A Review of the Optimal Foraging Theory Literature in Zooarchaeology and Archaeobotany

Total Page:16

File Type:pdf, Size:1020Kb

A Review of the Optimal Foraging Theory Literature in Zooarchaeology and Archaeobotany Research Communications Beyond Depression? A Review of the Optimal Foraging Theory Literature in Zooarchaeology and Archaeobotany Emily Lena Jones1* and David A. Hurley2 1Department of Anthropology, University of New Mexico, Albuquerque, NM, USA. 2University Libraries, University of New Mexico, Albuquerque, NM, USA. *[email protected] Abstract The use of optimal foraging theory in archaeology has been criticized for focusing heavily on “negative” human- environmental interactions, particularly anthropogenic resource depression, in which prey populations are reduced by foragers’ own foraging activities. In addition, some researchers have suggested the focus on resource depression is more common in the zooarchaeological literature than in the archaeobotanical literature, indicating fundamental differences in the ways zooarchaeologists and archaeobotanists approach the archaeological record. In this paper, we assess these critiques through a review of the literature between 1997 and 2017. We find that studies identifying resource depression occur at similar rates in the archaeobotanical and zooarchaeological literature. In addition, while earlier archaeological applications of optimal foraging theory did focus heavily on the identification of resource depression, the literature published between 2013 and 2017 shows a wider variety of approaches. Received September 5, 2016 OPEN ACCESS Accepted March 10, 2017 DOI 10.14237/ebl.8.1.2017.786 Keywords Resource depression, Optimal foraging theory, Prey choice, Zooarchaeology, Archaeobotany Copyright © 2017 by the author(s); licensee Society of Ethnobiology. This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International Public License (https://creativecommons.org/licenses/by-nc/4.0), which permits non-commercial use, distribution, and reproduction in any medium, provided the original author and source are credited. Supplementary Files available at ojs.ethnobiology.org/index.php/ebl/article/view/786 Introduction that anthropogenic resource depression is primarily The debate on the use of optimal foraging theory in evidenced in zooarchaeological, rather than archaeology—particularly in zooarchaeology and archaeobotanical, data. The bases of this belief range archaeobotany—has been heated in recent years, with from differences in human-plant relationships as critiques emerging in a variety of different contexts opposed to human-animal ones to methodological (e.g., Codding et al. 2010; Jones 2016a:9–22; Reitz et differences (see for instance Campbell and Butler al. 2009; Smith 2015; Speth 2013; Zeder 2012, 2015a, 2010a; Deur and Turner 2005; Peacock and Turner b). While these critiques vary both in their natures 2000; Smith 2014; Turner et al. 2000). While and in the bases of their arguments, many of them explanations vary, the impression that concern, at least in part, the use of foraging theory to archaeobotanists are less likely to identify resource identify cases of prehistoric resource depression, or depression than zooarchaeologists is widespread. decreases in foraging efficiency based on the foragers’ However, neither the dominance of resource own activities (here, we use resource depression in a depression in the zooarchaeological foraging theory large sense, including behavioral depression and literature nor the lack of evidence for resource microhabitat depression as well as exploitation depression in the archaeobotanical literature have depression; see Charnov et al. 1976). Zeder been demonstrated through literature review. In fact, (2012:254) puts it succinctly: “In this way a broad there is some evidence to contradict both these ideas spectrum diet, resource depression, and a decrease in (Codding and Bird 2015). Foraging theory models are foraging efficiency are all inextricably linked together, used by archaeobotanists and zooarchaeologists to imbedded within the foundational assumptions of the explore themes other than resource depression; OFT world view.” Similarly, some have suggested indeed, these models have been used archaeologically Jones and Hurley. 2017. Ethnobiology Letters 8(1):35–42 35 Research Communications to identify, among other things, instances of zooarchaeological and archaeobotanical data were not prehistoric sustainability (e.g., Campbell and Butler the basis of the overall argument, and/or which were 2010b), cases of environmental rebound (e.g., Jones purely conceptual. For reasons both practical (we 2016b), climate-driven changes in resource acquisition could not obtain all the publications) and abstract (e.g., Broughton et al. 2008), and gendered foraging (content was not designed as a “publication” per se), (e.g., Zeanah 2004). On the other hand, in at least we excluded undergraduate theses, conference papers some cases archaeobotanical data have been used to and posters, and non-peer-reviewed reports. support studies of resource