Vegetation structural change and CO2 fertilization more than offset gross primary production decline caused by reduced solar radiation in China

Chen, Shaoyuan; Wu, Qiaoli; Liu, Suhong; Song, Conghe; Xiao, Jingfeng; Band, Lawrence E.; Vose, James M.

doi:10.1016/j.agrformet.2020.108207

Cited by 54 publications

(40 citation statements)

References 107 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Our results showed that the vegetation in most areas of China has improved over the past several decades, which is in line with previous studies (Chen et al, 2021; Liang et al, 2015; Ma et al, 2019). Both climatic factors and human activities have contributed to China's regional greening trends (Chen et al, 2021; Li, Yu, & Liu, 2020; Wu et al, 2020), with climate change being an intrinsic controlling driver and human perturbation an external driver that can abruptly exacerbate or mitigate the effects of climate change (Zhou et al, 2014). For example, climate changes from warm‐dry to warm‐wet enhanced vegetation coverage in Northwest China when combined with positive human activities such as grazing exclusion and environmental restoration programmes (Zhou et al, 2015).…”

Section: Discussionsupporting

confidence: 93%

“…The climate in China has undoubtedly changed in the past several decades (Figure S6), and the changes have had conspicuous effects on vegetation growth (Du et al, 2019; Li, Wang, Hu, et al, 2018; Zhu et al, 2019). However, recent studies have suggested that climatic constraints on plant growth have weakened and that a possible saturation point of vegetation responses to climate change may occur in the future (Chen et al, 2021; Higginbottom & Symeonakis, 2020; Piao et al, 2019). In contrast, anthropogenic activities, including ecological programmes, grazing, and development of agricultural techniques, have played an increasingly important role in increasing vegetation coverage, growth, and recovery (Cai et al, 2015; Tong et al, 2018).…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Identifying trend shifts in vegetation greenness in China from 1982 to 2015

et al. 2022

View full text Add to dashboard Cite

Understanding vegetation evolution is critical for exploring changes in terrestrial ecosystems and identifying future challenges. However, analyses that simultaneously examine trend shifts in vegetation greenness at the national, regional, biome, and pixel scales in China are still rare. Using long‐term (1982–2015) satellite data and the breaks for additive season and trend (BFAST) technique, we identified breakpoints in normalized difference vegetation index (NDVI) in China. The results showed that the annual mean NDVI gradually increased. A total of 68.8% of the vegetated area exhibited upward trends in NDVI, most of which was distributed in Southeast China and the Loess Plateau. Changes in NDVI trends occurred in 78.7% of the total vegetated areas, while hotspots were concentrated in Northwest and North China. A rapid increase in breakpoints was detected after 1999, mainly concentrated in North and Northwest China, and corresponding to the times and areas with the highest ecological engineering efforts. Positive shifts in NDVI trends were more common and generally distributed on the eastern side of the Hu Huanyong line, while browning (negative) shifts were mainly distributed on the western side and were gradually expanding, indicating a possible tendency toward environmental degradation. Although unstable vegetation areas that underwent land cover type changes had higher frequencies of breakpoints, the proportion of stable vegetation experiencing NDVI trend shifts was higher after 2000, probably because human intervention buffered external disturbances in unstable areas. Identifying hotspot areas of shifts in vegetation greenness can help setting priorities when taking measures for ecosystem conservation, thus provide scientific reference for sustainable land development.

show abstract

Section: Discussionsupporting

confidence: 93%

Section: Discussionmentioning

confidence: 99%

Identifying trend shifts in vegetation greenness in China from 1982 to 2015

et al. 2022

View full text Add to dashboard Cite

show abstract

“…This is the possible rea However, in the middle YRB, the climate has a warming-drying trend (Figure 10b) and the temperature has a negative effect because the temperature is too high to exceed the limitation [27]. With region warming, the vapor pressure deficit could cause plants to close stomata, resulting in decreasing intercellular CO 2 concentration in the leaves and a lower photosynthesis rate [28]. Yuan et al indicated the warming-induced elevated vapor pressure deficit induced the most substantial negative effect on GPP [29].…”

Section: Impacts Of Climate On Forest Productivitymentioning

confidence: 99%

Disentangling Climatic Factors and Human Activities in Governing the Old and New Forest Productivity

