Imperial College London


Faculty of Natural SciencesDepartment of Life Sciences (Silwood Park)

Reader in Biodiversity and Ecosystems



+44 (0)20 7594 1059j.tobias




KennedySilwood Park






BibTex format

author = {Tobias, JA and Waldron, A},
doi = {10.1038/nature24295},
journal = {Nature},
pages = {364--367},
title = {Reductions in global biodiversity loss predicted from conservation spending},
url = {},
volume = {551},
year = {2017}

RIS format (EndNote, RefMan)

AB - Halting global biodiversity loss is central to the Convention on Biological Diversity and United Nations Sustainable Development Goals1,2, but success to date has been very limited3,4,5. A critical determinant of success in achieving these goals is the financing that is committed to maintaining biodiversity6,7,8,9; however, financing decisions are hindered by considerable uncertainty over the likely impact of any conservation investment6,7,8,9. For greater effectiveness, we need an evidence-based model10,11,12 that shows how conservation spending quantitatively reduces the rate of biodiversity loss. Here we demonstrate such a model, and empirically quantify how conservation investment between 1996 and 2008 reduced biodiversity loss in 109 countries (signatories to the Convention on Biological Diversity and Sustainable Development Goals), by a median average of 29% per country. We also show that biodiversity changes in signatory countries can be predicted with high accuracy, using a dual model that balances the effects of conservation investment against those of economic, agricultural and population growth (human development pressures)13,14,15,16,17,18. Decision-makers can use this model to forecast the improvement that any proposed biodiversity budget would achieve under various scenarios of human development pressure, and then compare these forecasts to any chosen policy target. We find that the impact of spending decreases as human development pressures grow, which implies that funding may need to increase over time. The model offers a flexible tool for balancing the Sustainable Development Goals of human development and maintaining biodiversity, by predicting the dynamic changes in conservation finance that will be needed as human development proceeds.
AU - Tobias,JA
AU - Waldron,A
DO - 10.1038/nature24295
EP - 367
PY - 2017///
SN - 0028-0836
SP - 364
TI - Reductions in global biodiversity loss predicted from conservation spending
T2 - Nature
UR -
UR -
VL - 551
ER -