depression (e.g., Simms Duplicate results were frequent both within and 1984). across databases, with Google Scholar presenting However, this evidence is anecdotal. It does not particular challenges. Google Scholar might find the negate the possibilities that 1) other mechanisms for same article on the journal’s website, the authors’ change identified are adjunct and subordinate to webpages, social networking sites such as studies of resource depression in the foraging theory Academia.edu, as well as in one or more institutional literature; and 2) archaeobotanical studies identify repositories. In some cases, the versions retrieved by resource depression less frequently than Google Scholar were uncorrected proofs or otherwise zooarchaeological studies. different from the final published form. We used the To explore these possibilities, in this paper we version of record—that is, the final published form— consider the role resource depression and other topics whenever available. within the zooarchaeology and archaeobotany optimal Despite our focus on recall, our search foraging literature have played over the last 20 years. undoubtedly missed relevant publications. Works not We assess patterns in publications’ analytical foci included in the databases searched were, obviously, overall, by subdiscipline, and through time. not found. Additionally, indexing varies across publication and database. If the full text of the Methods publication is not searchable, and the terms we Data collection searched for do not appear in the indexed fields (e.g., We searched multiple databases of scholarly in title, abstract, keyword, or subject fields), the publications including Anthropology Plus, publication would not be retrieved even if the work Anthrosource, Google Scholar, Web of Knowledge, was relevant. Finally, in dealing with large results sets and WorldCat to identify the relevant literature. Our with significant duplication, human error was also search criteria required any one of the following likely a factor. phrases: foraging theory, prey choice model, or patch Our final dataset contained 244 individual articles, choice model, in addition to some variation of any of chapters, books, dissertations and theses, representing the following terms: archaeology, archaeobotany, the work of more than 250 individual authors working zooarchaeology. on six continents (see supplementary dataset and Though the exact search differed slightly by database, bibliography). As these data are limited to those the search logic can generally be represented as: authors publishing explicitly within foraging theory, ("Optimal foraging theory" OR "Prey Choice they cannot be used to study trends within model" OR "Patch Choice model") AND zooarchaeology or archaeobotany overall. However, (archaeology OR archeology OR paleoethno* we believe they do provide a reasonable sample to OR paleobot* OR archaeobot* OR zooarch* understand the zooarchaeology and archaeobotany OR archaeozoo*) foraging theory literature. Citations to these articles The search was further limited by year to works are provided in the supplementary files. published in 1997 or later, and by language to works Analyses written in English. We read all publications in the dataset and recorded Our search strategy was deliberately broad and whether they used zooarchaeological data, emphasized recall over precision (i.e., prioritizing not archaeobotanical data, or both. “Zooarchaeology” missing relevant articles over limiting irrelevant comprised any study using animal (vertebrate or results). Therefore, we assessed each article invertebrate) remains as the basis of study, while individually to exclude works in which foraging theory “archaeobotany” included any study using plant data was mentioned only in passing, in which (pollen, phytoliths, macrobotanical data, etc.). Jones and Hurley. 2017. Ethnobiology Letters 8(1):35–42 36 Research Communications Table 1 Descriptions of topical categories used in this analysis. Category Examples of topics Overall n Resource depression Reduced foraging efficiency due to foragers’ own activities 85 Prey/patch choice approaches to domestication of either (or both) plants Domestication 22 and animals Patch choice, central place foraging, and/or marginal value theorem ap- Patch choice/CPF 70 proaches to understanding subsistence and/or resource use Sustainability Sustainable use; conservation 37 Environment/climate Connection between environmental variables and changes in prey choice 50 change and/or patch use Culture Costly signaling; gender and risk; niche construction 39 Method/Theory Prey ranking systems;
Recommended publications
  • Foraging Modes of Carnivorous Plants Aaron M