Chen

Wen

et al. 2021

Remote Sensing

View full text Add to dashboard Cite

Forest ecosystem plays a vital role in the global carbon cycle and maintaining climate stability. However, how net primary productivity (NPP) dynamics of different stand ages of forest respond to climatic change and residual (being other climate factors or human activities) still remain unclear. In this study, firstly, forests are divided into two categories based on their stand age: forests appeared before appeared before the research period (Fold), and forests appeared during the research period (Fnew). Secondly, we improved a quantitative method of basic partial derivatives to disentangle the relative contributions of climatic factors, other climate factors, and human activities to the NPP of Fold and Fnew. Then, different scenarios were simulated to identify the dominant drivers for forest restoration and degradation. In this study, we hypothesized the residual of Fold was other climate factors rather than human activities. Our results revealed that from 2000 to 2019, Fold and Fnew of NPP in Yangtze River Basin showed a significant increment trend and precipitation was the major positive contributor among all of the climatic factors. We found that, in Fold, climate change and other climate factors contributed 9.77% and 28.33%, respectively, in explaining NPP. This finding unsupported our initial hypothesis and implied that residuals should be human activities for Fold. Furthermore, we found that human activities dominate either restoration or degradation of Fnew. This result may be due to the attenuated human disturbances and strengthened forest management, such as ecological policies, forest tending, closing the land for reforestation, etc. Therefore, based on disentangling the two types of factors, we concluded that human activities govern the forest change, and imply that the environment-friendly forest managements may favorite to improving the forest NPP against the impacts of climate change. Thus, effective measures and policies are suggested implement in controlling forest degradation in facing climate change.

show abstract

“…Ecosystem productivity is an important indicator for quantitatively describing the carbon sequestration capacity of an ecosystem, which mainly includes gross primary production (GPP) and net primary production (NPP) [6]. GPP refers to the amount of organic carbon fixed by photosynthesis per unit time and unit area of green plants [7,8]. It reflects the carbon sequestration ability of vegetation, and is the largest carbon flux in terrestrial ecosystems [9].…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal Evolution of the Carbon Fluxes from Bamboo Forests and their Response to Climate Change Based on a BEPS Model in China

Kang

et al. 2022

Remote Sensing

View full text Add to dashboard Cite

Carbon flux is the main basis for judging the carbon source/sink of forest ecosystems. Bamboo forests have gained much attention because of their high carbon sequestration capacity. In this study, we used a boreal ecosystem productivity simulator (BEPS) model to simulate the gross primary productivity (GPP) and net primary productivity (NPP) of bamboo forests in China during 2001–2018, and then explored the spatiotemporal evolution of the carbon fluxes and their response to climatic factors. The results showed that: (1) The simulated and observed GPP values exhibited a good correlation with the determination coefficient (R2), root mean square error (RMSE), and absolute bias (aBIAS) of 0.58, 1.43 g C m−2 day−1, and 1.21 g C m−2 day−1, respectively. (2) During 2001–2018, GPP and NPP showed fluctuating increasing trends with growth rates of 5.20 g C m−2 yr−1 and 3.88 g C m−2 yr−1, respectively. The spatial distribution characteristics of GPP and NPP were stronger in the south and east than in the north and west. Additionally, the trend slope results showed that GPP and NPP mainly increased, and approximately 30% of the area showed a significant increasing trend. (3) Our study showed that more than half of the area exhibited the fact that the influence of the average annual precipitation had positive effects on GPP and NPP, while the average annual minimum and maximum temperatures had negative effects on GPP and NPP. On a monthly scale, our study also demonstrated that the influence of precipitation on GPP and NPP was higher than that of the influence of temperature on them.

show abstract

Vegetation structural change and CO2 fertilization more than offset gross primary production decline caused by reduced solar radiation in China

Cited by 54 publications

References 107 publications

Identifying trend shifts in vegetation greenness in China from 1982 to 2015

Identifying trend shifts in vegetation greenness in China from 1982 to 2015

Disentangling Climatic Factors and Human Activities in Governing the Old and New Forest Productivity

Spatiotemporal Evolution of the Carbon Fluxes from Bamboo Forests and their Response to Climate Change Based on a BEPS Model in China

Contact Info

Product

Resources

About