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Foraging

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Grizzly bear (Ursus arctos horribilis) mother and cubs foraging in Denali National Park, Alaska.
Grizzly bear (Ursus arctos horribilis) mother and cubs foraging in Denali National Park, Alaska.

Foraging is searching for wild food resources. It affects an animal's fitness because it plays an important role in an animal's ability to survive and reproduce.[1] Foraging theory is a branch of behavioral ecology that studies the foraging behavior of animals in response to the environment where the animal lives.

Behavioral ecologists use economic models and categories to understand foraging; many of these models are a type of optimal model. Thus foraging theory is discussed in terms of optimizing a payoff from a foraging decision. The payoff for many of these models is the amount of energy an animal receives per unit time, more specifically, the highest ratio of energetic gain to cost while foraging.[2] Foraging theory predicts that the decisions that maximize energy per unit time and thus deliver the highest payoff will be selected for and persist. Key words used to describe foraging behavior include resources, the elements necessary for survival and reproduction which have a limited supply, predator, any organism that consumes others, prey, an organism that is eaten in part or whole by another,[1] and patches, concentrations of resources.

Behavioral ecologists first tackled this topic in the 1960s and 1970s. Their goal was to quantify and formalize a set of models to test their null hypothesis that animals forage randomly. Important contributions to foraging theory have been made by:

Factors influencing foraging behavior

A troop of olive baboons (Papio anubis) foraging in Laikipia, Kenya. Young primates learn from elders in their group about proper foraging.
A troop of olive baboons (Papio anubis) foraging in Laikipia, Kenya. Young primates learn from elders in their group about proper foraging.

Several factors affect an animal's ability to forage and acquire profitable resources.

Learning

Learning is defined as an adaptive change or modification of a behavior based on a previous experience.[3] Since an animal's environment is constantly changing, the ability to adjust foraging behavior is essential for maximization of fitness. Studies in social insects have shown that there is a significant correlation between learning and foraging performance.[3]

In nonhuman primates, young individuals learn foraging behavior from their peers and elders by watching other group members forage and by copying their behavior.[4] Observing and learning from other members of the group ensure that the younger members of the group learn what is safe to eat and become proficient foragers.

One measure of learning is 'foraging innovation'—an animal consuming new food, or using a new foraging technique in response to their dynamic living environment.[5] Foraging innovation is considered learning because it involves behavioral plasticity on the animal's part. The animal recognizes the need to come up with a new foraging strategy and introduce something it has never used before to maximize his or her fitness (survival). Forebrain size has been associated with learning behavior. Animals with larger brain sizes are expected to learn better.[5] A higher ability to innovate has been linked to larger forebrain sizes in North American and British Isle birds according to Lefebvre et al. (1997).[6] In this study, bird orders that contained individuals with larger forebrain sizes displayed a higher amount of foraging innovation. Examples of innovations recorded in birds include following tractors and eating frogs or other insects killed by it and using swaying trees to catch their prey.[5]

Another measure of learning is spatio-temporal learning (also called time-place learning), which refers to an individual's ability to associate the time of an event with the place of that event.[7] This type of learning has been documented in the foraging behaviors of individuals of the stingless bee species Trigona fulviventris.[7] Studies showed that T. fulviventris individuals learned the locations and times of feeding events, and arrived to those locations up to thirty minutes before the feeding event in anticipation of the food reward.[7]

Genetics

A European honey bee extracts nectar. According to Hunt (2007), two genes have been associated with the sugar concentration of the nectar honey bees collect.
A European honey bee extracts nectar. According to Hunt (2007), two genes have been associated with the sugar concentration of the nectar honey bees collect.

Foraging behavior can also be influenced by genetics. The genes associated with foraging behavior have been widely studied in honeybees with reference to the following; onset of foraging behavior, task division between foragers and workers, and bias in foraging for either pollen or nectar.[5][8] Honey bee foraging activity occurs both inside and outside the hive for either pollen or nectar. Similar behavior is seen in many social wasps, such as the species Apoica flavissima. Studies using quantitative trait loci (QTL) mapping have associated the following loci with the matched functions; Pln-1 and Pln-4 with onset of foraging age, Pln-1 and 2 with the size of the pollen loads collected by workers, and Pln-2 and pln-3 were shown to influence the sugar concentration of the nectar collected.[8]

Some behaviors are more dominant than others. In a study using fruit fly larvae (Drosophila melanogaster), there were two types of foraging strategies: rovers and sitters.[9] Rovers used the strategy of moving across multiple patches in search for food, while sitters remained in one patch with no inclination to go searching. Both of these strategies are polymorphic traits that naturally occur within the larval stages of fruit flies. The gene responsible for major effects on foraging behavior in Drosophila melanogaster larvae is the chaser (Csr) gene.[10] During the study, homozygous strains were produced by crossing the rovers with rovers and sitters with sitters.[9] Using the method of hybridization - crossing rovers with sitters - all of the offspring displayed the rover foraging behavior, thus demonstrating that it is an allele of complete dominance.

