A biodiversity survey records the types, abundance, distribution, and environmental relationships of organisms living in a defined area or habitat in order to evaluate the characteristics of a biological community. By comparing different environments such as forests, grasslands, parks, rivers, ponds, and coasts, it is possible to discuss how vegetation, land use, human management, moisture, light, and temperature affect biota.
Biodiversity includes not only species diversity, which describes the number of species, but also genetic diversity and ecosystem diversity. In school and university fieldwork, plants, insects, birds, soil animals, and other organisms are often surveyed by calculating species richness, abundance, frequency of occurrence, dominance, and diversity indices.
Survey results can vary greatly depending on survey area, duration, weather, season, observer experience, and survey method. Therefore, when comparing sites, it is important to standardize survey conditions and effort as much as possible.
Also, failure to detect an organism does not necessarily mean that it is absent from the site. Nocturnal organisms, seasonally occurring organisms, and organisms living underground or in the canopy may be overlooked during a short survey.
This article assumes a safe field biology survey conducted at a school or university and presents an introduction, precautions, result items, example experimental values, calculations, sources of error, sample results, and discussion examples.
Note:
This article is a study reference for preparing biology and ecology laboratory reports. Species names, abundance values, diversity indices, and other data shown here are illustrative examples and are not measurements from a specific location.
Conduct surveys only in safe locations with permission from the school, facility, or land manager. Do not enter restricted areas, steep slopes, flooded rivers, areas at risk of collapse, or other hazardous places.
Do not unnecessarily capture, collect, move, or take wild organisms home. Rare species, natural monuments, and invasive species may be subject to legal restrictions.
If identification is difficult, do not force an identification to species level. Record the organism by genus, family, or a broader taxonomic group such as “grass family plant” or “beetle.”
Be alert for bees, venomous insects, snakes, poison ivy and related plants, poisonous mushrooms, and other hazards. Wear long sleeves, long pants, gloves, and a hat as appropriate.
For surveys involving capture, use only methods and equipment specified by the instructor or manager, and in principle return organisms promptly to the collection site after observation. Follow facility instructions regarding invasive species.
To prevent poaching or disturbance, take care when deciding how precisely to disclose the locations of rare organisms.
- Basics of Biodiversity Surveys
- Main Items to Record in the Results
- Example Experimental Values
- Calculation Methods
- Main Sources of Error
- Example Results
- Discussion Example
- Discussion Example: High Species Richness but Low Diversity Index
- Discussion Example: High Abundance but Low Species Richness
- Discussion Example: Many Invasive Species
- Discussion Example: Few Shared Species Between Sites
- Discussion Example: Large Differences in Species Richness Between Survey Rounds
- Discussion Example: A Rare Species Was Detected
- Summary
Basics of Biodiversity Surveys
Species Richness
Species richness is the number of different species detected within the survey area. Greater species richness tends to indicate greater diversity, but it does not reflect how unevenly individuals are distributed among species.
Abundance
Abundance is the number of individuals detected for each species. For colonial organisms and plants, decide in advance what will count as one individual, such as a plant, stem, or colony.
Relative Dominance
Relative dominance is the proportion of the total number of individuals represented by each species. It indicates whether abundance is concentrated in particular species.
Frequency of Occurrence
Frequency of occurrence is the proportion of quadrats or survey plots in which a species is detected. It helps distinguish species that are widespread despite low abundance from species concentrated in only part of the area.
Diversity Indices
Diversity indices express species richness and evenness of abundance as a single numerical value. Representative examples include the Shannon index and Simpson index.
Survey Methods
Common methods include quadrat sampling for plants, hand searching and sweep-net sampling for insects, and point counts or line transects for birds. In comparative surveys, standardize area, duration, number of observers, travel distance, and other measures of effort.
