Woodlot Dataset 3

Method: Group members: Afra, Maham, Farinaz and Sana The purpose of this experiment with respect to Woodlot dataset 3 is to become familiar with sampling tools such as the transect tape and learning techniques for collecting field data such as distance between trees, circumference of trees and subsequently the diameter at breast height and determining tree condition. This data could be used to determine tree conditions near the edge of the woodlot in comparison to the centre of the woodlot. I predict that trees found on the edge of the woodlot receive more sunlight than those found in centre of the woodlot. Thus, I hypothesize that the adult trees near the edge of the woodlot would possess healthier and non decaying bark and a large canopy (abundant leaves) whereas adult trees located closer to the centre of the woodlot would possess decaying bark and a smaller canopy. Data collection for Woodlot dataset 3 took place at the Northwest corner of York University's Keele campus in a Woodlot on September 26, 2014 from 3:00pm to 4:00pm by Sana Jamal and Maham Anees. Sana both recorded and took measurements while, Maham solely took the measurements. At the time of data collection, it was sunny with very little cloud cover and wind. The temperature at this time was about 23 degrees Celsius. The transect tape was placed on the ground at the edge of the woodlot and extended approximately 30 meters in a straight line to centre of the woodlot. One adult tree was selected at random from the edge of the woodlot and subsequent adult trees were selected along the transect tape placed on the ground. Overall, 10 pairs of adult trees were selected giving a total of 20 trees. The distance between a pair of adult trees was measured in centimeter using a transect tape where each distance measurement was taken from the base of each tree. The diameter at breast height (dbh) of each tree was determine by measuring the circumference of each adult tree in centimeter using a transect tape and applying the formula, diameter= circumference/ π. Lastly, the condition of the tree was determined by visually observing the tree with the eyes. The condition of the tree was based on a scale where, 0 = dead , 1 = living, 2 = huge green canopy.实验方法：小组成员：Afra、Maham、Farinaz与Sana。本针对林地数据集3（Woodlot dataset 3）开展的实验，旨在让参与者熟悉样带卷尺（transect tape）等采样工具，掌握野外数据采集技术，包括树木间距测量、树干周长测量，进而推算胸径（diameter at breast height, DBH）并评估树木健康状况。本实验采集的数据可用于对比林地边缘与中心区域的树木生长状况。研究人员预测，林地边缘的树木相较于中心区域的树木可获得更多光照。据此提出假设：林地边缘的成年树木树皮更健康、无腐朽，冠幅更大（叶片繁茂），而靠近林地中心的成年树木树皮易出现腐朽，冠幅更小。林地数据集3的数据采集工作于2014年9月26日15:00至16:00，在约克大学（York University）基尔校区（Keele campus）西北角的林地中开展，由Sana Jamal与Maham Anees完成。其中Sana负责记录数据与测量操作，Maham仅负责测量工作。数据采集当日天气晴朗，云量极少且无风，气温约为23摄氏度。将样带卷尺铺设于林地边缘地面，沿直线向林地中心延伸约30米。从林地边缘随机选取1株成年树木，随后沿铺设的样带依次选取成年树木，最终共选取10组成对树木，总计20株。以样带卷尺测量每组成年树木的间距，测量起点为两树的基部，单位为厘米。通过样带卷尺测量每株成年树木的树干周长（单位：厘米），结合公式「直径=周长/π」计算得到每株树木的胸径（DBH）。最后通过目视观测评估树木健康状况，评估标准为：0=死亡，1=存活，2=冠幅繁茂翠绿。