首页> 美国政府科技报告 >Development and Application of a Habitat Suitability Ranking Model for the New Mexico Meadow Jumping Mouse (Zapus hudsonius luteus)
【24h】

Development and Application of a Habitat Suitability Ranking Model for the New Mexico Meadow Jumping Mouse (Zapus hudsonius luteus)

机译:新墨西哥草甸跳鼠(Zapus hudsonius luteus)栖息地适宜性排序模型的开发与应用

获取原文

摘要

The New Mexico meadow jumping mouse (Zapus hudsonius luteus) is currently listed as a state threatened species in New Mexico and has been identified as potentially occurring within the Los Alamos National Laboratory (LANL) that may be suitable for occupation by this species. The model calculates a habitat suitability ranking (HSR) based on total plant cover, plant species composition, total number of plant species, and plant height. Input data for the model is based on the measurement of these variables at known locations where this species has been found within the Jemez Mountains. Model development included the selection of habitat variables, developing a probability distribution for each variable, and applying weights to each variable based on their overall importance in defining the suitability of the habitat. The habitat variables (HV) include plant cover (HVI), grass/forb cover (HV2), plant height (HV3), number of forbs (HV4), number of grasses (HV5), and sedge/rush cover (HV6). Once the HVs were selected, probability values were calculated for each. Each variable was then assigned a 'weighting factor' to reflect the variables' importance relative to one another with respect to contribution to quality of habitat. The least important variable, sedge/rush cover, was assigned a weight factor of '1' with increasing values assigned to each remaining variable as follows: numberof forbs=3, number of grasses=3, plant height=5, grass/forb cover=6, andtotal plant cover=7. Based on the probability values and weighting factors, a HSR is calculated as follows: HSR-(PHV1(7)+PHV2 (6)+PHV3(5)+PHV4 (3)+PHV5(3)+PHV6(1)). Once calculated, the HSR values are placed into one of four habitat categorical grouping by which management strategies are applied.

著录项

相似文献

  • 外文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号