A Review of Overlapping Landscapes: Pseudoreplication or a Red Herring in Landscape Ecology?
A Review of Overlapping Landscapes: Pseudoreplication or a Red Herring in Landscape Ecology?
复制标题
重叠景观综述：景观生态学中的伪复制还是转移注意力？
DOI：
10.1007/s40823-020-00059-4
复制
发表时间：
2020
期刊：
影响因子：
--
通讯作者：
Thompson, Kimberly L.
中科院分区：
文献类型：
--
作者：
Zuckerberg, Benjamin;Cohen, Jeremy M.;Nunes, Laura A.;Bernath-Plaisted, Jacy;Clare, John D.;Gilbert, Neil A.;Kozidis, Sofia S.;Maresh Nelson, Scott B.;Shipley, Amy A.;Thompson, Kimberly L.
研究目的确定物种或种群对生境组成和配置响应最强烈的空间尺度，即效应尺度，是景观生态学的基本追求。在进行效应规模研究时，通常会测量样本地点周围不同大小的景观缓冲带中的栖息地。当样本站点在空间上彼此接近时，这些景观缓冲区将重叠。研究人员通常担心，从这些重叠的景观中产生的数据，随后被用作统计建模中的预测变量，代表了一种违反独立性假设的伪复制形式。本文综述了重叠景观的概念及其在景观生态学中的理论和实践意义。我们认为，重叠景观的感知问题不同于景观生态学中更重要的问题，例如具有空间自相关离散评估的稳健抽样设计。通过模拟，我们发现改变景观重叠的数量不会改变空间自相关的程度。然而，在回顾600多篇期刊文章时，我们发现三分之一（29%）的研究认为重叠景观是一个需要改变抽样设计或统计解决方案的问题。研究重叠景观的研究人员经常通过移除或聚集地点来改变他们的抽样设计。尽管先前的研究表明重叠景观并不是对独立性的侵犯，而是对空间自相关统计问题的过度简化，但重叠景观仍然是景观生态学中普遍关注的问题。景观生态学中对重叠景观作为一种伪复制形式的关注一直存在，但在生态学研究中，重叠景观作为一种潜在的转移注意力的方法，偏离了对适当采样设计和空间自相关的更相关关注。
Purpose of ReviewIdentifying the spatial scale at which a species or population most strongly responds to habitat composition and configuration is known as scale-of-effect and is a fundamental pursuit of landscape ecology. In conducting scale-of-effect studies, it is common to measure habitat in landscape buffers of varying sizes surrounding sample sites. When sample sites are in close spatial proximity to one another, these landscape buffers will overlap. Researchers commonly worry that data generated from these overlapping landscapes, and subsequently used as predictor variables in statistical modeling, represent a form of pseudoreplication that violates the assumption of independence.Recent FindingsHere, we review the concept of overlapping landscapes and their theoretical and practical implications in landscape ecology. We suggest that the perceived problem of overlapping landscapes is distinct from more important issues in landscape ecology, such as a robust sampling design complete with a discrete assessment of spatial autocorrelation. Through simulation, we demonstrate that changing the amount of landscape overlap does not alter the degree of spatial autocorrelation. Yet, in reviewing over 600 journal articles, we found that a third (29%) of the studies perceived overlapping landscapes as an issue requiring either changes in sampling design or statistical solutions. Researchers concerned with overlapping landscapes often go to great lengths to alter their sampling design by removing or aggregating sites. Overlapping landscapes remain a prevalent concern in landscape ecology despite previous studies that show that overlapping landscapes are not a violation of independence and represent an oversimplification of the statistical concerns of spatial autocorrelation.SummaryThe concern over overlapping landscapes as a form of pseudoreplication persists in landscape ecology, but acts as a potential red herring detracting from more relevant concerns of proper sampling design and spatial autocorrelation in ecological studies.
登录
查看更多内容
影响因子：
5.9
作者：
Carrara, Emilia;Arroyo-Rodriguez, Victor;Fahrig, Lenore
通讯作者：
Fahrig, Lenore
新热带城市景观中群落多样性的环境驱动因素：多尺度分析
影响因子：
5.2
作者：
Stanislas Talaga;F. Petitclerc;J. Carrias;Olivier Dézerald;C. Leroy;R. Céréghino;A. Dejean
通讯作者：
A. Dejean
景观环境对遗传多样性的影响空间范围远大于人口丰度。
影响因子：
4.8
作者：
Nathan D. Jackson;L. Fahrig
通讯作者：
L. Fahrig
林分、景观和空间变量对日本中部落叶松人工林和落叶林鸟类群落的影响
DOI：
--
发表时间：
2008
期刊：
影响因子：
--
作者：
Y. Yamaura;Kazuhiro Katoh;Toshimori Takahashi
通讯作者：
Toshimori Takahashi
云雀繁殖栖息地选择随作物异质性、时间和空间尺度的变化而变化，揭示了作物时空互补性
DOI：
--
发表时间：
2013
期刊：
影响因子：
--
作者：
P. Miguet;C. Gaucherel;V. Bretagnolle
通讯作者：
V. Bretagnolle