Presence of predators

The presence of predators while a (prey) animal is foraging affects its behaviour. In general, foragers balance the risk of predation with their needs, thus deviating from the foraging behaviour that would be expected in the absence of predators.[11] An example of this balanced risk can be observed in the foraging behavior of A. longimana.[12]

Parasitism

Parasitism can affect the way in which animals forage. For an organism to counteract the procurement of a parasite, they may display avoidance towards certain areas where parasites have previously been discovered.[13] This avoidance behavior is a trade-off mechanism where the loss of time and energy in avoiding food patches is traded with the decrease in risk of contracting a parasite.[14] Adaptations in diet also help in the prevention of parasitic infection. By avoiding foods that have high potential for parasitic contamination, as well as including food items that contain anti-parasitic properties in the diet. These anti-parasitic properties can be used in a self-medicating way, either prophylactically or therapeutically.[13]

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Olive baboon

Olive baboon

The olive baboon, also called the Anubis baboon, is a member of the family Cercopithecidae Old World monkeys. The species is the most wide-ranging of all baboons, being native to 25 countries throughout Africa, extending from Mali eastward to Ethiopia and Tanzania. Isolated populations are also present in some mountainous regions of the Sahara. It inhabits savannahs, steppes, and forests. The common name is derived from its coat colour, which is a shade of green-grey at a distance. A variety of communications, vocal and non-vocal, facilitate a complex social structure.

Learning

Learning

Learning is the process of acquiring new understanding, knowledge, behaviors, skills, values, attitudes, and preferences. The ability to learn is possessed by humans, animals, and some machines; there is also evidence for some kind of learning in certain plants. Some learning is immediate, induced by a single event, but much skill and knowledge accumulate from repeated experiences. The changes induced by learning often last a lifetime, and it is hard to distinguish learned material that seems to be "lost" from that which cannot be retrieved.

Time-Place learning

Time-Place learning

Time-place learning (TPL) is the process by which animals link events with both the location and time of occurrence. It enables them to decide which locations to visit or to avoid based on previous experience and knowledge of the current time of day. TPL presumably allows animals to maximize their chances of finding resources and avoiding predators, increasing survival chances. TPL requires spatial memory and a sense of time. The latter may be based on external time-cues (Zeitgebers), or internally generated circadian rhythms. TPL may fundamentally underlie episodic memory.

Trigona fulviventris

Trigona fulviventris

Trigona fulviventris, known by the common names culo-de-vaca, culo-de-señora, mu'ul-kab, culo-de-buey, and culo-de-vieja, is a species of stingless bee found in Mexico and neotropical regions of Central and South America. It is one of the largest and most widespread bees of its genus. They exhibit complex foraging behaviors by integrating spatio-temporal learning and flower scents. T. fulviventris has traditionally been observed to abstain from aggressive behavior with other species; however, more recent analyses have shown that T. fulviventris emit pheromones that act as attack signals particularly when related individuals are captured by predators.

Western honey bee

Western honey bee

The western honey bee or European honey bee is the most common of the 7–12 species of honey bees worldwide. The genus name Apis is Latin for "bee", and mellifera is the Latin for "honey-bearing" or "honey carrying", referring to the species' production of honey.

Nectar

Nectar

Nectar is a sugar-rich liquid produced by plants in glands called nectaries or nectarines, either within the flowers with which it attracts pollinating animals, or by extrafloral nectaries, which provide a nutrient source to animal mutualists, which in turn provide herbivore protection. Common nectar-consuming pollinators include mosquitoes, hoverflies, wasps, bees, butterflies and moths, hummingbirds, honeyeaters and bats. Nectar plays a crucial role in the foraging economics and evolution of nectar-eating species; for example, nectar foraging behavior is largely responsible for the divergent evolution of the African honey bee, A. m. scutellata and the western honey bee.

Apoica flavissima

Apoica flavissima

Apoica flavissima is a paper wasp found primarily in South America. The species is distinguishable by its light coloring, unique single comb nests, and nocturnal nature. A notable feature of this species is the size dimorphism between queens and workers. Unlike most Vespidae wasps, Apocia flavissima queens are smaller than their worker counterparts which results in unique intraspecies relationships.

