Reconstructing landscapes for biodiversity: From predictive modelling to future scenarios

世界各地的许多景观实际上已经剥离了自然植被，导致当地生物多样性急剧下降。要在近期/中期缓解这种影响，需要大量的生态建议。我们将利用我们在基于地形、土壤和气候的景观中建立物种分布模型的技能来评估替代的景观重建方案。这将利用现有数据集进行初始建模、检验模型可靠性和改进模型的验证阶段以及随后的基于地理信息系统的建模阶段联系在一起，在这一阶段中，评估重建地貌的备选方案在维持景观规模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.