Dataset of Local seed sourcing strategies in Spain

Strict-sense local seed-sourcing strategy (SSL) was defined for each deployment zone as the use of autochthonous populations pertaining to the same region of provenance for each species. Wide-sense local seed-sourcing strategy (WSL) was defined as the use of the pool of regions of provenance with a suitable climatic niche in each zone. Niche modelling was used to obtain the climate-predicted distribution of the species based on the actual presence and the climate (assuming no restrictions to dispersal and no human influence). Nine climatic variables were considered: mean annual (P), winter (WP), and summer (SP) precipitation, mean annual temperature (T), minimum temperature of the coldest month (MTC), maximum temperature of the warmest month (MTW), growing degree days (t>5°) (DD), total number of months under frost (t<0º) (F), duration of the drought period in months (P<2T) (DP). These variables have been used for modelling niche distribution of different forest species in Spain. A similarity index was obtained based on the Mahalanobis climatic distance (using the same set of climatic variables that in the niche modelling estimation, among the points with presence of the region of provenances and the points of each deployment zone. Based on this similarity the regions of provenance were classified as suitable or not for each deployment zone.针对每个布设区域，严格意义本地种源采种策略（Strict-sense local seed-sourcing strategy, SSL）被定义为：针对每一树种，使用源自同一原产地的本土种群。广义本地种源采种策略（Wide-sense local seed-sourcing strategy, WSL）则被定义为：针对每个布设区域，选用具备适宜气候生态位的多原产地种群集合。 本研究基于物种实际分布点位与气候数据（假设无扩散限制且不受人类活动干扰），通过生态位建模获取该物种的气候预测分布范围。本次建模共纳入九项气候变量：年平均降水量（P）、冬季降水量（WP）、夏季降水量（SP）、年平均气温（T）、最冷月最低温（MTC）、最热月最高温（MTW）、≥5℃生长度日（DD）、霜冻月份总数（t<0℃，F）、干旱期月数（判定标准为P<2T，DP）。上述变量已被用于西班牙不同森林树种的生态位分布建模。基于马哈拉诺比斯气候距离（使用与生态位建模估算时相同的气候变量集），针对种源地分布点位与各布设区域的点位，计算得到相似性指数。基于该相似性指数，可针对每个布设区域将种源地划分为适宜或不适宜两类。