Woodland Dataset 3: Field Training of Adult Trees

Meta data: Replicates: A total of 20 adult trees were randomly selected in the Saywell woodlot. The adult trees were chosen based on them being double the researcher’s height (5 ft 4 in). Distance between tree pair: This continuous variable was used to measure the distance between two adult tree pairs using a transect measuring tape (cm). Diameter at breast height: This continuous variable was used to calculate the diameter at breast height of each tree trunk by using a measuring tape (cm). Condition: This ordinal variable was used to examine the condition of each tree based on a scale from 0-2. 0= dead 1=living 2= huge green canopy. Description: On September 19^th, 2016 a study was conducted at the Saywell woodlot located at York University with researcher, Moses. The study was performed from 3:00 to 4:45 pm on a sunny day with a temperature of 25 <b>°</b>C. However, the woodlot contained multiple large trees with wide canopies that limited the amount of sunlight that entered the area. The data for the study was collected by randomly selecting 20 adult trees. Each adult tree was twice the height of the researcher (5 ft 4 in). The distance between each tree pair was measured using a transect measuring tape in centimeters. The diameter at breast height of each tree trunk was also measured with a measuring tape in centimeters. Each tree was then evaluated on its condition using a 0-2 number scale. The number 0 represented a dead tree, number 2 meant the tree was living whereas, 3 indicated the tree contained a large green canopy. Hypothesis/Prediction: The larger the diameter at breast height (dbh) of a tree, the more likely it is classified as containing a huge green canopy. A larger dbh indicates that the tree is stronger and is able to store more food reserves such as nutrients compared to trees with lower dbh. The more food it obtains, the greater the growth of branches and healthy green leaves. It was predicted that the hypothesis is true due to the fact that trees with low dbh, will have less space to store food that is essential for their growth.

元数据（Metadata）：
样本选取：本研究在塞韦尔林块（Saywell woodlot）中随机选取20棵成年树木作为研究样本。成年树木的选取标准为其高度为研究人员身高（5英尺4英寸）的两倍。
树木对间距：该连续变量用于通过样带卷尺（transect measuring tape）测量每两棵成年树木之间的距离，测量单位为厘米（cm）。
胸径（Diameter at Breast Height, DBH）：该连续变量用于通过卷尺测量每棵树干的胸径，测量单位为厘米（cm）。
树木健康状况：该有序分类变量用于基于0-2的分级标准评估每棵树的健康状况：0代表死亡树木，1代表存活树木，2代表拥有茂密翠绿冠层的树木。

研究概况：2016年9月19日，研究人员摩西（Moses）在约克大学（York University）所属的塞韦尔林块开展本项研究。研究于当日下午3:00至4:45进行，当日天气晴朗，气温为25°C。但该林块内多棵高大树木拥有宽大冠层，限制了区域内的日照量。本研究的数据通过随机选取20棵符合前述标准的成年树木收集：每棵成年树木的高度均为研究人员身高（5英尺4英寸）的两倍。采用样带卷尺以厘米为单位测量每两棵树之间的间距，同时使用卷尺以厘米为单位测量每棵树干的胸径。随后基于0-2的分级标准对每棵树的健康状况进行评估：0代表死亡树木，1代表存活树木，2代表拥有茂密翠绿冠层的树木。

研究假设与预测：本研究的假设为：树木的胸径（DBH）越大，其被归类为拥有茂密翠绿冠层的可能性越高。较大的胸径意味着树木长势更强健，相较于胸径较小的树木，能够储存更多诸如养分之类的生长储备。树木获取的养分越多，其枝条生长与健康绿叶的发育程度就越高。研究人员预测该假设成立，因为胸径较小的树木可用于储存生长必需养分的空间更少。