This article is a correction to:
Forest Edges Near Farms Enhance Wheat Productivity Measures: A Test Using High Spatial Resolution Remote Sensing of Smallholder Farms in Southern Ethiopia
Kevin F. Yang
Sarah E. Gergel
Jean-Yves Duriaux-Chavarría
Frédéric Baudron- 1Department of Forest and Conservation Science, Faculty of Forestry, University of British Columbia, Vancouver, BC, Canada
- 2International Maize and Wheat Improvement Centre (CIMMYT), Harare, Zimbabwe
by Yang, K. F., Gergel, S. E., Duriaux-Chavarría, J.-Y., and Baudron, F. (2020). Front. Sustain. Food Syst. 4:130. doi: 10.3389/fsufs.2020.00130
In the original article, there was a mistake in the legend for Figure 3 as published. The order of the plots should match that of the newly uploaded Figure 3. The correct legend appears below.
In the original article, there was a mistake in Figure 3 as published. An incorrect version of Figure 3 was uploaded during proof correction. The corrected Figure 3 appears below.
FIGURE 3
Figure 3. Plot of least squares mean for NDVI, GCVI, and MSAVI in wheat fields at distances of 10–30, 31–40, 51–70, 71–90 m, and control. Derived from linear model least squares means. Error bars denote standard error. n = 40 for all distance classes, n = 25 for control. *P ≤ 0.05, **P ≤ 0.01, ***P ≤ 0.001.
The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.
Keywords: forest edge effects, vegetation indices, landscape approach, smallholder agriculture, high spatial resolution imagery, food security, ecosystem services, forest fragmentation
Citation: Yang KF, Gergel SE, Duriaux-Chavarría J-Y and Baudron F (2020) Corrigendum: Forest Edges Near Farms Enhance Wheat Productivity Measures: A Test Using High Spatial Resolution Remote Sensing of Smallholder Farms in Southern Ethiopia. Front. Sustain. Food Syst. 4:604887. doi: 10.3389/fsufs.2020.604887
Received: 10 September 2020; Accepted: 22 September 2020;
Published: 26 October 2020.
Edited and reviewed by: Rebecca Chaplin-Kramer, Stanford University, United States
Copyright © 2020 Yang, Gergel, Duriaux-Chavarría and Baudron. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Kevin F. Yang, k.yang180@gmail.com