Approaches of climate factors affecting the spatial variation of annual gross primary productivity among terrestrial ecosystems in China

Zhu, Xianjin; Yu, Guirui; Wang, Qiufeng; Gao, Yiwen; He, Honglin; Zheng, Han; Chen, Zhi; Shi, Peili; Zhao, Liang; Li, Yingnian; Wang, Yanfen; Zhang, Yiping; Yan, Junhua; Wang, Huimin; Zhao, Fenghua; Zhang, Junhui

doi:10.1016/j.ecolind.2015.11.028

Cited by 20 publications

(11 citation statements)

References 54 publications

(51 reference statements)

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“…Photosynthesis is a key component of process-based terrestrial biosphere models (TBMs) (Dietze & Moorcroft, 2011) and accounts for 90% of water and carbon fluxes between the atmosphere and the biosphere (Joiner et al, 2011;Zhu et al, 2016). TBMs represent the most sophisticated and accurate means of predicting ecosystem carbon fluxes and usually include the Farquhar-von Caemmerer-Berry model (FvCB) kinetic enzyme model to simulate photosynthetic rates (Farquhar et al, 1980).…”

Section: Introductionmentioning

confidence: 99%

Estimation of Leaf Photosynthetic Capacity From Leaf Chlorophyll Content and Leaf Age in a Subtropical Evergreen Coniferous Plantation

Wang

et al. 2020

JGR Biogeosciences

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Photosynthetic rate is a key source of uncertainty in the modeling of the terrestrial carbon cycle. Recent studies have utilized leaf chlorophyll content (Chl) as a proxy for leaf photosynthetic capacity in croplands and deciduous forests, with little investigation into this relationship for other plant function types and for different leaf ages. In this study, we evaluated the relationship between the maximum rate of carboxylation (Vcmax25) and the maximum electron transport capacity (Jcmax25) at 25 °C with both leaf nitrogen and Chl from different leaf ages (current and previous year) in Masson's pine (Pinus massoniana Lamb.) and slash pine (Pinus elliottii Engelm.) species in a subtropical evergreen coniferous forest. Our results showed small changes in leaf nitrogen over the growing season. In contrast, Vcmax25, Jmax25, and Chl displayed larger seasonal variations. Vcmax25 was more related to leaf Chl than leaf nitrogen in both previous year's and current year's leaves, likely due to the variable partitioning of leaf nitrogen between and within photosynthetic and nonphotosynthetic fractions. Leaf Chl and month after budding (MAB) were the main predictors for Vcmax25 based on the random forest regression analysis. These findings highlighted the problem in using leaf nitrogen as a proxy for Vcmax25 where there is a dynamic nitrogen investment (i.e., with leaf ontogenesis, or between different species) and illustrated the value of using leaf Chl (as retrievable from remotely sensing) and MAB to constrain Vcmax25 in process‐based models to improve the simulation of photosynthetic rates in evergreen coniferous forests.

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Section: Introductionmentioning

confidence: 99%

Estimation of Leaf Photosynthetic Capacity From Leaf Chlorophyll Content and Leaf Age in a Subtropical Evergreen Coniferous Plantation

Wang

et al. 2020

JGR Biogeosciences

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“…First, the spatial variations of model parameters in generating GPP were not clearly considered. For example, the light use efficiency model used the fixed parameters in each vegetation type 19 , while the parameters substantially varied within each vegetation type 20 , 21 . Second, the used GPP had a poor capacity in sequestrating the inter-annual variation of GPP 22 , 23 , which was also true for other models.…”

Section: Discussionmentioning

confidence: 99%

“…4 ). Annual mean air temperature (MAT) and annual precipitation (MAP), which dominated the spatial variation of GPP 21 , 26 , 32 , 33 , showed decreasing trends from south to the north (Fig. 4b ) and from east to the west (Fig.…”

Section: Discussionmentioning

confidence: 99%

Assessing the regional carbon sink with its forming processes- a case study of Liaoning province, China

