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Reasons for doing field research
Observational, Experimental, and Applied
1) Making observations and establishing baseline data (O)
2) Tracking patterns and trends (O)
3) Testing an idea/theory/model (O-E)
4) Adding additional knowledge or data in support of
existing scientific understanding (O-E)
5) Practice/training (O-E-A)
6) Application/management (E-A)
Observational studies
observations and surveys in which not particular theory/model is being tested, and no experimental manipulations take place
Experimental studies
experimental manipulations of the system are designed to test particular theories/models and elucidate the mechanisms producing observed patterns
Correlation and causation
Correlation - things line up, they match
Causation - a direct relationship where an action by one variable causes a change in another
Weak vs strong inference
Weak inference - When a causal mechanism is inferred from pattern or correlation, without experimental demonstration
Strong inference - When experimental demonstration is used to infer conclusions and disprove multiple hypotheses at a time
Applied science
Known, well-established theory is applied to a system, and the system is manipulated to achieve targeted goals/outcomes
Basic science
Expands fundamental knowledge and understanding
Planning a study: Scope of inference
What question we’re trying to answer, or what problem we’re trying to solve?
What “Population”?- What objects/variables are you hoping to collect data on?
What Spatial Scope?- Subsamples from a site, multiple sites, landscapes, etc.
What Temporal Scope- One day, one field season, three years, etc.
What is the difference between pattern and process in ecological theory?
Pattern - observed arrangement
Process - what causes the pattern
Ockham’s Razor or the principle of parsimony
“All things being equal, the simplest answer tends to be the best one”
Benefits of Pilot Studies
•Establishing whether the sampling frame and technique
are effective
•Assessing the feasibility of a (full-scale) study/survey
•Designing a research protocol
•Identifying logistical problems which might occur using
proposed methods
•Estimating variability in outcomes to help determining
sample size
•Collecting preliminary data
•Determining what resources (finance, staff) are needed for
a planned study
•Developing a research question and research plan
•Training a researcher
•Convincing funding bodies that the research team is
competent and knowledgeable
•Convincing funding bodies that the main study is feasible
and worth funding
•Convincing other stakeholders that the main study is worth
supporting
Abundance vs Density
Total number of individuals in a population vs number of those individuals per unit
Complementarity population model
that the niches each species holds results in such unique resource use that the loss of any species would reduce ecosystem function
Redundancy population model
species functions are substitutable
Facilitative population model
As species richness increases, functionality increases
Intrinsic vs extrinsic
Caused by the species inherent characteristics vs caused by human activities that have resulted in limited distribution and abundance, independent of their biology
Intrinsic causes
Slow life histories, large area requirements, occupying higher trophic levels, complex social structure, high specialization, low vagility, large body size
Extrinsic causes
Habitat modification, pollution, exploitation, biotic mixing (invasives)
Different ways of defining rarity
Geographic range, local abundance, and habitat specificity
Based off abundance and distribution within the context of other species that are ecologically or taxonomically similar
Preston’s Veil
Rather than being skewed, where most species are rare, and few are common, the reality may be that there is a missing part of the graph, in which a few species are so rare that we aren’t even detecting them
Three purposes in animal behavior (autoecology)
eat, not be eaten, reproduce
Taxis vs Kinesis
Directed motion in response to a cue vs random search/motion in response to a cue
Energy Budget
'Profit' = net food value divided by time required to obtain & handle the food item, and efficient foragers should select most profitable prey! (?)
Optimal Foraging
Any food item has both a cost (time, energy, risk, etc) and a benefit (net food value). The relative value of each of these determines how much 'profit' a particular item represents
Ideal Free Distribution
The number of organisms competing for a resource at different sites is proportional to the resource distribution among sites. The relative number of individuals using any two patches matches the relative availability of resources in those same two patches.
Liebig’s Law of the minimum
In any system, a population will be limited by some (one) resource that is the most scarce relative to need.
Gause’s Law (competitive exclusion)
Two (or more) species with identical niches cannot coexist. Weaker competitors will be excluded (the competitive exclusion principle).
Niche Partitioning
Because competition negatively impacts individual fitness, selective pressures act to eliminate overlap in resource use among competing species
Fundamental vs realized niche
Where/what organisms would do alone/naturally vs what actually happens
The theoretical total potential niche space for a species. vs The actual real-world niche space for a species
Core-periphery structure in populations
More species/individuals found in core where the most resources are
Core - high fecundity
- high survivorship
- abundant resources
- high population density
- per capita reproduction > 1
Periphery- low fecundity
- low survivorship
- competition for resources
- low population density
- per capita reproduction < 1