Suppr超能文献

用于追踪物种范围变化的不连续海拔样带中的偏差。

Bias in Discontinuous Elevational Transects for Tracking Species Range Shifts.

作者信息

Li Shixuan, Yao Jiannan, Lin Yang, Wu Siyu, Yang Zhongjie, Jin Chao, Zhang Yuhan, Wang Zhen, Liu Jinliang, Shen Guochun, Yu Mingjian

机构信息

Zhejiang Tiantong Forest Ecosystem National Observation and Research Station, School of Ecological and Environmental Sciences, East China Normal University, Shanghai 200241, China.

College of Life Sciences, Zhejiang University, Hangzhou 310058, China.

出版信息

Plants (Basel). 2025 Jan 20;14(2):283. doi: 10.3390/plants14020283.

Abstract

Climate change is compelling species to seek refuge at higher elevations and latitudes. While researchers commonly study these migrations using discontinuous elevational transects, this methodology may introduce significant biases into our understanding of species movement. These potential biases could lead to flawed biodiversity conservation policies if left unexamined. To address this concern, we utilized species distribution data from a novel continuous elevational transect to evaluate the accuracy of discontinuous transect methods. Our analysis focused on how quadrat spacing and survey time intervals affect bias in estimating species range shifts. The results were striking: the widely used settings for discontinuous transects failed to detect 7.2% of species, inaccurately estimated shift distances for 78% of species, and produced an overall error rate of 86%. Wider quadrat spacing increased these error rates, while longer survey intervals generally reduced them. Moreover, discontinuous transects consistently underestimated species shift distances, with this underestimation becoming more pronounced over longer survey periods. Our pioneering assessment of bias in discontinuous elevational transects demonstrates that a 50 m quadrat spacing combined with a 60-year survey interval optimizes monitoring species range shifts for conservation planning. This baseline protocol could be further strengthened through supplementary, frequent surveys targeting high-elevation species-a strategic approach that maximizes accuracy while maintaining cost-effectiveness.

摘要

气候变化正迫使物种在更高海拔和纬度地区寻找避难所。虽然研究人员通常使用不连续的海拔样带研究这些迁徙,但这种方法可能会在我们对物种移动的理解中引入重大偏差。如果不加以审视,这些潜在偏差可能导致有缺陷的生物多样性保护政策。为解决这一问题,我们利用来自一个全新连续海拔样带的物种分布数据,评估不连续样带方法的准确性。我们的分析聚焦于样方间距和调查时间间隔如何影响物种范围变化估计中的偏差。结果令人震惊:广泛使用的不连续样带设置未能检测到7.2%的物种,对78%的物种不准确地估计了变化距离,总体错误率达86%。更宽的样方间距增加了这些错误率,而更长的调查间隔通常会降低错误率。此外,不连续样带始终低估物种变化距离,且这种低估在更长的调查期内变得更加明显。我们对不连续海拔样带偏差的开创性评估表明,50米的样方间距与60年的调查间隔相结合,能优化用于保护规划的物种范围变化监测。通过针对高海拔物种进行补充性的频繁调查,这一基线方案可以得到进一步加强——这是一种在保持成本效益的同时最大化准确性的战略方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8181/11768634/08c33299bfeb/plants-14-00283-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验