    Israel Journal of Ecology & Evolution, 2020 http://dx.doi.org/10.1163/22244662-20191066 Foraging modes of carnivorous plants Aaron M. Ellison* Harvard Forest, Harvard University, 324 North Main Street, Petersham, Massachusetts, 01366, USA Abstract Carnivorous plants are pure sit-and-wait predators: they remain rooted to a single location and depend on the abundance and movement of their prey to obtain nutrients required for growth and reproduction. Yet carnivorous plants exhibit phenotypically plastic responses to prey availability that parallel those of non-carnivorous plants to changes in light levels or soil-nutrient concentrations. The latter have been considered to be foraging behaviors, but the former have not. Here, I review aspects of foraging theory that can be profitably applied to carnivorous plants considered as sit-and-wait predators. A discussion of different strategies by which carnivorous plants attract, capture, kill, and digest prey, and subsequently acquire nutrients from them suggests that optimal foraging theory can be applied to carnivorous plants as easily as it has been applied to animals. Carnivorous plants can vary their production, placement, and types of traps; switch between capturing nutrients from leaf-derived traps and roots; temporarily activate traps in response to external cues; or cease trap production altogether. Future research on foraging strategies by carnivorous plants will yield new insights into the physiology and ecology of what Darwin called “the most wonderful plants in the world”. At the same time, inclusion of carnivorous plants into models of animal foraging behavior could lead to the development of a more general and taxonomically inclusive foraging theory.
    [Show full text]
  • Optimal Foraging Theory and the Psychology of Learning Alan Kamil
    University of Nebraska - Lincoln DigitalCommons@University of Nebraska - Lincoln Avian Cognition Papers Center for Avian Cognition 1983 Optimal Foraging Theory and the Psychology of Learning Alan Kamil Follow this and additional works at: https://digitalcommons.unl.edu/biosciaviancog Part of the Animal Studies Commons, Behavior and Ethology Commons, Cognition and Perception Commons, Forest Sciences Commons, Ornithology Commons, and the Other Psychology Commons This Article is brought to you for free and open access by the Center for Avian Cognition at DigitalCommons@University of Nebraska - Lincoln. It has been accepted for inclusion in Avian Cognition Papers by an authorized administrator of DigitalCommons@University of Nebraska - Lincoln. digitalcommons.unl.edu Optimal Foraging Theory and the Psychology of Learning Alan C. Kamil Departments of Psychology and Zoology University of Massachusetts Amherst, Massachusetts 01003 Synopsis The development of optimization theory has made important contri- butions to the study of animal behavior. But the optimization approach needs to be integrated with other methods of ethology and psychology. For example, the ability to learn is an important component of efficient foraging behavior in many species, and the psychology of animal learn- ing could contribute substantially to testing and extending the predic- tions of optimal foraging theory. Introduction When the animal behavior literature of the 1960s is compared with the literature of today, it is apparent that a revolution has taken place. Many of the phenomena of behavioral ecology and sociobiology that are taken for granted today, that are presented in undergraduate text- books (e.g., Krebs and Davies, 1981), would have seemed implausible just 15 to 20 years ago.
    [Show full text]
  • ABSTRACT FAVREAU, JORIE M. the Effects Of
    ABSTRACT FAVREAU, JORIE M. The effects of food abundance, foraging rules and cognitive abilities on local animal movements. (Under the direction of Roger A. Powell.) Movement is nearly universal in the animal kingdom. Movements of animals influence not only themselves but also plant communities through processes such as seed dispersal, pollination, and herbivory. Understanding movement ecology is important for conserving biodiversity and predicting the spread of diseases and invasive species. Three factors influence nearly all movement. First, most animals move to find food. Thus, foraging dictates, in part, when and where to move. Second, animals must move by some rule even if the rule is “move at random.” Third, animals’ cognitive capabilities affect movement; even bees incorporate past experience into foraging. Although other factors such as competition and predation may affect movement, these three factors are the most basic to all movement. I simulated animal movement on landscapes with variable patch richness (amounts of food per food patch), patch density (number of patches), and variable spatial distributions of food patches. From the results of my simulations, I formulated hypotheses about the effects of food abundance on animal movement in nature. I also resolved the apparent paradox of real animals’ movements sometimes correlating positively and sometimes negatively with food abundance. I simulated variable foraging rules belonging to 3 different classes of rules (when to move, where to move, and the scale at which to assess the landscape). Simulating foraging rules demonstrated that variations in richness and density tend to have the same effects on movements, regardless of foraging rules. Still, foraging rules affect the absolute distance and frequency of movements.
