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Biology · Observation, Imaging & Experimental Methods

Field sampling, tracking, remote sensing and environmental DNA

Four complete plot counts cover eighty square metres inside a four-hundred-square-metre region. The sampled density is known, but the regional total remains unknown. Field methods extend observation beyond a single specimen while retaining the same central question: how does this selected record support an inference about the biological system?

Research Design, Data & Scientific Practice introduces questions, comparisons, uncertainty and independent units. Cells, Membranes & Organisation supplies the cellular boundaries and compartments behind localisation and counting. Gene Expression: RNA & Proteins explains why DNA and RNA can act as templates and why a measured reporter product is distinct from its input. Ordinary fractions, averages and the distance between planar points support the worked cases. Follow each supplied inventory and comparison first; the formulas summarise that reasoning rather than replacing the biological conditions.

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By the end, you can

Connect field records to their spatial, temporal and observation boundaries; distinguish sampled counts, movement records, spectral proxies and DNA detection from broader biological claims.

01

Observation coverage is part of the inference

A field sample records selected places, times or organisms within a stated wider system. Counts, occurrence records and environmental measurements can each be informative, but they refer to different quantities. Absence from a record can reflect absence in the observed area, imperfect detection or a part of the system that was never observed. The appropriate spatial boundary and inclusion rule therefore belong with the result.

The plot account makes detection complete inside four included areas, while leaving everything outside them unknown. Their counts sum to sixteen individuals across eighty square metres. Dividing by that observed area gives density 0.2 individuals per square metre. Applying it to the entire region would require a justified relation between selected areas and the wider system; the arithmetic does not establish representativeness.

Accessibility, habitat coverage, seasonal timing and observer conditions can affect which records exist. Nearby observations can also share conditions, so the number of plots does not automatically settle independence. A presence-only collection shows where observations were made, while unrecorded places are not automatically confirmed absences. Clear coverage and detection evidence help separate a biological pattern from a pattern of observation.

Observed area and inferred regional abundance need different labels

Observed area and inferred regional abundance need different labelsFour included plots provide a complete count within eighty square metres, while the total for the wider region remains unknown.Assigned vertical coordinate (m)1: 32: 53: 24: 60055101015152020Assigned horizontal coordinate (m)1. Included observed plot 1: Complete count inside this plot 32. Included observed plot 2: Complete count inside this plot 53. Included observed plot 3: Complete count inside this plot 24. Included observed plot 4: Complete count inside this plot 6Total observed area (m²): 80; Area outside the includedobservations: 320Count within that observed area: 16; Observed individuals persquare metre: 0.2Regional total not observed: ?; Conditional whole-regionextrapolation: 80D = 16/80; N̂ = D × 400A sampled density needs a justified selection and observationargument before it represents the whole region
Adding observations expands the record only where they were made. Accessibility, habitat coverage, dependence and detection can change how far a field result can be generalised.
Read the diagram in words

The four plot counts 3/5/2/6 sum to 16 in 4 × 20 = 80 m². Observed density is 16/80 = 0.2 individuals per m². Multiplying by regional area 400 gives 80 only under the stated representativeness assumption. The remaining 320 m² were not counted, so the actual regional total stays unknown.

Included observed plot
Included observed plotx (m)y (m)Δx (m)Δy (m)Plot area (m²)Complete count inside this plot
Included observed plot 11145203
Included observed plot 28145205
Included observed plot 311045202
Included observed plot 4121245206
Observed area and inferred regional abundance need different labels
Total observed area (m²)Count within that observed areaObserved individuals per square metreArea outside the included observationsRegional total not observedConditional whole-region extrapolation
80160.2320?80

20 × 20 = 400 m²

D = 16/80; N̂ = D × 400

Original 20 by 20 m region with four disjoint 4 by 5 m observed plots. Each included plot has a complete count of one stipulated species, no detection error within these plots. Selection is not supplied as random or representative; outside-plot abundance is unknown. A regional 80-individual extrapolation is conditional on sample density representing the whole region, not an observed regional census. Spatial dependence and selection bias are not resolved by adding plot counts.

