Dataset: Selecting tree species to restore forest under climate change conditions: complementing species distribution models with field experimentation

This repository contains the files associated with the following article: Sandoval-Martínez J, EI Badano, FA Guerra-Coss, JA Flores-Cano, J Flores, SM Gelviz-Gelvez, Felipe Barragán-Torres (2023) Selecting tree species to restore forest under climate change conditions: complementing species distribution models with field experimentation. Journal of Environmental Management, 329, article 117038. https://doi.org/10.1016/j.jenvman.2022.117038 Supplementary material 01 is a compressed file that contains two Microsoft Excel files with data that support the results of the study. A file correspond to Vachellia pennatula and the another file correspond to Prosopis laevigata. In both files, the first spreadsheet shows the occurrence data (latitude and longitude) used to calibrate the distribution model (SDM) of the corresponding species, the current values of the 19 bioclimatic variables associated with these coordinates and the Spearman correlation coefficients used to select the variables included in the SDM (selected variables are indicated in green). The second spreadsheet shows the current habitat occupancy probabilities of the target species estimated with the SDM at the geographic coordinates of occurrence points, while the table on the side shows the fraction of true presences dropping at the following probability categories: (1) habitat occupancy probabilities below 0.1 = unsuitable spatial units for the species, (2) habitat occupancy probabilities between 0.1 and 0.4 = barely suitable spatial units for the species, (3) habitat occupancy probabilities between 0.4 and 0.7 = moderately suitable spatial units for the species, and (4) habitat occupancy probabilities above 0.7 = highly suitable spatial units for the species. The third spreadsheet shows the one-thousand random geographic coordinates and the corresponding current and future habitat occupancy probabilities of each species. Future habitat occupancy probabilities are provided for three time periods (2041-2060, 2061-2080 and 2081-2100) at four radiative forcing levels each (2.6, 4.5, 7.0 and 8.5 W/m2). Supplementary material 02 is a compressed file that contains a folder for Vachellia pennatula and another folder for Prosopis laevigata. Each of these folders contains the summaries of the MaxEnt outputs that support the results of the corresponding SDM. Supplementary material 03 is a compressed Keyhole Markup Language file (KMZ) that contains interactive maps that are optimized for the desktop version of Google Earth. To accelerate visualization of maps, we recommend installing this software in a computer meeting the following requirements: CPU Intel Core i5 9th generation or higher, CPU clock speed 1.8 GHz or higher, random-access memory (RAM) 8 GB or higher, and video random access memory (VRAM) 1 GB or higher. Otherwise, opening this file may take several minutes. These maps are organized in a folder for Vachellia pennatula and another folder for Prosopis laevigata, which must be expanded for accessing the following information (click on the arrow on the left of folders to expand them): Current climate – Activating this folder (click the fox on the left of the folder) display the map of habitat occupancy probabilities of species across Mexico under the current climate. Period 2041-2060, 2061-2080 and 2081-2100 – Expanding each of these