2018
DOI: 10.1016/j.ecolind.2018.07.001
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A framework for deriving measures of chronic anthropogenic disturbance: Surrogate, direct, single and multi-metric indices in Brazilian Caatinga

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Cited by 74 publications
(85 citation statements)
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“…The overall disturbance index varies from 0 (zero values for all component metrics) to 100 (maximum values of all component disturbance metrics) (for more details on chronic disturbance index see Arnan et al . ).…”
Section: Methodsmentioning
confidence: 97%
“…The overall disturbance index varies from 0 (zero values for all component metrics) to 100 (maximum values of all component disturbance metrics) (for more details on chronic disturbance index see Arnan et al . ).…”
Section: Methodsmentioning
confidence: 97%
“…To estimate intensity across a gradient of human‐induced disturbance, we adopted a multimetric disturbance index (sensu Arnan et al, ), which was computed from the integration of three different indices for the main types of CAD affecting the Caatinga dry forest: people pressure , livestock pressure , and wood extraction . The indices were computed using the formula originally proposed by Legendre and Legendre () to get an overall level of land‐use intensity.I=i=1nfalse(yi-yminfalse)/false(ymax-yminfalse)n×100where I is the disturbance intensity index, yi is the observed value for a given disturbance metric in plot i , ymin is the minimum observed value for the disturbance metric considering all plots, ymax is the maximum observed value for the disturbance metric considering all plots, and n is the number of individual disturbance metrics included in the index.…”
Section: Methodsmentioning
confidence: 99%
“…Livestock pressure and wood extraction were directly measured in the field through assessments of goat trail length, goat dung frequency, cattle dung frequency, live wood extraction (stem cuts) and coarse woody debris extraction (litter) within each plot (Arnan et al 2018a). Nontimber products were estimated via three variables related to the accessibility and influence of human activities in each plot: proximity to the nearest house, proximity to the nearest road and number of people living in each house that engage in the practices described above (Arnan et al 2018a). These three indirect disturbance indicators were integrated into a single metric -people pressure -by means of PCA analysis (Arnan et al 2018a).…”
Section: Characterization Of Disturbance and Rainfall Gradientsmentioning
confidence: 99%
“…These three indirect disturbance indicators were integrated into a single metric -people pressure -by means of PCA analysis (Arnan et al 2018a). For more details on the characterization of disturbance and calculation of the global multimetric index, Arnan et al (2018a). The compound index ranged from 2 to 58 (from the lowest to the highest level of disturbance) among the plots.…”
Section: Characterization Of Disturbance and Rainfall Gradientsmentioning
confidence: 99%
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