02

A position record is not a continuously observed route

Tracking associates observations with the same identified organism over time. Positions can reveal displacement, visited areas and relationships with recorded environmental conditions. They do not by themselves establish every behaviour between observations. Missing locations, positional error, observation intervals and effects of an observation device can all matter for the question being asked.

The exact point case separates two geometric accounts. Start-to-end displacement is the straight vector from the first position to the last. The recorded polyline adds straight distances between every successive pair of positions. If the intervening movement was not observed, that polyline is a lower bound on the travelled path, because a curved or backtracking journey could be longer.

The same individual supplies all three positions in this case. More positions can improve knowledge of that individual’s history without becoming more independently observed animals. A selected group of tracked individuals also does not automatically represent an entire population. Evidence about the observation scale and which individuals are included is necessary before a movement record explains a species-wide mechanism or population pattern.

Recorded positions constrain a journey without showing every step

Recorded positions constrain a journey without showing every stepThree exact positions for one individual determine displacement and a minimum intervening path length, while the actual route between records is unspecified.Assigned vertical position (m)001122334455Assigned horizontal position (m)Same assigned tracked individualRecorded position 0: (0, 0); Recorded time (s) 0Recorded position 1: (3, 0); Recorded time (s) 1Recorded position 2: (3, 4); Recorded time (s) 2Straight start-to-end displacement (m): 5; Length of straightlinks between successive records (m): 7Elapsed time between the first and last records (s): 2Displacement magnitude divided by elapsed time (m/s): 2.5; Lowerbound on average travel speed (m/s): 3.5|Δr| = √(3² + 4²) = 5; L ≥ 3 + 4Connection between records, not a continuously observed routeActual movement between records is unobserved: ?
A shorter observation interval can reveal more movement detail, but recorded points remain a sampled history. Many positions from one individual do not become many independent animals.
Read the diagram in words

The records are (0, 0), (3, 0), (3, 4) at 0/1/2 s. Start-to-end displacement is √(3² + 4²) = 5 m. Straight links total 3 + 4 = 7 m, a lower bound on actual travel. Over 2 s, displacement rate is 2.5 m/s and the lower bound on average travel speed is 3.5 m/s. Both refer to the same one individual.

Same assigned tracked individual

Recorded position identity
Recorded position identityRecorded time (s)Assigned horizontal position (m)Assigned vertical position (m)
Recorded position 0000
Recorded position 1130
Recorded position 2234
Connection between records, not a continuously observed route
Connection between records, not a continuously observed routeLength of straight links between successive records (m)
Recorded position 0 → Recorded position 13
Recorded position 1 → Recorded position 24
Recorded positions constrain a journey without showing every step
Straight start-to-end displacement (m)Length of straight links between successive records (m)Elapsed time between the first and last records (s)Displacement magnitude divided by elapsed time (m/s)Lower bound on average travel speed (m/s)Actual movement between records is unobserved
5722.53.5?

|Δr| = √(3² + 4²) = 5; L ≥ 3 + 4

Original planar point records for one same tracked individual, positions exact and times 0/1/2 s. Euclidean distances apply with identical x/y distance units. Straight links between records form a recorded polyline, not an observed continuous journey. Actual intervening movement can be longer; no finite upper bound, heading history, terrain, measurement error, capture/tag procedure or behaviour mechanism supplied.

03

Remote sensing records physical signals over a footprint

Remote sensing observes signals from a distance, often over a sensor’s spatial footprint and selected spectral bands. A pixel can summarise a mixture of surfaces and biological states. The recorded quantity is a physical observation; relating it to vegetation, habitat or organisms requires compatible conditions and a biological interpretation rather than a direct change of units.

The normalised difference vegetation index (NDVI) compares near-infrared and red reflectance as their difference divided by their sum. In the two hypothetical records, one pixel has values 0.6 and 0.2 and the other 0.3 and 0.1. Both give index 0.5 even though the band values differ. The ratio therefore does not retain every part of the original optical record.

Nor does this index identify the species, native status or ecological interactions beneath a pixel. Illumination, atmosphere, viewing geometry, surface composition and observation timing can affect interpretation. Field evidence can help connect a physical proxy to a particular biological question, but an equal greenness index is not proof of equal biodiversity, and a changing index need not identify which species changed.