Main Items to Record in the Results
- Survey date
- Survey time
- Survey site
- Weather
- Air temperature
- Wind strength
- Recent rainfall
- Survey environment
- Vegetation
- Land use
- Light conditions
- Ground-surface conditions
- Survey method
- Survey area
- Number of quadrats
- Survey duration
- Number of observers
- Distance traveled
- Taxonomic group
- Species name or tentative identification
- Abundance
- Cover
- Number of occupied plots
- Frequency of occurrence
- Relative dominance
- Number of species detected
- Total abundance
- Dominant species
- Presence of rare species
- Presence of invasive species
- Shannon index
- Simpson index
- Evenness
- Number of species shared between sites
- Similarity
- Results of repeated surveys
Example Experimental Values
Overview of Survey Sites
| Site | Environment | Characteristics |
|---|---|---|
| Site A | Deciduous forest | Many trees and a thick litter layer; shaded |
| Site B | Park grassland | Regular mowing; good sunlight |
| Site C | Pond margin | Wetland plants; water edge adjoining grassland |
Example Plant Survey Values
| Plant species | Site A | Site B | Site C |
|---|---|---|---|
| Konara oak | 12 | 0 | 2 |
| Japanese blue oak | 8 | 0 | 1 |
| Japanese silver grass | 2 | 18 | 9 |
| White clover | 0 | 26 | 5 |
| Plantain | 0 | 21 | 4 |
| Common reed | 0 | 0 | 22 |
| Water-dropwort group | 0 | 1 | 13 |
| Ferns | 15 | 0 | 3 |
| Other native plants | 24 | 16 | 20 |
| Invasive plants | 3 | 22 | 8 |
| Total abundance | 64 | 104 | 87 |
| Species detected | 12 | 9 | 15 |
Example Insect Survey Values
| Taxonomic group | Site A | Site B | Site C |
|---|---|---|---|
| Butterflies and moths | 5 | 14 | 11 |
| Bees and wasps | 7 | 18 | 9 |
| Beetles | 16 | 9 | 13 |
| Grasshoppers | 2 | 21 | 8 |
| Dragonflies | 1 | 2 | 17 |
| True bugs | 6 | 11 | 7 |
| Flies | 8 | 13 | 15 |
| Other | 9 | 12 | 14 |
| Total abundance | 54 | 100 | 94 |
| Taxonomic groups detected | 14 | 12 | 17 |
Diversity Indicators by Site
| Indicator | Site A | Site B | Site C |
|---|---|---|---|
| Plant species richness | 12 | 9 | 15 |
| Total plant abundance | 64 | 104 | 87 |
| Shannon index H’ | 2.21 | 1.84 | 2.48 |
| Simpson diversity 1−D | 0.86 | 0.78 | 0.90 |
| Evenness J’ | 0.89 | 0.84 | 0.92 |
| Proportion of invasive plants | 4.7% | 21.2% | 9.2% |
Example Occurrence by Quadrat
| Species | Plot 1 | Plot 2 | Plot 3 | Plot 4 | Plot 5 |
|---|---|---|---|---|---|
| Japanese silver grass | ○ | ○ | ○ | × | ○ |
| White clover | ○ | ○ | × | ○ | ○ |
| Plantain | ○ | × | ○ | ○ | × |
| Invasive plant X | ○ | ○ | ○ | ○ | ○ |
Example Seasonal Species Richness
| Season | Plants | Insects | Birds | Total |
|---|---|---|---|---|
| Spring | 18 | 15 | 9 | 42 |
| Summer | 22 | 31 | 7 | 60 |
| Autumn | 19 | 24 | 11 | 54 |
| Winter | 11 | 5 | 14 | 30 |
Number of Species Shared Between Sites
| Comparison | Species at Site 1 | Species at Site 2 | Shared species |
|---|---|---|---|
| Sites A and B | 12 | 9 | 4 |
| Sites A and C | 12 | 15 | 7 |
| Sites B and C | 9 | 15 | 6 |
Calculation Methods
Population Density
If five 1 m² quadrats are surveyed and 40 individuals are detected in total:
Survey area = 1 m² × 5 = 5 m²
Density = total abundance ÷ survey area
= 40 ÷ 5
= 8 individuals/m²
Relative Dominance
If Site B contains 26 white clover individuals out of 104 total individuals:
Relative dominance (%) = abundance of the species ÷ total abundance × 100
= 26 ÷ 104 × 100
= 25.0%
Frequency of Occurrence
If Japanese silver grass is detected in four of five plots:
Frequency (%) = occupied plots ÷ total plots × 100
= 4 ÷ 5 × 100
= 80%
Proportion of Invasive Species
If Site B contains 22 invasive-plant individuals out of 104 total plant individuals:
Proportion of invasive species (%) = invasive individuals ÷ total individuals × 100
= 22 ÷ 104 × 100
≈ 21.2%
Shannon Index
H’ = −Σpi ln pi
pi is the proportion obtained by dividing the abundance of each species by total abundance. In general, H’ increases as species richness increases and abundances become more even.
