Predicting greenhouse gas fluxes in coastal salt marshes using artificial neural networks
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Environmental Science,Ecology,Environmental Chemistry
Link
https://link.springer.com/content/pdf/10.1007/s13157-022-01558-2.pdf
Reference92 articles.
1. Abdul-Aziz OI, Ishtiaq KS, Tang J, Moseman-Valtierra S, Kroeger KD, Gonneea ME, Mora J, Morkeski K (2018) Environmental controls, emergent scaling, and predictions of greenhouse gas (GHG) fluxes in coastal salt marshes. J Geophys Res-Biogeo 123:2234–2256. https://doi.org/10.1029/2018JG004556
2. Abdul-Aziz OI, Tang J, Moseman-Valtierra S (2021): GHG flux dataset of Waquoit Bay, MA, USA saltmarshes (May-October 2013). figshare. Dataset. https://doi.org/10.6084/m9.figshare.15125148.v1
3. Akaike H (1974) A new look at the statistical model identification. IEEE T Automat Contr 19:716–723. https://doi.org/10.1109/TAC.1974.1100705
4. Archibald SA, Kirton A, Van der Merwe MR, Scholes RJ, Williams CA, Hanan N (2009) Drivers of inter-annual variability in Net Ecosystem Exchange in a semi-arid savanna ecosystem, South Africa. Biogeosciences 6:251–266. https://doi.org/10.5194/bg-6-251-2009
5. Bartlett KB, Bartlett DS, Harriss RC, Sebacher DI (1987) Methane emissions along a salt marsh salinity gradient. Biogeochemistry 4:183–202. https://doi.org/10.1007/BF02187365
Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. A data-driven framework to inform sustainable management of animal manure in rural agricultural regions using emerging resource recovery technologies;Cleaner Environmental Systems;2024-06
2. Empirical Dynamic Modeling Reveals Complexity of Methane Fluxes in a Temperate Salt Marsh;Journal of Geophysical Research: Biogeosciences;2024-02
3. Applying deep neural networks to forecast the inside temperature of a semi-arid greenhouse;International Journal of Sustainable Agricultural Management and Informatics;2024
4. A Critical Review of Data Science Applications in Resource Recovery and Carbon Capture from Organic Waste;ACS ES&T Engineering;2023-09-29
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3