Reconstructing landscapes for biodiversity: From predictive modelling to future scenarios

世界上许多地区的自然植被被有效地剥夺，导致当地生物多样性急剧下降。在近期/中期将来减轻这种影响需要大量的生态咨询意见。我们将运用我们在基于地形、土壤和气候的景观物种分布建模方面发展起来的技能来评估其他景观重建方案。这将现有数据集用于初始建模的使用、用于测试模型可靠性和改进模型的验证阶段，以及随后基于gis的建模阶段联系在一起，在这个阶段，重建景观的备选方案将被评估其在维持景观尺度本地生物多样性方面的有效性。

Many landscapes around the world have been effectively denuded of natural vegetation, causing precipitous declines in native biodiversity. Mitigation of such effects in the near/medium-term future requires substantial ecological advice. We will employ our skills developed in modelling distributions of species across landscapes based on terrain, soils and climate to assess alternative landscape-reconstruction scenarios. This links use of existing data sets for initial modelling, a validation phase for testing model reliability and for refining models, and a subsequent GIS-based modelling phase in which alternative options for reconstructing landscapes are evaluated for their effectiveness in sustaining landscape-scale native biodiversity.