Temperature, NDVI and vegetation data from NCC restoration areas in Norfolk County, Ontario

This dataset contains all data used in the manuscript by Hamberg, Fraser, Robinson, Trant and Murphy. The hypotheses is that surface temperature will decrease with increasing vegetation diversity, that native diversity is better at decreasing temperature and that surface temperature will decrease over time in restoration areas. We find support for all three of these hypotheses.

The dataset contains one xls-file with multiple sheets. A summary of the sheets are presented below:
1. "LEF_veg_data_by_plot_2007-2018" - Includes all vegetation data used in the manuscript. This is a subset of all vegetation data provided by Nature Conservancy of Canada. Any missing data points have been removed and species richness and diversity only include when species were identified to species level. For the full dataset of all sampling done at the site contact me and I can put you in contact with the appropriate NCC staff to get permission to share.
2. "LEF_veg_temp_data_means" - The same data as above but taking the means of each plot transect. Mean relative surface temperature (TempPerM) and mean relative NDVI (NDVI_diff) is also included in this sheet. This data is what underlies the testing of the first and second hypotheses. The 'Type' column indicates if transect was in Active or Passive restoration.
3. "LEF_tempdata" - All temperature data used from the Lake Erie Farms site, including that of the mature forest reference areas.
4. "LEF_NDVIdata" - As above but for NDVI instead of temperature.
5. "ECOSTRESS_paired_data" - shows the diurnal temperature variation for the paired measurements from 2018 ECOSTRESS and (one) Landsat measurements (Paired_diff) for each restoration area and the days since restoration for each field.
6. "ECOSTRESS_all_data" - Same data but unpaired and including the second Landsat reading that was removed due to being taken in June, further away from the other readings seasonally.
7. "Temp_31_fields_post_restoration" - the relative temperature (%tempdiff) for all 31 restoration fields over time since restoration, including relative NDVI. Also includes the air temperature, humidity and wind speed from the Delhi, Ontario weather station as near as possible in time to when the image was taken. Also indicates if 100, >90% and >75% of each area was imaged correctly (i.e. no lost pixels or cloud cover within 200 meters of that pixel). Only areas with >75% of pixels remaining in both the restoration area and the paired mature forest area were retained.
8. "Temp_31_fields_pre_restoration" - Same as above but with the data from before restoration for each field. These sheets are divided as the statistical analysis was made separately on the pre-restoration and post-restoration data.
9. "Temp_31_incl_mature" - All data as above but also including temperature of the paired mature forest areas.

本数据集包含Hamberg、Fraser、Robinson、Trant与Murphy所撰写论文手稿中使用的全部数据。本研究提出三项假说：地表温度会随植被多样性提升而降低；本土植被多样性在降低温度方面效果更优；修复区域的地表温度会随时间推移下降。我们的研究结果为这三项假说均提供了支撑。

本数据集包含1个包含多个工作表的Excel（.xls）文件，各工作表的内容概述如下：
1. "LEF_veg_data_by_plot_2007-2018"：包含论文手稿中使用的全部植被数据。该数据集为加拿大自然保护协会（Nature Conservancy of Canada）提供的全部植被数据的子集。已剔除所有缺失数据点，物种丰富度与多样性指标仅纳入鉴定到物种水平的物种数据。如需获取该样地所有采样工作的完整数据集，请联系本人，我将协助您与加拿大自然保护协会相关工作人员取得联系以获取共享权限。
2. "LEF_veg_temp_data_means"：与上述植被数据同源，但对每个样地样带的数据取均值。该工作表还包含平均相对地表温度（TempPerM）与平均相对归一化差分植被指数（NDVI_diff），该项数据为第一项与第二项假说的检验基础。"Type"列用于标识样带属于主动修复（Active）还是被动修复（Passive）区域。
3. "LEF_tempdata"：包含来自伊利湖农场（Lake Erie Farms）样地的全部温度数据，其中包括成熟森林参考区域的温度数据。
4. "LEF_NDVIdata"：与上述数据同源，但替换为归一化差分植被指数（NDVI）数据而非温度数据。
5. "ECOSTRESS_paired_data"：展示了2018年ECOSTRESS与（单景）Landsat影像配对测量所得的各修复区域的昼夜温度变化（Paired_diff），以及各样地距离修复完成的天数。
6. "ECOSTRESS_all_data"：与上述配对数据同源，但未进行配对处理，且包含因拍摄于6月、季节上与其他观测值间隔较远而被剔除的第二景Landsat影像数据。
7. "Temp_31_fields_post_restoration"：包含31个修复样地在修复完成后的相对温度（%tempdiff）、相对归一化差分植被指数，以及拍摄时间尽可能匹配的加拿大安大略省德里（Delhi）气象站记录的气温、湿度与风速数据。该工作表还标注了各区域是否有100%、≥90%与≥75%的区域被成功成像（即该像素周边200米范围内无像素丢失或云量覆盖）。仅保留修复区域与配对成熟森林区域中≥75%像素有效保留的样地数据。
8. "Temp_31_fields_pre_restoration"：与上述工作表内容一致，但使用的是各修复样地修复完成前的数据。本数据集将数据划分为修复前与修复后两类，是为了分别进行统计分析。
9. "Temp_31_incl_mature"：包含上述全部数据，同时额外纳入配对成熟森林区域的温度数据。