Literature DB >> 17181816

Quantifying relative extinction risks and targeting intervention for the orchid flora of a natural park in the European preAlps.

Simon Pierce1, Roberta M Ceriani, Mauro Villa, Bruno Cerabolini.   

Abstract

Conservation currently relies largely on hindsight because demographic studies identify population decline after the event. Nevertheless, the degree of aggregation within a population is an "instantaneous" characteristic with the potential to identify populations presently at greatest risk of genetic impoverishment (via Allee effects and in-breeding depression) and local decline. We sought to determine the relative extinction risk for sympatric orchid species throughout Monte Barro natural park (Lecco, Italy), based on an index of dispersion (I) calculated from the size and location of subpopulations (recorded with GPS and mapped with GIS). Three population dispersion types were identified: (1) highly aggregated and locally abundant (large subpopulations restricted to particular sites; e.g., Gymnadenia conopsea [L.] R.Br.; I=54.5); (2) widespread and moderately aggregated (opportunistic throughout the elevational range of the mountain; e.g., Listera ovata[L.] R.Br.; I=18.9); and (3) weakly aggregated and locally rare (small, highly diffuse subpopulations; e.g., endemic Ophrys benacensis [Reisigl] O. & E. Danesch & Ehrend.; I=4.4). Type 1 populations are more likely to respond to in situ intervention, whereas type 2 are relatively invasive species for which conservation intervention is not necessary, and type 3 are rare species that are least likely to respond to habitat management, for which ex situ conservation and population reinforcement would be most appropriate. Although our methodology provides only a "snapshot" of aboveground patterns of population dispersion, it can help target the application of in situ and ex situ conservation activities proactively and is of particular utility for parks for which a rapid assessment of local extinction risks is needed.

Entities:  

Mesh:

Year:  2006        PMID: 17181816     DOI: 10.1111/j.1523-1739.2006.00539.x

Source DB:  PubMed          Journal:  Conserv Biol        ISSN: 0888-8892            Impact factor:   6.560


  2 in total

1.  Evaluating the ecological integrity of Atlantic forest remnants by using rapid ecological assessment.

Authors:  Hugo Reis Medeiros; José Marcelo Torezan
Journal:  Environ Monit Assess       Date:  2012-09-21       Impact factor: 2.513

2.  Population extinctions driven by climate change, population size, and time since observation may make rare species databases inaccurate.

Authors:  Thomas N Kaye; Matt A Bahm; Andrea S Thorpe; Erin C Gray; Ian Pfingsten; Chelsea Waddell
Journal:  PLoS One       Date:  2019-10-17       Impact factor: 3.240

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.