Drosophila melanogaster

Drosophila melanogaster

Drosophila melanogaster is a species of fly in the family Drosophilidae. The species is often referred to as the fruit fly or lesser fruit fly, or less commonly the "vinegar fly" or "pomace fly". Starting with Charles W. Woodworth's 1901 proposal of the use of this species as a model organism, D. melanogaster continues to be widely used for biological research in genetics, physiology, microbial pathogenesis, and life history evolution. As of 2017, five Nobel Prizes have been awarded to drosophilists for their work using the insect.

Predation

Predation

Predation is a biological interaction where one organism, the predator, kills and eats another organism, its prey. It is one of a family of common feeding behaviours that includes parasitism and micropredation and parasitoidism. It is distinct from scavenging on dead prey, though many predators also scavenge; it overlaps with herbivory, as seed predators and destructive frugivores are predators.

Parasitism

Parasitism

Parasitism is a close relationship between species, where one organism, the parasite, lives on or inside another organism, the host, causing it some harm, and is adapted structurally to this way of life. The entomologist E. O. Wilson has characterised parasites as "predators that eat prey in units of less than one". Parasites include single-celled protozoans such as the agents of malaria, sleeping sickness, and amoebic dysentery; animals such as hookworms, lice, mosquitoes, and vampire bats; fungi such as honey fungus and the agents of ringworm; and plants such as mistletoe, dodder, and the broomrapes.

Zoopharmacognosy

Zoopharmacognosy

Zoopharmacognosy is a behaviour in which non-human animals self-medicate by selecting and ingesting or topically applying plants, soils, insects, and psychoactive drugs to prevent or reduce the harmful effects of pathogens, toxins, and even other animals. The term derives from Greek roots zoo ("animal"), pharmacon, and gnosy ("knowing").

Types of foraging

Foraging can be categorized into two main types. The first is solitary foraging, when animals forage by themselves. The second is group foraging. Group foraging includes when animals can be seen foraging together when it is beneficial for them to do so (called an aggregation economy) and when it is detrimental for them to do so (called a dispersion economy).

Solitary foraging

Solitary foraging includes the variety of foraging in which animals find, capture and consume their prey alone. Individuals can manually exploit patches or they can use tools to exploit their prey. For example, Bolas spiders attack their prey by luring them with a scent identical to the female moth's sex pheromones.[15] Animals may choose to forage on their own when the resources are abundant, which can occur when the habitat is rich or when the number of conspecifics foraging are few. In these cases there may be no need for group foraging.[16] In addition, foraging alone can result in less interaction with other foragers, which can decrease the amount of competition and dominance interactions an animal deals with. It will also ensure that a solitary forager is less conspicuous to predators.[17] Solitary foraging strategies characterize many of the phocids (the true seals) such as the elephant and harbor seals. An example of an exclusive solitary forager is the South American species of the harvester ant, Pogonomyrmex vermiculatus.[18]

Search Behavior

Animals can typically be classified into two categories by their pattern of movement exhibited through foraging behaviors. These categories are "cruise" searchers and "ambush" searchers.[19] Cruise searchers forage by continuously hunting for prey at the outer borders of the area being searched, while ambush searchers forage by sitting and waiting. They remain motionless for long durations as they wait on the prey to pass by, therefore initiating the ambusher to attack.[20]

Tool use in solitary foraging

A bonobo fishing for termites with a tool, a prepared stick
A bonobo fishing for termites with a tool, a prepared stick

Some examples of tool use include dolphins using sponges to feed on fish that bury themselves in the sediment,[21] New Caledonian crows that use sticks to get larvae out of trees,[22] and chimpanzees that similarly use sticks to capture and consume termites.[23]

Solitary foraging and optimal foraging theory

The theory scientists use to understand solitary foraging is called optimal foraging theory. Optimal foraging theory (OFT) was first proposed in 1966, in two papers published independently, by Robert MacArthur and Eric Pianka,[24] and by J. Merritt Emlen.[25] This theory argues that because of the key importance of successful foraging to an individual's survival, it should be possible to predict foraging behavior by using decision theory to determine the behavior that an "optimal forager" would exhibit. Such a forager has perfect knowledge of what to do to maximize usable food intake. While the behavior of real animals inevitably departs from that of the optimal forager, optimal foraging theory has proved very useful in developing hypotheses for describing real foraging behavior. Departures from optimality often help to identify constraints either in the animal's behavioral or cognitive repertoire, or in the environment, that had not previously been suspected. With those constraints identified, foraging behavior often does approach the optimal pattern even if it is not identical to it. In other words, we know from optimal foraging theory that animals are not foraging randomly even if their behavior doesn't perfectly match what is predicted by OFT.

