Trait records of marked Salvia nemorosa L. individuals censused annually between 2021-2023 in 13 localities of the Great Hungarian Plain
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Predicting how changes in weather patterns and land use jointly impact populations is a pressing task in ecology. Microclimate may play a key role in speciesâ local persistence by modulating regional weather effects. We lack sufficient empirical evidence to understand the relative effects of landscape structure and habitat conditions on intraspecific trait variation. We used this spatially and temporally replicated dataset to test the relative effect of landscape structure (area and connectivity of remnant habitat fragments), microclimate (heat load), and fluctuation in weather conditions (study year) on intraspecific plant trait variation, and we investigated whether the local heat load modulated the weather effects on the studied traits., The study was located in the Great Hungarian Plain in Eastern Hungary, Europe. We worked on 13 sites (11 kurgans and two reference flat grasslands) where Salvia nemorosa was present, spanning across 135 km (E - W) and 79 km (N - S). Kurgans were selected to represent different habitat area (basal area ranged between 528 - 4,321 m2) and connectivity (Hanski connectivity index ranged between 0 - 338.4). S. nemorosa grew in remnant grassland patches dominated by Festuca rupicola. Data was collected at peak flowering of S. nemorosa in June-July, over three consecutive years between 2021-2023. Eight sites were censused each year throughout the length of the study, further four sites were censused only twice as new sites were added to the study between 2022-2023, while one site was only censused once in 2021 due to subsequent census difficulties. We established up to four permanent transects of varying lengths (4-10 m), depending on the area of the habitat patch, where the number of ind..., , # Trait records of marked Salvia nemorosa L. individuals censused annually between 2021-2023 in 13 localities of the Great Hungarian Plain [https://doi.org/10.5061/dryad.hmgqnk9th](https://doi.org/10.5061/dryad.hmgqnk9th) ## Description of the data and file structure METHODOLOGICAL INFORMATION Description of methods used for collection/generation of data: The study was located in the Great Hungarian Plain in Eastern Hungary, Europe. We worked on 13 sites (11 kurgans and two reference flat grasslands) where *Salvia nemorosa* was present, spanning across 135 km (E - W) and 79 km (N - S). Kurgans were selected to represent different habitat area (basal area ranged between 528 - 4,321 m2) and connectivity (Hanski connectivity index ranged between 0 - 338.4). S. nemorosa grew in remnant grassland patches dominated by Festuca rupicola. We recorded site (GPS coordinates, date of visit, management, habitat type), and transect level (cardinal aspect and slope) information. Data collection f...,
预测气候变化与土地利用变化如何共同作用于种群动态，是生态学领域亟待解决的重要课题。微气候（microclimate）通过调控区域气候效应，可能在物种的本地存续中发挥关键作用。目前我们仍缺乏足够的实证证据，以厘清景观结构（landscape structure）与栖息地条件对种内性状变异（intraspecific trait variation）的相对影响。本研究依托这套兼具空间与时间重复采样的数据集，检验了景观结构（剩余栖息地片段的面积与连通性）、微气候（热负荷）以及气候条件波动（研究年份）对植物种内性状变异的相对影响，并探讨了本地热负荷是否会调控气候对目标性状的作用效应。 本研究区域位于欧洲匈牙利东部的大匈牙利平原。我们共选取13处分布有林荫鼠尾草（Salvia nemorosa）的样地，其中包括11处库尔干坟丘（kurgan）与2处平坦草地对照样地，样地覆盖的东西跨度达135 km，南北跨度达79 km。所选库尔干坟丘涵盖了不同的栖息地面积（基底面积范围为528~4321 m²）与连通性水平（Hanski连通性指数（Hanski connectivity index）范围为0~338.4）。林荫鼠尾草生长在以硬羊茅（Festuca rupicola）为优势种的剩余草原斑块中。 数据采集于2021-2023年连续三年的6-7月，即林荫鼠尾草盛花期阶段。本研究全程每年对8处样地进行普查；另有4处样地仅被普查两次，因为该批样地于2022-2023年间才加入研究；还有1处样地因后续普查困难，仅在2021年完成了一次普查。我们根据栖息地斑块的面积，设置了最多4条长度不等（4~10 m）的永久样线，样线内记录了标记个体的性状数据……# 2021-2023年间，在大匈牙利平原13个样地中每年普查的标记林荫鼠尾草个体性状记录 [https://doi.org/10.5061/dryad.hmgqnk9th](https://doi.org/10.5061/dryad.hmgqnk9th) ## 数据与文件结构说明 ### 方法学信息 #### 数据采集/生成方法说明： 本研究区域位于欧洲匈牙利东部的大匈牙利平原。我们共选取13处分布有林荫鼠尾草（Salvia nemorosa）的样地，其中包括11处库尔干坟丘与2处平坦草地对照样地，样地覆盖的东西跨度达135 km，南北跨度达79 km。所选库尔干坟丘涵盖了不同的栖息地面积（基底面积范围为528~4321 m²）与连通性水平（Hanski连通性指数范围为0~338.4）。林荫鼠尾草生长在以硬羊茅（Festuca rupicola）为优势种的剩余草原斑块中。 我们记录了样地水平信息（GPS坐标、访问日期、管理措施、栖息地类型）以及样线水平信息（主方位与坡度）。数据采集工作……
