加利福尼亚海岸和俄勒冈州海岸洪堡马滕(Martes caurina humboldtensis)的景观生境适宜性模型

IF 0.5 4区 环境科学与生态学 Q4 ECOLOGY
K. Slauson, W. Zielinski, T. Kirk, David W. LaPlante
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引用次数: 2

摘要

预测保护物种分布和生境适宜性的模型可用于指导调查、监测和保护规划工作。洪堡貂(Martes caurina humboldtensis)在加利福尼亚沿海和俄勒冈州的历史分布范围内已经明显减少,这个分类群是从少数残余种群中知道的。我们建立了景观生境适宜性模型,以确定尚未调查的适宜生境区域,为设计监测方案和研究提供模板,并为保护策略的制定提供信息。我们利用1159份占用调查的结果,利用广义加性建模建立了一个预测栖息地模型,将洪堡貂的检测与环境和栖息地属性的组合联系起来,假设环境和栖息地属性会影响貂的分布。我们在0.5、1.0和3.0 km三个空间尺度上测量了30个候选变量,尽管有几个模型相互竞争,但每个模型都包含相同的三个核心变量:1 km尺度上的旧生长结构指数、3 km尺度上的蛇形动物栖息地和3 km尺度上的年降水量。最终模型对貂类检测的总体正确分类率为91%,对未检测的总体正确分类率为82%,真实技能统计量为0.73。交叉验证时,模型预测是稳定的,貂鼠检测的正确分类(89%)变化很小。预测最大的适宜生境复合体出现在有3个现存貂群的地区(加利福尼亚北部沿海、俄勒冈南部沿海和俄勒冈中部沿海),但适宜生境与这3个地区以外地区的连通性有限。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Landscape Habitat Suitability Model for the Humboldt Marten (Martes caurina humboldtensis) in Coastal California and Coastal Oregon
Abstract Models that predict the distributions and habitat suitability for species of conservation concern can be useful for guiding survey, monitoring, and conservation planning efforts. The Humboldt marten (Martes caurina humboldtensis) has significantly declined throughout its historical range in coastal California and Oregon and this taxon is known from a few remnant populations. We developed a landscape habitat suitability model to identify areas of suitable habitat not yet surveyed, to provide a template for designing monitoring programs and research studies, and to inform the development of a conservation strategy. We used the results of 1,159 occupancy surveys to develop a predictive habitat model using Generalized Additive Modeling to relate Humboldt marten detections to combinations of environmental and habitat attributes hypothesized to influence marten distribution. We measured 30 candidate variables at three spatial scales, using 0.5, 1.0, and 3.0 km, and although several models were competitive, each contained the same three core variables: old growth structural index measured at the 1-km scale, serpentine habitat measured at the 3-km scale, and annual precipitation measured at the 3-km scale. The final model had an overall correct classification rate of 91% for marten detections, 82% for non-detections and a true skill statistic of 0.73. Model predictions were stable when cross-validated, with the correct classification of marten detections (89%) varying little. The largest complexes of predicted suitable habitat occurred in the areas with the three extant marten populations (north coastal California, south coastal Oregon, and central coastal Oregon), however connectivity of suitable habitat to areas outside these three areas appears limited.
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来源期刊
Northwest Science
Northwest Science 环境科学-生态学
CiteScore
1.30
自引率
0.00%
发文量
23
审稿时长
>36 weeks
期刊介绍: The pages of Northwest Science are open to original and fundamental research in the basic, applied, and social sciences. All submissions are refereed by at least two qualified peer reviewers. Papers are welcome from authors outside of the Pacific Northwest if the topic is suitable to our regional audience.
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