Versions of OFT

There are many versions of optimal foraging theory that are relevant to different foraging situations. These models generally possess the following components according to Stephens et al. 2007;

  • Currency: an objective function, what we want to maximize,[26] in this case energy over time as a currency of fitness
  • Decision: set of choices under the organism's control,[26] or the decisions that the organism exhibits
  • Constraints: "an organism's choices are constrained by genetics, physiology neurology, morphology and the laws of chemistry and physics"[26]

Some of these versions include:

The optimal diet model, which analyzes the behavior of a forager that encounters different types of prey and must choose which to attack. This model is also known as the prey model or the attack model. In this model the predator encounters different prey items and decides whether to spend time handling or eating the prey. It predicts that foragers should ignore low profitability prey items when more profitable items are present and abundant.[26] The objective of this model is to identify the choice that will maximize fitness. How profitable a prey item is depends on ecological variables such as the time required to find, capture, and consume the prey in addition to the energy it provides. It is likely that an individual will settle for a trade off between maximizing the intake rate while eating and minimising the search interval between prey.[1]

Patch selection theory, which describes the behavior of a forager whose prey is concentrated in small areas known as patches with a significant travel time between them. The model seeks to find out how much time an individual will spend on one patch before deciding to move to the next patch. To understand whether an animal should stay at a patch or move to a new one, think of a bear in a patch of berry bushes. The longer a bear stays at the patch of berry bushes the less berries there are for that bear to eat. The bear must decide how long to stay and thus when to leave that patch and move to a new patch. Movement depends on the travel time between patches and the energy gained from one patch versus another.[26] This is based on the marginal value theorem.

Central place foraging theory is a version of the patch model. This model describes the behavior of a forager that must return to a particular place to consume food, or perhaps to hoard food or feed it to a mate or offspring. Chipmunks are a good example of this model. As travel time between the patch and their hiding place increased, the chipmunks stayed longer at the patch.

In recent decades, optimal foraging theory has often been applied to the foraging behavior of human hunter-gatherers. Although this is controversial, coming under some of the same kinds of attack as the application of sociobiological theory to human behavior, it does represent a convergence of ideas from human ecology and economic anthropology that has proved fruitful and interesting.

Group foraging

Group foraging is when animals find, capture and consume prey in the presence of other individuals. In other words, it is foraging when success depends not only on your own foraging behaviors but the behaviors of others as well.[26] The biological behavior also inspired the development of Artificial Intelligence algorithms that try to follow the main concepts of group foraging by autonomous agents.[27] An important note here is that group foraging can emerge in two types of situations. The first situation is frequently thought of and occurs when foraging in a group is beneficial and brings greater rewards known as an aggregation economy.[1] The second situation occurs when a group of animals forage together but it may not be in an animal's best interest to do so known as a dispersion economy. Think of a cardinal at a bird feeder for the dispersion economy. We might see a group of birds foraging at that bird feeder but it is not in the best interest of the cardinal for any of the other birds to be there too. The amount of food the cardinal can get from that bird feeder depends on how much it can take from the bird feeder but also depends on how much the other birds take as well.

A male northern cardinal at a bird feeder.  Birds feeding at a bird feeder is an example of a dispersion economy. This is when it may not be in an animal's best interest to forage in a group.
A male northern cardinal at a bird feeder. Birds feeding at a bird feeder is an example of a dispersion economy. This is when it may not be in an animal's best interest to forage in a group.

In red harvester ants, the foraging process is divided between three different types of workers: nest patrollers, trail patrollers, and foragers. These workers can utilize many different methods of communicating while foraging in a group, such as guiding flights, scent paths, and "jostling runs", as seen in the eusocial bee Melipona scutellaris.[28]

Chimpanzees in the Taï Forest in Côte d'Ivoire also engage in foraging for meats when they can, which is achieved through group foraging. Positive correlation has been observed between the success of the hunt and the size of the foraging group. The chimps have also been observed implying rules with their foraging, where there is a benefit to becoming involved through allowing successful hunters first access to their kills.[29][30][31]

Cost and benefits of group foraging

Female lions make foraging decisions and more specifically decisions about hunting group size with protection of their cubs and territory defense in mind.[32]
Female lions make foraging decisions and more specifically decisions about hunting group size with protection of their cubs and territory defense in mind.[32]