The same spectral index can accompany different band values

The same spectral index can accompany different band valuesTwo original pixel reflectance records yield the same normalised difference index while leaving biological composition unspecified.Mean red-band reflectanceHypothetical pixel P0.2Hypothetical pixel Q0.101Mean near-infrared reflectanceHypothetical pixel P0.6Hypothetical pixel Q0.301Normalised difference vegetation indexHypothetical pixel P0.5Hypothetical pixel Q0.5-101NDVI = (NIR − Red)/(NIR + Red)Hypothetical pixel P: (0.6 − 0.2) / (0.6 + 0.2) = 0.5Hypothetical pixel Q: (0.3 − 0.1) / (0.3 + 0.1) = 0.5The record does not identify the species or native statusbeneath the pixelA spectral index and a biological field count are differentobservations
Remote sensing can help compare environmental patterns when its physical measurements and biological interpretation are justified. An equal index is not proof of equal ecological composition or condition.
Read the diagram in words

P gives (0.6 − 0.2)/(0.6 + 0.2) = 0.5. Q gives (0.3 − 0.1)/(0.3 + 0.1) = 0.5. Their band values differ by a factor of two, but their ratios agree. Nothing in these two records supplies species richness, native status or the number of organisms.

Hypothetical pixel record
Hypothetical pixel recordMean red-band reflectanceMean near-infrared reflectanceNear-infrared minus red reflectanceNear-infrared plus red reflectanceNormalised difference vegetation index
Hypothetical pixel P0.20.60.40.80.5
Hypothetical pixel Q0.10.30.20.40.5

NDVI = (NIR − Red)/(NIR + Red)

Original mean surface-reflectance records in red and near-infrared bands for two hypothetical pixels under comparable observation conditions. Reflectances are dimensionless and within 0..1; their sums are positive. No pixel area, species, native/alien identity, living-cell count, productivity, health diagnosis or subpixel composition supplied. The index is a spectral summary, not a direct biodiversity measure or a calibrated species-richness estimate.

04

Environmental DNA needs an origin and detection account

Environmental DNA is genetic material observed in an environmental sample, potentially originating from organisms, their cells or released material. An analytical detection provides evidence about the included DNA under the assay’s specificity and observation conditions. Current local living presence is a further claim: DNA can be transported from elsewhere or retained from an earlier source, and detection does not alone show a viable population.

A negative record can occur even with a local living source because production, transport, degradation and observation affect detectability. The hypothetical probability case fixes local presence and assigns a 0.6 positive-record chance at each of three conditionally independent opportunities. The chance of no positive record is 0.4 cubed, or 0.064. This is a record probability given presence, not the probability of absence after three negative records.

A separate case fixes local living absence while allowing positive records with probability 0.05 at each opportunity. The model can include transported or retained DNA and analytical errors in that ecological-record probability; it does not call every such record an analytical false positive. No prior occurrence probability is supplied, so a posterior presence estimate cannot be calculated from either case alone. Abundance, identity, origin, persistence and detectability need appropriately different evidence.

