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Effects of preference heterogeneity among landowners on spatial conservation prioritization

机译:土地所有者在空间保护优先级排序中的偏好异质性影响

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摘要

The participation of private landowners in conservation is crucial to efficient biodiversity conservation. This is especially the case in settings where the share of private ownership is large and the economic costs associated with land acquisition are high. We used probit regression analysis and historical participation data to examine the likelihood of participation of Danish forest owners in a voluntary conservation program. We used the results to spatially predict the likelihood of participation of all forest owners in Denmark. We merged spatial data on the presence of forest, cadastral information on participation contracts, and individual-level socioeconomic information about the forest owners and their households. We included predicted participation in a probability model for species survival. Uninformed and informed (included land owner characteristics) models were then incorporated into a spatial prioritization for conservation of unmanaged forests. The choice models are based on sociodemographic data on the entire population of Danish forest owners and historical data on their participation in conservation schemes. Inclusion in the model of information on private landowners' willingness to supply land for conservation yielded at intermediate budget levels up to 30% more expected species coverage than the uninformed prioritization scheme. Our landowner-choice model provides an example of moving toward more implementable conservation planning.
机译:私人土地所有者在保护方面的参与对于高效的生物多样性保护至关重要。私人所有权份额大的环境尤其如此,与与征地相关的经济成本很高。我们使用概率回归分析和历史参与数据来检查丹麦林业主参与志愿保护计划的可能性。我们使用结果来空间上预测所有森林所有者在丹麦参与的可能性。我们将空间数据融合在森林的存在,参与合同的地位信息以及有关森林所有者及其家庭的个人级别社会经济信息。我们包括预测参与物种生存的概率模型。然后将不知情和通知的(包括土地所有者特征)模型纳入空间优先级,以保护非托管林。选择模型是基于关于丹麦森林所有者的整个人口和历史数据参与保护计划的历史数据的社会阶段数据。纳入私人土地所有者愿意供应土地供应土地的信息模式,在中间预算水平上产生高达30%的预期物种覆盖率,而不是未经行为的优先级方案。我们的土地所有者选择模式提供了朝着更具可实现的保护计划移动的示例。

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