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首页> 外文期刊>Applied Mathematical Modelling >Fuel treatment planning: Fragmenting high fuel load areas while maintaining availability and connectivity of faunal habitat
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Fuel treatment planning: Fragmenting high fuel load areas while maintaining availability and connectivity of faunal habitat

机译：燃料处理计划：在保持高燃料负载区域的同时保持动植物栖息地的可用性和连通性

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Reducing the fuel load in fire-prone landscapes is aimed at mitigating the risk of catastrophic wildfires but there are ecological consequences. Maintaining habitat for fauna of both sufficient extent and connectivity while fragmenting areas of high fuel loads presents land managers with seemingly contrasting objectives. Faced with this dichotomy, we propose a Mixed Integer Programming (MIP) model that can optimally schedule fuel treatments to reduce fuel hazards by fragmenting high fuel load regions while considering critical ecological requirements over time and space. The model takes into account both the frequency of fire that vegetation can tolerate and the frequency of fire necessary for fire-dependent species. Our approach also ensures that suitable alternate habitat is available and accessible to fauna affected by a treated area. More importantly, to conserve fauna the model sets a minimum acceptable target for the connectivity of habitat at any time. These factors are all included in the formulation of a model that yields a multi-period spatially-explicit schedule for treatment planning. Our approach is then demonstrated in a series of computational experiments with hypothetical landscapes, a single vegetation type and a group of faunal species with the same habitat requirements. Our experiments show that it is possible to fragment areas of high fuel loads while ensuring sufficient connectivity of habitat over both space and time. Furthermore, it is demonstrated that the habitat connectivity constraint is more effective than neighbourhood habitat constraints. This is critical for the conservation of fauna and of special concern for vulnerable or endangered species.
机译：减少易火地区的燃料负荷旨在减轻灾难性野火的风险，但会带来生态后果。维持足够广度和连通性的动物栖息地，同时将高燃料负荷的地区分割成片，这为土地管理者提供了看似相反的目标。面对这种二分法，我们提出了一种混合整数规划（MIP）模型，该模型可以最佳化地安排燃料处理，以通过分割高燃料负载区域来减少燃料危害，同时考虑到随时间和空间的关键生态要求。该模型考虑了植被可以忍受的火的频率以及与火有关的物种必需的火的频率。我们的方法还确保受治疗区域影响的动物有合适的替代生境可供使用。更重要的是，为了保护动物群，该模型在任何时候都为栖息地的连通性设定了最低可接受的目标。这些因素都包括在模型的制定中，该模型产生了针对治疗计划的多期空间明确计划。然后，在假设环境，单一植被类型和具有相同栖息地要求的一组动物物种的一系列计算实验中证明了我们的方法。我们的实验表明，可以分割高燃料负荷的区域，同时确保在时间和空间上都能够充分栖息地。此外，证明了栖息地连通性约束比邻里栖息地约束更有效。这对于保护动物群至关重要，对于脆弱或濒危物种尤其重要。

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