples of how landscape ecologists and con- servation biologists use these basic principles of land-cover change to develop management strategies to minimize ecological impacts from habitat loss. Next, we discuss principles for applying landscape ecology. We identify major voids in ecological theory and existing data that need to be filled for land managers to be better prepared to apply the principles of landscape ecology to biological conser- vation. Finally, we suggest research approaches that may be used to fill knowl- edge gaps. Although social and economic considerations are fundamental to land- cover change dynamics (Riebsame et al. 1994). detailed discussion of these factors is beyond the scope of this book; therefore, we focus our remarks on the ecological aspects of human conversion of terrestrial habitats. 12.2 Concepts, Principles, and Emerging Ideas Human disturbance is the most significant contemporary agent of change in ter- restrial ecosystems (Forman 1995). The rates with which natural habitats are lost, disturbed landscapes are created, species go extinct, and ecosystem processes are altered are higher now than they have been since the last cataclysmic event that impacted the planet 50 million years ago (Fastovsky and Weishampel 1996).