M
Mark R. T. Dale
Researcher at University of Alberta
Publications - 71
Citations - 7598
Mark R. T. Dale is an academic researcher from University of Alberta. The author has contributed to research in topics: Spatial analysis & Vegetation. The author has an hindex of 30, co-authored 71 publications receiving 7360 citations.
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Spatial Analysis A Guide for Ecologists
TL;DR: In this paper, the authors present a spatial analysis of complete point location data, including points, lines, and graphs, and a multiscale analysis of the data set, including spatial diversity analysis and spatial autocorrelation.
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Responses of tundra plants to experimental warming:meta‐analysis of the international tundra experiment
A. M. Arft,Marilyn D. Walker,Jessica Gurevitch,Juha M. Alatalo,M. S. Bret-Harte,Mark R. T. Dale,M. Diemer,Felix Gugerli,Gregory H. R. Henry,Michael H. Jones,Robert D. Hollister,Ingibjörg S. Jónsdóttir,Kari Laine,Esther Lévesque,G. M. Marion,Ulf Molau,P. Mølgaard,Urban Nordenhäll,V. Raszhivin,Clare H. Robinson,Gregory Starr,Anna Stenström,Mikael Stenström,Ørjan Totland,P. L. Turner,L. J. Walker,P. J. Webber,Jeffrey M. Welker,Philip A. Wookey +28 more
TL;DR: Results indicate that key phenological events such as leaf bud burst and flowering occurred earlier in warmed plots throughout the study period; however, there was little impact on growth cessation at the end of the season.
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Impact of food and predation on the snowshoe hare cycle.
Charles J. Krebs,Stan Boutin,Rudy Boonstra,Anthony R. E. Sinclair,James N. M. Smith,Mark R. T. Dale,Kathy Martin,Roy Turkington +7 more
TL;DR: Food and predation together had a more than additive effect, which suggests that a three-trophic-level interaction generates hare cycles.
Journal ArticleDOI
The consequences of spatial structure for the design and analysis of ecological field surveys
Pierre Legendre,Mark R. T. Dale,Marie-Josée Fortin,Jessica Gurevitch,Michael Hohn,Donald E. Myers +5 more
TL;DR: In this paper, the authors compared the effect of spatial autocorrelation on the statistical tests commonly used by ecologists to analyse field survey data and found that the presence of a broad-scale spatial structure present in data has the same effect on the tests as spatial auto-correlation.
Journal ArticleDOI
A balanced view of scale in spatial statistical analysis
Jennifer L. Dungan,Joe N. Perry,Mark R. T. Dale,Pierre Legendre,S. Citron-Pousty,Marie-Josée Fortin,A. Jakomulska,M. Miriti,Michael S. Rosenberg +8 more
TL;DR: In this paper, the authors identify the influence of observational scale on statistical results as a subset of what geographers call the Modifiable Area Unit Problem (MAUP), and recommend a set of considerations for sampling design to allow useful tests for specific scales of a phenomenon under study.