GPS approach to study fine-scale site use by wild red deer during active and inactive behaviors
GPS approach to study fine-scale site use by wild red deer during active and inactive behaviors
复制标题
GPS 方法研究野生红鹿在活动和非活动行为期间的精细场地使用
DOI：
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发表时间：
2003
影响因子：
1.5
通讯作者：
G. Janeau
中科院分区：
文献类型：
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作者：
C. Adrados;H. Verheyden;B. Cargnelutti;D. Pépin;G. Janeau
研究与环境参数相关的野生哺乳动物栖息地的精细选择需要1)对物种在时间和空间上的活动进行正确采样，2)测量这些地点的环境变量。我们提出了一种使用差分全球定位系统(DGPS)技术来实现这些目标的方法。利用马鹿(Cervus Elaffus)的数据集对该方法进行了验证。我们验证了一种基于个体的相对方法，该方法使用GPS项圈活动传感器提供的计数来区分活动和非活动行为。这种方法允许将位置正确分类为活动或非活动(根据使用的固定间隔，正确分配的82%-97%)。我们使用不同的固定间隔(5分钟、10分钟和15分钟)分析了活动采样，并在仅保留高精度位置(<；10-m误差半径)的情况下分析了结果空间采样。我们证明，固定之间的长时间间隔会导致最短活动回合的信息丢失，使用10分钟和1.5分钟的固定间隔，最短活动回合分别占日常预算的5%和11.5%。拟议的空间抽样允许保留65%至73%的总定位。活动回合略有欠采样，而非活跃回合则是过采样。我们使用手持DGPS重新定位的动物位置的一个子样本来现场测量几个环境变量，并检查相对于动物和活动组合的变化。
Studying fine-scale habitat selection of wild mammals relative to environmental parameters requires 1) correctly sampling the species' activity in time and space and 2) measuring the environmental variables at those locations. We propose a procedure using Differential Global Positioning System (DGPS) technology to achieve these goals. A data set from red deer (Cervus elaphus) was used to demonstrate the method. We validated an individual-based relative method using the count provided by a GPS collar activity sensor to separate active from inactive behaviors. This method allowed the correct classification of locations as active or inactive (82-97% of correct allocations depending on the fix interval used). We analyzed activity sampling using various fix intervals (5, 10, and 15 min) and the resulting spatial sampling when we retained only highly accurate locations (<10-m error radius). We demonstrated that long intervals between fixes could cause a loss of information for the shortest activity bouts, which make up 5 and 11.5% of the daily budget using 10- and 1 5-min fix intervals, respectively. The proposed spatial sampling allowed 65 to 73% of the total fixes to be kept. Active bouts were slightly undersampled, whereas inactive bouts were oversampled. We used a subsample of animal locations that were relocated using hand-held DGPS to measure several environmental variables in situ and examined the variations relative to animal and activity combinations.