Logarithmic scales in ecological data presentation may cause misinterpretation

被引:32
|
作者
Menge, Duncan N. L. [1 ]
MacPherson, Anna C. [2 ]
Bytnerowicz, Thomas A. [1 ]
Quebbeman, Andrew W. [1 ]
Schwartz, Naomi B. [1 ]
Taylor, Benton N. [1 ]
Wolf, Amelia A. [1 ,3 ]
机构
[1] Columbia Univ, Dept Ecol Evolut & Environm Biol, New York, NY 10027 USA
[2] Amer Museum Nat Hist, New York, NY 10024 USA
[3] Univ Calif Davis, Dept Plant Sci, Davis, CA 95616 USA
来源
NATURE ECOLOGY & EVOLUTION | 2018年 / 2卷 / 09期
关键词
TRANSFORM COUNT DATA; CLIMATE NEGOTIATIONS; CONFIDENCE-INTERVALS; SCIENCE-EDUCATION; REFUTATION TEXT; PRODUCTIVITY; METAANALYSIS; ZEROS;
D O I
10.1038/s41559-018-0610-7
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
Scientific communication relies on clear presentation of data. Logarithmic scales are used frequently for data presentation in many scientific disciplines, including ecology, but the degree to which they are correctly interpreted by readers is unclear. Analysing the extent of log scales in the literature, we show that 22% of papers published in the journal Ecology in 2015 included at least one log-scaled axis, of which 21% were log-log displays. We conducted a survey that asked members of the Ecological Society of America (988 responses, and 623 completed surveys) to interpret graphs that were randomly displayed with linear-linear or log-log axes. Many more respondents interpreted graphs correctly when the graphs had linear-linear axes than when they had log-log axes: 93% versus 56% for our all-around metric, although some of the individual item comparisons were even more skewed (for example, 86% versus 9% and 88% versus 12%). These results suggest that misconceptions about logscaled data are rampant. We recommend that ecology curricula include explicit instruction on how to interpret log-scaled axes and equations, and we also recommend that authors take the potential for misconceptions into account when deciding how to visualize data.
引用
收藏
页码:1393 / 1402
页数:10
相关论文
共 50 条
  • [31] Assessment of ASTER land cover and MODIS NDVI data at multiple scales for ecological characterization of an and urban center
    Stefanov, WL
    Netzband, M
    REMOTE SENSING OF ENVIRONMENT, 2005, 99 (1-2) : 31 - 43
  • [32] ECOLOGICAL BOUNDARIES AT DIFFERENT SCALES: TESTING THE MOVING SPLIT WINDOW ANALYSIS USING ARTIFICIAL AND FIELD DATA
    Erdoes, Laszlo
    Batori, Zoltan
    Morschhauser, Tamas
    Koermoeczi, Laszlo
    POLISH JOURNAL OF ECOLOGY, 2013, 61 (02) : 319 - 328
  • [33] Ecological memory at millennial time-scales: the importance of data constraints, species longevity and niche features
    Benito, Bias M.
    Gil-Romera, Graciela
    Birks, H. John B.
    ECOGRAPHY, 2020, 43 (01) : 1 - 10
  • [34] On hidden factors and design-associated errors that may lead to data misinterpretation: An example from preclinical research on the potential seasonality of neonatal seizures
    Loescher, Wolfgang
    EPILEPSIA, 2024, 65 (02) : 287 - 292
  • [35] Behavior rating scale for dementia: Development of test scales and presentation of data for 555 individuals with Alzheimer's disease
    Mack, JL
    Patterson, MB
    Tariot, PN
    JOURNAL OF GERIATRIC PSYCHIATRY AND NEUROLOGY, 1999, 12 (04) : 211 - 223
  • [36] Real world data analysis indicates that pirfenidone may cause pellagra-like photosensitivity
    Kuroita, Tomohiro
    Yamamoto, Hiroki
    Susai, Natsumi
    Yoshioka, Takeshi
    Kuronuma, Koji
    Kaneko, Shuji
    EUROPEAN RESPIRATORY JOURNAL, 2021, 58
  • [37] Understanding ecological change across large spatial, temporal and taxonomic scales: integrating data and methods in light of theory
    Rapacciuolo, Giovanni
    Blois, Jessica L.
    ECOGRAPHY, 2019, 42 (07) : 1247 - 1266
  • [38] Data loggers in artificial eggs reveal that egg-turning behavior varies on multiple ecological scales in seabirds
    Clatterbuck, Corey A.
    Young, Lindsay C.
    VanderWerf, Eric A.
    Naiman, Alexander D.
    Bower, Geoff C.
    Shaffer, Scott A.
    AUK, 2017, 134 (02): : 432 - 442
  • [39] Small Samples Do Not Cause Greater Accuracy-But Clear Data May Cause Small Samples: Comment on Fiedler and Kareev (2006)
    Evans, Laurel
    Buehner, Marc J.
    JOURNAL OF EXPERIMENTAL PSYCHOLOGY-LEARNING MEMORY AND COGNITION, 2011, 37 (03) : 792 - 799
  • [40] Environmental concentrations of 2, 4-DTBP cause immunotoxicity in zebrafish (Danio rerio) and may elicit ecological risk to wildlife
    Liu, Wang
    Zhang, Jiye
    Liang, Xuefang
    Wang, Yuchen
    Liu, Ruimin
    Zhang, Ruiqing
    Zha, Jinmiao
    Martyniuk, Christopher J.
    CHEMOSPHERE, 2022, 308