Central place foraging
Central place foraging 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.
Case studies
Central place foraging in non-human animals
Orians and Pearson found that red-winged blackbirds in eastern Washington State tend to capture a larger number of single species prey items per trip compared to the same species in Costa Rica, which brought back large, single insects. Foraging specialization by Costa Rican blackbirds was attributed to increased search and handling costs of nocturnal foraging, whereas birds in Eastern Washington forage diurnally for prey with lower search and handling costs. Studies with sea birds and seals have also found that load size tends to increase with foraging distance from the nest, as predicted by CPF. Other central place foragers, such as social insects, also show support for CPF theory. European honeybees increase their nectar load as travel time to nectar sites from a hive increases. Beavers have been found to preferentially collect larger diameter trees as distance from their lodge increases.Archaeological case study: acorns and mussels in California
To apply the central place foraging model to ethnographic and experimental archaeological data driven by middle range theory, Bettinger et al. simplify the Barlow and Metcalf central place model to explore the archaeological implications of acorn and mussel procurement and processing. This model assumes foragers are gathering resources at a distance from their central place with the goal of efficiently returning the resource home. Travel time is expected to determine the degree to which foragers will process a resource in order to increase its utility prior to returning from a foraging location to their central place.Transport capabilities in aboriginal California were established by measuring the volume of burden baskets and extrapolating the load weight based on ethnographic data on basket use.
Ethnographic and experimental data was used to estimate utility at each possible stage of processing.
Examining ecology and procurement methods, the central place foraging model was used to predict the conditions in which field processing of the two species will occur.
- Acorn: Most stages of acorn processing are extremely time consuming but only marginally increase utility, therefore the central place foraging model predicts that acorns should only be dried prior to transporting to central place. Further processing of acorns increases efficiency only when foragers’ one way travel time reaches 25 hours. This corresponds to approximately 124.75 km, which exceeds the territory size of native groups in California dependent on acorns.
- Mussels: When foragers employ the plucking harvesting method, field processing is expected even with short travel distances, as the shell to meat ratio allows forager to increase efficiency by removing shell. Stripping will almost always result in central place processing, rather than field processing, as this harvesting method results in the procurement of a high percentage of small mussels with high shell to meat ratios.
- Acorns: Sites where the archaeobotanical remains are dominated by acorn can be assumed to be seasonal sites of highly mobile foragers that have mapped on to acorns for seasonal processing. Sites that have a mix of archaeobotanical remains with a decreased abundance in acorn remains and plant material that would be lost in early stages of field processing are interpreted as less residentially mobile settlements characterized by logistical procurement.
- Mussels: Interpretation of archaeological mussel shell is complicated because it is reliant on the condition of the mussel beds, distance to the mussel beds and the type of harvest method being employed. In general, however, sites closer to mussel beds should have larger mussel shell due to plucking and residential consumption. Sites far from mussel procurement beds would be expected to have a mix of mussel shell sizes due to stripping. The presence of higher amounts of small mussel shell could also indicate an increase in resource intensification.
Archaeological case study: silver miners and propaganda in Colorado
These estimates were used to determine the optimal placement of mines. A number of historic mining locations were recorded using GPS. These data were used to calculate least cost paths from the mines to Gothic, which provided the distances to the central place. The results were compared to two different CPF models based on newspaper propaganda and the more realistic mill records, respectively.
Miners were choosing locations that were much farther away than feasible given the value of silver and its actual abundance. However, the mines were within the distance predicted using the optimistic newspaper estimates. Glover suggested that miners, being new to the area, used social learning strategies and based their decisions on newspaper propaganda and rumors, rather than individual experience. Therefore, they chose locations that were too far away to be economically viable.
Ethnographic case study: shellfish in Torres Strait Islands
Shellfish exemplify the resources targeted by the CPF model – those with a heavy, bulky,low utility component surrounding a smaller, lighter high utility component
. If foragers differentially field process and transport shellfish prey items,
analyses of midden composition may incorrectly estimate the importance of some species
and their relative contribution to prehistoric diets. Using foraging data from the Meriam
of Australia, Bird and Bliege Bird compare observed shellfish field acquisition to
shell deposition at residential sites, and test the hypotheses of the CPF model.
The Meriam inhabit Torres Strait Islands of Australia, are of Melanesian descent, and
have strong cultural and historical ties to New Guinea. They continue to harvest marine
resources such as sea turtles, fishes, squid, and shellfish. Bird and Bliege Bird conducted
“focal individual foraging follows” of 33 children, 16 men and 42 women during
intertidal foraging bouts on reef flats and rock shores. Foraging technology includes 10-
liter plastic buckets, long-blade knives, and hammers. Foragers are constrained by time
and load size.
Large clams collected on the reef flat constitute over half of the edible weight collected, but since they are almost always field processed their shells make up only 10% of the residential site deposition. In contrast, sunset clams and nerites are usually processed residentially. Large clams were, therefore, underrepresented while small clams and nerites were overrepresented in the reconstructed diet.
Since reef flat and rocky shore foraging occurs at multiple sites at variable distances from the residential camp, the authors calculated the mean one-way travel distance processing threshold for each species. The CPF model accurately predicts
field processing for the majority of reef flat foraging events for bivalves. Hippopus and
Tridacna have small processing threshold distances,
and no shell is returned to camp at distances beyond 150 meters. Women’s fit nears
100%, but children and men made the optimal choice less frequently because they usually
forage for shellfish opportunistically, and therefore do not always carry the appropriate
processing technology.
