Decreasing net primary production due to drought and slight decreases in solar radiation in China from 2000 to 2012

Wang, Junbang; Dong, Jinwei; Yi, Yujun; Liu, Guihua; Oyler, Jared Wesley; Smith, William K.; Zhao, Maosheng; Liu, J.; Running, Steven W.

doi:10.1002/2016jg003417

Cited by 90 publications

(71 citation statements)

References 124 publications

(195 reference statements)

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“…This finding was consistent with previous studies [10][11][12]58]. This may have been due to the climatic gradient (e.g., temperature and precipitation) from the southeast to the northwest in China, which is more favorable for vegetation growth in southern China [11,59].…”

Section: Spatiotemporal Variation Of Nppsupporting

confidence: 82%

“…In contrast, the trend in Southern China was the opposite, which may have been due to ecorestoration, forest/grassland protection, and reforestation in Northern China and the Tibetan Plateau after 2000 [29]. However, in Southern China, freezing low temperatures in early 2008, the severe drought in 2009 [31], and decreased solar radiation [12] may have all contributed to the decreasing NPP. Due to the physiological and/or local environmental conditions, the trend and turning point year among vegetation types were diverse.…”

Section: Spatiotemporal Variation Of Nppmentioning

confidence: 55%

“…Recently, many studies have been undertaken on the spatiotemporal variation of NPP and its relationship with climate factors on global and regional scales using a range of approaches from observational [2,8,9] to a suite of remote sensing based methods [10,11]. However, the NPP results were diverse in trends and magnitudes, even in the same region among models [10,12] due to different inputs. Moderate Resolution Imaging Spaectroradiometer (MODIS) annual NPP products have been…”

Section: Introductionmentioning

confidence: 99%

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Nonlinear Variations of Net Primary Productivity and Its Relationship with Climate and Vegetation Phenology, China

Yang

Zhang

Luo

et al. 2017

Forests

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Net primary productivity (NPP) is an important component of the terrestrial carbon cycle. In this study, NPP was estimated based on two models and Moderate Resolution Imaging Spaectroradiometer (MODIS) data. The spatiotemporal patterns of NPP and the correlations with climate factors and vegetation phenology were then analyzed. Our results showed that NPP derived from MODIS performed well in China. Spatially, NPP decreased from the southeast toward the northwest. Temporally, NPP showed a nonlinear increasing trend at a national scale, but the magnitude became slow after 2004. At a regional scale, NPP in Northern China and the Tibetan Plateau showed a nonlinear increasing trend, while the NPP decreased in most areas of Southern China. The decreases in NPP were more than offset by the increases. At the biome level, all vegetation types displayed an increasing trend, except for shrub and evergreen broad forests (EBF). Moreover, a turning point year occurred for all vegetation types, except for EBF. Generally, climatic factors and Length of Season were all positively correlated with the NPP, while the relationships were much more diverse at a regional level. The direct effect of solar radiation on the NPP was larger (0.31) than precipitation (0.25) and temperature (0.07). Our results indicated that China could mitigate climate warming at a regional and/or global scale to some extent during the time period of 2001-2014.

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Section: Spatiotemporal Variation Of Nppsupporting

confidence: 82%

Section: Spatiotemporal Variation Of Nppmentioning

confidence: 55%

Section: Introductionmentioning

confidence: 99%

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Nonlinear Variations of Net Primary Productivity and Its Relationship with Climate and Vegetation Phenology, China

Yang

Zhang

Luo

et al. 2017

Forests

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“…A lot of evidence is available, showing the importance and the positive effect of solar radiation on the grain yield [9,[58][59][60]. Stanhill [61] reported a globally average solar radiation reduction of 0.43 MJ/day/m 2 per decade, which was lower than the NCD average reduction.…”

Section: Effects Of Climate Factors On Regional and National Food Secmentioning

confidence: 94%

Spatio-Temporal Analysis of Meteorological Elements in the North China District of China during 1960–2015

