Modeling carbon uptake by vegetation of grassland ecosystems and its associated factors in China based on remote sensing

Li, Xuejie; Li, Ruren; Sha, Zongyao

doi:10.3389/feart.2022.1077885

Cited by 2 publications

(1 citation statement)

References 36 publications

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“…Low hilly areas cover about 28% of China with an elevation of 200-500 m (Li et al, 2023;Xiao et al, 2023). This landform is characterized as a species reservoir of plants and invertebrates (Chen and Cao, 2014), with the main ecological functions of conserving water resources and preventing soil erosion (Chen et al, 2007(Chen et al, , 2019.…”

Section: Introductionmentioning

confidence: 99%

Tree growth as an effect indicator of silvopastoral systems in the low hilly area of western Henan province, China

Liu,

Cheng,

Wang

et al. 2023

Front. For. Glob. Change

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The low hilly area is a major landform in the west of Henan province, China, and it is suffering soil and water loss because of human activities. The silvopastoral system that combines trees and grasses has been widely used to restore this fragile area. We conducted in situ field experiments in 2011 in the low hilly area of Henan province involving pure forests of Populus simonii (PS; Salicaceae), Platycladus orientalis (PO; Cupressaceae), Quercusvariabilis (QV; Fagaceae), and Robinia pseudoacacia (RP; Fabaceae), and also with each forest tree species being combined with Medicago sativa (MS; Fabaceae) as silvopastoral systems, i.e., PS-MS, PO-MS, QV-MS, and RP-MS, respectively. We recorded tree diameter at breast height (DBH) and tree height (TH) in the years 2014–2016, 2018, 2020, and 2022 for all the different vegetation types. Tree biomass load (TBL, i.e., tree biomass per unit area) was estimated based on DBH and TH using allometric equations for each tree species. Generally, the results showed that the DBH, TH, and TBL were promoted in the silvopastoral systems PS-MS, PO-MS, and QV-MS. Specially, the DBH and TBL of PS-MS and PO-MS tended to be higher and were significantly higher than the pure forests of PS and MS, respectively, in 2014–2016; the silvopastoral systems were not significantly different from the pure forests for DBH in 2018 and 2022, and for TBL in 2018 and 2020. TH was lower in PS-MS and PO-MS than that in PS and PO in 2014–2016, while there was no difference of TH between PS-MS and PS in 2018 and 2022, and TH was higher in PO-MS than that in PO in 2018, 2020 and 2022. The DBH, TH, and TBL were all higher in QV-MS than QV. The TBL in RP-MS was non-significant or lower compared to that in RP. Moreover, TBL tended to be lower in upslope positions than downslope in the pure forests, while there was no difference in most silvopastoral systems. In summary, PS and PO may be suggested as the tree species selection in vegetation restoration processes for about five years, QV may be a better alternative for a long term, while RP is not recommended.

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Section: Introductionmentioning

confidence: 99%

Tree growth as an effect indicator of silvopastoral systems in the low hilly area of western Henan province, China

Liu,

Cheng,

Wang

et al. 2023

Front. For. Glob. Change

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Spatial and Temporal Patterns and Drivers of Grassland NEP in the Muri Region, 2000 to 2022

Meng,

Wang,

Yin

et al. 2024

Air, Soil and Water Research

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The Muri region of Qinghai Province is not only the source of important water sources, but also one of the key areas targeted by the ecological environment restoration project. The study of the Net ecosystem productivity (NEP) of grassland in the Muri region is of great importance in order to gain insight into the health of grassland ecosystems and to assess the carbon sink capacity. In this study, the net primary productivity (NPP) and NEP of the grassland in the Muri region from 2000 to 2022 were calculated using remote sensing data, meteorological data and land cover data, coupled with Carnegie-Ames-Stanford Approach (CASA) model and soil heterotrophic respiration model. The spatial and temporal patterns of NEP of grassland ecosystems over different periods from 2000 to 2022 were assessed following accuracy tests. The drivers affecting the spatial and temporal changes in NEP of grasslands in the Muri region were then explored with the help of Geogdetector. The study indicated that: (1) From 2000 to 2022, the mean annual NEP of grassland in the Muri region was 138.23 gC/m², exhibiting a significant increasing trend ( p < 0.01). (2) Spatially, the NEP of grassland showed a pattern of distribution from south-east to north-west, from the center to either side and from high to low values, with 91.58% of grassland showing an increasing trend in all growth periods. (3) Climatic factors, altitude and slope are important drivers of changes in the NEP of grassland, with altitude being the most important factor influencing the NEP of grassland in this region. This study can provide valuable references for assessing the carbon sequestration capacity of grassland ecosystems and monitoring the health of grassland ecosystems in the Muri region, as well as for formulating future ecological protection policies and directions in the Muri region.

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Modeling carbon uptake by vegetation of grassland ecosystems and its associated factors in China based on remote sensing

Cited by 2 publications

References 36 publications

Tree growth as an effect indicator of silvopastoral systems in the low hilly area of western Henan province, China

Tree growth as an effect indicator of silvopastoral systems in the low hilly area of western Henan province, China

Spatial and Temporal Patterns and Drivers of Grassland NEP in the Muri Region, 2000 to 2022

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