TY - JOUR
T1 - The causal revolution in biodiversity conservation
AU - Jones, Julia P.G.
AU - Shreedhar, Ganga
N1 - Publisher Copyright:
© Springer Nature Limited 2024.
PY - 2024
Y1 - 2024
N2 - Causal inference is needed to understand whether conservation is working. There is a substantial role for behavioural science, as interventions often depend on behaviour change. A focus on design over data, embracing mixed methods and support from funders will help to provide the evidence needed to reverse biodiversity loss.
AB - Causal inference is needed to understand whether conservation is working. There is a substantial role for behavioural science, as interventions often depend on behaviour change. A focus on design over data, embracing mixed methods and support from funders will help to provide the evidence needed to reverse biodiversity loss.
UR - http://www.scopus.com/inward/record.url?scp=85194428023&partnerID=8YFLogxK
U2 - 10.1038/s41562-024-01897-6
DO - 10.1038/s41562-024-01897-6
M3 - Comment/Letter to the editor
AN - SCOPUS:85194428023
SN - 2397-3374
VL - 8
SP - 1236
EP - 1239
JO - Nature Human Behaviour
JF - Nature Human Behaviour
IS - 7
ER -