Yang

Yin

et al. 2018

Water

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Abstract:The North China District (NCD) is one of the main grain production regions in China. The double cropping system of irrigation has been leading to the groundwater table decline at the speed of 1-2 m per year. Climate change leads to uncertainty surrounding the future of the NCD agricultural system, which will have great effects on crop yields and crop water demands. In this research, the Meteorological dataset from 54 weather station sites over the period 1960-2015 were collected to quantify the long-term spatial and temporal trends of meteorological data, including daily minimum temperature (T min ), maximum temperature (T max ), precipitation, solar radiation, reference evapotranspiration (ET 0 ), and aridity index (AI). The results show that the long-term wheat and maize growing season and annual average air temperatures (T min and T max ) showed strong north to south increasing trends throughout the NCD. The average annual precipitation was 632.9 mm across the NCD, more than 70% of which was concentrated in the maize growing season. The regional average annual ET 0 was 1026.1 mm, which was 531.2 and 497.4 mm for the wheat and maize growing season, respectively. The regional precipitation decreased from northwest to southeast in each growing season and annual timescale. The funnel areas have lower precipitation and higher ET 0 than the regional average, which may lead to the mining of the groundwater funnel area. The regional average annual AI is 0.63, which lies in the humid class. For temporal analysis, the regional average trends in annual T min , T max , solar radiation, ET 0 , precipitation, and AI were 0.37 • C/10a, 0.15 • C/10a, −0.28 MJ/day/m 2 /10a, −2.98 mm/10a, −12.04 mm/10a, and 0.005/10a, respectively. The increasing trend of temperature and the decreasing trend of solar radiation may have a negative effect on the regional food security. The funnel area AI showed a significant increasing trend for the winter wheat growing season and a decreasing trend for maize, which indicated that more irrigation will be needed for the maize growing season and the winter fallow policy may lead to the increasing trend precipitation being wasted. Analyzing the growing season and the annual meteorological elements of the spatiotemporal trends can help us better understand the influence of climate change on the natural resources and agricultural development in both the past and the future, and will provide us with invaluable information for the modification of cropping patterns to protect the regional and national water and food security.

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“…However, predicted interannual variations of GPP in China produced by different GPP models driven with different satellite‐based vegetation products and climate data have produced conflicting results (Li et al, ; Liu et al, ; Wang et al, , ; Yao et al, ). Arising from different model structures as well as satellite and meteorological driving data (Li et al, ; Liu et al, ), some of these report decreasing GPP trends in China.…”

Section: Introductionmentioning

confidence: 99%

Multi‐model analysis of climate impacts on plant photosynthesis in China during 2000–2015

Yan

Wang

et al. 2019

Intl Journal of Climatology

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Differences, arising from differences in gross primary production (GPP) model structures and driving forces, have fuelled arguments concerning interannual changes of GPP in China since 2000. To better investigate the interannual variability of GPP and its covariance with climate factors in China, this study adopted a multi‐model analysis based on three GPP models (i.e., Terrestrial Ecosystem Carbon flux model [TEC], Breathing Earth System Simulator model [BESS], and MOD17 GPP model). The results show that annual GPP in China increased by 0.021–0.057 Pg C year−1 from 2000 to 2015 attributable to atmospheric‐CO2 fertilization effects and favourable climate change, that is, increasing precipitation (Pr) and temperature (Ta). However, northern China and southern China had a large difference in the amplitude of these GPP changes; annual GPP increased by 0.017–0.039 Pg C year−1 in northern China but only 0.001–0.018 Pg C year−1 in southern China. Northern China and southern China occupy contrasting climate zones and this contrast produced different interannual variability of GPP through different mechanisms. Northern China has a dry climate with GPP changes sensitive to Pr. As a result, more Pr along with higher Ta in northern China produced the strong uptrend of GPP from 2000 to 2015. In contrast, southern China has a wet climate with its GPP sensitive to solar radiation and Ta. For the interval of 2000–2015, decreasing radiation plus drought exerted a negative influence on GPP in southern China. This study highlights the diverse mechanisms in which climate change affects GPP in dry and wet climate zones. A robust multi‐model analysis is preferred to reduce uncertainties arising from a single GPP model and its driving data.

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Decreasing net primary production due to drought and slight decreases in solar radiation in China from 2000 to 2012

Cited by 90 publications

References 124 publications

Nonlinear Variations of Net Primary Productivity and Its Relationship with Climate and Vegetation Phenology, China

Nonlinear Variations of Net Primary Productivity and Its Relationship with Climate and Vegetation Phenology, China

Spatio-Temporal Analysis of Meteorological Elements in the North China District of China during 1960–2015

Multi‐model analysis of climate impacts on plant photosynthesis in China during 2000–2015

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