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首页> 外文期刊>Forestry >Forest inventories are a valuable data source for habitat modelling of forest species: an alternative to remote-sensing data.
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Forest inventories are a valuable data source for habitat modelling of forest species: an alternative to remote-sensing data.

机译：森林清单是用于森林物种栖息地建模的宝贵数据源：是遥感数据的替代方法。

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摘要

Habitat and species-distribution models are important tools in ecology, conservation and wildlife management. For the modelling of the species' habitat on small spatial scales, the availability of suitable habitat variables is crucial. Collecting data in the field often incurs considerable costs. Forest agencies, however, collect data on forest structure and composition on a large extent and with a fine grain (200 m x 200 m) during their forest inventories. Despite this the potential use of these data for habitat modelling and therefore conservation and wildlife management is still broadly neglected. Here, we evaluated and compared the performance of models based on environmental data derived purely from forest inventories, inventory data plus additional ecological information gained during the inventory, and aerial photographs to model the habitat of a forest species, the capercaillie (Tetrao urogallus L.). The best models developed from each of the three data sources showed a similar performance over the area (28 450 ha) and the considered grain (50 ha grids); all models had an area under the receiver operating characteristic curve (AUC) value >0.85, and various other metrics used for evaluating the models showed little differences. In all calibration plots, the predicted probabilities of presence were very similar to that of the observed probabilities, which indicated that our maps of the habitat suitability are a good representation of the real occurrences. This modelling of the capercaillie's habitat using existing forest inventory data was successful because the variables collected in standard inventories also have some meaning for the ecology of the species. To model the habitat of forest species that need special resources outside the scope of forestry, possible additional variables could be sampled at low extra costs during such large inventories. There is therefore the potential for forest inventories, currently undertaken to support commercial forestry, to be applied in conservation, thereby supporting a multifunctional forestry.
机译：栖息地和物种分布模型是生态，保护和野生动植物管理的重要工具。对于在小空间尺度上建立物种栖息地的模型，合适的栖息地变量的可用性至关重要。在现场收集数据通常会产生可观的成本。但是，森林机构在清查森林时，会在很大程度上收集有关森林结构和成分的数据，并且具有细粒（200 m x 200 m）。尽管如此，仍将这些数据用于栖息地建模以及保护和野生动植物管理的潜在用途仍然被广泛忽略。在这里，我们评估和比较了模型的性能，这些模型基于仅来自森林清单的环境数据，清单数据以及清单期间获得的其他生态信息以及航空照片来模拟森林物种（Capercaillie（Tetrao urogallus L. ）。根据这三个数据源中的每一个开发的最佳模型在该区域（28 450公顷）和所考虑的谷物（50公顷网格）上表现出相似的性能;所有模型的接收器工作特性曲线（AUC）值均大于0.85，并且用于评估模型的各种其他指标差异很小。在所有校准图中，预测的存在概率与观察到的概率非常相似，这表明我们的栖息地适应性图很好地表示了实际发生的情况。使用现有森林资源清册数据对Capercaillie的栖息地进行建模是成功的，因为在标准资源清册中收集的变量也对该物种的生态学具有一定意义。为了模拟需要在林业范围之外的特殊资源的森林物种的栖息地，可以在如此大量的清单期间以较低的额外成本对可能的附加变量进行抽样。因此，有可能将目前用于支持商品林业的森林清单用于保护，从而支持多功能林业。

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