As already mentioned, group foraging brings both costs and benefits to the members of that group. Some of the benefits of group foraging include being able to capture larger prey,[32] being able to create aggregations of prey,[33] being able to capture prey that are difficult or dangerous and most importantly reduction of predation threat.[26] With regard to costs, however, group foraging results in competition for available resources by other group members. Competition for resources can be characterized by either scramble competition whereby each individual strives to get a portion of the shared resource, or by interference competition whereby the presence of competitors prevents a forager's accessibility to resources.[1] Group foraging can thus reduce an animal's foraging payoff.[26]

Group foraging may be influenced by the size of a group. In some species like lions and wild dogs, foraging success increases with an increase in group size then declines once the optimal size is exceeded. A myriad number of factors affect the group sizes in different species. For example, lionesses (female lions) do not make decisions about foraging in a vacuum. They make decisions that reflect a balance between obtaining food, defending their territory and protecting their young. In fact, we see that lion foraging behavior does not maximize their energy gain. They are not behaving optimally with respect to foraging because they have to defend their territory and protect young so they hunt in small groups to reduce the risk of being caught alone.[32] Another factor that may influence group size is the cost of hunting. To understand the behavior of wild dogs and the average group size we must incorporate the distance the dogs run.[34]

Theorizing on hominid foraging during the Aurignacian Blades et al (2001) defined the forager performing the activity to the optimal efficiency when the individual is having considered the balance of costs for search and pursuit of prey in considerations of prey selection. Also in selecting an area to work within the individual would have had to decide the correct time to move to another location corresponding to perception of yield remaining and potential yields of any given area available. [35]

Foraging Arena Theory

A quantitative model that allows for the evaluation of trade-off decisions that occur in aquatic ecosystems.[36] 'Foraging arenas' are the areas in which a juvenile fish can forage closer to their home while also providing an easier escape from potential predators. This theory predicts that feeding activity should be dependent upon the density of juvenile fishes, and the risk of predation within the area. A balance between the growth and mortality of these juvenile fishes is reliant consequent to the duration of foraging performed by said juvenile fish.[37] These components vary with regards to the habitat.

Group foraging and the ideal free distribution

The theory scientists use to understand group foraging is called the Ideal free distribution. This is the null model for thinking about what would draw animals into groups to forage and how they would behave in the process. This model predicts that animals will make an instantaneous decision about where to forage based on the quality (prey availability) of the patches available at that time and will choose the most profitable patch, the one that maximizes their energy intake. This quality depends on the starting quality of the patch and the number of predators already there consuming the prey.[38]

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Tool use by animals

Tool use by animals

Tool use by animals is a phenomenon in which an animal uses any kind of tool in order to achieve a goal such as acquiring food and water, grooming, defence, communication, recreation or construction. Originally thought to be a skill possessed only by humans, some tool use requires a sophisticated level of cognition. There is considerable discussion about the definition of what constitutes a tool and therefore which behaviours can be considered true examples of tool use. A wide range of animals, including mammals, birds, fish, cephalopods, and insects, are considered to use tools.

Bonobo

Bonobo

The bonobo, also historically called the pygmy chimpanzee and less often the dwarf chimpanzee or gracile chimpanzee, is an endangered great ape and one of the two species making up the genus Pan, the other being the common chimpanzee. While bonobos are now recognized as a distinct species in their own right, they were initially thought to be a subspecies of chimpanzee due to the physical similarities between the two species. Taxonomically, the members of the chimpanzee/bonobo subtribe Panina are collectively termed panins.

Termite

Termite

Termites are a group of detritophagous eusocial insects which consume a wide variety of decaying plant material, generally in the form of wood, leaf litter, and soil humus. They are easily identified by the soft-bodied and typically unpigmented worker caste for which they have been colloquially termed "white ants"; however, they are not ants to which they are distantly related. About 2,972 extant species are currently described, 2,105 of which are members of the family Termitidae.

Optimal foraging theory

Optimal foraging theory

Optimal foraging theory (OFT) is a behavioral ecology model that helps predict how an animal behaves when searching for food. Although obtaining food provides the animal with energy, searching for and capturing the food require both energy and time. To maximize fitness, an animal adopts a foraging strategy that provides the most benefit (energy) for the lowest cost, maximizing the net energy gained. OFT helps predict the best strategy that an animal can use to achieve this goal.

Eric Pianka

Eric Pianka

Eric Rodger Pianka was an American herpetologist and evolutionary ecologist.

Decision theory

Decision theory

Decision theory is a branch of applied probability theory and analytic philosophy concerned with the theory of making decisions based on assigning probabilities to various factors and assigning numerical consequences to the outcome.

