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      Temporal Trends and Spatial Variability of Vegetation Phenology over the Northern Hemisphere during 1982-2012

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          Abstract

          Satellite-derived vegetation phenology has been recognized as a key indicator for detecting changes in the terrestrial biosphere in response to global climate change. However, multi-decadal changes and spatial variation of vegetation phenology over the Northern Hemisphere and their relationship to climate change have not yet been fully investigated. In this article, we investigated the spatial variability and temporal trends of vegetation phenology over the Northern Hemisphere by calibrating and analyzing time series of the satellite-derived normalized difference vegetation index (NDVI) during 1982–2012, and then further examine how vegetation phenology responds to climate change within different ecological zones. We found that during the period from 1982 to 2012 most of the high latitude areas experienced an increase in growing period largely due to an earlier beginning of vegetation growing season (BGS), but there was no significant trend in the vegetation growing peaks. The spatial pattern of phenology within different eco-zones also experienced a large variation over the past three decades. Comparing the periods of 1982–1992, 1992–2002 with 2002–2012, the spatial pattern of change rate of phenology shift (RPS) shows a more significant trend in advancing of BGS, delaying of EGS (end of growing season) and prolonging of LGS (length of growing season) during 2002–2012, overall shows a trend of accelerating change. Temperature is a major determinant of phenological shifts, and the response of vegetation phenology to temperature varied across different eco-zones.

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          Plant science. Phenology under global warming.

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            Influence of spring and autumn phenological transitions on forest ecosystem productivity.

            We use eddy covariance measurements of net ecosystem productivity (NEP) from 21 FLUXNET sites (153 site-years of data) to investigate relationships between phenology and productivity (in terms of both NEP and gross ecosystem photosynthesis, GEP) in temperate and boreal forests. Results are used to evaluate the plausibility of four different conceptual models. Phenological indicators were derived from the eddy covariance time series, and from remote sensing and models. We examine spatial patterns (across sites) and temporal patterns (across years); an important conclusion is that it is likely that neither of these accurately represents how productivity will respond to future phenological shifts resulting from ongoing climate change. In spring and autumn, increased GEP resulting from an 'extra' day tends to be offset by concurrent, but smaller, increases in ecosystem respiration, and thus the effect on NEP is still positive. Spring productivity anomalies appear to have carry-over effects that translate to productivity anomalies in the following autumn, but it is not clear that these result directly from phenological anomalies. Finally, the productivity of evergreen needleleaf forests is less sensitive to phenology than is productivity of deciduous broadleaf forests. This has implications for how climate change may drive shifts in competition within mixed-species stands.
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              Reduced growth of Alaskan white spruce in the twentieth century from temperature-induced drought stress.

              The extension of growing season at high northern latitudes seems increasingly clear from satellite observations of vegetation extent and duration. This extension is also thought to explain the observed increase in amplitude of seasonal variations in atmospheric CO2 concentration. Increased plant respiration and photosynthesis both correlate well with increases in temperature this century and are therefore the most probable link between the vegetation and CO2 observations. From these observations, it has been suggested that increases in temperature have stimulated carbon uptake in high latitudes and for the boreal forest system as a whole. Here we present multi-proxy tree-ring data (ring width, maximum late-wood density and carbon-isotope composition) from 20 productive stands of white spruce in the interior of Alaska. The tree-ring records show a strong and consistent relationship over the past 90 years and indicate that, in contrast with earlier predictions, radial growth has decreased with increasing temperature. Our data show that temperature-induced drought stress has disproportionately affected the most rapidly growing white spruce, suggesting that, under recent climate warming, drought may have been an important factor limiting carbon uptake in a large portion of the North American boreal forest. If this limitation in growth due to drought stress is sustained, the future capacity of northern latitudes to sequester carbon may be less than currently expected.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                8 June 2016
                2016
                : 11
                : 6
                : e0157134
                Affiliations
                [1 ]Key Laboratory of Digital Earth, Institute of Remote Sensing and Digital Earth, Chinese Academy of Science, Beijing, China
                [2 ]Ecosystem Dynamics and Global Ecology Laboratory, School of Forestry and Wildlife Sciences, Auburn University, Auburn, Alabama, United States of America
                Kerala Forest Research Institute, INDIA
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Conceived and designed the experiments: SW BY. Performed the experiments: SW BY QY XW. Analyzed the data: SW BY QY XW. Contributed reagents/materials/analysis tools: SW BY QY XW. Wrote the paper: SW BY QY LL YP.

                ‡ These authors also contributed equally to this work.

                Article
                PONE-D-15-52436
                10.1371/journal.pone.0157134
                4898742
                27276082
                80b6446d-40ef-4fdf-83f2-7b6ab38abe0f
                © 2016 Wang et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 16 January 2016
                : 25 May 2016
                Page count
                Figures: 10, Tables: 1, Pages: 21
                Funding
                Funded by: Natural Science Foundation of China
                Award ID: 41271426
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/501100001809, National Natural Science Foundation of China;
                Award ID: 41428103
                Award Recipient :
                Funded by: “1-3-5 Project” of Chinese Academy of Sciences
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/501100001809, National Natural Science Foundation of China;
                Award ID: No.91547107
                Award Recipient :
                This study was supported by the Natural Science Foundation of China (Grant No. 41271426, No. 41428103 and 91547107), National Basic Research Program of China (No. 2011CB707100), and “1-3-5 Project” of Chinese Academy of Sciences.
                Categories
                Research Article
                Earth sciences
                Geography
                Geographic areas
                Northern Hemisphere
                Earth Sciences
                Seasons
                Earth Sciences
                Geography
                Cartography
                Latitude
                Biology and Life Sciences
                Ecology
                Ecosystems
                Forests
                Ecology and Environmental Sciences
                Ecology
                Ecosystems
                Forests
                Ecology and Environmental Sciences
                Terrestrial Environments
                Forests
                Earth Sciences
                Seasons
                Spring
                Earth Sciences
                Atmospheric Science
                Climatology
                Climate Change
                Earth Sciences
                Atmospheric Science
                Meteorology
                Snow
                Earth Sciences
                Seasons
                Autumn
                Custom metadata
                The NDVI long-term data for this paper were downloaded freely from Global Inventory Modelling and Mapping Studies (GIMMS) of the Global Land Cover Facility, University of Maryland ( http://glcf.umd.edu/data/gimms/) and NOAA’s Earth Observing System Data and Information System (EOSDIS) ( http://data.nasa.gov/earth-observing-system-data-and-information-system-eosdis/). The Holdridge Life eco-zones data for this paper were downloaded from the Food and Agriculture Organization of the United Nations (FAO) ( http://www.fao.org/docrep/006/ad652e/ad652e10.htm/). The global meteorological data are available at the National Centers for Environmental Prediction/National Center for Atmospheric Sciences (NCEP/NCAR) ( http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanalysis.html), and the global vegetation cover data are available at Department of Geography, the University of Maryland ( http://glcf.umd.edu/data/landcover/).

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