以市场为基础的保护的明智的空间激励措施
Smart spatial incentives for market-based conservation
摘要：
有人提出，付款、拍卖或可交易许可证等市场手段是保护私人土地上生物多样性的灵活和成本效益高的手段。保护服务的交易要求人们定义一个度量标准，以确定在何种程度上保护网站增加了区域保护目标。然而，虽然保护市场被广泛讨论，并越来越多地应用，很少有研究已经进行了明确的空间生态过程中的交易。在本文中，我们使用一个耦合的生态经济模拟模型来研究如何空间连接可能会被认为是在财政激励措施所创造的基于市场的保护计划。土地利用决策，不断变化的保护成本和保护市场的驱动下，模拟基于代理的模型的土地使用者。最重要的是，集合种群模型评估了市场的保守成功。我们发现，代理商的最佳空间激励与物种特征，如扩散距离，但它们也取决于保护成本的时空分布。我们的结论是，生态和社会经济条件的综合分析时，应适用于设计市场工具，以保护生物多样性。
英文摘要：
Market-based instruments such as payments, auctions or tradable permits have been proposed as flexible and cost-effective instruments for biodiversity conservation on private lands. Trading the service of conservation requires one to define a metric that determines the extent to which a conserved site adds to the regional conservation objective. Yet, while markets for conservation are widely discussed and increasingly applied, little research has been conducted on explicitly accounting for spatial ecological processes in the trading. In this paper, we use a coupled ecological economic simulation model to examine how spatial connectivity may be considered in the financial incentives created by a market-based conservation scheme. Land use decisions, driven by changing conservation costs and the conservation market, are simulated by an agent-based model of land users. On top of that, a metapopulation model evaluates the conservational success of the market. We find that optimal spatial incentives for agents correlate with species characteristics such as the dispersal distance, but they also depend on the spatio-temporal distribution of conservation costs. We conclude that a combined analysis of ecological and socio-economic conditions should be applied when designing market instruments to protect biodiversity.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
