Local conditions and policy design determine whether ecological compensation can achieve No Net Loss goals
- Laura Sonter
- Jeremy Simmonds
- James Watson
- Julia Jones
- Joseph Kiesacker
- Hugo Costa
- Leon Bennun
- Stephen Edwards
- Hedley Grantham
- Victoria Griffiths
- Kendall Jones
- Kei Sochi
- Phillipe Puydarrieux
- Fabien Quetier
- Helga Rainer
- Hugo Rainey
- Dilys Roe
- Musnanda Satar
- Britaldo Soares-Filo
- Malcolm Starkey
- Kerry ten Kate
- Ray Victurine
- Amrei von Hase
- Jessie Wells
- Martine Maron
Many nations use ecological compensation policies to address negative impacts of development projects and achieve No Net Loss (NNL) of biodiversity and ecosystem services. Yet, failures are widely reported. We use spatial simulation models to quantify potential net impacts of alternative compensation policies on biodiversity (indicated by native vegetation) and two ecosystem services (carbon storage, sediment retention) across four case studies (in Australia, Brazil, Indonesia, Mozambique). No policy achieves NNL of biodiversity in any case study. Two factors limit their potential success: the land available for compensation (existing vegetation to protect or cleared land to restore), and expected counterfactual biodiversity losses (unregulated vegetation clearing). Compensation also fails to slow regional biodiversity declines because policies regulate only a subset of sectors, and expanding policy scope requires more land than is available for compensation activities. Avoidance of impacts remains essential in achieving NNL goals, particularly once opportunities for compensation are exhausted.
Related links
Sonter, L., Simmonds, J., Watson, J., Jones, J., Kiesacker, J., Costa, H., Bennun, L., Edwards, S., Grantham, H., Griffiths, V., Jones, K., Sochi, K., Puydarrieux, P., Quetier, F., Rainer, H., Rainey, H., Roe, D., Satar, M., Soares-Filo, B., Starkey, M., ten Kate, K., Victurine, R., von Hase, A., Wells, J., Maron, M. (2021). Local conditions and policy design determine whether ecological compensation can achieve No Net Loss goals.
- Nature Research, London
https://pubs.iied.org/20071x