For gastropods, the model accurately predicts processing
only 58-59% of the time. This could in part be due to a preference for cooking some species inside of their shells, or also because some prey items are prepared at “dinner-time camps” rather than the residential camp. A. violascens and N. undata are never field processed, consistent with their large processing threshold distances.
Overall, prey types that were difficult or inefficient to process and/or were collected near the residential or temporary camp were not field processed. Species that required little processing time to increase returns and/or were collected far from camp were field processed. The field processing predictions of the CPF model might be incorrect where shellfish are transported whole in order to maintain freshness for later consumption or trade, or where the shell itself is valuable.
Ethnoarchaeological case study: pickleweed and piñon
Barlow and Metcalfe address the issues of field processing of plant materials. Decisionsof central place foragers may confound archaeological interpretations about the contribution plant
material to the diet. Two interrelated issues are pertinent: the location of the central place, and field
processing.
Barlow and Metcalfe study archaeological materials from two sites, Danger Cave and Hogup Cave, in the
area of the Great Salt Lake. These sites contain evidence for the use of piñon pine
and pickleweed.
Samples were obtained for experimental processing from extant piñon groves and pickleweed patches
in the vicinity as the cave sites. Piñon and pickleweed were harvested and processed in carefully timed
and controlled stages. After each stage the useful, i.e. edible, portion of the remaining material was
weighed and recorded before proceeding to the next stage. Stages consisted of: gathering, drying, and
a variety of processes to remove inedible constituents. Caloric
values of the samples were then determined via laboratory analysis. These values, as well as assumed
load sizes from 3 to 15 kg were then used to generate field
processing model predictions.
At a distance of 15 kilometers from the central place, the estimated net return rates for field processing loads of piñon and pickleweed are 3,000 and 190 calories per hour, respectively. Since piñon has higher overall return rates, field processing produces a higher rate of return. Because pickleweed has a lower rate of return, it is not worthwhile to spend the additional effort required for field processing.
Therefore, the central place will be situated closer to pickleweed patches than to piñon in order to more effectively exploit the lower-ranked resource.
These results imply that the archaeological evidence for pickleweed at the cave may over estimate its actual contribution to the diet. If foragers choose to reside closer to pickleweed patches and bring back largely unprocessed plants, a high density of pickleweed macrofossils will be incorporated into site deposits. However, the opposite is true for piñon, which is largely processed in the field. Thus, most sites will contain little macrofossil evidence of the inedible portions of piñon that could later be recovered by archaeologists. As such, the relative abundance of macrofossils in most cases does not directly translate into the relative contribution of those resources to the diet of central place foragers.
The model
Basic math: single stage of processing
The goal of the field processing model is for a forager to maximize its return rate per roundtrip from home base to patch. The model typically solves for some amount of travel time that makes it worthwhile to process a resource to a certain stage. To determine this, we need to relate the benefit of processing and the time spent processing to the travel time. We letpoint on transport-time axis where field processing become profitable
time to procure unprocessed resources
time to procure and process a load of resources
utility of load without field processing
utility of load with field processing
The relationship is then specified by:
With values for the utility and time of processed and unprocessed loads, we can solve for. The right hand side of the equation is the proportion of relative utility*time to utility.
Two conditions must be satisfied. First, the processed load must have higher utility than the unprocessed load. Second, the return rate of the unprocessed load must be at least as good as the return rate for the processed load. Formally,
If then.
If, then.
Multiple components and multiple stages of processing
Many resources have multiple components that can be removed during processing to increase utility. Multistage field processing models provide a way to calculate travel thresholds for each stage when a resource has more than one component. As one increases the utility per load, the time needed to procure a complete load increases.The benefit of each stage of processing is:
where
utility of resource component j
proportion of package composed of resource component j prior to processing
utility of load at field-processing stage j
The cost in terms of time for each stage of processing is:
where
time required to remove resource component j
weight of optimal load size for transport
weight of unmodified resource package
time required to handle each resource package
total handling and processing time required to reach each stage j of processing
Now these values can be used to calculate, which is the travel threshold for processing to stage j. In addition to a resource with multiple components, this same model generalizes to a resource with multiple stages, each of which is composed of multiple resources, each of which can be removed independently of each other. This model can be further generalized to the case where multiple components with additional costs can be removed in multiple stages of processing through recursion.
Assumptions
This model rests on a number of assumptions. The most important are listed here.- Individuals attempt to maximize their rate of delivery per round trip * Packages have at least two components with different utilities
- The optimal load size is less than or equal to the resources available
- Time spent away from camp comes with an opportunity cost, but time spent in camp does not. So there is no cost to processing in camp.
Predictions
- The amount an individual is willing to process is proportional to traveling time. This is evident in and in the equation above. Since is the amount of time it takes an individual to process something to an additional stage, and this is independent of the amount of time it takes one to initially procure the resources, and since is positive, then increasing it will result in an increase in.
- If processing results in a greater benefit, then one will not need to travel as far to make processing worthwhile. This is clear to see because, as long as condition 2 holds, is larger than. So that part of the equation will be negative. Therefore, if we hold everything else the same and increase the benefit due to processing, the travel time required to make processing viable will decrease.
- Field processing can increase the amount of time that an individual is willing to pursue a prey. If processing a prey item results in a big enough benefit, you will spend longer capturing it. We can see this by looking at where is in this model. Since it interacts with the benefit due to processing, a change in either of those can alter.