    [Show full text]
  • Exploitative Interactions: Predation,Herbivory, Parasitism, and Disease Chapter 14
    Exploitative Interactions: Predation,Herbivory, Parasitism, and Disease Chapter 14 1 Copyright © The McGraw-Hill Companies, Inc. Permission required for reproduction or display. Introduction • Exploitation: Interaction between populations that enhances fitness of one individual while reducing fitness of the exploited individual. Predators kill and consume other organisms. Parasites live on host tissue and reduce host fitness, but do not generally kill the host. Parasitoid is an insect larva that consumes the host. Pathogens induce disease. http://www.youtube.com/watch?v=IgrOK_831DY&feature=related http://www.colbertnation.com/the-colbert-report-videos/257752/december-07-2009/craziest-f--king-thing-i-ve-ever-heard---tongue-eating-parasite Wasps on a hornworm – insides are gone!!! 2 Complex Interactions • There are parasites that alter host behavior They’re pretty cool!!! http://www.youtube.com/watch?v=f5UzztCns-Y http://www.youtube.com/watch?v=4PB4SjX8QkA http://www.youtube.com/watch ?v=vMG- http://www.youtube.com/watch?v=EWB_COSUXMwLWyNcAs&feature=related 3 More examples! • The rabies virus increases saliva production and makes the infected host aggressive. When a rabid animal bites a host the virus is spread via saliva in the wound. • Toxiplasma gondii causes infected rodents to specifically lose their inborn aversion to cat pheromones. Infected cats in turn spread toxiplasma through their droppings. People infected with toxiplasma also exhibit behavioral changes, particularly a decrease in "novelty seeking". • http://www.youtube.com/watch?v=nEyIZLQewX8 http://www.youtube.com/watch?v=5qHNoTZMz6w&NR=1 • • Grasshoppers infected with the hairworm (Spinochordodes tellinii • become more likely to jump into water where the hair worm reproduces.
    [Show full text]
  • Optimal Foraging: Some Theoretical Explorations Eric Charnov
    University of New Mexico UNM Digital Repository Biology Faculty & Staff ubP lications Scholarly Communication - Departments 2-24-2006 Optimal Foraging: Some Theoretical Explorations Eric Charnov Gordon H. Orians Follow this and additional works at: https://digitalrepository.unm.edu/biol_fsp Part of the Biology Commons Recommended Citation Charnov, Eric and Gordon H. Orians. "Optimal Foraging: Some Theoretical Explorations." (2006). https://digitalrepository.unm.edu/biol_fsp/45 This Book is brought to you for free and open access by the Scholarly Communication - Departments at UNM Digital Repository. It has been accepted for inclusion in Biology Faculty & Staff ubP lications by an authorized administrator of UNM Digital Repository. For more information, please contact [email protected]. OPTIMAL FORAGING: SOME THEORETICAL EXPLORATIONS by Eric L. Charnov † Center for Quantitative Science University of Washington, Seattle, WA 98195 and Institute of Animal Resource Ecology University of British Columbia Vancouver 8, Canada and Gordon H. Orians Department of Zoology University of Washington, Seattle, WA 98195 1973 † Present Address: Department of Biology, University of Utah, Salt Lake City, UT INTRODUCTION This book had its genesis in a rather disorganized and poorly conceived lecture on optimal foraging theory that one of us (GHO) gave to an advanced ecology class during the winter of 1971. The deficiencies in that treatment, combined with the obvious potential of an improved conceptual- ization and analysis of the problem, led to the formation of a small seminar on optimal foraging theory attended by Charles Fowler, Nolan Pearson and ourselves. This seminar, which extended over two academic quarters, produced the basic fine-grained foraging models and some hints about wider applications of the results.
