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What Data to Use for Forest Conservation Planning? A Comparison of Coarse Open and Detailed Proprietary Forest Inventory Data in Finland

机译:哪些数据可用于森林保护规划?芬兰粗略公开和详细的专有森林清单数据的比较

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摘要

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.
机译:北方地区面临着越来越大的资源开采压力,但是缺乏全面的生物多样性数据使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单计划,并正在使越来越广泛的最新森林数据库可用。但是,一些更详细的清单数据库仍然是专有的,无法用于保护规划。在这里,我们调查了不同的开放森林和专有森林资源清单数据集如何满足芬兰保护优先次序的目的。我们还将探讨使用不太准确但开放的数据会影响多少优先级。首先,我们根据常见于森林资源清查中的定量信息构建一套森林保护价值指标。这些包括树木的成熟度,树木的种类组成和场地的肥力。其次,利用这些数据并考虑森林类型之间的联系,我们研究了保护优先级的模式。对于优先级划分,我们使用分区法,一种用于空间保留优先级划分的方法和软件。然后,我们通过将优先级与具有较高保护价值的已知区域进行比较来验证优先级。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。但是,由于粗略数据缺少森林结构的许多精细尺度变化,因此不能用于精确识别高优先级区域。我们得出的结论是,尽管为林业目的收集的清单数据可能对森林保护目的有用,但它需要足够详细,以便能够说明具有较高保护价值的更精细的特征。这些结果强调了公开详细库存数据的重要性。最后,我们讨论如何将我们使用的优先排序方法整合到可操作的森林管理中,尤其是在北方地区的国家。

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