A Non-Stationary 1981–2012 AVHRR NDVI3g Time Series

Pinzón, Jorge Enrique Dí­az; Tucker, Compton J.

doi:10.3390/rs6086929

Cited by 1,012 publications

(730 citation statements)

References 79 publications

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“…Processed NDVI satellite data based on advanced very high-resolution radiometer (AVHRR) raw data were obtained from the latest version (3g) of the Global Inventory for Mapping and Modeling Studies (GIMMS) (47), which covers July 1981 to December 2012 at a temporal resolution of ∼2 wk (24 scenes per y per pixel) and a spatial resolution of 0.083°( ∼9 km). For photosynthetically active vegetation, the NDVI ranges from 0 to 1.…”

Section: Methodsmentioning

confidence: 99%

No growth stimulation of Canada’s boreal forest under half-century of combined warming and CO ₂ fertilization

Girardin

Bouriaud

Hogg

et al. 2016

Proc. Natl. Acad. Sci. U.S.A.

260

246

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Considerable evidence exists that current global temperatures are higher than at any time during the past millennium. However, the long-term impacts of rising temperatures and associated shifts in the hydrological cycle on the productivity of ecosystems remain poorly understood for mid to high northern latitudes. Here, we quantify species-specific spatiotemporal variability in terrestrial aboveground biomass stem growth across Canada's boreal forests from 1950 to the present. We use 873 newly developed tree-ring chronologies from Canada's National Forest Inventory, representing an unprecedented degree of sampling standardization for a largescale dendrochronological study. We find significant regional-and species-related trends in growth, but the positive and negative trends compensate each other to yield no strong overall trend in forest growth when averaged across the Canadian boreal forest. The spatial patterns of growth trends identified in our analysis were to some extent coherent with trends estimated by remote sensing, but there are wide areas where remote-sensing information did not match the forest growth trends. Quantifications of tree growth variability as a function of climate factors and atmospheric CO 2 concentration reveal strong negative temperature and positive moisture controls on spatial patterns of tree growth rates, emphasizing the ecological sensitivity to regime shifts in the hydrological cycle. An enhanced dependence of forest growth on soil moisture during the late-20th century coincides with a rapid rise in summer temperatures and occurs despite potential compensating effects from increased atmospheric CO 2 concentration. drought impacts | climate change | dendrochronology | normalized difference vegetation index | ecology C ircumpolar boreal forests are estimated to store ∼53.9 Pg of carbon or ∼14% of terrestrial vegetation biomass (1). These regions are currently experiencing accelerated changes, including warmer and longer growing seasons, tree line expansion, species migration, increased frequency and severity of drought, and increases in the frequency and severity of disturbances (2-10). These changes create uncertainty about the boreal forests' future role in the global carbon cycle (11). Adding to this uncertainty is the discrepancy over recent changes in the productivity of boreal and other northern latitude forests. Some empirical evidence suggests increases in the forest productivity (12)(13)(14), whereas other studies suggest decreasing productivity over the last decades (7,8,(15)(16)(17). Furthermore, inversion and process-based ecosystem models indicate large carbon sinks (7,8), whereas field-based bottom-up approaches suggest smaller carbon sinks or small carbon sources (3, 18), or large sinks (19). Quantifying

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Section: Methodsmentioning

confidence: 99%

No growth stimulation of Canada’s boreal forest under half-century of combined warming and CO ₂ fertilization

Girardin

Bouriaud

Hogg

et al. 2016

Proc. Natl. Acad. Sci. U.S.A.

260

246

View full text Add to dashboard Cite

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“…Observed vegetation sensitivities were determined from GIMMS3g normalised difference vegetation index data (NDVI) (Pinzon and Tucker 2014) at 0.083°spatial resolution and ET from water-balance evapotranspiration calculated from observed runoff (Zhang et al 2013) and gridded precipitation at 0.05°spatial resolution from the ANUCLIM archive (Xu and Hutchinson 2013). These were compared to LXP-simulated AET and foliage projective cover (FPC).…”

Section: Evaluation Of Historical Lpx Simulationsmentioning

confidence: 99%

Vegetation plays an important role in mediating future water resources

Ukkola

Keenan

Kelley

et al. 2016

Environ. Res. Lett.