Cognition

Cognition

Cognition refers to "the mental action or process of acquiring knowledge and understanding through thought, experience, and the senses". It encompasses all aspects of intellectual functions and processes such as: perception, attention, thought, intelligence, the formation of knowledge, memory and working memory, judgment and evaluation, reasoning and computation, problem solving and decision making, comprehension and production of language. Imagination is also a cognitive process, it is considered as such because it involves thinking about possibilities. Cognitive processes use existing knowledge and discover new knowledge.

Marginal value theorem

Marginal value theorem

The marginal value theorem (MVT) is an optimality model that usually describes the behavior of an optimally foraging individual in a system where resources are located in discrete patches separated by areas with no resources. Due to the resource-free space, animals must spend time traveling between patches. The MVT can also be applied to other situations in which organisms face diminishing returns.

Central place foraging

Central place foraging

Central place foraging (CPF) theory is an evolutionary ecology model for analyzing how an organism can maximize foraging rates while traveling through a patch, but maintains the key distinction of a forager traveling from a home base to a distant foraging location rather than simply passing through an area or travelling at random. CPF was initially developed to explain how red-winged blackbirds might maximize energy returns when traveling to and from a nest. The model has been further refined and used by anthropologists studying human behavioral ecology and archaeology.

Mating

Mating

In biology, mating is the pairing of either opposite-sex or hermaphroditic organisms for the purposes of sexual reproduction. Fertilization is the fusion of two gametes. Copulation is the union of the sex organs of two sexually reproducing animals for insemination and subsequent internal fertilization. Mating may also lead to external fertilization, as seen in amphibians, fishes and plants. For most species, mating is between two individuals of opposite sexes. However, for some hermaphroditic species, copulation is not required because the parent organism is capable of self-fertilization (autogamy); for example, banana slugs.

Offspring

Offspring

In biology, offspring are the young creation of living organisms, produced either by a single organism or, in the case of sexual reproduction, two organisms. Collective offspring may be known as a brood or progeny in a more general way. This can refer to a set of simultaneous offspring, such as the chicks hatched from one clutch of eggs, or to all the offspring, as with the honeybee.

Hunter-gatherer

Hunter-gatherer

A traditional hunter-gatherer or forager is a human living an ancestrally derived lifestyle in which most or all food is obtained by foraging, that is, by gathering food from local sources, especially edible wild plants but also insects, fungi, honey, or anything safe to eat, and/or by hunting game, roughly as most animal omnivores do. Hunter-gatherer societies stand in contrast to the more sedentary agricultural societies, which rely mainly on cultivating crops and raising domesticated animals for food production, although the boundaries between the two ways of living are not completely distinct.

Source: "Foraging", Wikipedia, Wikimedia Foundation, (2023, March 13th), https://en.wikipedia.org/wiki/Foraging.

