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A Preliminary Method of Predicting Plant Species Distributions Using the British National Vegetation Classification

机译:利用英国国家植被分类法预测植物物种分布的初步方法

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摘要

1. The British National Vegetation Classification (NVC) was used to develop a modelling system to predict the habitat suitability for plant species on the basis of environment and management information. 2. The model was developed for a subset of 27 plant communities (containing 534 species) in the area of the catchment of the River Tyne in north-east England. Environmental inputs into the model included climate and soil data, whilst management inputs included sheep stocking rates, fertilizer applications and cutting regimes. 3. The model was validated by comparing the predicted plant communities and species with those observed at two sites of contrasting scales: at a farm scale on 96 ha of moorland on a Northumberland farm, and at a landscape scale on 15km~2 of upland moor in Northumberland. 4. The accuracy of the model predictions for plant communities appeared to be related to their spatial scale, whilst the accuracy of species predictions was dependant on their constancy within communities. Predictions were more accurate for species than for communities. 5. The potential use of this modelling approach, and possible extensions to the methodology, are discussed in relation to land management.
机译:1.根据环境和管理信息,使用英国国家植被分类法(NVC)开发了一种建模系统,以预测植物栖息地的适宜性。 2.该模型是针对英格兰东北部泰恩河集水区27个植物群落(包含534种)的子集开发的。该模型的环境投入包括气候和土壤数据,而管理投入包括绵羊放养率,肥料施用和采伐方式。 3.通过将预测的植物群落和物种与在两个规模相反的地点观察到的植物群落和物种进行比较,以验证模型:在诺森伯兰郡农场的96公顷高沼地上的农场规模和在高地沼地15km〜2上的景观规模在诺森伯兰郡。 4.植物群落模型预测的准确性似乎与其空间尺度有关,而物种预测的准确性则取决于它们在群落中的恒定性。对物种的预测比对社区的预测更为准确。 5.讨论了与土地管理有关的这种建模方法的潜在用途以及该方法的可能扩展。

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