Modeled habitat suitability for five rare plants (Aliciella formosa, Sclerocactus cloverae, Townsendia gypsophila, Astragalus ripleyi, and Cymopterus spellenbergii) in New Mexico

This data bundle contains the final outputs from a VisTrails/SAHM workflow to model the potential distribution of 5 rare plants (Aliciella formosa, Sclerocactus cloverae, Townsendia gypsophila, Astragalus ripleyi, and Cymopterus spellenbergii) in northern New Mexico. These models utilized field data of spatially thinned occurrence locations and random background locations or random plus absence locations for the 5 species. Predictors included but were not limited to soil characteristics, topography, percent tree cover, bare ground, and continuous heat-insolation load index rasters. Details about both occurrence data and predictor inputs are included in the associated manuscript and Source Info section of this metadata. We developed models using five algorithms with VisTrails: Software for Assisted Habitat Modeling [SAHM 2.1.2], and combined these to create an ensemble of models for each species. For more information on the model creation process and interpretation of the final maps, see "Process Step" section.

The bundle documentation files are: 1) 'NMrareplant_SDM_project_metadata.xml' (this file) which contains FGDC metadata describing the archive bundle. 2) Ensemble geotiff for each of the 5 modeled species: 'Code_vX_HML.tif' where code is the first two letters of the genus and species and X is the iteration of the final model product. 3) Tailored raster predictor layers not otherwise publicly available that were used during the modeling process and their corresponding metadata.

本数据集包含基于VisTrails/辅助栖息地建模软件（Software for Assisted Habitat Modeling, SAHM）工作流生成的最终成果，该工作流用于模拟新墨西哥州北部5种珍稀植物的潜在分布区，涉及物种分别为美丽吉莉草（Aliciella formosa）、克洛弗硬仙人掌（Sclerocactus cloverae）、石生飞蓬（Townsendia gypsophila）、里普利黄芪（Astragalus ripleyi）以及斯佩伦贝格隐盘芹（Cymopterus spellenbergii）。

本次建模针对上述5个物种，采用经空间稀疏化处理的物种出现点位野外调查数据，辅以随机背景点位或随机点位结合缺失点位作为建模样本。建模所用的环境变量包括但不限于土壤特性、地形因子、林木覆盖率、裸地占比以及连续热辐射负荷指数栅格数据。有关物种出现数据与环境输入变量的详细说明，已收录于本元数据的关联研究论文及“来源信息（Source Info）”章节中。

我们借助SAHM 2.1.2与VisTrails平台，采用5种算法完成建模，并将各物种的多个单模型整合为集成模型。如需了解模型构建流程与最终分布图的解读方法，请参阅“流程步骤（Process Step）”章节。

本数据集包附带的文档文件包括：1）`NMrareplant_SDM_project_metadata.xml`（即本项目的物种分布模型（Species Distribution Model, SDM）元数据文件），其中包含联邦地理数据委员会（Federal Geographic Data Committee, FGDC）元数据，用于描述该存档包的相关信息。2）5个建模物种各自对应的集成模型GeoTIFF文件，命名格式为`Code_vX_HML.tif`，其中`Code`为物种属名与种名的前两个字母组合，`X`为最终模型产物的迭代版本号。3）建模过程中使用的定制化栅格环境变量图层（未在其他公开渠道公开）及其配套元数据。