Measurement of biodiversity
Conservation biologists have designed a variety of objective means to measure biodiversity empirically. Each measure of biodiversity relates to a particular use of the data. For practical conservationists, measurements should include a quantification of values that are commonly shared among locally affected organisms, including humans. For others, a more economically defensible definition should allow the ensuring of continued possibilities for both adaptation and future use by humans, assuring environmental sustainability.
As a consequence, biologists argue that this measure is likely to be associated with the variety of genes. Since it cannot always be said which genes are more likely to prove beneficial, the best choice for conservation is to assure the persistence of as many genes as possible. For ecologists, this latter approach is sometimes considered too restrictive, as it prohibits ecological succession.
Taxonomic Diversity
Biodiversity is usually plotted as taxonomic richness of a geographic area, with some reference to a temporal scale. Whittaker[1] described three common metrics used to measure species-level biodiversity, encompassing attention to species richness or species evenness:
- Species richness - the least sophisticated of the indices available.
- Simpson index
- Shannon-Wiener index
Recently, another new index has been invented called the Mean Species Abundance Index (MSA); this index calculates the trend in population size of a cross section of the species. It does this in line with the CBD 2010 indicator for species abundance.[2]
Other Measures of Diversity
Alternatively, other types of diversity may be plotted against a temporal timescale:
- species diversity
- ecological diversity
- morphological diversity
- genetic diversity
A few studies have attempted to quantitatively clarify the relationship between different types of diversity. For example, Sarda Sahney a researcher at the University of Bristol has found a close link between vertebrate taxonomic and ecological diversity.[3]
Other authors tried to organize the measurements of biodiversity in the following way:[4]
- traditional diversity measures
- species density, take into account the number of species in an area
- species richness, take into account the number of species per individuals (usually [species]/[individuals x area])
- diversity indices, take into account the number of species (the richness) and their relative contribution (the evenness); e.g.:
- phylogenetic diversity measures, include information on phylogenetic relationships among species
- phylogenetic diversity (PD) index; Faith (1992)
- topology based measures
- taxonomic distinctiveness; Vane-Wright et al. (1991)
- taxonomic diversity; Warwick & Clarke (1995)
- taxonomic distinctness; Clarke & Warwick (1998)
- functional diversity measures, include information on functional traits among species
- categoric measures
- functional group richness (FGR); e.g., Tilman et al. (1997)
- continuous measures
- with only one functional trait; e.g., Mason et al. (2003)
- multivariate measures, with many functional traits
- functional attribute diversity (FAD); Walker et al. (1999)
- convex hull volume; Cornwell et al. (2006)
- functional diversity (FD); Petchey & Gaston (2002)
- categoric measures
Scale
Diversity may be measured at different scales. These are three indices used by ecologists:
- Alpha diversity refers to diversity within a particular area, community or ecosystem, and is measured by counting the number of taxa within the ecosystem (usually species)[5]
- Beta diversity is species diversity between ecosystems; this involves comparing the number of taxa that are unique to each of the ecosystems.
- Gamma diversity is a measurement of the overall diversity for different ecosystems within a region.
See also
- 2010 Biodiversity Indicators Partnership
- Adaptation
- Agroecological restoration
- Amazonian forest
- Applied ecology
- Ecological economics
- Extinction
- Biocomplexity
- Biogeography
- Bioinformatics
- BioWeb
- Canadian Biodiversity Information Network
- Conservation Biology
- Conservation Commons
- Conservation ethic
- Convention on Biological Diversity
- Diversity index
- Ecology
- Forest farming
- Ewens sampling formula
- Gene pool
- Genetic pollution
- Genetic erosion
- Global 200
- Global biodiversity
- Global warming
- Green Revolution
- GBIF
- Habitat fragmentation
- Habitat conservation
- Ongoing mass extinction of species
- IUCN
- International Day for Biological Diversity
- Intermediate Disturbance Hypothesis
- International Institute of Tropical Agriculture
- International Treaty on Plant Genetic Resources for Food and Agriculture
- List of biodiversity databases
- List of environmental issues
- List of environmental topics
- Living Planet Index
- Megadiverse countries
- Millennium Ecosystem Assessment
- Millennium Seed Bank Project
- Monoculture
- Mutation
- National Biodiversity Network
- Natural environment
- Nature
- NatureServe
- Nutritional biodiversity
- Reconciliation ecology
- rECOrd (Local Biological Records Centre)
- Satoyama
- Seedbank
- Sustainability
- Sustainable forest management
- Unified neutral theory of biodiversity
- United States environmental law
- Wild Solutions
- Wildlife preserve
- World Conservation Monitoring Centre
- World Conservation Union
- World Forestry Congress
- World Network of Biosphere Reserves
References
- ↑ Whittaker, R.H., Evolution and measurement of species diversity, Taxon, 21, 213–251 (1972)
- ↑ MSA Index (page 4)
- ↑ Sahney, S., Benton, M.J. and Ferry, P.A. (2010). "Links between global taxonomic diversity, ecological diversity and the expansion of vertebrates on land" (PDF). Biology Letters 6 (4): 544–547. doi:10.1098/rsbl.2009.1024. PMC 2936204. PMID 20106856.
- ↑ Cianciaruso, M.V., Silva, I.A. & Batalha, M.A. Diversidades filogenética e funcional: novas abordagens para a Ecologia de comunidades. Biota Neotrop. 9(3): .
- ↑ Sahney, S. and Benton, M.J. (2008). "Recovery from the most profound mass extinction of all time" (PDF). Proceedings of the Royal Society: Biological 275 (1636): 759–65. doi:10.1098/rspb.2007.1370. PMC 2596898. PMID 18198148.