Research Portal

The causal revolution in biodiversity conservation

Research output: Contribution to journal › Article › peer-review

Standard Standard

The causal revolution in biodiversity conservation. / Jones, Julia P. G.; Shreedhar, Ganga.
In: Nature Human Behaviour, 24.05.2024.

Research output: Contribution to journal › Article › peer-review

HarvardHarvard

Jones, JPG & Shreedhar, G 2024, 'The causal revolution in biodiversity conservation', Nature Human Behaviour. https://doi.org/10.1038/s41562-024-01897-6

APA

Jones, J. P. G., & Shreedhar, G. (2024). The causal revolution in biodiversity conservation. Nature Human Behaviour. Advance online publication. https://doi.org/10.1038/s41562-024-01897-6

CBE

Jones JPG, Shreedhar G. 2024. The causal revolution in biodiversity conservation. Nature Human Behaviour. https://doi.org/10.1038/s41562-024-01897-6

MLA

Jones, Julia P. G. and Ganga Shreedhar. "The causal revolution in biodiversity conservation". Nature Human Behaviour. 2024. https://doi.org/10.1038/s41562-024-01897-6

VancouverVancouver

Jones JPG, Shreedhar G. The causal revolution in biodiversity conservation. Nature Human Behaviour. 2024 May 24. Epub 2024 May 24. doi: 10.1038/s41562-024-01897-6

Author

Jones, Julia P. G. ; Shreedhar, Ganga. / The causal revolution in biodiversity conservation. In: Nature Human Behaviour. 2024.

RIS

TY - JOUR

T1 - The causal revolution in biodiversity conservation

AU - Jones, Julia P. G.

AU - Shreedhar, Ganga

PY - 2024/5/24

Y1 - 2024/5/24

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.

U2 - 10.1038/s41562-024-01897-6

DO - 10.1038/s41562-024-01897-6

M3 - Article

JO - Nature Human Behaviour

JF - Nature Human Behaviour

SN - 2397-3374

ER -