Lehtomäki Joona, Tuominen Sakari, Toivonen Tuuli, Leinonen Antti
Department of Biosciences, University of Helsinki, Helsinki, Finland; Finnish Environment Institute, Natural Environment Centre, Helsinki, Finland.
Natural Resources Institute Finland, Vantaa, Finland.
PLoS One. 2015 Aug 28;10(8):e0135926. doi: 10.1371/journal.pone.0135926. eCollection 2015.
The boreal region is facing intensifying resource extraction pressure, but the lack of comprehensive biodiversity data makes operative forest conservation planning difficult. Many countries have implemented forest inventory schemes and are making extensive and up-to-date forest databases increasingly available. Some of the more detailed inventory databases, however, remain proprietary and unavailable for conservation planning. Here, we investigate how well different open and proprietary forest inventory data sets suit the purpose of conservation prioritization in Finland. We also explore how much priorities are affected by using the less accurate but open data. First, we construct a set of indices for forest conservation value based on quantitative information commonly found in forest inventories. These include the maturity of the trees, tree species composition, and site fertility. Secondly, using these data and accounting for connectivity between forest types, we investigate the patterns in conservation priority. For prioritization, we use Zonation, a method and software for spatial conservation prioritization. We then validate the prioritizations by comparing them to known areas of high conservation value. We show that the overall priority patterns are relatively consistent across different data sources and analysis options. However, the coarse data cannot be used to accurately identify the high-priority areas as it misses much of the fine-scale variation in forest structures. We conclude that, while inventory data collected for forestry purposes may be useful for forest conservation purposes, it needs to be detailed enough to be able to account for more fine-scaled features of high conservation value. These results underline the importance of making detailed inventory data publicly available. Finally, we discuss how the prioritization methodology we used could be integrated into operative forest management, especially in countries in the boreal zone.
北方地区正面临着日益加剧的资源开采压力,但由于缺乏全面的生物多样性数据,使得有效的森林保护规划变得困难。许多国家已经实施了森林清查计划,并使广泛且最新的森林数据库越来越容易获取。然而,一些更详细的清查数据库仍然是专有的,无法用于保护规划。在此,我们研究不同的开放和专有森林清查数据集在芬兰用于保护优先级设定目的时的适用程度。我们还探讨了使用不太准确但开放的数据会对优先级产生多大影响。首先,我们基于森林清查中常见的定量信息构建了一组森林保护价值指数。这些指数包括树木的成熟度、树种组成和立地肥力。其次,利用这些数据并考虑森林类型之间的连通性,我们研究保护优先级的模式。为了设定优先级,我们使用了“Zonation”,这是一种用于空间保护优先级设定的方法和软件。然后,我们通过将优先级与已知的高保护价值区域进行比较来验证这些优先级设定。我们表明,总体优先级模式在不同数据源和分析选项之间相对一致。然而,粗略的数据无法准确识别高优先级区域,因为它忽略了森林结构中许多精细尺度的变化。我们得出结论,虽然为林业目的收集的清查数据可能对森林保护有用,但它需要足够详细,以便能够考虑到具有高保护价值的更精细尺度的特征。这些结果强调了公开详细清查数据的重要性。最后,我们讨论了我们使用的优先级设定方法如何能够融入实际的森林管理中,特别是在北方地区的国家。