folders (click on the arrow on the left of folders) shows four subfolders that correspond to different radiative forcing levels (2.6, 4.5, 7.0 and 8.5 W/m2). Activating each of these sub folders (click the fox on the left of subfolders) display the map of habitat occupancy probabilities of species across Mexico expected on the corresponding time period and radiative forcing level. These maps also show the areas classified as climatically unsuitable in the multivariate environmental similarity surface (MESS) analysis. Clicking on the names of subfolders displays a figure showing the relationship between current and future habitat occupancy probabilities of the species on the corresponding time period and radiative forcing level. In these figures, the red line is the empirical relationship between these variables and the solid blue line is the theoretical relationship with intercept = 0 and slope = 1. The statistical results that support these relationships are also shown in these figures. Supplementary material 04 is a compressed file that contains two Microsoft Excel files with data that support the results of the study. the file labeled as “Microclimate data” contains two spreadsheets, which correspond to the temperature and rainfall values measured in controls under the current climate and climate change simulation plots located of the field experiments. The file levelled as “Seedling emergence and survival” contains a spreadsheet for Vachellia pennatula and another one for Prosopis laevigata, which contains the data used to estimate the seedling emergence and survival rates in controls and climate change simulation plots.本仓库包含与下述论文相关的文件： Sandoval-Martínez J, EI Badano, Guerra-Coss FA, Flores-Cano JA, Flores J, Gelviz-Gelvez SM, Barragán-Torres F (2023) 气候变化条件下林木修复树种遴选：结合野外试验补充物种分布模型研究。《Journal of Environmental Management》，329，文章编号117038。https://doi.org/10.1016/j.jenvman.2022.117038 补充材料01为压缩文件，内含两份Microsoft Excel文件，用于支撑本研究的结果数据。其中一份文件对应*Vachellia pennatula*，另一份对应*Prosopis laevigata*。两份文件的第一个工作表均展示了用于校准对应物种**物种分布模型（Species Distribution Model, SDM）**的出现数据（纬度与经度）、与这些坐标关联的19个生物气候变量当前值，以及用于遴选SDM纳入变量的斯皮尔曼相关系数（被选中的变量以绿色标注）。第二个工作表展示了基于SDM估算的目标物种在出现点地理坐标处的当前生境占用概率；旁侧表格则展示了落入以下概率区间的真实出现点占比：(1) 生境占用概率低于0.1 = 该物种不适宜空间单元；(2) 生境占用概率介于0.1~0.4 = 该物种勉强适宜空间单元；(3) 生境占用概率介于0.4~0.7 = 该物种中度适宜空间单元；(4) 生境占用概率高于0.7 = 该物种高度适宜空间单元。第三个工作表展示了1000个随机地理坐标，以及各物种对应的当前与未来生境占用概率。未来生境占用概率提供了三个时段（2041-2060、2061-2080及2081-2100），每个时段对应四种辐射强迫水平（2.6、4.5、7.0及8.5 W/m²）。 补充材料02为压缩文件，内含分别对应*Vachellia pennatula*与*Prosopis laevigata*的两个文件夹。每个文件夹均包含支撑对应SDM研究结果的MaxEnt输出结果汇总文件。 补充材料03为压缩的Keyhole标记语言（Keyhole Markup Language, KMZ）文件，内含适配谷歌地球桌面版的交互式地图。为加速地图加载，建议在满足以下配置的设备上安装该软件：英特尔酷睿i5第九代及以上CPU、CPU主频1.8 GHz及以上、随机存取内存（RAM）8 GB及以上、视频随机存取内存（VRAM）1 GB及以上。若配置未达标，打开该文件可能耗时数分钟。 该地图按*Vachellia pennatula*与*Prosopis laevigata*分为两个文件夹，需点击文件夹左侧箭头展开以访问以下内容： 1. 当前气候：激活该文件夹（点击文件夹左侧的复选框）将展示当前气候条件下墨西哥全境的物种生境占用概率分布图。 2. 2041-2060、2061-2080及2081-2100时段：展开每个时段文件夹（点击文件夹左侧箭头）将显示四个子文件夹，分别对应不同辐射强迫水平（2.6、4.5、7.0及8.5 W/m²）。激活各子文件夹（点击子文件夹左侧的复选框）将展示对应时段与辐射强迫水平下，墨西哥全境物种的预期生境占用概率分布图，此类地图同时标注了多变量环境相似性表面（Multivariate Environmental Similarity Surface, MESS）分析中被归类为气候不适宜的区域。点击子文件夹名称将生成一幅图表，展示对应时段与辐射强迫水平下物种当前与未来生境占用概率的关系。其中红色线条为两变量间的经验拟合关系，蓝色实线为截距为0、斜率为1的理论拟合关系，图表中同时展示了支撑该关系的统计结果。 补充材料04为压缩文件，内含两份Microsoft Excel文件，用于支撑本研究的结果数据。标注为"Microclimate data"的文件包含两个工作表，分别对应野外试验中对照样地与气候变化模拟样地在当前气候条件下测得的气温与降雨量数据。标注为"Seedling emergence and survival"的文件包含两个工作表，分别对应*Vachellia pennatula*与*Prosopis laevigata*，内含用于估算对照样地与气候变化模拟样地中幼苗出苗率与存活率的数据。