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| Kabai Péter | Peter Kabai | ||||||
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| back to Wildlife Ecology and Management elective course |
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3. Study design and population biology
methods |
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| Why study populations? To understand how it works. „basic research”
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Factors to be considered Number of animals (density) |
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Limitations One cannot study "everything": data is costly Sampling: |
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| Heterogeneous population (all dogs): large variance 3 different habitats + road
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| systematic sampling: easier, however, if distribution is not random, sample might not be representative. random sample: representative |
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Density estimation, some methods Absolute density not needed, or not feasible: INDICES |
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Absolute density not needed, or not feasible: INDICES
see
here for an example of road count with the participation of the
public
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| Good index: sensitive, no ceiling or floor effect | ![]() |
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All individuals seen , on sample plots Counts on Stripes, Quadrats, Line-transect |
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Stripes Position stripes (stratified random?) Total area of stripes > 10 % of whole area COUNT (!) all individuals on each stripe, estimate density for whole area 150 individuals on 10% 1500 individuals on area (SD!!!) |
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LINE TRANSECT estimate distance and angle. calculate perpendicular distance from line sighting of a group is a single sighting! (calculate average groups size) |
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estimate distribution of distance data. Advantages of line transect: |
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| Not all individuals seen, animals can be captured: capture-recapture methods Animals captured and marked. 100 recaptured with 10 individuals marked: estimation is 1000 individuals Not so simple as this (closed population, probability of capturing marked or unmarked individuals is equal) introduction to method + software www |
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| Capturing animals Birds mist nets for smaller birds details on tools at Smithsonian
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| Mammals live traps Photos on caribou immobilization and marking: www
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| Radiotelemetry
receiver with direction sensitive antenna
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See a collection of sample studies at |
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| New developments: GPS data transmitted! |
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| New developments: use of miniature cameras. see BBC news | |||||||
| Marking birds: rings, wingtag, dyes, radiotransmitter mammals: freeze band, dyes, collars, eartags |
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| Condition kidney fat index (kidney fat / kidney weight), correlates
with body fat ratio. |
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| Age Continuous variables (eye lense mass, body size of fishes, stature, antler, tooth ware www etc.) can be used to estimate age categories Discrete variables: Plumage of birds ( yearling vs. old), tooth replacement (precision by month at young agespecies specific), ossification (young or old) Figure illustrates ossification of radius and ulna of
the European hare according to G. Kovacs. By cca 8 month of age the
bump disappears. |
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| Growth lines (cementum annuli) worked out for many species.
Calibration: animals injected with antibiotics, number of annuli since
injection counted. www: spectacular description of aging bear. |
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| Diet analysis Direct Post-ingeston samples |
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| Herbivores Study these 3 plant species. Try to match them with the
corresponding microhistology pics. |
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Fraxinus pennsylvanica (click) |
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| Leontodon hispidus (click) | Eleagnus angustifolia (click) | ||||||
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Pictures were kindly provided by |
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| Fertility Analyis of follicles CL: corpora lutea |
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| Uterine analyis
Number of fetuses: Reliable indicator Placental scars: Detachment of placenta |
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| Hormone profiles: LH surge prior to ovulation worked out for many species |
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| Natality: Number of young born Direct observation: depends on species and habitat |
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Mortality difficult to locate dead animals
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