A molecular record and current local presence are separate claims

A molecular record and current local presence are separate claimsSeveral possible DNA origins converge on a record; separate conditional probability cases show how nondetection and positive records depend on the assumed local state.Current local livingsourceSource outside the localboundaryDNA retained from anearlier local sourceDNA in the includedenvironmentAnalytical observationrecordCurrent local living source → DNA in the included environment: Alocal organism can contribute DNASource outside the local boundary → DNA in the includedenvironment: DNA can arrive from outside the boundaryDNA retained from an earlier local source → DNA in the includedenvironment: Previously contributed DNA can remainDNA in the included environment → Analytical observation record:An assay reports evidence about included DNAThe boundary concerns current living organisms, not everypossible origin of detected DNAStipulated current local living presenceCurrent local living presence supplied in this case: ✓;Positive-record probability at each opportunity: 0.6Observation opportunity in the supplied orderProbabilityconditionalon thesuppliedstate123×××0.064××✓0.096×✓×0.096×✓✓0.144✓××0.096✓×✓0.144✓✓×0.144✓✓✓0.216Probability conditional on the supplied state10.06420.09630.09640.14450.09660.14470.14480.21601Probability of no positive record in all three opportunities: 0.064Probability of at least one positive record: 0.936Stipulated current local living absenceCurrent local living presence supplied in this case: ×;Positive-record probability at each opportunity: 0.05Observation opportunity in the supplied orderProbabilityconditionalon thesuppliedstate123×××0.857375××✓0.045125×✓×0.045125×✓✓0.002375✓××0.045125✓×✓0.002375✓✓×0.002375✓✓✓0.000125Probability conditional on the supplied state10.85737520.04512530.04512540.00237550.04512560.00237570.00237580.00012501Probability of no positive record in all three opportunities:0.857375Probability of at least one positive record: 0.142625Positive analytical record = ✓No positive analytical record = ×1. Recorded opportunity 12. Recorded opportunity 23. Recorded opportunity 3Posterior local presence not supplied: ?P(0 | s) = (1 − pₛ)³These probabilities describe records given a state, rather thanthe state given records
A true molecular detection can still have a transported or historical origin. Negative evidence depends on detection conditions, and present organisms, detected DNA, abundance and viable populations need different inference arguments.
Read the diagram in words

With local presence stipulated and positive-record chance 0.6, all three records can be negative with probability 0.4³ = 0.064; at least one positive has probability 0.936. With local absence stipulated and positive-record chance 0.05, any positive has probability 1 − 0.95³ = 0.142625. These are probabilities conditional on a known case, not estimates of presence after a record.

Meaning of the material or measurement relation
Meaning of the material or measurement relationMeaning of the material or measurement relation
Current local living source → DNA in the included environmentA local organism can contribute DNA
Source outside the local boundary → DNA in the included environmentDNA can arrive from outside the boundary
DNA retained from an earlier local source → DNA in the included environmentPreviously contributed DNA can remain
DNA in the included environment → Analytical observation recordAn assay reports evidence about included DNA
Stipulated current local living presence
Alternative complete three-record patternRecorded opportunity 1Recorded opportunity 2Recorded opportunity 3Positive records in this patternProbability conditional on the supplied state
1No positive analytical recordNo positive analytical recordNo positive analytical record00.064
2No positive analytical recordNo positive analytical recordPositive analytical record10.096
3No positive analytical recordPositive analytical recordNo positive analytical record10.096
4No positive analytical recordPositive analytical recordPositive analytical record20.144
5Positive analytical recordNo positive analytical recordNo positive analytical record10.096
6Positive analytical recordNo positive analytical recordPositive analytical record20.144
7Positive analytical recordPositive analytical recordNo positive analytical record20.144
8Positive analytical recordPositive analytical recordPositive analytical record30.216
Stipulated current local living presence
Current local living presence supplied in this casePositive-record probability at each opportunityProbability of no positive record in all three opportunitiesProbability of at least one positive record
✓0.60.0640.936
Stipulated current local living absence
Alternative complete three-record patternRecorded opportunity 1Recorded opportunity 2Recorded opportunity 3Positive records in this patternProbability conditional on the supplied state
1No positive analytical recordNo positive analytical recordNo positive analytical record00.857375
2No positive analytical recordNo positive analytical recordPositive analytical record10.045125
3No positive analytical recordPositive analytical recordNo positive analytical record10.045125
4No positive analytical recordPositive analytical recordPositive analytical record20.002375
5Positive analytical recordNo positive analytical recordNo positive analytical record10.045125
6Positive analytical recordNo positive analytical recordPositive analytical record20.002375
7Positive analytical recordPositive analytical recordNo positive analytical record20.002375
8Positive analytical recordPositive analytical recordPositive analytical record30.000125
Stipulated current local living absence
Current local living presence supplied in this casePositive-record probability at each opportunityProbability of no positive record in all three opportunitiesProbability of at least one positive record
×0.050.8573750.142625

Posterior local presence not supplied: ?

P(0 | s) = (1 − pₛ)³

Original conceptual material origins and separate hypothetical three-opportunity record model. Local living presence remains fixed within each probability case, and positive records are conditionally independent with fixed probabilities. The positive-record chance 0.05 under local absence is an ecological-record assumption that can include transported/residual DNA or analytical errors; it is not defined as the assay’s analytical false-positive rate. No prior probability is given, so neither a positive nor a negative record supplies posterior local presence. DNA amounts, species targets, degradation rates, sampling/capture/extraction/amplification procedures and actual field data are absent.

