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Open AccessJournal ArticleDOI

Snowmelt control on spring hydrology declines as the vernal window lengthens

TLDR
In this paper, the authors examined how climate change will alter the vernal window and thereby impact basic hydrology during this transitional period and found that over the 21st century, the window will lengthen by +15 to +28 days in northeastern North America.
Abstract
The vernal window, or the winter-to-spring transition, is a key period for seasonally snow-covered, forested ecosystems. The events that open and close the vernal window shape the unique characteristics of spring hydrology that, in turn, influence both terrestrial and aquatic ecosystem processes. Few studies have examined how climate change will alter the vernal window and thereby impact basic hydrology during this transitional period. We project that over the 21st century the vernal window will lengthen by +15 to +28 days in northeastern North America. Loss of snow cover under a high forcing scenario eliminates the vernal window across 59% of the study domain, removing snow's influence on spring runoff in those areas. Spring runoff timing where the vernal window lengthens but does not disappear becomes similar to the southern, snow-free region where precipitation drives winter runoff, indicating a fundamental change in the hydrologic character of northeastern forested ecosystems.

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Tracking vegetation phenology across diverse North American biomes using PhenoCam imagery: A new, publicly-available dataset

TL;DR: In this article, the authors presented a series of datasets, together consisting of almost 750 years of observations, characterizing vegetation phenology in diverse ecosystems across North America, derived from conventional, visible-wavelength, automated digital camera imagery collected through the PhenoCam network, with RGB (red, green, blue) colour channel information, with means and other statistics calculated across a region-of-interest (ROI) delineating a specific vegetation type.
Journal ArticleDOI

Spatial and Temporal Shifts in Historic and Future Temperature and Precipitation Patterns Related to Snow Accumulation and Melt Regimes in Alberta, Canada

TL;DR: In this article, the authors evaluate winter climate changes in the six ecozones (Mountains, Foothills, Prairie, Parkland, Boreal, and Taiga) in Alberta, Canada, and identify regions of elevated susceptibility to change.
Peer ReviewDOI

Uncertainty Analysis in Multi‐Sector Systems: Considerations for Risk Analysis, Projection, and Planning for Complex Systems

TL;DR: In this paper , the authors provide a classification of uncertainty types and discuss model coupling frameworks to support interdisciplinary collaboration on multi-sector dynamics (MSD) research, and make recommendations for best practices to ensure that MSD research can be properly contextualized with respect to the underlying uncertainties.
References
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Book

Mixed Effects Models and Extensions in Ecology with R

TL;DR: In this paper, the authors apply additive mixed modelling on phyoplankton time series data and show that the additive model can be used to estimate the age distribution of small cetaceans.
Journal ArticleDOI

Global Water Resources: Vulnerability from Climate Change and Population Growth

TL;DR: Numerical experiments combining climate model outputs, water budgets, and socioeconomic information along digitized river networks demonstrate that (i) a large proportion of the world's population is currently experiencing water stress and (ii) rising water demands greatly outweigh greenhouse warming in defining the state of global water systems to 2025.
Journal ArticleDOI

Potential impacts of a warming climate on water availability in snow-dominated regions

TL;DR: In a warmer world, less winter precipitation falls as snow and the melting of winter snow occurs earlier in spring, which leads to a shift in peak river runoff to winter and early spring, away from summer and autumn when demand is highest.
Journal ArticleDOI

Statistical analysis of repeated measures data using SAS procedures.

TL;DR: This procedure implements random effects in the statistical model and permits modeling the covariance structure of the data, and can compute efficient estimates of fixed effects and valid standard errors of the estimates in the SAS System.
Journal ArticleDOI

RCP 8.5—A scenario of comparatively high greenhouse gas emissions

TL;DR: In this paper, the authors summarized the main characteristics of the RCP8.5 scenario and explored scenario variants that use RCP 8.5 as a baseline, and assume different degrees of greenhouse gas mitigation policies to reduce radiative forcing.
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