Example Shannon Index Calculation
If four species have abundances of 40, 30, 20, and 10, for a total of 100 individuals, their proportions are 0.40, 0.30, 0.20, and 0.10.
H’ = −{0.40 ln 0.40 + 0.30 ln 0.30 + 0.20 ln 0.20 + 0.10 ln 0.10}
≈ 1.28
Simpson Diversity Index
D = Σpi2
Simpson diversity = 1 − D
A value of 1−D closer to 1 indicates that individuals are distributed among multiple species.
Example Simpson Index Calculation
D = 0.40² + 0.30² + 0.20² + 0.10²
= 0.30
1 − D = 0.70
Evenness
J’ = H’ ÷ ln S
S is the number of species detected. For four species and H’ = 1.28:
J’ = 1.28 ÷ ln 4
≈ 0.92
Jaccard Similarity
If Site A has 12 species, Site B has 9 species, and 4 species are shared:
Jaccard similarity = shared species ÷ (species at A + species at B − shared species)
= 4 ÷ (12 + 9 − 4)
= 4 ÷ 17
≈ 0.24
Sørensen Similarity
Sørensen similarity = 2 × shared species ÷ (species at A + species at B)
= 2 × 4 ÷ (12 + 9)
≈ 0.38
Detection Rate per Unit Survey Time
If 18 species are detected in 30 minutes:
Detection rate = species detected ÷ survey time
= 18 ÷ 0.5 hours
= 36 species/hour
Mean and Standard Deviation
If the same site is surveyed three times and 14, 16, and 15 species are detected:
Mean = (14 + 16 + 15) ÷ 3 = 15 species
s = √{Σ(xi − x̄)2 ÷ (n − 1)}
= 1.0 species
Main Sources of Error
| Source of error | Effect on results | Improvement |
|---|---|---|
| Different survey areas | Larger sites tend to yield more species | Compare equal areas |
| Different survey durations | Longer surveys detect more species | Standardize survey duration |
| Different numbers of observers | More observers increase detections | Standardize observer number or effort |
| Different survey routes | Different habitats are included | Use the same route |
| Quadrat placement | Choosing conspicuous locations introduces bias | Place quadrats randomly or at fixed intervals |
| Seasonal differences | Species occurrence and activity change | Compare the same season or multiple seasons |
| Different survey times | Bird and insect activity changes | Standardize time of day |
| Different weather | Insect and bird activity may decrease | Record weather and match conditions |
| Wind | Insects and calls are harder to detect | Avoid strong winds |
| Immediately after rainfall | Activity and distribution may change temporarily | Record rainfall conditions |
| Observer experience | Identification and detection rates differ | Use field guides and shared criteria |
| Misidentification of similar species | Species richness may be over- or underestimated | Record uncertain organisms at a higher taxonomic level |
| Identification from calls alone | Birds or insects may be misidentified | Combine appearance, calls, and habitat information |
| Double-counting individuals | Abundance is overestimated | Record movement direction and position |
| Counting rules for colonial organisms | The definition of an individual is inconsistent | Specify units such as plants, colonies, or stems |
| Ignoring underground plant parts | Separate shoots may be treated as one individual | Use cover when appropriate |
| Missing small species | Species richness is underestimated | Carefully inspect the ground, litter, and plants |
| Missing nocturnal species | They cannot be detected in daytime surveys | Conduct time-specific surveys under safe management |
| Transient individuals | Resident species may be overestimated | Record behavior and habitat |
| Differences in capture equipment | Taxonomic groups sampled are biased | Use the same equipment and number of sampling attempts |
| Different numbers of sweeps | Insect catch changes | Standardize the number and manner of sweeps |
| Vegetation height | Sampling efficiency changes even with the same method | Record environmental conditions |
| Observer differences in estimating cover | Plant abundance estimates differ | Use defined classes and photographs |
| Chance detection of rare species | Can strongly affect comparisons from short surveys | Confirm with repeated surveys |
| Insufficient identification of invasive species | They may be confused with native species | Consult regional invasive-species references |
| Including individuals outside the plot | Density and frequency are overestimated | Define boundary counting rules |
| Mixed taxonomic ranks | Species and families are counted equally | Standardize the unit of analysis |
| Excluding unidentified organisms | Diversity is underestimated | Distinguish them as Unknown Species A, etc. |
| Disturbance caused by specimen collection | Organisms and habitats are affected | Prioritize photographic records |
| Too few replicates | Chance differences may be mistaken for environmental differences | Survey multiple plots and repeat surveys |
| Evaluation using only diversity indices | Habitat quality or rare species may be overlooked | Also examine species composition and invasive species |
| Confusing species richness with abundance | Diversity is misunderstood | Report both separately |
Example Results
Plants and insects were surveyed at Site A, a deciduous forest; Site B, a park grassland; and Site C, a pond margin, using the same survey area and duration.
