Recent decades have been characterized by increasing temperatures worldwide, resulting
in an exponential climb in vapor pressure deficit (VPD). VPD has been identified as an …

Deep learning (DL), a new generation of artificial neural network research, has transformed
industries, daily lives, and various scientific disciplines in recent years. DL represents …

Obtaining accurate and widespread measurements of the vertical structure of the Earth's
forests has been a long-sought goal for the ecological community. Such observations are …

Human land-use activities have resulted in large changes to the biogeochemical and
biophysical properties of the Earth surface, with consequences for climate and other …

Accurate assessment of anthropogenic carbon dioxide (CO2) emissions and their
redistribution among the atmosphere, ocean, and terrestrial biosphere in a changing climate …

Tree mortality rates appear to be increasing in moist tropical forests (MTF s) with significant
carbon cycle consequences. Here, we review the state of knowledge regarding MTF tree …

Numerous current efforts seek to improve the representation of ecosystem ecology and
vegetation demographic processes within Earth System Models (ESM s). These …

Accurate representation of photosynthesis in terrestrial biosphere models (TBM s) is
essential for robust projections of global change. However, current representations vary …

Global change is impacting forests worldwide, threatening biodiversity and ecosystem
services including climate regulation. Understanding how forests respond is critical to forest …

Land surface models (LSMs) are a vital tool for understanding, projecting, and predicting the
dynamics of the land surface and its role within the Earth system, under global change …