Annual Conference of the European Association of
Environmental and Resource Economists,
June 24-27 2015

City of Helsinki

University of Helsinki

Photo: Eero Roine
Source: Helsinki University Museum

Image not available

The inaugural procession of the Academy 1640

Conference dinner in Finlandia house (Alvar Aalto)

Boreal pine forest

Pre-conference workshop

EAERE 2015 Helsinki pre-conference workshop:
Economic-ecological models in resource economics

For detailed pre-conference programme, see the conference booklet:

Click here to download:

Date: 24 June 2015 (9:00-16:00)

Place: University of Helsinki Main building, address: Unioninkatu 34

Keynote addresses:

Jim Wilen

(UC Davis, Dept of Agricultural and Resource Economics):
“Economics of Spatial-Dynamic Processes”

Atte Moilanen

(University of Helsinki, Dept of Biosciences):
“Spatial prioritization methods for ecologically based environmental impact avoidance and biodiversity offsetting”


Spatial conservation prioritization methods answer questions related to spatial resource allocation in biodiversity conservation. These same methods can be applied in more general land use planning, where multiple benefits and multiple costs need to be balanced. In ecologically based applications biodiversity and the environment are usually described in fairly high detail and costs are aggregated in a relatively coarse manner. In resource economics, one could assume vice versa is often true.

In this presentation, I will illustrate ecologically based spatial prioritization methods by some examples, including ecologically informed environmental impact avoidance in peat mining in Finland and balancing agriculture and extractive land uses with expanded ecotourism in South Africa. The spatial prioritization methods described are publicly available in the software Zonation (v4), which is freely available from Zonation is, among other things, applicable to reserve network design, environmental impact avoidance, biodiversity offsetting, and for accounting of biodiversity and ecosystem services in general land use planning. The optimization method of Zonation differs from, e.g. integer programming applied to an objective function. In Zonation, the priority ranking is generated by an iterative process that applies stepwise minimization of marginal loss and re-balancing of benefits and costs through the (spatial) ranking.


Di Minin, E., MacMillan, D.C., Goodman, P.S., Escott, B., Slotow, R., and A. Moilanen. 2013. Businesses and conservation planning in a biological diversity hotspot. Cons. Biol., 27: 808-820.

Kareksela, S., Moilanen, A., Tuominen, S. and J.S. Kotiaho. 2013. Use of Inverse spatial conservation prioritization to avoid biodiversity loss outside protected areas. Conservation Biology, 27: 1294–1303.

Moilanen, A. 2013. Planning impact avoidance and biodiversity offsetting using software for spatial conservation prioritization. Wildlife Research, 40: 153-162.

Lehtomäki, J. and A. Moilanen. 2013. Methods and workflow for spatial conservation prioritization using Zonation. Environmental Modelling & Software, 47: 128-137.

Pouzols, F.M. ,  Toivonen, T,. Di Minin, E., Kukkala, A., Kullberg, P., Kuusterä,J, Lehtomäki, J., Tenkanen, H., Verburg, P.H. & Moilanen, A. (2014) Global protected area expansion is compromised by projected land-use and parochialism. Nature 516: 383–386.


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