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References
  1. ^ a b c d e Danchin, E.; Giraldeau, L. & Cezilly, F. (2008). Behavioural Ecology. New York: Oxford University Press. ISBN 978-0-19-920629-2.
  2. ^ Hughes, Roger N, ed. (1989), Behavioural Mechanisms of Food Selection, London & New York: Springer-Verlag, p. v, ISBN 978-0-387-51762-9
  3. ^ a b Raine, N.E.; Chittka, L. (2008). "The correlation of learning speed and natural foraging success in bumble-bees'". Proceedings of the Royal Society B: Biological Sciences. 275 (1636): 803–08. doi:10.1098/rspb.2007.1652. PMC 2596909. PMID 18198141.
  4. ^ Rapaport, L.G.; Brown, G.R. (2008). "Social influences on foraging behavior in young nonhuman primates:learning what, where and how to eat". Evolutionary Anthropology: Issues, News, and Reviews. 17 (4): 189–201. doi:10.1002/evan.20180. S2CID 86010867.
  5. ^ a b c d Dugatkin, Lee Ann (2004). Principles of Animal Behavior.
  6. ^ Lefebvre, Louis; Patrick Whittle; Evan Lascaris; Adam Finkelstein (1997). "Feeding innovations and forebrain size in birds". Animal Behaviour. 53 (3): 549–60. doi:10.1006/anbe.1996.0330. S2CID 53146859.
  7. ^ a b c Murphy, Christina M.; Breed, Michael D. (2008-04-01). "Time-Place Learning in a Neotropical Stingless Bee, Trigona fulviventris Guérin (Hymenoptera: Apidae)". Journal of the Kansas Entomological Society. 81 (1): 73–76. doi:10.2317/JKES-704.23.1. ISSN 0022-8567. S2CID 86256384.
  8. ^ a b Hunt, G.J.; et al. (2007). "Behavioral genomics of honeybee foraging and nest defense". Naturwissenschaften. 94 (4): 247–67. Bibcode:2007NW.....94..247H. doi:10.1007/s00114-006-0183-1. PMC 1829419. PMID 17171388.
  9. ^ a b de Belle, J.S.; Hiliker, A.J.; Sokolowski, M.B. (1 September 1989). "Genetic localization of foraging (for): a major gene for larval behavior in Drosophila melanogaster". Genetics. 123 (1): 157–163. doi:10.1093/genetics/123.1.157. PMC 1203778. PMID 2509284 – via Oxford Academic.
  10. ^ Pereira, H S; MacDonald, D E; Hilliker, A J; Sokolowski, M B (1995-09-01). "Chaser (Csr), a new gene affecting larval foraging behavior in Drosophila melanogaster". Genetics. 141 (1): 263–270. doi:10.1093/genetics/141.1.263. ISSN 1943-2631. PMC 1206725. PMID 8536975.
  11. ^ Roch, S.; von Ammon, L.; Geist, J.; Brinker, A. (2018). "Foraging habits of invasive three-spined sticklebacks ( Gasterosteus aculeatus ) – impacts on fisheries yield in Upper Lake Constance". Fisheries Research. 204: 172–80. doi:10.1016/j.fishres.2018.02.014. S2CID 90936923.
  12. ^ Cruz-Rivera, Edwin; Hay, Mark E. (2000-01-01). "Can quantity replace quality? food choice, compensatory feeding, and fitness of marine mesograzers". Ecology. 81 (1): 201–19. doi:10.1890/0012-9658(2000)081[0201:CQRQFC]2.0.CO;2. hdl:1853/36755.
  13. ^ a b Hutchings, Michael R.; Athanasiadou, Spiridoula; Kyriazakis, Ilias; Gordon, Iain J. (11 August 2008). "Can animals use foraging behaviour to combat parasites?". Proceedings of the Nutrition Society. 62 (2): 361–370. doi:10.1079/PNS2003243. ISSN 1475-2719. PMID 14506883. S2CID 26061375.
  14. ^ Hutchings, Michael R.; Judge, Johanna; Gordon, Iain J.; Athanasiadou, Spiridoula; Kyriazakis, Ilias (2006). "Use of trade-off theory to advance understanding of herbivore–parasite interactions". Mammal Review. 36 (1): 1–16. doi:10.1111/j.1365-2907.2006.00080.x. ISSN 1365-2907.
  15. ^ "Foraging Strategies | Encyclopedia.com". www.encyclopedia.com. Retrieved 2021-09-26.
  16. ^ Riedman, Marianne (1990). The pinnipeds: seals, sea lions, and walruses. Berkeley: University of California Press. ISBN 978-0-520-06497-3. ISBN The pinnipeds: seals, sea lions, and walruses By Marianne Riedman 1990.
  17. ^ le Roux, Aliza; Michael I. Cherry; Lorenz Gygax (5 May 2009). "Vigilance behaviour and fitness consequences: comparing a solitary foraging and an obligate group-foraging mammal". Behavioral Ecology and Sociobiology. 63 (8): 1097–1107. doi:10.1007/s00265-009-0762-1. S2CID 21961356.
  18. ^ Torres-Contreras, Hugo; Ruby Olivares-Donoso; Hermann M. Niemeyer (2007). "Solitary Foraging in the Ancestral South American Ant, Pogonomyrmex vermiculatus. Is it Due to Constraints in the Production or Perception of Trail Pheromones?". Journal of Chemical Ecology. 33 (2): 435–40. doi:10.1007/s10886-006-9240-7. PMID 17187299. S2CID 23930353.
