TY - JOUR
T1 - How “science” can facilitate the politicization of charismatic megafauna counts
AU - Gopalaswamy, Arjun M.
AU - Elliot, Nicholas B.
AU - Ngene, Shadrack
AU - Broekhuis, Femke
AU - Braczkowski, Alexander
AU - Lindsey, Peter
AU - Packer, Craig
AU - Stenseth, Nils C.
PY - 2022/5/11
Y1 - 2022/5/11
N2 - Ideally, the practice of science stays independent, informs policy in real time, and facilitates learning. However, when large uncertainties go unreported or are not effectively communicated, science can, inadvertently, facilitate inappropriate politics. This unfortunate circumstance has likely occurred in the case of India’s official tiger (Panthera tigris) monitoring program and will conceivably reoccur during efforts to quantify population trends of African lions (P. leo). Attempts to arrive at population estimates at national and continent-wide scales are often so unreliable—the result of inappropriate questions, methods, or data—that interpreting population change may become a political, rather than a scientific, exercise. To minimize politicization of charismatic megafauna numbers or other quantities of interest to policymakers, researchers, and the general public (e.g., severe acute respiratory syndrome coronavirus 2 [SARS-CoV-2] cases, atmospheric CO2 levels) and generate conclusive evidence of change, we highlight the importance of realistically accounting for scale when designing and implementing rigorous science-based monitoring programs.
AB - Ideally, the practice of science stays independent, informs policy in real time, and facilitates learning. However, when large uncertainties go unreported or are not effectively communicated, science can, inadvertently, facilitate inappropriate politics. This unfortunate circumstance has likely occurred in the case of India’s official tiger (Panthera tigris) monitoring program and will conceivably reoccur during efforts to quantify population trends of African lions (P. leo). Attempts to arrive at population estimates at national and continent-wide scales are often so unreliable—the result of inappropriate questions, methods, or data—that interpreting population change may become a political, rather than a scientific, exercise. To minimize politicization of charismatic megafauna numbers or other quantities of interest to policymakers, researchers, and the general public (e.g., severe acute respiratory syndrome coronavirus 2 [SARS-CoV-2] cases, atmospheric CO2 levels) and generate conclusive evidence of change, we highlight the importance of realistically accounting for scale when designing and implementing rigorous science-based monitoring programs.
U2 - 10.1073/pnas.2203244119
DO - 10.1073/pnas.2203244119
M3 - Article
SN - 0027-8424
VL - 119
JO - Proceedings of the National Academy of Sciences of the United States of America
JF - Proceedings of the National Academy of Sciences of the United States of America
IS - 20
M1 - e2203244119
ER -