Spatial Patterns of Net Primary Productivity of Crops in China

Yihong, 王轶虹 WANG; Meiyan, 王美艳 WANG; Xuezheng, 史学正 SHI; Long, 陈龙 Chen; Yongcun, 赵永存 ZHAO; Dongsheng, 于东升 YU

doi:10.5846/stxb201411252346

Cited by 2 publications

(1 citation statement)

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“…Although this study has the limitation that there is no ground truth data on the NPP and NEP for validation. This experiment compared the NPP estimates with the MOD17A3H product and referred to the results of other scholars' studies [41][42][43] on crop productivity estimates, which were in a reasonably similar range of values for both the NPP and NEP of crops in this study. From the experimental results, it can be seen that there are differences in the numerical and spatial distribution of the NPP annual means between the MOD17A3H and CASA models.…”

Section: Performance Evaluationmentioning

confidence: 65%

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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Section: Performance Evaluationmentioning

confidence: 65%

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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Dynamics of carbon budget and meteorological factors of a typical maize ecosystem in Songnen Plain, China

GAO,

WANG,

JIANG

et al. 2023

Span. j. agric. res.

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Aim of study: Understanding the carbon budget and meteorological factor impacts of farmland ecosystems is helpful for scientific assessment of carbon budget and low-carbon agricultural production practices. Area of study: The Songnen Plain, NE China, in 2019. Material and methods: Based on eddy-related flux and soil heterotrophic respiration observations from a typical maize farmland ecosystem, using mathematical statistics and carbon balance equation methods, were analyzed. Main results: Soil respiration rate (Rs) and composition were influenced and controlled by the synergistic effect of surface soil temperature (Ts) and water content (Wcs). Ts played a leading role, while Wcs played an important role. Ts and Wcs had the greatest influence on the heterotrophic respiration rate (Rh), followed by Rs and autotrophic respiration rate (Ra). Daily variations of net ecosystem productivity were correlated with daily mean air temperature, latent heat flux, and sensible heat flux. Annual carbon revenue was 1139.67 g C m-2, annual carbon expenditure was 456.14 g C m-2, and annual carbon budget was -683.53 g C m-2 in 2019. While considering that maize grain yield (-353.44 g C m-2) was moved out of the field at harvest, the net ecosystem carbon balance was -330.09 g C m-2; then it was carbon sink in 2019. By fully utilizing climate resources and improving agricultural managements, carbon sink is increased in farmland ecosystems. Research highlights: Soil respiration rate and composition were influenced and controlled by the synergistic effect of soil temperature and water content; the maize farmland ecosystem is carbon sink.

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Spatial Patterns of Net Primary Productivity of Crops in China

Cited by 2 publications

References 0 publications

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

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

Dynamics of carbon budget and meteorological factors of a typical maize ecosystem in Songnen Plain, China

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