  19. ^ O'Brien, W.J.; Browman, H.I.; Evans, B.I. (1990). "Search Strategies of Foraging Animals" (PDF). American Scientist. 78 (2): 152–160. Bibcode:1990AmSci..78..152O.
  20. ^ O'Brien, W.J.; Browman, H.I.; Evans, B.I. (1990). "Search Strategies of Foraging Animals" (PDF). American Scientist. 78 (2): 152–160. Bibcode:1990AmSci..78..152O.
  21. ^ Patterson, E.M.; Mann, J. (2011). "The Ecological Conditions That Favor Tool Use and Innovation in Wild Bottlenose Dolphins (Tursiops sp.)". PLOS ONE. 6 (7): e22243. Bibcode:2011PLoSO...622243P. doi:10.1371/journal.pone.0022243. PMC 3140497. PMID 21799801.
  22. ^ Rutz, C.; et al. (2010). "The ecological significance of tool use in New Caledonian Crows". Science. 329 (5998): 1523–26. Bibcode:2010Sci...329.1523R. doi:10.1126/science.1192053. PMID 20847272. S2CID 8888382.
  23. ^ Goodall, Jane (1964). "Tool-using and aimed throwing in a community of free-living chimpanzees". Nature. 201 (4926): 1264–66. Bibcode:1964Natur.201.1264G. doi:10.1038/2011264a0. PMID 14151401. S2CID 7967438.
  24. ^ MacArthur RH, Pianka ER (1966), "On the optimal use of a patchy environment.", American Naturalist, 100 (916): 603–09, doi:10.1086/282454, JSTOR 2459298, S2CID 86675558
  25. ^ Emlen, J. M. (1966), "The role of time and energy in food preference", The American Naturalist, 100 (916): 611–17, doi:10.1086/282455, JSTOR 2459299, S2CID 85723900
  26. ^ a b c d e f g h Stephens, D.W.; Brown, J.S. & Ydenberg, R.C. (2007). Foraging: Behavior and Ecology. Chicago: University of Chicago Press.
  27. ^ Kagan E., Ben-Gal, I., (2015). "Search and Foraging: Individual Motion and Swarm Dynamics (268 Pages)" (PDF). CRC Press, Taylor and Francis.{{cite web}}: CS1 maint: multiple names: authors list (link)
  28. ^ Hrncir, Michael; Jarau, Stefan; Zucchi, Ronaldo; Barth, Friedrich G. (2000). "Recruitment behavior in stingless bees, Melipona scutellaris and M. quadrifasciata . II. Possible mechanisms of communication" (PDF). Apidologie. 31 (1): 93–113. doi:10.1051/apido:2000109.
  29. ^ Boesch, C (1994). "Cooperative hunting in wild Chimpanzees". Animal Behaviour. 48 (3): 653–67. doi:10.1006/anbe.1994.1285. S2CID 53177700.
  30. ^ 1. Gomes 2. Boesch, 1. C M 2. C (2009). "Wild chimpanzees exchange meat for sex on a long term basis". PLOS ONE. 4 (4): e5116. Bibcode:2009PLoSO...4.5116G. doi:10.1371/journal.pone.0005116. PMC 2663035. PMID 19352509.
  31. ^ 1 Gomes 2 Boesch, 1 CM 2 C (2011). "Reciprocity and trades in wild west African chimpanzees". Behavioral Ecology and Sociobiology. 65 (11): 2183–96. doi:10.1007/s00265-011-1227-x. S2CID 37432514.
  32. ^ a b c Packer, C.; Scheel, D.; Pusey, A.E. (1990). "Why lions form groups: food is not enough". American Naturalist. 136: 1–19. doi:10.1086/285079. S2CID 85145653.
  33. ^ Benoit-Bird, Kelly; Whitlow W. L. Au (January 2009). "Cooperative prey herding by the pelagic dolphin, Stenella longirostris" (PDF). The Journal of the Acoustical Society of America. 125 (1): 125–37. Bibcode:2009ASAJ..125..125B. doi:10.1121/1.2967480. PMID 19173400. Archived from the original (PDF) on 2012-04-25. Retrieved 2011-11-29.
  34. ^ Creel, S; Creel N M (1995). "Communal hunting and pack size in African wild dogs, Lycaon pictus". Animal Behaviour. 50 (5): 1325–39. doi:10.1016/0003-3472(95)80048-4. S2CID 53180378.
  35. ^ BS Blades – Aurignacian Lithic Economy: Ecological Perspectives from Southwestern France Springer, 31 January 2001 Retrieved 2012-07-08 ISBN 0306463342
  36. ^ Ahrens, Robert N. M.; Walters, Carl J.; Christensen, Villy (2012). "Foraging arena theory". Fish and Fisheries. 13 (1): 41–59. doi:10.1111/j.1467-2979.2011.00432.x. ISSN 1467-2979.
  37. ^ Tupper, Mark; Juanes, Francis (2017-02-01). "Testing foraging arena theory: The effects of conspecific density and habitat type on time and energy budgets of juvenile cunner". Journal of Experimental Marine Biology and Ecology. 487: 86–93. doi:10.1016/j.jembe.2016.12.001. ISSN 0022-0981.
  38. ^ Stephens, D.W. (6 August 2008). "Optimal Foraging Theory". Encyclopedia of Ecology. Elsevier: 2561–2566. doi:10.1016/B978-008045405-4.00026-4. ISBN 9780080454054 – via ScienceDirect.
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