    [Show full text]
  • Intraspecific Competition Affects the Strength of Individual Specialization: an Optimal Diet Theory Method
    Evolutionary Ecology Research, 2005, 7: 993–1012 Intraspecific competition affects the strength of individual specialization: an optimal diet theory method Richard Svanbäck1,2* and Daniel I. Bolnick3,4 1Department of Ecology and Environmental Science, Umeå University, SE-901 87 Umeå, Sweden, 2Department of Limnology, Evolutionary Biology Centre, Uppsala University, Norbyv. 20, SE-752 36 Uppsala, Sweden, 3Section of Evolution and Ecology, Center for Population Biology, Storer Hall, University of California, Davis, CA 95616, USA and 4Integrative Biology, University of Texas at Austin, 1 University Station, C0930, Austin, TX 78712-0253, USA ABSTRACT Question: Why would individuals that inhabit the same environment choose to feed on different subsets of the available resources? Mathematical method: We outline a flexible model that combines phenotypic variation with optimal diet theory and population dynamics. We then apply this model to investigate the role of different types of trade-offs, phenotype diversity and level of competition in determining the degree of individual specialization. Key assumptions: The foragers in the model are omniscient and maximize energy intake per time unit. Conclusion: Numerical simulations match empirical observations that changes in population density can alter the degree of individual specialization. Forager density and phenotypic variation affected prey densities, which in turn affected forager diet breadth and fitness (energy income). We propose that this feedback can explain the empirical relationship between forager density and the degree of individual specialization in the forager population. Keywords: density dependence, frequency dependence, individual specialization, inter- individual variation, intra-population variation, niche breadth. INTRODUCTION Many apparently generalist populations are in fact composed of relatively specialized individuals (Bolnick et al., 2003).
    [Show full text]
  • Foraging Activities of Eastern Chipmunks (Tamias Striatus): Food Acquisition and Cache Defense
    FORAGING ACTIVITIES OF EASTERN CHIPMUNKS (TAMIAS STRIATUS): FOOD ACQUISITION AND CACHE DEFENSE By Corey J Santorello Optimal foraging theory was developed as a theoretical framework for understanding the evolution of feeding strategies. It states that animals forage in a way that will maximize their net energy intake per unit time, thereby maximizing their individual fitness. A behavior whereby animals store surplus food that potentially can be consumed later is called caching. The eastern chipmunk (Tamias striatus) caches food in larder hoards and scatter hoards throughout the spring, summer, and fall. During each season I would observe eastern chipmunk activities. To construct a preliminary time budget of chipmunk food acquisition and cache defensive behaviors, I observed eastern chipmunks throughout their period of above- ground activity for several hours each day. The study was conducted on a 4-ha plot in Hartman Creek State Park located north of Hartman Lake near Waupaca, Wisconsin. I live trapped T. striatus from late May to early June to uniquely mark individuals for focal observations. I conducted observations on all individuals (both marked and unmarked) from early June through October during 2013 and 2014. Four behaviors that I recorded were territorial/alarm calling, foraging, expelling conspecifics from a territory, and scanning for conspecifics or predators. Including all individuals (marked and unmarked) from both years of the study, linear analysis of categorical data revealed a difference in the distributions of behaviors across months and between years. The month*year interaction was also significant. Using the marked male and female data from the 2014 field season, I looked at the difference in distribution between behaviors for sex and month.