Worked example

Report the observed quantity before the wider inference

The plot counts 3 + 5 + 2 + 6 = 16 cover 4 × 20 = 80 m². Density is 16/80 = 0.2. Multiplication by 400 m² gives a conditional regional estimate eighty, while the actual total in the unobserved 320 m² remains unspecified. It is neither confirmed zero nor automatically represented by the included plots.

For positions (0, 0), (3, 0) and (3, 4), the straight displacement is five metres. The recorded links total three plus four, seven metres. Over two seconds the displacement magnitude per elapsed time is 2.5 m/s, whereas the lower bound on average travel speed is 3.5 m/s. The unobserved route can be longer; the records do not set a finite upper travel bound.

For the spectral ratios, (0.6 − 0.2)/(0.6 + 0.2) and (0.3 − 0.1)/(0.3 + 0.1) both give 0.5. For the independent DNA-record example, presence-case probability of any positive is 1 − 0.4³ = 0.936. Absence-case probability of any positive is 1 − 0.95³ = 0.142625. Neither a shared spectral ratio nor a positive record identifies every underlying biological state.

Check your understanding

  1. Does observed density 0.2 in the four complete plots establish eighty individuals in the whole region?

    Show reasoning

    No. That regional estimate requires the included density to represent the unobserved area under justified selection and observation conditions. The plots themselves establish sixteen individuals in eighty square metres. The other 320 square metres were not counted, so the regional total is still unknown.

  2. Why are the seven-metre recorded polyline and five-metre displacement not competing measurements of the same path quantity?

    Show reasoning

    Displacement compares only the starting and ending positions. The polyline includes the intermediate position and sums straight links, giving a lower bound on actual travel. The intervening route is unobserved and can be longer. Both calculations concern one same individual and answer different geometric questions.

  3. Do three negative DNA records give absence probability 0.064, and does a positive prove current local living presence?

    Show reasoning

    No. The value 0.064 is the probability of three negatives conditional on the supplied presence case, not absence conditional on negatives. Positive DNA can also have transported or historical origins. Inferring current local state needs additional origin, detection and prior evidence; the model supplies no posterior occurrence probability.

What to carry forward

Keep coverage, identity, time, physical proxy and conditional detection explicit before extending a field record to a wider biological conclusion.

References

Resources supporting this lesson’s explanations and examples.

  1. Sample selection bias and presence-only distribution models: implications for background and pseudo-absence data (Ecological Applications 19(1):181–197, 2009; doi:10.1890/07-2153.1)Steven J. Phillips, Miroslav Dudík, Jane Elith, Catherine H. Graham, Anthony Lehmann, John Leathwick and Simon FerrierResearch abstractpubmed.ncbi.nlm.nih.govRead source
  2. Terrestrial animal tracking as an eye on life and planet (Science 348(6240):aaa2478, 2015; doi:10.1126/science.aaa2478)Roland Kays, Margaret C. Crofoot, Walter Jetz and Martin WikelskiOriginal ecological-methods reviewrepository.si.eduRead source
  3. Product Descriptions: NDVI and Relative Greenness (Selected NDVI definition/equation, undated conceptual content)U.S. Geological SurveyOfficial spectral-index definitionusgs.govRead source
  4. Critical considerations for the application of environmental DNA methods to detect aquatic species (Methods in Ecology and Evolution 7(11):1299–1307, 2016; doi:10.1111/2041-210X.12595)Caren S. Goldberg and colleaguesOriginal environmental-methods analysisbesjournals.onlinelibrary.wiley.comRead source
  5. Estimating site occupancy rates when detection probabilities are less than one (Ecology 83(8):2248–2255, 2002; doi:10.1890/0012-9658(2002)083[2248:ESORWD]2.0.CO;2)Darryl I. MacKenzie, James D. Nichols, Gideon B. Lachman, Sam Droege, J. Andrew Royle and Catherine A. LangtimmResearch abstractpubs.usgs.govRead source