The ameliorating influence of neighbouring plants on aboveground microclimate depends on their number, size, and proximity

Plants can have a facilitative effect on co-occurring neighbours by moderating microclimate conditions. In forested areas, vegetation can ameliorate macroclimate extremes relative to open areas, yet the neighbourhood characteristics that contribute to this buffering effect, particularly during early stand development, remain unclear. Here, we examined how the local neighbourhood affects aboveground temperature and relative humidity in the canopy layer of 76 mapped neighbourhood plots in an 8-year-old experimental forest in Tasmania, Australia. We assessed which aspects of the neighbourhood – species identity, density, summed basal area and spatial arrangement – best described the microclimatic conditions over a year-long period, and examined how seasonal and extreme climatic conditions influenced the strength of neighbourhood effects on microclimate. Microclimate conditions varied substantially across neighbourhoods, with a significant proportion explained by neighbourhood metrics (NMs)..., , # Dryad dataset Dataset DOI: [10.5061/dryad.cz8w9gjgm](10.5061/dryad.cz8w9gjgm) ## Description of the data and file structure Microclimate data (temperature and relative humidity) logged every 30 minutes in tree canopies in the middle of a mapped neighbourhood. ### Files and variables #### File: AFEX_microclimate_HalfHourObs_revised.csv **Description:** ##### Variables * Logger_ID: * ID for logger - relates to Sample_code which is the identifier for the neighbourhood and the relevant neighbourhood metrics * Year: * Year of logged value * Month: * Month of logged value * Day: * Day of logged value * Hour: * Hour of logged value * Minute: * Minute of logged value * Timestamp: * Timestamp of logged value * Temp: * Temperature, degrees celsius * RH: * Relative humidity, % * Sample_code: * Identifier of neighbourhood, which relates to a separate published dataset with neighbourhood metrics (Dryad Digital Repository, [https://doi.org/10.5061/dryad.tmpg4.f53b](ht...,植物可通过调节微气候（microclimate）条件，对共存邻株产生促进作用。在森林区域中，相较于开阔地带，植被可缓解大气候（macroclimate）的极端状况，但目前仍不清楚驱动这种缓冲效应的邻域特征，尤其是在林分早期发育阶段。本研究针对澳大利亚塔斯马尼亚一处8年生的实验林内的76个已测绘邻域样地，探究了局部邻域对冠层层地上温度与相对湿度的影响。我们评估了邻域的哪些特征——物种组成、密度、总断面积与空间配置——最能解释为期一年的微气候状况，并探究了季节与极端气候条件如何影响邻域对微气候的作用强度。不同邻域的微气候条件差异显著，其中有相当一部分变异可由邻域特征指标（neighbourhood metrics, NMs）解释……# Dryad数据集 数据集DOI：[10.5061/dryad.cz8w9gjgm](10.5061/dryad.cz8w9gjgm) ## 数据与文件结构说明 微气候数据（温度与相对湿度）每30分钟记录一次，采集自已测绘邻域中心的林冠层中。 ### 文件与变量 #### 文件：AFEX_microclimate_HalfHourObs_revised.csv **说明：** ##### 变量 * 记录器编号（Logger_ID）：记录器的唯一标识，与邻域标识符及对应邻域特征指标的样本代码（Sample_code）相关联 * 年份（Year）：记录值对应的年份 * 月份（Month）：记录值对应的月份 * 日期（Day）：记录值对应的日期 * 小时（Hour）：记录值对应的小时 * 分钟（Minute）：记录值对应的分钟 * 时间戳（Timestamp）：记录值的时间戳 * 温度（Temp）：温度，单位为摄氏度 * 相对湿度（RH）：相对湿度，单位为百分比 * 样本代码（Sample_code）：邻域的标识符，与另一项已发表的邻域特征指标数据集相关联（Dryad数字知识库，[https://doi.org/10.5061/dryad.tmpg4.f53b](https://doi.org/10.5061/dryad.tmpg4.f53b)……