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Open AccessJournal ArticleDOI

Rapid and highly variable warming of lake surface waters around the globe

Catherine M. O'Reilly, +63 more
- 28 Dec 2015 - 
- Vol. 42, Iss: 24, pp 10773-10781
TLDR
In the first worldwide synthesis of in situ and satellite-derived lake data, this paper found that lake summer surface water temperatures rose rapidly (global mean = 0.34°C decade−1) between 1985 and 2009.
Abstract
In this first worldwide synthesis of in situ and satellite-derived lake data, we find that lake summer surface water temperatures rose rapidly (global mean = 0.34°C decade−1) between 1985 and 2009. Our analyses show that surface water warming rates are dependent on combinations of climate and local characteristics, rather than just lake location, leading to the counterintuitive result that regional consistency in lake warming is the exception, rather than the rule. The most rapidly warming lakes are widely geographically distributed, and their warming is associated with interactions among different climatic factors—from seasonally ice-covered lakes in areas where temperature and solar radiation are increasing while cloud cover is diminishing (0.72°C decade−1) to ice-free lakes experiencing increases in air temperature and solar radiation (0.53°C decade−1). The pervasive and rapid warming observed here signals the urgent need to incorporate climate impacts into vulnerability assessments and adaptation efforts for lakes.

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Citations
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Journal ArticleDOI

Widespread global increase in intense lake phytoplankton blooms since the 1980s

TL;DR: Three decades of high-resolution Landsat 5 satellite imagery are used to investigate long-term trends in intense summertime near-surface phytoplankton blooms for 71 large lakes globally, revealing a worldwide exacerbation of bloom conditions.
Journal ArticleDOI

Global lake responses to climate change

TL;DR: A review of physical lake variables and their responses to climate change is presented in this paper, where the authors discuss recent and expected lake responses and look towards future research opportunities in lake monitoring and modelling.
Journal ArticleDOI

Worldwide alteration of lake mixing regimes in response to climate change

TL;DR: In this article, the authors used a one-dimensional lake model to assess climate change impacts on mixing regimes in 635 lakes worldwide and concluded that many lakes will mix less frequently in response to climate change.
Journal ArticleDOI

Ecology under lake ice

Stephanie E. Hampton, +62 more
- 01 Jan 2017 - 
TL;DR: This is the first global quantitative synthesis on under-ice lake ecology, including 36 abiotic and biotic variables from 42 research groups and 101 lakes, examining seasonal differences and connections as well as how seasonal differences vary with geophysical factors.
References
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Journal ArticleDOI

The Analysis of Spatial Association by Use of Distance Statistics

TL;DR: In this article, a family of statistics, G, is introduced to evaluate the spatial association of a variable within a specified distance of a single point, and a comparison is made between a general G statistic and Moran's I for similar hypothetical and empirical conditions.
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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.
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Classification and regression trees: a powerful yet simple technique for ecological data analysis

TL;DR: This work uses classification and regression trees to analyze survey data from the Australian central Great Barrier Reef, comprising abundances of soft coral taxa and physical and spatial environmental information and shows how linear models fail to find patterns uncovered by the trees.
Journal ArticleDOI

Local Spatial Autocorrelation Statistics: Distributional Issues and an Application

J. K. Ord, +1 more
TL;DR: In this paper, the statistics Gi(d) and Gi*(d), introduced in Getis and Ord (1992) for the study of local pattern in spatial data, are extended and their properties further explored.
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