Corrigendum to “Variability and uncertainty in net ecosystem carbon exchange modeling: Systematic estimates at global flux sites via ensemble machine learning” [Agricultural and Forest Meteorology, 374 (2025), 110784]

IF 5.7 1区 农林科学 Q1 AGRONOMY
Nannan Wang, Zijian Yue, Yaolin Liu, Zhaomin Tong, Yanfang Liu, Yanchi Lu, Yongge Shi
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引用次数: 0

Abstract

The authors regret that the article was published with incorrect citation information in Section 2.1.1. The revised citation information is as follows:
“净生态系统碳交换模型的变异性和不确定性:通过集成机器学习在全球通量站点的系统估计”[农林气象,374(2025),110784]的更正。
作者对文章发表时2.1.1章节引用信息有误表示遗憾。修改后的引文信息如下:
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
10.30
自引率
9.70%
发文量
415
审稿时长
69 days
期刊介绍: Agricultural and Forest Meteorology is an international journal for the publication of original articles and reviews on the inter-relationship between meteorology, agriculture, forestry, and natural ecosystems. Emphasis is on basic and applied scientific research relevant to practical problems in the field of plant and soil sciences, ecology and biogeochemistry as affected by weather as well as climate variability and change. Theoretical models should be tested against experimental data. Articles must appeal to an international audience. Special issues devoted to single topics are also published. Typical topics include canopy micrometeorology (e.g. canopy radiation transfer, turbulence near the ground, evapotranspiration, energy balance, fluxes of trace gases), micrometeorological instrumentation (e.g., sensors for trace gases, flux measurement instruments, radiation measurement techniques), aerobiology (e.g. the dispersion of pollen, spores, insects and pesticides), biometeorology (e.g. the effect of weather and climate on plant distribution, crop yield, water-use efficiency, and plant phenology), forest-fire/weather interactions, and feedbacks from vegetation to weather and the climate system.
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