    [Show full text]
  • Influence of Predation on Feeding and Giving-Up Density of Forest Rodents
    INFLUENCE OF PREDATION ON FEEDING AND GIVING-UP DENSITY OF FOREST RODENTS A thesis submitted to the Kent State University Honors College in partial fulfillment of the requirements for University Honors by Morgan Hirsh May, 2020 Thesis written by Morgan Hirsh Approved by ________________________________________________________________, Advisor _____________________________________, Chair, Department of Biological Sciences Accepted by _____________________________________________________, Dean, Honors College ii TABLE OF CONTENTS LIST OF FIGURES…..…………………………………………………………….....…..iv ACKNOWLEDGMENT…………………….……………………………………….....…v CHAPTER I. INTRODUCTION……………………..………………………….………1 II. METHODS………….……………..……………………………….……12 Study Sites……………………………….……………………………….12 Focal Organisms………………………..……….……………………….14 Design of Experiments in this Study………..……….…………………….14 Game Camera Analysis………...………..……………………………….18 Statistical Analysis………………..……..……………………………….19 III. RESULTS……………………………………….……………….………20 IV. DISCUSSION…..……………………………….……………….………27 Sampling Methods……………………..…………...…………………….29 Effects of Predator Cues and Food Availability………………..……..….30 Potential Sources of Error in this Study……..………...………………….31 Future Studies………………..……...…..……………………………….32 Implications of this Study…………………………...……………………35 REFERENCES…………………………………………………….…………………….36 iii LIST OF FIGURES Figure 1: Study Sites for All Experiments…………………………………………………13 Figure 2: Diagram of Experimental Setup of Experiments 1, 2, & 3………….…………..16 Figure 3. Feeding Experiment #1 – 15 December – 23
    [Show full text]
  • Focusing the Metaphor: Plant Root Foraging Behaviour
    Opinion Focusing the metaphor: plant root foraging behaviour Gordon G. McNickle, Colleen Cassady St. Clair and James F. Cahill Jr Department of Biological Sciences, University of Alberta, Edmonton, AB T6G 2E9, Canada Many authors assert that plants exhibit complex beha- animal behavioural ecology. We will focus primarily on the viours which are analogous to animal behaviour. How- ultimate causes of root foraging behaviour (Box 1), because ever, plant ecologists rarely root these studies in a the proximate causes of root foraging are reviewed else- conceptual foundation as fertile as that used by animal where (Box 2) [12,23–29]. Also following the traditions of behaviourists. Here we adapt the optimality principles animal behavioural ecology, we focus on the behaviour of that facilitated numerous advances in the study of individuals rather than interspecific variation (Box 1). Our animal foraging behaviour to create one possible frame- discussions are centered on the ‘general’ biology of plants work for plant foraging behaviour. Following the and animals, but this does not rule out the potential for traditions of animal foraging ecology, we discuss issues ‘atypical’ taxa to provide critical insights. We begin our of search and handling in relation to plant root foraging. discussion of root foraging by contrasting aspects of the We also develop a basic plant-centered model that basic biology of plants and animals, which will necessarily incorporates modular growth and foraging currencies affect how plants exhibit behaviour. relevant to plant growth. We conclude by demonstrating how this new foundation could be adapted to address How do plants and animals express behaviour? five fundamental questions in plant foraging ecology.
    [Show full text]
  • Prey Removal in Cotton Crops Next to Woodland Reveals Periodic Diurnal and Nocturnal Invertebrate Predation Gradients from the Crop Edge by Birds and Bats Heidi L
    www.nature.com/scientificreports OPEN Prey removal in cotton crops next to woodland reveals periodic diurnal and nocturnal invertebrate predation gradients from the crop edge by birds and bats Heidi L. Kolkert *, Rhiannon Smith , Romina Rader & Nick Reid Factors infuencing the efcacy of insectivorous vertebrates in providing natural pest control services inside crops at increasing distances from the crop edge are poorly understood. We investigated the identity of vertebrate predators (birds and bats) and removal of sentinel prey (mealworms and beetles) from experimental feeding trays in cotton crops using prey removal trials, camera traps and observations. More prey was removed during the day than at night, but prey removal was variable at the crop edge and dependent on the month (refecting crop growth and cover) and time of day. Overall, the predation of mealworms and beetles was 1-times and 13-times greater during the day than night, respectively, with predation on mealworms 3–5 times greater during the day than night at the crop edge compared to 95 m inside the crop. Camera traps identifed many insectivorous birds and bats over crops near the feeding trays, but there was no evidence of bats or small passerines removing experimental prey. A predation gradient from the crop edge was evident, but only in some months. This corresponded to the foraging preferences of open-space generalist predators (magpies) in low crop cover versus the shrubby habitat preferred by small passerines, likely facilitating foraging away from the crop edge later in the season. Our results are in line with Optimal Foraging Theory and suggest that predators trade-of foraging behaviour with predation risk at diferent distances from the crop edge and levels of crop cover.
