Species-area curve

In ecology, the species-area curve is a graph showing the number of species found in a defined area of a particular habitat or of habitats of different areas. It is related to, but not identical with, the species discovery curve. The species-area relationship is usually constructed for a single type of organism, such as all vascular plants or all species of a specific trophic level. It is rarely, if ever, constructed for all types of organisms if simply because of the prodigious data requirements. The species-area relationship is sometimes called as species-area theory.

Authors have classified the species-area relationship according to the type of habitats being sampled and the census design used. Frank Preston, an early investigator of the theory of the species-area relationship, divided it into two types: samples (a census of a contiguous habitat that grows in census area, also called "mainland" species-area relationships), and isolates (a census of discontiguous habitats, such as islands, also called "island" species-area relationships). Michael Rosenzweig also notes that species-area relationships for very large areas -- those collecting different biogeographic provinces or continents -- behave differently from species-area relationships from islands or smaller contiguous areas.

Regardless of census design and habitat type, species-area relationships are often fit with a simple function. Frank Preston advocated the power function based on his investigation of the lognormal species-abundance distribution. If S is the number of species, A is area, and c and z constants, then the power function species-area relationship goes as:

$S\; =\; cA^z$

which looks like a straight line on log-log axes:

$log(S)\; =\; log(c)\; +\; z\; log(A)$

In either case, the species-area relationship is almost always decelerating (has a negative second derivative) when plotted arithmetically.

Species-area relationships are often graphed for islands (or habitats that are otherwise isolated from one another, such as woodlots in an agricultural landscape) of different sizes. Although larger islands tend to have more species, it is possible that a smaller island will have more than a larger one. In contrast, species-area relationships for contiguous habitats will always rise as areas increases.

The species-area relationship for mainland areas (contiguous habitats) will differ according to the census design used to construct it. A common method is to use quadrats of successively larger size, so that the area enclosed by each one includes the area enclosed by the smaller one (i.e. areas are nested).

In the first part of the 20th century plant ecologists often used the species-area curve to estimate the minimum size of a quadrat necessary to adequately characterize a community. This is done by plotting the curve (usually on arithmetic axes, not log-log or semilog axes), and estimating the area after which using larger quadrats results in the addition of only a few more species. This is called the minimal area. A quadrat that encloses the minimal area is called a relevé, and using species-area curves in this way is called the relevé method. It was largely developed by the Swiss ecologist Josias Braun-Blanquet.

Estimation of the minimal area from the curve is necessarily subjective, so some authors prefer to define minimal area as the area enclosing at least 95 percent (or some other large proportion) of the total species found. The problem with this is that the species area curve does not usually approach an asymptote, so it is not obvious what should be taken as the total). In fact, the number of species always increases with area up to the point where the area of the entire world has been accumulated.

See also

• Scaling pattern of occupancy
• Species richness
• Storage effect
• Unified neutral theory of biodiversity (UNTB)

References