Ambitious forest biodiversity conservation under scarce public funds: Introducing a deferrence mechanism to conservation auctions
The European Union's Biodiversity Strategy sets an ambitious goal to increase the area of protected land and sea to 30% with 10% devoted to strict protection by 2030. The large land areas required to fulfil the conservation target and the quick schedule of implementation challenge both the current policy instruments and public funding for conservation. We introduce a deferrence mechanism for forest conservation by using procurement auctions. Deferring the conservation payments allows the government to conserve large areas in a quicker schedule and distributing the financial burden of conservation cost for a longer period of time. The deferred payments are paid an interest. The interest earning and an auction mechanism for downpayments strengthens the incentives for landowners to take part in conservation. We characterize the general properties of the mechanism and run numerical simulations to find that the deferrence mechanism facilitates a quick conservation of stands and thereby minimizes the loss of ecologically valuable sites caused by harvesting risks. The analysis suggests that keeping the lending period no longer than 10 years and paying a 3% interest rate provides a compromise that works rather well and outperforms the up-front mechanism in most cases.
Code (0)
등록된 구현이 없습니다.
Similar Papers 제목 키워드 기반
DeepForestSound: a multi-species automatic detector for passive acoustic monitoring in African tropical forests, a case study in Kibale National Park
Passive Acoustic Monitoring (PAM) is widely used for biodiversity assessment. Its application in African tropical forests is limited by scarce annotated data, reducing the performance of general-purpose ecoacoustic model…
Multi-modal classification of forest biodiversity potential from 2D orthophotos and 3D airborne laser scanning point clouds
Accurate assessment of forest biodiversity is crucial for ecosystem management and conservation. While traditional field surveys provide high-quality assessments, they are labor-intensive and spatially limited. This stud…
Multi-modal ClassificationUnlocking tropical forest complexity: How tree assemblages in secondary forests boost biodiversity conservation
Secondary forests now dominate tropical landscapes and play a crucial role in achieving COP15 conservation objectives. This study develops a replicable national approach to identifying and characterising forest ecosystem…
EcoCast: A Spatio-Temporal Model for Continual Biodiversity and Climate Risk Forecasting
Increasing climate change and habitat loss are driving unprecedented shifts in species distributions. Conservation professionals urgently need timely, high-resolution predictions of biodiversity risks, especially in ecol…
Continual LearningPlanted: a dataset for planted forest identification from multi-satellite time series
Protecting and restoring forest ecosystems is critical for biodiversity conservation and carbon sequestration. Forest monitoring on a global scale is essential for prioritizing and assessing conservation efforts. Satelli…
Data AugmentationTime Series