Mazziotta Adriano, Mykkänen Reijo, Forsman Jukka T, Kangas Annika, Lindén Andreas, Melin Markus, Eyvindson Kyle
Natural Resources Institute Finland (Luke), Helsinki, Finland.
Natural Resources Institute Finland (Luke), Helsinki, Finland.
J Environ Manage. 2025 Aug;390:126409. doi: 10.1016/j.jenvman.2025.126409. Epub 2025 Jun 29.
Integrating spatial aspects in forest planning is essential to account for management effects across scales. Forest management impacts wildlife habitat quality by reducing key reproductive resources, posing challenges for balancing timber production with habitat conservation. Because forest species respond to habitat features at multiple spatial scales, the impact of management on habitat quality also varies across scales but remains poorly understood. In this study we evaluate how trade-offs between timber yield and habitat availability vary across species with different habitat needs and spatial scales. We simulated and optimized three boreal Finnish production landscapes spanning a gradient of management intensities using the MELA2.0 forest simulation package. Production possibility frontiers revealed trade-off between economic value (Net Present Value (NPV) of timber) and ecological value (grouse occupancy). Occupancy was modelled for four forest grouse species (hazel grouse, black grouse, capercaillie and willow grouse) using nationwide wildlife triangle census data and predictors related to forest structure and composition at biologically relevant scales: local (stand, ∼0.05 km), home-range (1 km) and landscape (5 km). A 1 % reduction in NPV increased occupancy on average by 7 % at the stand, 9 % at the home-range, and 26 % at the landscape scale. While patterns at smaller scales often mirrored broader trends, discrepancies in certain species-scale combinations highlighted the risk of mismanagement. Habitat quality peaked under conservation-oriented management, NPV under intensive forestry, while compromise solutions emerged from balanced management. The variation in trade-offs at different scales underscores the need for tailored, multi-scale planning to align economic and ecological objectives.
将空间因素纳入森林规划对于考虑不同尺度上的管理效果至关重要。森林管理通过减少关键繁殖资源影响野生动物栖息地质量,这给平衡木材生产与栖息地保护带来了挑战。由于森林物种在多个空间尺度上对栖息地特征做出反应,管理对栖息地质量的影响也因尺度而异,但仍知之甚少。在本研究中,我们评估了木材产量与栖息地可用性之间的权衡如何因具有不同栖息地需求和空间尺度的物种而异。我们使用MELA2.0森林模拟软件包,对三个管理强度呈梯度变化的芬兰北方生产景观进行了模拟和优化。生产可能性前沿揭示了经济价值(木材净现值(NPV))与生态价值(松鸡占有率)之间的权衡。利用全国野生动物三角普查数据以及与生物相关尺度(局部(林分,约0.05平方公里)、家域(1平方公里)和景观(5平方公里))的森林结构和组成相关的预测因子,对四种森林松鸡物种(榛鸡、黑琴鸡、黑嘴松鸡和柳雷鸟)的占有率进行了建模。NPV每降低1%,林分尺度上的占有率平均增加7%,家域尺度上增加9%,景观尺度上增加26%。虽然较小尺度上的模式通常反映了更广泛的趋势,但某些物种-尺度组合中的差异突出了管理不善的风险。栖息地质量在以保护为导向的管理下达到峰值,NPV在集约林业下达到峰值,而折衷方案则来自平衡管理。不同尺度上权衡的变化强调了需要进行量身定制的多尺度规划,以使经济和生态目标保持一致。