{"title":"Erratum to “Poor relationships between NEON airborne observation platform data and field-based vegetation traits at a mesic grassland”","authors":"","doi":"10.1002/ecy.4497","DOIUrl":null,"url":null,"abstract":"<p>Pau, S., J. B. Nippert, R. Slapikas, D. Griffith, S. Bachle, B. R. Helliker, R. C. O'Connor, W. J. Riley, C. J. Still, and M. Zaricor. 2022. “Poor Relationships Between NEON Airborne Observation Platform Data and Field-Based Vegetation Traits at a Mesic Grassland.” <i>Ecology</i> 103(2): e03590. https://doi.org/10.1002/ecy.3590.</p><p>Two of the four NEON Aerial Observation Platform (AOP)–derived data products analyzed in this paper, canopy nitrogen (DP3.30018.001; accessed June 1, 2020) and total biomass (DP3.30016.001; accessed June 1, 2020), were suspended while this article was in revision. These data suspensions were noted in the published code, and the authors affirm the data suspensions do not affect the primary results or conclusions.</p><p>Finally, none of the analyses, results, or conclusions based on the full orthorectified raw surface reflectance data (DP3.30006.001; accessed June 1, 2020; not currently suspended) are affected by the data suspensions.</p><p>Overall, the authors' results demonstrate that the AOP data they analyzed cannot be used to infer certain vegetation traits without extensive ground validation at their diverse, high-biomass grassland site at 1-m spatial resolution.</p>","PeriodicalId":11484,"journal":{"name":"Ecology","volume":"106 1","pages":""},"PeriodicalIF":4.3000,"publicationDate":"2025-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ecy.4497","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ecology","FirstCategoryId":"93","ListUrlMain":"https://esajournals.onlinelibrary.wiley.com/doi/10.1002/ecy.4497","RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Pau, S., J. B. Nippert, R. Slapikas, D. Griffith, S. Bachle, B. R. Helliker, R. C. O'Connor, W. J. Riley, C. J. Still, and M. Zaricor. 2022. “Poor Relationships Between NEON Airborne Observation Platform Data and Field-Based Vegetation Traits at a Mesic Grassland.” Ecology 103(2): e03590. https://doi.org/10.1002/ecy.3590.
Two of the four NEON Aerial Observation Platform (AOP)–derived data products analyzed in this paper, canopy nitrogen (DP3.30018.001; accessed June 1, 2020) and total biomass (DP3.30016.001; accessed June 1, 2020), were suspended while this article was in revision. These data suspensions were noted in the published code, and the authors affirm the data suspensions do not affect the primary results or conclusions.
Finally, none of the analyses, results, or conclusions based on the full orthorectified raw surface reflectance data (DP3.30006.001; accessed June 1, 2020; not currently suspended) are affected by the data suspensions.
Overall, the authors' results demonstrate that the AOP data they analyzed cannot be used to infer certain vegetation traits without extensive ground validation at their diverse, high-biomass grassland site at 1-m spatial resolution.
paul, S, J. B. Nippert, R. Slapikas, D. Griffith, S. Bachle, B. R. Helliker, R. C. O'Connor, W. J. Riley, C. J. Still和M. Zaricor。2022。“NEON机载观测平台数据与Mesic草原野外植被特征之间的不良关系。”生态学报[j](2): 393 - 393。本文分析的四个NEON空中观测平台(AOP)衍生数据产品的https://doi.org/10.1002/ecy.3590.Two,冠层氮(DP3.30018.001;获取于2020年6月1日)和总生物量(DP3.30016.001;于2020年6月1日访问),在本文修订期间被暂停。这些数据暂停在已公布的代码中进行了说明,作者确认数据暂停不影响初步结果或结论。最后,没有一项分析、结果或结论是基于完整的正校正原始表面反射率数据(DP3.30006.001;2020年6月1日生效;当前未挂起)受到数据挂起的影响。总的来说,作者的结果表明,他们分析的AOP数据不能用于推断某些植被特征,如果没有在1米空间分辨率下对其多样化的高生物量草地进行广泛的地面验证。
期刊介绍:
Ecology publishes articles that report on the basic elements of ecological research. Emphasis is placed on concise, clear articles documenting important ecological phenomena. The journal publishes a broad array of research that includes a rapidly expanding envelope of subject matter, techniques, approaches, and concepts: paleoecology through present-day phenomena; evolutionary, population, physiological, community, and ecosystem ecology, as well as biogeochemistry; inclusive of descriptive, comparative, experimental, mathematical, statistical, and interdisciplinary approaches.