Known distribution of Uruguayan amphibians and environmental predictors

Fuzzy logic modeling was employed to assess the distribution of amphibians in Uruguay using both expert knowledge and observational records. Fuzzy logic allowed for the assignment of continuous values between 0 and 1 to propositions based on fuzzy logical assumptions about the relationship between species and their environment. Models based on expert knowledge and species records were compared and combined, focusing on threatened species, those considered ubiquitous, and non-threatened/non-ubiquitous species. Results demonstrated equal or superior performance for threatened species according to expert knowledge compared to models based on species records, even when both had to classify the same set of records. Expert models predicted more restrictive favorable territories for threatened species. On the other hand, models based on observed records yielded the best-fitted models for non-threatened non-ubiquitous species and ubiquitous species. In summary, fuzzy logic proved to be an effec..., The recorded distribution, information on the geo-referenced occurrences of the species was extracted from the amphibian collection database of the Faculty of Sciences of the University of the Republic of Uruguay (Grattarola et al., 2020), and from the work of Núñez et al. (2004). According to experts sources, we considered the grid cells totally or partially contained in the range established by the experts for each species as grid cells with presence of the species (Maneyro and Carreira, 2012). 0 in the table indicate the grids without presences confirmed according to both sources of inormation, and therefore considered absences os pseudoabsences in the modelling procedure, in each case. 1. Grattarola F, Martínez-Lanfranco JA, Botto G, Naya DE, Maneyro R, Mai P, Hernández D, Laufer G, Ziegler L, González EM, da Rosa I, Gobel N, González A, González J, Rodales AL, Pincheira-Donoso D. Multiple forms of hotspots of tetrapod Biodiversity and the challenges of open-access data scarcity. Sc..., , # Known distribution of Uruguayan amphibians and environmental predictors Database with the presence of all amphibian species in Uruguay, both according to the knowledge of experts (from polygons with presence determined by them), and according to known field records. ## Description of the data and file structure An excel is presented, with two sheets. On the first sheet, the codes of the variables used in the analytical process of modeling the distribution of the species are explained. First appears the list of species, codes (acronyms) and detailed scientific name. And, secondly, the environmental variables or predictors, codes, and description of the variables or variable names. On the second sheet, all the variables appear in the same order, first the columns of the presences (1) and absences (0) of all the species, according to both sources of information analyzed (records (Rec) and experts (Exp)). Next are the columns of the environmental variables used in the modeling proces...本研究采用模糊逻辑（Fuzzy Logic）建模方法，融合专家知识与野外观测记录，对乌拉圭两栖动物的空间分布格局开展评估。模糊逻辑允许基于物种与环境间关系的模糊逻辑假设，为相关命题赋予0至1区间内的连续数值。本研究对基于专家知识的模型与基于物种观测记录的模型进行了对比与整合，研究对象涵盖受威胁物种、广布物种以及非受威胁/非广布物种三类。结果表明，即便需对同一组记录进行分类，基于专家知识的模型在受威胁物种的分布预测上，其表现优于或等同于基于物种记录的模型；专家模型为受威胁物种划定的适宜栖息地范围更为狭窄。而基于野外观测记录的模型，则在非受威胁非广布物种与广布物种的分布预测中取得了最优拟合效果。综上，模糊逻辑被证明是一种有效的……（原文未完整表述） 本研究中物种地理参照的发生点位数据，提取自乌拉圭共和国大学理学院两栖动物馆藏数据库（Grattarola等，2020）以及努涅斯（Núñez）等（2004）的研究成果。根据专家数据源，我们将各物种专家划定的分布范围内全部或部分包含的网格单元，视为该物种存在的网格单元（Maneyro与Carreira，2012）。表格中的0代表经两种信息源确认无物种存在的网格单元，因此在建模流程中被视为缺席值或伪缺席值（pseudoabsences）。 1. Grattarola F, Martínez-Lanfranco JA, Botto G, Naya DE, Maneyro R, Mai P, Hernández D, Laufer G, Ziegler L, González EM, da Rosa I, Gobel N, González A, González J, Rodales AL, Pincheira-Donoso D. 四足动物生物多样性热点的多种类型与开放获取数据匮乏的挑战。[原文未完整标注期刊信息] # 乌拉圭两栖动物已知分布与环境预测因子 本数据库收录乌拉圭所有两栖动物物种的存在记录，数据来源分为两类：一是专家划定的物种存在分布多边形，二是已公开的野外调查记录。 ## 数据与文件结构说明 本数据集为Excel格式文件，包含两个工作表。第一个工作表用于说明物种分布建模分析流程中所使用变量的编码规则：首先列出所有物种的代码（缩写）与完整学名，其次列出环境预测变量的代码、名称及变量描述。第二个工作表则按相同顺序呈现所有变量：首先是两类信息源（记录集Rec与专家集Exp）下所有物种的存在（1）与缺席（0）列，随后是建模流程中使用的环境变量列……（原文未完整表述）