San Gabriel Slender Salamander Predicted Habitat - CWHR A053 [ds2013]

CWHR Predicted Habitat Models represent areas of predicted suitable habitat for each species within its range. These models are built from the following principal inputs: 1) a statewide, best-available vegetation map (FVEG); 2) GIS data representing a species’ range; 3) the CWHR database of habitat suitability values for over 700 terrestrial vertebrate species. Habitat suitability ranks of Low (non-zero values less than 0.34), Medium (0.34-0.66), and High (greater than 0.66) are based on the maximum suitability value across the 3 species life requisites: reproduction, feeding, and cover. Note that previous versions of these Predicted Habitat Models used an average across the 3 life requisites in order to obtain an overall suitability score for each habitat type and stage class. Habitat suitability scores were developed based on habitat patch sizes greater than 40 acres in size and are best interpreted for habitat patches greater than 200 acres in size. The FVEG landcover dataset is an aggregation of multiple statewide landcover and regional vegetation mapping efforts, conducted at different points in time (approximately 1990 up to time of publishing) and at various resolutions, compiled by the California Department of Forestry and Fire Protection (CALFIRE). FVEG uses the most current and consistent data available for each region of the state. Decision rules were developed that controlled which layers were given priority in areas of overlap. Crosswalks were used to attribute the various data sources according to the CWHR habitat-type classification system. Attributing FVEG with CWHR habitat types allows for the extraction of areas with non-zero suitability values for each species within the bounds of its range, creating a series of maps of predicted suitable habitat which are species-specific. Because FVEG is an amalgam of disparate landcover assessment efforts across the state, the predictive power for determining suitable habitat will vary between species, and possibly even regionally for species which are widely distributed. While these maps represent CDFW’s best estimate of the presence of suitable habitat for any given species in the CWHR system, these maps are also limited by several factors: 1) the accuracy and resolution of vegetation maps in a given region; 2) the dynamic nature of the landscape in which fire and other disturbance events alter conditions at a greater frequency than mapping efforts can track; 3) the currency of expert knowledge, particularly as species adapt to changing land and climate conditions and the shifting of other species’ ranges; 4) the frequency of species-specific surveys across a representative sample of a species’ entire range; 5) metapopulation dynamics, which describes the shifting of populations within their environment as result of numerous types of interactions and responses. CWHR GIS data representing predicted suitable habitat should not be used to indicate the presence or absence of a particular species at any specific site. CWHR predicted habitat models are named according to the 4-character alpha-numeric CWHR ID assigned to each species (5 characters in the case of subspecies or other sub-taxa). There is also a “CWHR Revision Tracking Table” containing a record for each species, its CWHR ID, scientific name, common name, and range and habitat model data revision history. CWHR species range models, predicted habitat models, and GIS data of the statewide distribution of all CWHR habitat types, along with the CWHR revision tracking table, are available for download at https://www.wildlife.ca.gov/Data/CWHR.CWHR预测栖息地模型（CWHR Predicted Habitat Models）指代物种分布范围内的适宜栖息地预测区域。此类模型基于以下核心输入构建：1）全州最优可用植被图（FVEG）、2）代表物种分布范围的地理信息系统（GIS）数据、3）涵盖700余种陆生脊椎动物栖息地适宜性数值的CWHR数据库。 栖息地适宜性等级划分为低（非零值小于0.34）、中（0.34~0.66）和高（大于0.66），该分级基于物种三大生命必需条件——繁殖、取食与隐蔽的最大适宜性数值。 请注意，过往版本的此类CWHR预测栖息地模型曾采用三大生命必需条件的平均值，以获取每种栖息地类型与发育阶段的综合适宜性评分。栖息地适宜性评分基于面积大于40英亩的栖息地斑块制定，其最佳适用场景为面积大于200英亩的栖息地斑块。 FVEG土地覆盖数据集整合了多项全州土地覆盖与区域植被测绘成果，这些成果于不同时期（大致为1990年至发布之时）以不同分辨率完成，由加州林业和消防局（CALFIRE）汇编而成。FVEG采用该州各区域当前可得的最一致的可用数据，并制定了决策规则，以在重叠区域中确定优先采用的图层；同时采用数据映射对照表（Crosswalks）依据CWHR栖息地类型分类系统为各类数据源赋予属性。 将FVEG赋予CWHR栖息地类型属性后，即可在物种分布范围内提取具有非零适宜性数值的区域，生成一系列针对特定物种的适宜栖息地预测地图。 由于FVEG是整合全州各地不同土地覆盖评估成果的数据集，因此其确定适宜栖息地的预测能力会因物种而异，对于分布范围广泛的物种甚至会因区域不同而存在差异。 尽管此类地图代表了加州鱼类与野生动物部（CDFW）对CWHR系统中任一物种适宜栖息地存在情况的最优估算结果，但此类地图仍受若干因素限制：1）特定区域内植被图的精度与分辨率；2）景观的动态性：火灾与其他干扰事件改变生境条件的频率高于测绘工作的追踪速度；3）专家知识的时效性，尤其是在物种适应不断变化的土地与气候条件以及其他物种分布范围发生偏移的情况下；4）针对物种整个分布范围的代表性样本中物种特异性调查的频率；5）复合种群动态：即种群因多种类型的相互作用与响应导致其栖息环境内种群分布发生动态变化。 代表CWHR预测适宜栖息地的地理信息系统数据不得用于指示特定地点是否存在某一特定物种。 CWHR预测栖息地模型按照为每一物种所分配的4位字母数字CWHR ID命名，亚种或其他亚类群的物种则采用5位字符。此外，设有“CWHR修订跟踪表（CWHR Revision Tracking Table），该表包含每一物种的记录，包括其CWHR ID、学名、通用名、分布范围以及栖息地模型数据的修订历史。 CWHR物种分布模型、CWHR预测栖息地模型以及涵盖所有CWHR栖息地类型全州分布的地理信息系统数据，连同CWHR修订跟踪表，均可从https://www.wildlife.ca.gov/Data/CWHR下载获取。