Embracing scale-dependence to achieve a deeper understanding of biodiversity and its change across communities

Research output: Journal contributionsScientific review articlesResearch

Standard

Embracing scale-dependence to achieve a deeper understanding of biodiversity and its change across communities. / Chase, Jonathan M.; McGill, Brian J.; McGlinn, Daniel J. et al.
In: Ecology Letters, Vol. 21, No. 11, 01.11.2018, p. 1737-1751.

Research output: Journal contributionsScientific review articlesResearch

Harvard

Chase, JM, McGill, BJ, McGlinn, DJ, May, F, Blowes, SA, Xiao, X, Knight, TM, Purschke, O & Gotelli, NJ 2018, 'Embracing scale-dependence to achieve a deeper understanding of biodiversity and its change across communities', Ecology Letters, vol. 21, no. 11, pp. 1737-1751. https://doi.org/10.1111/ele.13151

APA

Chase, J. M., McGill, B. J., McGlinn, D. J., May, F., Blowes, S. A., Xiao, X., Knight, T. M., Purschke, O., & Gotelli, N. J. (2018). Embracing scale-dependence to achieve a deeper understanding of biodiversity and its change across communities. Ecology Letters, 21(11), 1737-1751. https://doi.org/10.1111/ele.13151

Vancouver

Chase JM, McGill BJ, McGlinn DJ, May F, Blowes SA, Xiao X et al. Embracing scale-dependence to achieve a deeper understanding of biodiversity and its change across communities. Ecology Letters. 2018 Nov 1;21(11):1737-1751. doi: 10.1111/ele.13151

Bibtex

@article{6a9ed03597c148d6a8e72809a53d970b,
title = "Embracing scale-dependence to achieve a deeper understanding of biodiversity and its change across communities",
abstract = "Because biodiversity is multidimensional and scale-dependent, it is challenging to estimate its change. However, it is unclear (1) how much scale-dependence matters for empirical studies, and (2) if it does matter, how exactly we should quantify biodiversity change. To address the first question, we analysed studies with comparisons among multiple assemblages, and found that rarefaction curves frequently crossed, implying reversals in the ranking of species richness across spatial scales. Moreover, the most frequently measured aspect of diversity – species richness – was poorly correlated with other measures of diversity. Second, we collated studies that included spatial scale in their estimates of biodiversity change in response to ecological drivers and found frequent and strong scale-dependence, including nearly 10% of studies which showed that biodiversity changes switched directions across scales. Having established the complexity of empirical biodiversity comparisons, we describe a synthesis of methods based on rarefaction curves that allow more explicit analyses of spatial and sampling effects on biodiversity comparisons. We use a case study of nutrient additions in experimental ponds to illustrate how this multi-dimensional and multi-scale perspective informs the responses of biodiversity to ecological drivers.",
keywords = "Evenness, Hill number, rarefaction, scale-dependence, Simpson's index, species richness, species–area relationship, Ecosystems Research",
author = "Chase, {Jonathan M.} and McGill, {Brian J.} and McGlinn, {Daniel J.} and Felix May and Blowes, {Shane A.} and Xiao Xiao and Knight, {Tiffany M.} and Oliver Purschke and Gotelli, {Nicholas J.}",
note = "{\textcopyright} 2018 John Wiley & Sons Ltd/CNRS.",
year = "2018",
month = nov,
day = "1",
doi = "10.1111/ele.13151",
language = "English",
volume = "21",
pages = "1737--1751",
journal = "Ecology Letters",
issn = "1461-023X",
publisher = "Wiley-Blackwell Publishing Ltd.",
number = "11",

}

RIS

TY - JOUR

T1 - Embracing scale-dependence to achieve a deeper understanding of biodiversity and its change across communities

AU - Chase, Jonathan M.

AU - McGill, Brian J.

AU - McGlinn, Daniel J.

AU - May, Felix

AU - Blowes, Shane A.

AU - Xiao, Xiao

AU - Knight, Tiffany M.

AU - Purschke, Oliver

AU - Gotelli, Nicholas J.

N1 - © 2018 John Wiley & Sons Ltd/CNRS.