    [Show full text]
  • How Much Is Explained by the Optimal Foraging Theory?
    [Downloaded free from http://www.conservationandsociety.org on Friday, January 13, 2012, IP: 129.79.203.177] || Click here to download free Android application for this journal Conservation and Society 9(3): 236-246, 2011 Article Foraging Behaviour of Brazilian Riverine and Coastal Fishers: How Much is Explained by the Optimal Foraging Theory? Priscila F.M. Lopesa,b #, Mariana Clauzeta,c, Natalia Hanazakia,d, Milena Ramiresa, Renato A.M. Silvanoa,e and Alpina Begossia,f aFisheries and Food Institute (FIFO), Campinas, SP, Brazil bDepto. de Botânica, Ecologia e Zoologia, CB, UFRN, Natal, RN, Brazil cPós Graduação em Desenvolvimento e Sociedade, UNICAMP, Campinas, SP, Brazil dDepto. de Ecologia e Zoologia, CCB, UFSC, Florianópolis, SC, Brazil eDepto. de Ecologia, UFRGS, Porto Alegre, RS, Brazil fCAPESCA (LEPAC, PREAC) and CMU (UNICAMP), Campinas, SP, Brazil #Corresponding author. E-mail: [email protected] Abstract Optimal Foraging Theory (OFT) is here applied to analyse the foraging behaviour of Brazilian artisanal fi shers of the Atlantic coast (Itacuruçá and São Paulo Bagre villages) and of the inland Amazonian region (Jarauá and Ebenezer villages). Two OFT predictions are tested. Hypotheis1: A fi sher who travels to more distant sites should return with more fi sh, and Hypothesis 2: The further a fi sher goes, the longer s/he should stay fi shing in a patch. OFT did not explain fi shers’ behaviour (non-signifi cant regressions for coastal villages) or explain it in specifi c seasons (low water season for one Amazonian village: H1 r2=24.1; H2 r2=37.2) and in specifi c habitats (e.g., lakes and backwaters in Jarauá village, Lakes: H1 r2=13.5; H2 r2=24.0; Backwaters: H1 r2=34.4; H2 r2=46.5).
    [Show full text]
  • Ecological Foraging Models As Inspiration for Optimized Recycling Systems in the Circular Economy ⁎ Erinn G
    Resources, Conservation & Recycling xxx (xxxx) xxx–xxx Contents lists available at ScienceDirect Resources, Conservation & Recycling journal homepage: www.elsevier.com/locate/resconrec Full length article Ecological foraging models as inspiration for optimized recycling systems in the circular economy ⁎ Erinn G. Ryena, , Gabrielle Gaustadb, Callie W. Babbittb, Gregory Babbittc a Wells College, Susan Wray Sullivan '51 and Pike H. Sullivan Center for Business and Entrepreneurship, 170 Main Street, Aurora, NY 13026, United States b RIT Golisano Institute for Sustainability, Sustainability Hall, 190 Lomb Memorial Drive, Rochester, NY 14623, United States c RIT College of Science, Thomas Gosnell Hall, Room 08-1334, 85 Lomb Memorial Drive, Rochester, NY 14623, United States ARTICLE INFO ABSTRACT Keywords: Converting the consumer electronic product system from a linear system to a circular one has a number of key Optimal foraging theory challenges. A mismatch is observed between the rapidly changing devices entering the market and the slowly Consumer electronics evolving voluntary design policies, regulations, and e-waste processing business strategies. Conventional elec- Circular economy tronic waste (e-waste) management systems were historically optimized to extract high-value components from E-waste large products that were relatively easy to disassemble, but the products now entering the waste stream are more Recycling often light-weight mobile devices that are typically not covered by regulations or do not contain as high a Nutrient cycling concentration of valuable metals. This article proposes that transformations in the e-waste processing system aimed at closing the material loop should look to the circular processes found in natural ecosystems, which have evolved to optimize closed loop nutrient cycling.
    [Show full text]