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利用多尺度行为研究为野猪(Sus scrofa)种群管理提供信息。

Using multi-scale behavioral investigations to inform wild pig (Sus scrofa) population management.

机构信息

Department of Forestry and Natural Resources, Clemson University, Clemson, South Carolina, United States of America.

Environmental Laboratory, US Army Engineer Research and Development Center (ERDC), Vicksburg, Mississippi, United States of America.

出版信息

PLoS One. 2020 Feb 7;15(2):e0228705. doi: 10.1371/journal.pone.0228705. eCollection 2020.

Abstract

Assessing invasive species ecology at multiple scales is needed to understand how to focus ecological monitoring and population control. As a widespread invasive species, wild pigs (Sus scrofa) frequently disrupt land management programs. We provide a detailed, multi-scaled view of the behavior of wild pigs at Fort Hood, Texas, USA by assessing seasonal and daily movement patterns, and diet. First, we quantified movement behavior through assessment of both seasonal home range size and first passage time movement behavior from 16 GPS-collared wild pigs. Home ranges were relatively large (mean: 10.472 km2, SD: 0.472 km2), and Cox proportional hazard models predicted that pigs moved slowest at temperature extremes (15< °C <30), in the spring, in rougher terrain, and in grassland communities. Secondly, we analyzed wild pig stomach contents to determine diet throughout the year. Diet was primarily plant-based, and showed seasonal variation in such items as hard and soft mast, and the foliage of forbs and woody plants. Integration of both movement and diet analyses indicate that wild pigs are more likely to be lured into baited traps in the winter when movement rates are highest and plant-based food resources are likely less abundant. Wild pigs are likely to have the greatest impact on vegetative communities in grassland habitats during the spring season when movement is restricted. Collectively, this multi-scaled approach provided detailed information on wild pig behavioral ecology in this area that would not have been apparent by looking at any single measure individually or only at a large spatial scale (i.e., home range), and could be a useful approach in other invasive species management programs.

摘要

评估入侵物种在多个尺度上的生态情况对于理解如何集中进行生态监测和种群控制至关重要。野猪(Sus scrofa)作为一种广泛存在的入侵物种,经常扰乱土地管理计划。我们通过评估季节性和日常移动模式以及饮食来提供美国德克萨斯州胡德堡(Fort Hood)野猪行为的详细、多尺度视图。首先,我们通过评估 16 只 GPS 项圈野猪的季节性家域大小和首次通过时间移动行为来量化移动行为。家域相对较大(平均值:10.472 平方公里,标准差:0.472 平方公里),Cox 比例风险模型预测,在温度极端(15°C < < 30°C)、春季、地形较粗糙和草地群落中,猪的移动速度最慢。其次,我们分析了野猪的胃内容物以确定全年的饮食。饮食主要以植物为基础,在硬木和软木、草本植物和木本植物的叶子等项目中表现出季节性变化。移动和饮食分析的综合结果表明,在冬季移动速度最高且植物性食物资源可能较少的情况下,野猪更有可能被诱饵陷阱吸引。在春季,当移动受到限制时,野猪可能对草地生境中的植被群落产生最大的影响。总的来说,这种多尺度方法提供了该地区野猪行为生态学的详细信息,如果只看任何单一指标或仅在大空间尺度(即家域)上观察,这些信息是不会明显的,并且可能对其他入侵物种管理计划有用。

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