Plant species richness was 12 at Site A, 9 at Site B, and 15 at Site C. Total plant abundance was 64 at Site A, 104 at Site B, and 87 at Site C.
The plant Shannon index was 2.21 at Site A, 1.84 at Site B, and 2.48 at Site C. Simpson diversity was 0.86 at Site A, 0.78 at Site B, and 0.90 at Site C.
At Site B, white clover was most abundant at 26 individuals, with a relative dominance of 25.0%. The proportion of invasive plants was 21.2%, the highest of the three sites.
The numbers of insect taxonomic groups detected were 14 at Site A, 12 at Site B, and 17 at Site C, with Site C having the highest value.
Sites A and B shared four plant species, giving a Jaccard similarity of approximately 0.24.
Overall, Site C had high plant and insect richness and diversity indices, whereas Site B had high total abundance but also high proportions of particular dominant species and invasive plants.
Discussion Example
This survey compared species richness, abundance, dominance, and diversity indices of plants and insects among three contrasting environments: deciduous forest, park grassland, and a pond margin.
Plant species richness was highest at Site C, with 15 species, and its Shannon index, Simpson diversity, and evenness were 2.48, 0.90, and 0.92, respectively.
Site C included a pond, waterside wetland, and adjoining grassland, so both species favoring dry conditions and those favoring moist conditions could potentially occur there.
Such transition zones where different environments meet can provide a variety of habitat conditions and therefore support multiple biological groups.
Site C also had the highest number of insect taxonomic groups, 17, and dragonflies were especially abundant, with 17 individuals.
The pond provides aquatic habitat for dragonfly larvae, while surrounding grassland and vegetation provide places for adults to rest, forage, and emerge.
The continuity of aquatic and terrestrial habitats may therefore have increased insect diversity.
Site A had fewer plant species than Site C, at 12, but its Shannon index of 2.21 and evenness of 0.89 were relatively high.
Forest-adapted species such as Konara oak, Japanese blue oak, and ferns were found at Site A. Because the canopy limits sunlight, grassland plants requiring strong light were likely less common.
On the other hand, diverse microhabitats occur vertically and structurally in litter, bark, fallen wood, and soil, which may explain the relatively high number of beetles.
Site B had the highest total plant abundance, 104 individuals, but the lowest species richness, 9, and the lowest Shannon index, 1.84.
This shows that high abundance does not necessarily mean high biodiversity.
At Site B, a few species such as white clover, plantain, Japanese silver grass, and invasive plants accounted for much of the community.
Park grasslands are repeatedly disturbed by mowing, trampling, and cleaning. Species tolerant of such disturbance may become dominant, while species dependent on forests or wetlands may decline.
The proportion of invasive plants at Site B was 21.2%, higher than the 4.7% at Site A and 9.2% at Site C.
In places with frequent movement of people and vehicles, construction, and lawn management, seeds can be introduced easily and invasive plants adapted to disturbed habitats may establish readily.
However, the mere presence of invasive species does not by itself mean that the environmental condition of a site is poor.
Their effects should be assessed through continued surveys of competition with native species, occupation of plant communities, and impacts on ecosystem functions.
