Quantitative Evidence for the Effects of Multiple Drivers on Continental-Scale Amphibian Declines

Since amphibian declines were first proposed as a global phenomenon over a quarter century ago, the conservation community has made little progress in halting or reversing these trends. The early search for a “smoking gun” was replaced with the expectation that declines are caused by multiple drivers. While field observations and experiments have identified factors leading to increased local extinction risk, evidence for effects of these drivers is lacking at large spatial scales. Here, we use observations of 389 time-series of 83 species and complexes from 61 study areas across North America to test the effects of 4 of the major hypothesized drivers of declines. While we find that local amphibian populations are being lost from metapopulations at an average rate of 3.79% per year, these declines are not related to any particular threat at the continental scale; likewise the effect of each stressor is variable at regional scales. This result - that exposure to threats varies spatially, and populations vary in their response - provides little generality in the development of conservation strategies. Greater emphasis on local solutions to this globally shared phenomenon is needed

Quantitative Evidence for the Effects of Multiple Drivers on Continental-Scale Amphibian Declines

Since amphibian declines were first proposed as a global phenomenon over a quarter century ago, the conservation community has made little progress in halting or reversing these trends. The early search for a “smoking gun” was replaced with the expectation that declines are caused by multiple drivers. While field observations and experiments have identified factors leading to increased local extinction risk, evidence for effects of these drivers is lacking at large spatial scales. Here, we use observations of 389 time-series of 83 species and complexes from 61 study areas across North America to test the effects of 4 of the major hypothesized drivers of declines. While we find that local amphibian populations are being lost from metapopulations at an average rate of 3.79% per year, these declines are not related to any particular threat at the continental scale; likewise the effect of each stressor is variable at regional scales. This result - that exposure to threats varies spatially, and populations vary in their response - provides little generality in the development of conservation strategies. Greater emphasis on local solutions to this globally shared phenomenon is needed

Quantitative evidence for the effects of multiple drivers on continental-scale amphibian declines.

Since amphibian declines were first proposed as a global phenomenon over a quarter century ago, the conservation community has made little progress in halting or reversing these trends. The early search for a "smoking gun" was replaced with the expectation that declines are caused by multiple drivers. While field observations and experiments have identified factors leading to increased local extinction risk, evidence for effects of these drivers is lacking at large spatial scales. Here, we use observations of 389 time-series of 83 species and complexes from 61 study areas across North America to test the effects of 4 of the major hypothesized drivers of declines. While we find that local amphibian populations are being lost from metapopulations at an average rate of 3.79% per year, these declines are not related to any particular threat at the continental scale; likewise the effect of each stressor is variable at regional scales. This result - that exposure to threats varies spatially, and populations vary in their response - provides little generality in the development of conservation strategies. Greater emphasis on local solutions to this globally shared phenomenon is needed

Acoustic Detection Simulation Code

R code used to simulate acoustic detection data. The detection process includes a rate of false positive detections occurrence

Model code

Code, in BUGS language, to implement the three models presented in the paper

Acoustic Detection Simulation Code

R code used to simulate acoustic detection data. The detection process includes a rate of false positive detections occurrence

Acoustic Detection Simulation Code

R code used to simulate acoustic detection data. The detection process includes a rate of false positive detections occurrence

Reduction of Bird Mortality in Operating Wind Farms: Collaborative research program MAPE

International audienceThe fourth webinar in our 'Energy & Nature' series, this time organised with the Arava Institute for Environmental Studies in Israel, focussed on the challenge of ensuring bird protection around onshore wind farms and examined solutions to reduce the threat on the populations. The potential risk for birds is a well-known issue that extends beyond Europe. Disturbance, loss of habitat, and direct mortality by collision with the blades can pose a real threat to some avian species. But proper planning and adequate mitigation measures can considerably reduce the risk for the populations. How so

Next generation serology: integrating cross-sectional and capture-recapture approaches to infer disease dynamics

International audienc

Data S2 - Green Treefrog

These are the detection data, used in the Green treefrog analysis, including (1) all types of detections, (2) true positive detections and (3) false positive detections