Literature DB >> 28189929

Environmental and managerial factors associated with pack stock distribution in high elevation meadows: Case study from Yosemite National Park.

Chelsey Walden-Schreiner1, Yu-Fai Leung2, Tim Kuhn3, Todd Newburger3, Wei-Lun Tsai4.   

Abstract

Parks and protected areas are integral strategies for biological diversity conservation, and their management often involves balancing visitor use with resource protection. Effectively balancing these objectives requires data about how use is distributed within areas of interest and how management strategies and environmental conditions interact to minimize negative impacts. This study examined which environmental and managerial factors most influenced the distribution of domestic pack stock animals, a common visitor use-related activity, when released to graze in high elevation meadows. Using a species distribution modelling approach, MaxEnt, managerial factors were found to be among the top contributors to models. Pack stock animals concentrated use near the locations where they were released as well as portable enclosure fencing confining the lead animal even though the remainder were allowed to roam freely. Elevation was the environmental factor contributing most, with animals remaining at similar elevations to the meadow even if moving into nearby understory. Results highlight the importance of release point and fence locations to overall pack stock animal distribution and rotational or strategic placement can be a tactic for mitigating impacts to sensitive habitats.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Keywords:  GPS tracking; Horse; Maximum entropy; Meadow; Mule

Mesh:

Year:  2017        PMID: 28189929     DOI: 10.1016/j.jenvman.2017.01.076

Source DB:  PubMed          Journal:  J Environ Manage        ISSN: 0301-4797            Impact factor:   6.789


  4 in total

1.  How Networks of Informal Trails Cause Landscape Level Damage to Vegetation.

Authors:  Agustina Barros; Catherine Marina Pickering
Journal:  Environ Manage       Date:  2017-04-15       Impact factor: 3.266

2.  Using crowd-sourced photos to assess seasonal patterns of visitor use in mountain-protected areas.

Authors:  Chelsey Walden-Schreiner; Sebastian Dario Rossi; Agustina Barros; Catherine Pickering; Yu-Fai Leung
Journal:  Ambio       Date:  2018-02-12       Impact factor: 5.129

3.  Integrating direct observation and GPS tracking to monitor animal behavior for resource management.

Authors:  Chelsey Walden-Schreiner; Yu-Fai Leung; Tim Kuhn; Todd Newburger
Journal:  Environ Monit Assess       Date:  2018-01-10       Impact factor: 2.513

4.  Predicting the distributions of Scleroderma guani (Hymenoptera: Bethylidae) under climate change in China.

Authors:  Xinqi Deng; Danping Xu; Wenkai Liao; Rulin Wang; Zhihang Zhuo
Journal:  Ecol Evol       Date:  2022-10-05       Impact factor: 3.167

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.