NSW Forest Monitoring and Improvement Program Biodiversity Model Outputs: SOMs, Maxent & NARCliM (climate) Projections

This dataset contains a series of spatial outputs describing probabilistic species predictive occupancy (Species Occupancy Models, or SOM) & habitat suitability (Maximum Entropy, or Maxent) surfaces, the underlying data used to calculate these models & model projections predicting the impact of climate change on flora Maxent surfaces. Model outputs are combination outputs dependent on known species occurrence in the landscape, the species relationship with environmental variables (covariates) such as temperature, rainfall and topography; and its predicted occurrence based on covariate analysis. Maxent models do not predict actual occupancy, but rather habitat suitability, while SOMs predict actual occupancy. confounding factors such as inter-species competition, geographical barriers and disturbance events play a significant role in species occurrence, and are not considered in Maxent or SOM. Flora Maxent climate change projections used NSW and Australian Regional Climate Modelling (NARCliM) variables to predict habitat suitability for a baseline year 2000 and projections for 2030 and 2070. Covariates, Fauna & Flora survey records used to create the models are included. More detailed information regarding each model, its processes and outputs are included in the dataset. A web mapping application on the NSW Spatial Collaboration Portal depicts Maxent & SOM of a selected group of vulnerable Flora & Fauna from this dataset. Access the webapp through the link below: https://portal.spatial.nsw.gov.au/portal/home/item.html?id=78e6ae3d34aa45d2b8118fd0308d6459本数据集包含一系列空间输出成果，用于描述物种概率性占用预测（物种占用模型，Species Occupancy Models，简称SOM）与栖息地适宜性（最大熵模型，Maximum Entropy，简称Maxent）曲面，同时包含用于构建上述模型，以及用于计算预测气候变化对植物类群最大熵模型曲面影响的模型投影的基础数据。 模型输出为组合式成果，其生成依赖于景观中已记录的已知物种出现点位、物种与温度、降水及地形等环境协变量（covariates）的关联关系，以及基于协变量分析得到的物种预测出现概率。最大熵模型仅能预测栖息地适宜性，而非实际的物种占用情况；而物种占用模型则可直接预测实际的物种占用状况。种间竞争、地理屏障与干扰事件等混淆因素会对物种出现产生显著影响，但此类因素未被纳入最大熵模型或物种占用模型的考量范围。 本次植物类群的气候变化投影研究，采用了新南威尔士州与澳大利亚区域气候建模（NSW and Australian Regional Climate Modelling，简称NARCliM）的气候变量，以预测基准年2000年的栖息地适宜性，以及2030年与2070年的气候情景下的适宜性投影。 本数据集同时收录了用于构建上述模型的环境协变量数据与动植物调查记录。 数据集内还包含各模型的详细建模流程、输出成果说明及相关技术细节。 新南威尔士州空间协作门户（NSW Spatial Collaboration Portal）内置的网页制图应用，可可视化展示本数据集内筛选出的一批受威胁动植物类群的最大熵模型与物种占用模型结果。可通过以下链接访问该网页应用： https://portal.spatial.nsw.gov.au/portal/home/item.html?id=78e6ae3d34aa45d2b8118fd0308d6459