Aggregate-maximising land allocations are rarely individually rational: implications for negotiation between conservation and non-conservation organisations

Abstract Conservation often takes place in landscapes where organisations with conflicting objectives compete for the same land, with each land purchase changing the options available to other actors. Strategic conservation theory suggests that coordination between conservation and non-conservation organisations can avoid conflict and identify potential win-win outcomes. We examined this possibility using simulated landscapes and empirical estimates of carbon storage and timber value from British Columbia, Canada. We first generated a competitive allocation using a sequential heuristic in which the actors anticipate parcels of shared interest. We then reallocated parcels to maximise their combined score while preserving the number assigned to each actor. In the simulated landscapes, coordinated reallocation increased the combined score by an average of 0.51 to 0.53% across alternative turn order rules, but one actor gained while the other lost in 92 to 96% of simulations. In the empirical samples, the mean increase ranged from 1.00 to 1.13%, and coordination did not improve outcomes for both actors in any sample. The combined score achieved through coordination was unaffected by turn order, although turn order influenced how gains and losses were distributed between the actors. Coordinated allocation therefore improved aggregate outcomes but commonly left one organisation worse off than under the competitive allocation. These small and unevenly distributed gains may not be sufficient to offset the transaction costs of coordination.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2026-09-05
DOI
https://doi.org/10.1038/s41598-026-67778-2
Primary Topic
Forest Management and Policy
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Aggregate-maximising land allocations are rarely individually rational: implications for negotiation between conservation and non-conservation organisations

Aiden Price, Michael Bode
Scientific Reports
Forest Management and Policy
article

Aggregate-maximising land allocations are rarely individually rational: implications for negotiation between conservation and non-conservation organisations

Aiden Price, Michael Bode
article en

Abstract

Abstract Conservation often takes place in landscapes where organisations with conflicting objectives compete for the same land, with each land purchase changing the options available to other actors. Strategic conservation theory suggests that coordination between conservation and non-conservation organisations can avoid conflict and identify potential win-win outcomes. We examined this possibility using simulated landscapes and empirical estimates of carbon storage and timber value from British Columbia, Canada. We first generated a competitive allocation using a sequential heuristic in which the actors anticipate parcels of shared interest. We then reallocated parcels to maximise their combined score while preserving the number assigned to each actor. In the simulated landscapes, coordinated reallocation increased the combined score by an average of 0.51 to 0.53% across alternative turn order rules, but one actor gained while the other lost in 92 to 96% of simulations. In the empirical samples, the mean increase ranged from 1.00 to 1.13%, and coordination did not improve outcomes for both actors in any sample. The combined score achieved through coordination was unaffected by turn order, although turn order influenced how gains and losses were distributed between the actors. Coordinated allocation therefore improved aggregate outcomes but commonly left one organisation worse off than under the competitive allocation. These small and unevenly distributed gains may not be sufficient to offset the transaction costs of coordination.

Scientific Reports
Queensland University of Technology (AU)
Life in Land
Openalex Percentile: Top 13%
Forest Management and Policy
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.