Literature DB >> 19183208

Disturbance-response analysis: a method for rapid assessment of the threat to species in disturbed areas.

Carlos Martorell1, Edward M Peters.   

Abstract

We developed a method with which to analyze a specie's response to chronic anthropogenic disturbance (CAD). We regressed density of individuals on the intensity of 3 disturbance agents (human activities, raising livestock, and land degradation) along CAD gradients to determine how much CAD is experienced by a species; whether species are ruderal (achieving maximum densities in disturbed sites); whether density declines as a result of CAD; which disturbance agents are responsible for this reduction; and the number of populations that decline as a result of CAD. We tested the method on 9 threatened Mammillaria species (Cactaceae). Seven species were ruderal. In 4 species, actual disturbance surpassed the CAD intensity in which plants achieved their maximum densities; thus, the density of those 4 species appeared to be declining. For 7 species, some populations were threatened by human activities or livestock, whereas others were favored by them. Land degradation negatively affected all species. Our results allowed us to distinguish 4 groups of species that had similar responses and thus may require different forms of management. Our method provided an estimation of the growth rate (lambda) of the studied populations that was significantly correlated with lambdas obtained from demographic studies. The size structures of populations were consistent with the predictions of the analysis, which suggests our results are consistent and reliable. Disturbance-response analysis provides a basis for management in heavily populated areas, where conservation must be achieved along with development activities that cause CAD. The method provides readily interpretable information, which facilitates participative decision making; the data are rapidly generated, which makes it appropriate when results are required promptly or for assessment of large numbers of species; and it provides a comprehensive perception of how threatened species behave in the real world.

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Year:  2008        PMID: 19183208     DOI: 10.1111/j.1523-1739.2008.01134.x

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


  4 in total

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2.  Integrating landscape disturbance and indicator species in conservation studies.

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Journal:  PLoS One       Date:  2013-05-01       Impact factor: 3.240

3.  Plant diversity is closely related to the density of zokor mounds in three alpine rangelands on the Tibetan Plateau.

Authors:  Yujie Niu; Jianwei Zhou; Siwei Yang; Bin Chu; Huimin Zhu; Bo Zhang; Qiangen Fang; Zhuangsheng Tang; Limin Hua
Journal:  PeerJ       Date:  2019-05-13       Impact factor: 2.984

4.  Reconstructing shifts in vital rates driven by long-term environmental change: a new demographic method based on readily available data.

Authors:  Edgar J González; Carlos Martorell
Journal:  Ecol Evol       Date:  2013-06-07       Impact factor: 2.912

  4 in total

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