Abstract Increasing forest productivity is important to meet future demand for forest products, and to improve resilience in the face of climate change. Forest productivity depends on many things, but the timing of leaf development (hereafter: “plant phenology”) is especially important. However, our understanding of how plant phenology affects the productivity of managed forests, and how silviculture may in turn affect phenology, has been limited because of the spatial scale mismatch between phenological data and field experimental observations. In this study, we take advantage of a new 30 m satellite land surface phenology dataset and stand growth measurements from long-term experimental pine plantation sites in the southeastern United States to investigate the question: is stand growth related to remotely sensed phenology metrics? Multiple linear regression and random forest models were fitted to quantify the effect of phenology and silvicultural treatments on stand growth. We found that 1) Greater wood volume growth was associated with longer green up periods; 2) Fertilization elevated EVI2 measurement values during the whole growing season, especially in the winter; 3) Competing vegetation could affect remotely sensed observations and complicates interpretation of remotely sensed phenology metrics.

中文翻译：

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更长的绿化期与管理松林中更大的木材量增长相关

摘要 提高森林生产力对于满足未来对林产品的需求以及提高应对气候变化的适应能力非常重要。森林生产力取决于许多因素，但叶子发育的时间（以下简称“植物物候”）尤为重要。然而，我们对植物物候学如何影响管理森林的生产力，以及造林如何反过来影响物候学的理解一直受到限制，因为物候数据和现场实验观察之间的空间尺度不匹配。在这项研究中，我们利用一个新的 30 m 卫星地表物候数据集和美国东南部长期试验性松树种植园的林分生长测量来调查这个问题：林分增长与遥感物候指标有关吗？拟合多元线性回归和随机森林模型来量化物候和造林处理对林分生长的影响。我们发现 1) 更大的木材体积增长与更长的绿化期有关；2）施肥提高了整个生长季节的EVI2测量值，尤其是在冬季；3) 竞争植被可能影响遥感观测并使遥感物候指标的解释复杂化。尤其是在冬天；3) 竞争植被可能影响遥感观测并使遥感物候指标的解释复杂化。尤其是在冬天；3) 竞争植被可能影响遥感观测并使遥感物候指标的解释复杂化。