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Future environmental change is expected to modify the global hydrological cycle, with consequences for the regional distribution of freshwater supplies. Regional precipitation projections, however, differ largely between models, making future water resource projections highly uncertain. Using two representative concentration pathways and nine climate models, we estimate 21st century water resources across Australia, employing both a process-based dynamic vegetation model and a simple hydrological framework commonly used in water resource studies to separate the effects of climate and vegetation on water resources. We show surprisingly robust, pathway-independent regional patterns of change in water resources despite large uncertainties in precipitation projections. Increasing plant water use efficiency (due to the changing atmospheric CO 2 ) and reduced green vegetation cover (due to the changing climate) relieve pressure on water resources for the highly populated, humid coastal regions of eastern Australia. By contrast, in semi-arid regions across Australia, runoff declines are amplified by CO 2 -induced greening, which leads to increased vegetation water use. These findings highlight the importance of including vegetation dynamics in future water resource projections.

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“…The 8-km spatial resolution Global Inventory Modeling and Mapping Studies (GIMMS) NDVI dataset from 1982 to 2012 was provided by the NASA Global Inventory Monitoring and Modelling Systems group [32,33]. The data were derived from the Advanced Very High Resolution Radiometer (AVHRR) instruments on board the National Oceanic and Atmospheric Administration's (NOAA) satellite series, which provides the longest time coverage in China.…”

Section: Ndvi Time-series Data During 1982-2012mentioning

confidence: 99%

Variation in Cropping Intensity in Northern China from 1982 to 2012 Based on GIMMS-NDVI Data

et al. 2016

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Abstract:Cropping intensity is an important indicator of the intensity of cropland use and plays a very important role in food security. In this study, we reconstructed a normalized difference vegetation index (NDVI) time-series from 1982 to 2012 using the Savitzky-Golay (S-G) technique and used it to derive a multiple cropping index (MCI) combined with land use data. Spatial-temporal patterns of variation in the MCI of northern China were as follows: (1) The MCI in northern China increased gradually from north-west to south-east; from 1982 to 2012, the mean cropping index across grid-cells over the study area increased by 4.36% per 10 years (p < 0.001) with fluctuations throughout the study period; (2) The mean MCI across grid-cells over the whole of northern China increased from 107% to 115% with all provinces showing an increasing trend throughout the 1980s and 1990s. Aside from Tianjin, Hebei, Beijing, and Shandong, all provinces also displayed an increasing trend between the 1990s and 2000s. Arable slope played an important role in the variation of the MCI; regions with slope ≤3 • and the regions with slope >3 • were characterized by inverse temporal MCI trends; (3) Drivers of change in the MCI were diverse and varied across different spatial and temporal scales; the MCI was affected by the changing agricultural population, deployment of food policies, and methods introduced for maximizing farmer benefits. For the protection of national food security, measures are needed to improve the MCI. However, more attention should also be given to the negative impacts that these measures may have on agricultural sustainability, such as soil pollution by chemical fertilizers and pesticides.

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A Non-Stationary 1981–2012 AVHRR NDVI3g Time Series

Cited by 1,012 publications

References 79 publications

No growth stimulation of Canada’s boreal forest under half-century of combined warming and CO ₂ fertilization

No growth stimulation of Canada’s boreal forest under half-century of combined warming and CO ₂ fertilization

Vegetation plays an important role in mediating future water resources

Variation in Cropping Intensity in Northern China from 1982 to 2012 Based on GIMMS-NDVI Data

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A Non-Stationary 1981–2012 AVHRR NDVI3g Time Series

Cited by 1,012 publications

References 79 publications

No growth stimulation of Canada’s boreal forest under half-century of combined warming and CO 2 fertilization

No growth stimulation of Canada’s boreal forest under half-century of combined warming and CO 2 fertilization

Vegetation plays an important role in mediating future water resources

Variation in Cropping Intensity in Northern China from 1982 to 2012 Based on GIMMS-NDVI Data

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No growth stimulation of Canada’s boreal forest under half-century of combined warming and CO ₂ fertilization

No growth stimulation of Canada’s boreal forest under half-century of combined warming and CO ₂ fertilization