Changes and net ecosystem productivity of terrestrial ecosystems and their influencing factors in China from 2000 to 2019

Huang, Yutao; Wang, Fang; Zhang, Lijuan; Jun, Zhao; Zheng, Hong; Zhang, Fan; Wang, Nan; Gu, Jiakai; Zhao, Yuemin; Zhang, Wenshuai

doi:10.3389/fpls.2023.1120064

Cited by 6 publications

(3 citation statements)

References 51 publications

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“…The carbon storage of the ecosystem mainly includes four basic carbon pools: aboveground biomass, underground biomass, soil and dead organic matter. Ecosystem carbon storage is estimated as the storage of carbon currently stored in the landscape based on the average carbon density of carbon pools of different land use types multiplied by the area of each land use type in the area ( Zhou et al., 2019 ; Huang et al., 2023 ). The carbon sequestration module in the InVEST model was used to assess the spatial distribution of carbon storage in the ecosystem of study areas in this paper.…”

Section: Methodsmentioning

confidence: 99%

Evaluation of typical ecosystem services in Dabie Mountain area and its application in improving residents' well-being

et al. 2023

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Research on ecosystem services and residents’ well-being in old revolutionary base areas is an important task for China’s ecological civilization construction and rural revitalization. Taking Jinzhai County, the core area of Dabie Mountains, China, as an example, based on InVEST model, the methods of spatial autocorrelation and coupling coordinated development degree, the spatiotemporal evolution, spatial heterogeneity and coupling association patterns of ecosystem services and multidimensional well-being in the study area from 2005 to 2020 were discussed. The major results are: In the past 15 years, in the core area of the Dabie Mountains, ecosystem services such as food supply, soil retention and water yield showed an upward trend, carbon sequestration and biodiversity maintenance showed a downward trend. The comprehensive index of multidimensional well-being in the core area of Dabie Mountain increased by 27.23% and the spatial difference in multidimensional well-being is gradually narrowing. By the analysis of coupling coordination, the number of units with the type of coupling disharmony between ecosystem services and multidimensional well-being in the study area decreased significantly from 56.85% in 2005 to 26.81% in 2020, respectively. The analysis of geographical detection showed that the habitat quality factor was the dominant controlling factor of coupling coordination spatial difference. By bivariate spatial autocorrelation analysis, in the past 15 years, the number of units with the “high ecology-high well-being” synergy type increased from 5.44% to 13.31%. The results can provide a reference for accurate identification, optimal regulation and synergistic improvement between ecosystem services and relative poverty in the Dabie Mountain area.

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Section: Methodsmentioning

confidence: 99%

Evaluation of typical ecosystem services in Dabie Mountain area and its application in improving residents' well-being

et al. 2023

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“…The NEP is the difference between the net primary productivity (NPP) of vegetation and the carbon fixed by photosynthetic products consumed through heterotrophic respiration (R h ) [7]. It is a critical indicator of ecosystem carbon balance and regional estimation of vegetation carbon sources and sinks, describing how much atmospheric carbon dioxide that an ecosystem captures per unit time and representing the actual carbon capture of an ecosystem [8][9][10]. While the NEP may not align with the concept of a carbon sink on a regional scale, it is frequently employed as a gauge of sink magnitude.…”

Section: Introductionmentioning

confidence: 99%

Study of Regional Spatial and Temporal Changes of Net Ecosystem Productivity of Crops from Remotely Sensed Data

Wang,

Xue,

Yan

et al. 2024

Land

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Net ecosystem productivity (NEP) is a crucial indicator of the carbon balance and health of an ecosystem. Until now, few studies have estimated the NEP of crops and analyzed it in space and time. The study of NEP in crops is crucial for comprehending the carbon cycle of agroecosystems and determining the status of carbon sources and sinks in farmland at the regional scale. In this study, we calculated the net primary productivity (NPP) and NEP of agricultural crops in Jiangsu Province, China, from 2001 to 2022 by using remote sensing data, land cover data and meteorological data. The modified Carnegie Ames Stanford Approach (CASA) model was employed to estimate the NPP, and the soil heterotrophic respiration model was used to calculate the soil heterotrophic respiration (Rh). Then, the availability of the NPP was evaluated. On this basis, the NEP was obtained by calculating the difference between the NPP and Rh. We explored the spatial and temporal changes in the NEP of crops and analyzed the correlation between the NEP and crop cultivation activities and climatic factors under the context of agricultural production information using the NEP datasets of agricultural crops. The study indicated that (1) the NEP of crops in Jiangsu Province showed a north-to-south pattern, being higher in the north and lower in the south. Over the course of 22 years, the average NEP of the crops in Jiangsu Province stands at 163.4 gC/m2, highlighting a positive carbon sink performance. Nonetheless, up to 88.04% of the crops exhibited declining NEP trends. (2) The monthly fluctuations in the NEP of crops in Jiangsu Province exhibited a bimodal pattern, with peaks occurring during spring and summer. The changes in the NEP of the crops were significantly associated with various agricultural production activities. (3) Significant regional differences were observed in the NEP of the crop response to temperature and precipitation, both of which directly impacted the annual performance of the NEP. This study could serve as a reference for research on the carbon cycle in agriculture and the development of policies aimed at reducing emissions and enhancing carbon sinks in local farmland.

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“…Existing studies generally have a limited temporal scope, often spanning less than two decades, and predominantly focus on regional scales, which cannot capture the carbon sink changes over extended durations [19,20]. In addition, most studies have focused on the individual effects of the drivers of NEP change [21,22] and cannot reflect the interactions of different factors behind NEP change.…”

Section: Introductionmentioning

confidence: 99%

Exploring the Spatiotemporal Dynamics and Driving Factors of Net Ecosystem Productivity in China from 1982 to 2020

Chen,

Xu,

Chen

et al. 2023

Remote Sensing

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Understanding the net ecosystem productivity (NEP) is essential for understanding ecosystem functioning and the global carbon cycle. Utilizing meteorological and The Advanced Very High Resolution Radiometer (AVHRR) remote sensing data, this study employed the Carnegie–Ames–Stanford Approach (CASA) and the Geostatistical Model of Soil Respiration (GSMSR) to map a monthly vegetation NEP in China from 1982 to 2020. Then, we examined the spatiotemporal trends of NEP and identified the drivers of NEP changes using the Geodetector model. The mean NEP over the 39-year period amounted to 265.38 gC·m−2. Additionally, the average annual carbon sequestration amounted to 1.89 PgC, indicating a large carbon sink effect. From 1982 to 2020, there was a general fluctuating increasing trend observed in the annual mean NEP, exhibiting an overall average growth rate of 4.69 gC·m−2·a−1. The analysis revealed that the majority of the vegetation region in China, accounting for 93.45% of the entirety, exhibited increasing trends in NEP. According to the Geodetector analysis, precipitation change rate, solar radiation change rate, and altitude were the key driving factors in NEP change rate. Furthermore, the interaction between the precipitation change rate and altitude demonstrated the most significant effect.

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Changes and net ecosystem productivity of terrestrial ecosystems and their influencing factors in China from 2000 to 2019

Cited by 6 publications

References 51 publications

Evaluation of typical ecosystem services in Dabie Mountain area and its application in improving residents' well-being

Evaluation of typical ecosystem services in Dabie Mountain area and its application in improving residents' well-being

Study of Regional Spatial and Temporal Changes of Net Ecosystem Productivity of Crops from Remotely Sensed Data

Exploring the Spatiotemporal Dynamics and Driving Factors of Net Ecosystem Productivity in China from 1982 to 2020

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