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Earlier springs decrease peak summer productivity in North American boreal forests

TLDR
In this paper, the authors analyzed nearly three decades (1982?2008) of observational records and derived products, including satellite microwave and optical imagery as well as upscaled ecosystem flux observations, to better understand how shifts in seasonality impact hydrology and productivity in the North American boreal forests.
Abstract
In the northern high latitudes, alternative hypotheses with regards to how warming-related shifts in seasonality influence ecosystem productivity exist. Increased plant growth associated with a longer growing season may enhance ecosystem productivity, but shifts to earlier springs may also negatively influence soil moisture status and productivity during the peak of the growing season. Here, we analyzed nearly three decades (1982?2008) of observational records and derived products, including satellite microwave and optical imagery as well as upscaled ecosystem flux observations, to better understand how shifts in seasonality impact hydrology and productivity in the North American boreal forests. We identified a dominant adverse influence of earlier springs on peak summer forest greenness, actual evapotranspiration and productivity at interannual time scales across the drier western and central sections of the North American boreal forests. In the vast regions where this spring onset mechanism operates, ecosystem productivity gains from earlier springs during the early portion of the growing season are effectively cancelled through corresponding losses in the later portion. Our results also indicate that recent decadal shifts towards earlier springs and associated drying in the midst of the growing season over western North American boreal forests may have contributed to the reported declines in summer productivity and increases in tree mortality and fire activity. With projections of accelerated northern high-latitude warming and associated shifts to earlier springs, persistent soil moisture deficits in peak summer may be an effective mechanism for regional-scale boreal forest dieback through their strong influence on productivity, tree mortality and disturbance dynamics.

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Journal ArticleDOI

Exploring the Best-Matching Plant Traits and Environmental Factors for Vegetation Indices in Estimates of Global Gross Primary Productivity

Weiqing Zhao, +1 more
- 13 Dec 2022 - 
TL;DR: In this article , two types of models (universal and plant functional type [PFT]-specific) were constructed for solar-induced chlorophyll fluorescence (SIF), near-infrared reflectance of vegetation (NIRv), and leaf area index (LAI) based on two widely used machine learning algorithms, i.e., the random forest (RF) and back propagation neural network (BPNN) algorithms.
Journal ArticleDOI

Vegetation phenology and its ecohydrological implications from individual to global scales

TL;DR: In this paper , the authors reviewed the responses of vegetation phenology to climate change and its impacts on carbon cycling, and reported that the effect of shifted phenology on the terrestrial carbon fluxes is substantially different between spring and autumn.
Journal ArticleDOI

A Simple Method of Predicting Autumn Leaf Coloring Date Using Machine Learning with Spring Leaf Unfolding Date

TL;DR: In this article, a simple data-based prediction model for leaf coloring dates of temperate deciduous trees was developed by applying machine learning to datasets obtained from the newly established South Korean national-scale phenology network (NPN).
Journal ArticleDOI

Remote Sensing of Seasonal Variation of Lai and Fapar in a Deciduous Broadleaf Forest

TL;DR: In this paper , the authors examined how and why seasonal-scale covariation differs among time series of remotely sensed SVIs and both leaf area index (LAI) and fAPAR based on current understanding and theory.
Journal ArticleDOI

Snow disappearance timing associated with elevation and vegetation type determines heterogeneity in spring onset in interior Alaska

TL;DR: In this article , the spatiotemporal variations in spring onset were evaluated based on a satellite-derived enhanced vegetation index (EVI), land surface temperature, and snow cover from 2000 to 2021 in interior Alaska.
References
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Climate change 2007: the physical science basis

TL;DR: The first volume of the IPCC's Fourth Assessment Report as mentioned in this paper was published in 2007 and covers several topics including the extensive range of observations now available for the atmosphere and surface, changes in sea level, assesses the paleoclimatic perspective, climate change causes both natural and anthropogenic, and climate models for projections of global climate.
Book

Climate change 2007 : the physical science basis : contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change

Susan Solomon
TL;DR: In this article, the authors present a historical overview of climate change science, including changes in atmospheric constituents and radiative forcing, as well as changes in snow, ice, and frozen ground.
Journal ArticleDOI

A Multiscalar Drought Index Sensitive to Global Warming: The Standardized Precipitation Evapotranspiration Index

TL;DR: In this article, a new climatic drought index, the standardized precipitation evapotranspiration index (SPEI), is proposed, which combines multiscalar character with the capacity to include the effects of temperature variability on drought assessment.
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