The Jaccard similarity between Sites A and B was approximately 0.24, indicating relatively few shared plant species.
This likely reflects major differences in light, moisture, management, and human disturbance between the shaded forest at Site A and the sunny grassland at Site B.
Sites A and C shared seven species and were more similar than Sites A and B.
This may be because parts of Site C contained trees and shade, allowing some species associated with forest edges to occur there.
However, similarity indices based only on presence or absence do not reflect differences in abundance. The same species may occur as one individual at one site and as many individuals at another.
For more detailed comparisons of community structure, abundance-based measures such as Bray–Curtis dissimilarity can also be used.
In the seasonal survey, total species richness was highest in summer at 60 species. Insects were especially diverse, with 31 species, likely because higher air and water temperatures, plant growth, flowering, and increased food resources promoted activity.
In winter, insect richness fell to five species, whereas bird richness was highest at 14 species.
This may reflect the arrival of wintering birds and the greater visibility of birds in trees after leaves have fallen.
Therefore, a survey conducted in only one season cannot fully characterize the biodiversity of an area.
Among the diversity indices, Site C had the highest values and Site B the lowest. However, a site with a high diversity index is not necessarily the most important for conservation.
Even a site with low species richness may have high conservation value if it supports rare species or species dependent on a particular habitat.
In addition, invasive species can sometimes increase apparent species richness, so native, invasive, rare, and indicator species should be examined separately.
Although survey area, duration, and number of observers were standardized in this study, detection probability varies with weather, time of day, and observer experience.
Insects are strongly affected by temperature and wind, bird detections depend on the ability to identify calls, and plants may be difficult to identify when flowers or fruits are absent.
It is therefore important to survey the same sites repeatedly and integrate results from different seasons and times of day.
Unidentified organisms should not simply be excluded, because doing so underestimates diversity. Recording them separately as “Unknown Species A” or “Beetle A” allows later identification from photographs and field guides.
Overall, the complexity created where aquatic and terrestrial habitats meet likely contributed to the high plant and insect diversity at Site C.
Site A supported a forest-specific biota, while at Site B a small number of species tolerant of human management and disturbance were dominant.
Biodiversity should therefore be evaluated not only by species richness but also by evenness of abundance, species composition, invasive and rare species, habitat conditions, and seasonal change.
Discussion Example: High Species Richness but Low Diversity Index
If species richness is high but the diversity index is low, abundance may be concentrated in one or a few species. Relative dominance and evenness should be examined in addition to species richness.
Discussion Example: High Abundance but Low Species Richness
If total abundance is high but species richness is low, a few species adapted to the environment may dominate. Disturbances such as mowing, trampling, drying, or eutrophication may contribute to simplification of the community.
Discussion Example: Many Invasive Species
A high abundance of invasive species may result from seed introduction by people or vehicles, construction, bare-ground formation, or frequent management. Their abundance and distribution should be monitored over time to evaluate effects on native species.
Discussion Example: Few Shared Species Between Sites
Few shared species may indicate that environmental conditions such as light, moisture, vegetation structure, land use, and management differ, resulting in different biological communities at each site.
Discussion Example: Large Differences in Species Richness Between Survey Rounds
Differences among survey rounds may result from season, weather, time of day, organism movement, and observer detection rates. Rather than drawing conclusions from a single survey, use averages and frequencies from repeated surveys.
Discussion Example: A Rare Species Was Detected
If a rare species is detected, the site may retain food resources, breeding sites, vegetation, moisture conditions, or other habitat features used by that species. Exact location information should be handled carefully, and repeated surveys should be used to assess persistence and habitat conditions.
Summary
Biodiversity surveys evaluate biological communities using species richness, abundance, frequency of occurrence, dominance, and diversity indices.
High species richness and high abundance do not mean the same thing.
Shannon and Simpson indices make it possible to compare both species richness and unevenness in abundance.
Biodiversity is affected by vegetation, moisture, light, land use, human management, season, and other factors.
Accurate comparisons require standardizing survey area, duration, number of observers, and methods, and repeating surveys across multiple sites and seasons.
Conclusions should not be based on diversity indices alone; native species, invasive species, rare species, and habitat conditions should be considered together.