Zhu

Zhang

Gao

et al. 2018

Sci Rep

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Assessing the regional carbon sink sets the basis of regional carbon management, which involves many measures but has large uncertainties. Carbon sink assessment scheme based on its forming processes (CSF) is a recently proposed measure but repeatly calculates emission from water erosion and ignored human inducing carbon inputs. Therefore, we revised the CSF by calculating the direct outputs from land surface and adding human returned carbon (HC) to the input. The revised CSF thus involved gross primary productivity (GPP), ecosystem respiration (ER), carbon removal from cropland (CRC), emission from reactive carbon (ERC), emission from water erosion (Ewat), and HC, which can be obtained from public data sources. Then the revised CSF was applied to the Liaoning province of China. The estimated carbon input of Liaoning province during 2000–2014 was 114.77 ± 8.41 TgC yr−1, while the carbon output was 110.48 ± 8.38 TgC yr−1. The difference between input and output induced a carbon sink of 4.30 ± 2.20 TgC yr−1, accounting for 3.75% of total carbon input. The carbon sink spatially decreased from northeast to southwest, which was highly correlated with that of GPP. However, though its forming fluxes significantly increased from 2000 to 2014, the carbon sink showed a decreasing trend. In addition, the revised scheme only needed published and public data, which made it serve as an alternative approach for regional carbon budget assessment.

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“…4), as also suggested by Chen et al (2013) and Gao et al (2016). However, under long-term constant warming and without considering other meteorological factors, the alpine grassland biomass will probably decrease (Zhu et al, 2016). This may be due to the higher temperature increasing evaporation in the study area, thereby overcoming the benefits of increased precipitation .…”

Section: Effects Of Climate Change On Biomass and Socmentioning

confidence: 90%

Modeling impacts of climate change and grazing effects on plant biomass and soil organic carbon in the Qinghai–Tibetan grasslands

Zhang

et al. 2017

Biogeosciences

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Abstract. The Qinghai Province supports over 40 % of the human population of the Qinghai-Tibetan Plateau (QTP) but occupies about 29 % of its land area, and thus it plays an important role in the plateau. The dominant land cover is grassland, which has been severely degraded over the last decade due to a combination of increased human activities and climate change. Numerous studies indicate that the plateau is sensitive to recent global climate change, but the drivers and consequences of grassland ecosystem change are controversial, especially the effects of climate change and grazing patterns on the grassland biomass and soil organic carbon (SOC) storage in this region. In this study, we used the DeNitrification-DeComposition (DNDC) model and two climate change scenarios (representative concentration pathways: RCP4.5 and RCP8.5) to understand how the grassland biomass and SOC pools might respond to different grazing intensities under future climate change scenarios. More than 1400 grassland biomass sampling points and 46 SOC points were used to validate the simulated results. The simulated above-ground biomass and SOC concentrations were in good agreement with the measured data (R 2 0.71 and 0.73 for above-ground biomass and SOC, respectively). The results showed that climate change may be the major factor that leads to fluctuations in the grassland biomass and SOC, and it explained 26.4 and 47.7 % of biomass and SOC variation, respectively. Meanwhile, the grazing intensity explained 6.4 and 2.3 % variation in biomass and SOC, respectively. The project average biomass and SOC between 2015 and 2044 was significantly smaller than past 30 years , and it was 191.17 g C m −2 , 63.44 g C kg −1 and 183.62 g C m −2 , 63.37 g C kg −1 for biomass and SOC under RCP4.5 and RCP8.5, respectively. The RCP8.5 showed the more negative effect on the biomass and SOC compared with RCP4.5. Grazing intensity had a negative relationship with biomass and positive relationship with SOC. Compared with the baseline, the biomass and SOC changed by 12.56 and −0.19 % for G 0 , 7.23 and 0.23 for G −50 , and −5.17 and 1.19 % for G +50 . In the future, more human activity and management practices should be coupled into the model simulation.

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Approaches of climate factors affecting the spatial variation of annual gross primary productivity among terrestrial ecosystems in China

Cited by 20 publications

References 54 publications

Estimation of Leaf Photosynthetic Capacity From Leaf Chlorophyll Content and Leaf Age in a Subtropical Evergreen Coniferous Plantation

Estimation of Leaf Photosynthetic Capacity From Leaf Chlorophyll Content and Leaf Age in a Subtropical Evergreen Coniferous Plantation

Assessing the regional carbon sink with its forming processes- a case study of Liaoning province, China

Modeling impacts of climate change and grazing effects on plant biomass and soil organic carbon in the Qinghai–Tibetan grasslands

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