PY - 2018/11/1

Y1 - 2018/11/1

N2 - Because biodiversity is multidimensional and scale-dependent, it is challenging to estimate its change. However, it is unclear (1) how much scale-dependence matters for empirical studies, and (2) if it does matter, how exactly we should quantify biodiversity change. To address the first question, we analysed studies with comparisons among multiple assemblages, and found that rarefaction curves frequently crossed, implying reversals in the ranking of species richness across spatial scales. Moreover, the most frequently measured aspect of diversity – species richness – was poorly correlated with other measures of diversity. Second, we collated studies that included spatial scale in their estimates of biodiversity change in response to ecological drivers and found frequent and strong scale-dependence, including nearly 10% of studies which showed that biodiversity changes switched directions across scales. Having established the complexity of empirical biodiversity comparisons, we describe a synthesis of methods based on rarefaction curves that allow more explicit analyses of spatial and sampling effects on biodiversity comparisons. We use a case study of nutrient additions in experimental ponds to illustrate how this multi-dimensional and multi-scale perspective informs the responses of biodiversity to ecological drivers.

AB - Because biodiversity is multidimensional and scale-dependent, it is challenging to estimate its change. However, it is unclear (1) how much scale-dependence matters for empirical studies, and (2) if it does matter, how exactly we should quantify biodiversity change. To address the first question, we analysed studies with comparisons among multiple assemblages, and found that rarefaction curves frequently crossed, implying reversals in the ranking of species richness across spatial scales. Moreover, the most frequently measured aspect of diversity – species richness – was poorly correlated with other measures of diversity. Second, we collated studies that included spatial scale in their estimates of biodiversity change in response to ecological drivers and found frequent and strong scale-dependence, including nearly 10% of studies which showed that biodiversity changes switched directions across scales. Having established the complexity of empirical biodiversity comparisons, we describe a synthesis of methods based on rarefaction curves that allow more explicit analyses of spatial and sampling effects on biodiversity comparisons. We use a case study of nutrient additions in experimental ponds to illustrate how this multi-dimensional and multi-scale perspective informs the responses of biodiversity to ecological drivers.

KW - Evenness

KW - Hill number

KW - rarefaction

KW - scale-dependence

KW - Simpson's index

KW - species richness

KW - species–area relationship

KW - Ecosystems Research

UR - http://www.scopus.com/inward/record.url?scp=85052920468&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/154a5b26-86fe-31c4-8d75-806015b28a0a/

U2 - 10.1111/ele.13151

DO - 10.1111/ele.13151

M3 - Scientific review articles

C2 - 30182500

AN - SCOPUS:85052920468

VL - 21

SP - 1737

EP - 1751

JO - Ecology Letters

JF - Ecology Letters

SN - 1461-023X

IS - 11

ER -

DOI

Recently viewed

Publications

  1. Modellieren in der Sekundarstufe
  2. The more severe the merrier: Severity of error consequences stimulates learning from error
  3. Plants, Androids and Operators
  4. A matter of connection
  5. The First 50 Contributions to the Data Observer Series - An Overview
  6. Support from the Internet for Individuals with Mental Disorders
  7. Second-order SMC with disturbance compensation for robust tracking control in PMSM applications
  8. Expanding the pie or spoiling the cake? How the number of negotiation issues affects integrative bargaining
  9. From simulation to real-world robotic mobile fulfillment systems
  10. Discourses for deep transformation
  11. Editorial overview
  12. Crack propagation in as-extruded and heat-treated mg-dy-nd-zn-zr alloy explained by the effect of lpso structures and their micro-and nanohardness
  13. Conditions of One-Way and Two-Way Approaches in Strategic Start-Up Communication
  14. Situated Institutions: The Role of Place, Space and Embeddedness in Institutional Dynamics
  15. Mobilizing Memes
  16. Is the Y/F Index Suitable for Population Genetic Studies?
  17. Modulation of T-effector function by imatinib at the level of cytokine secretion
  18. Relative wage positions and quit behavior
  19. How to measure the substantive representation of traditionally excluded groups in comparative research
  20. Similarity of molecular descriptors: The equivalence of Zagreb indices and walk counts
  21. High temperature deformation mechanisms and processing map for hot working of cast-homogenized Mg-3Sn-2Ca alloy
  22. Structural ambidexterity, transition processes, and integration trade‐offs: a longitudinal study of failed exploration
  23. Introduction
  24. Criticality and Values in Digital Transformation Research: Insights from a Workshop
  25. Endemic predators, invasive prey and native diversity
  26. Impacts of offshore wind farms on sediment structure and the water column during construction, and changes in bottom topography during the operation phase
  27. Techno-economic assessment of non-sterile batch and continuous production of lactic acid from food waste
  28. To Row Together or Paddle One's Own Canoe? Simulating Strategies to Spur Digital Platform Growth
  29. Influence of One Hour versus Two Hours of Daily Static Stretching for Six Weeks Using a Calf-Muscle-Stretching Orthosis on Maximal Strength
  30. Technical Note—The Joint Impact of F-Divergences and Reference Models on the Contents of Uncertainty Sets