Estimating aboveground net primary productivity of reforested trees in an urban landscape using biophysical variables and remotely sensed data

Mngadi, Mthembeni; Odindi, John; Mutanga, Onisimo; Sibanda, Mbulisi

doi:10.1016/j.scitotenv.2021.149958

Cited by 18 publications

(9 citation statements)

References 42 publications

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“…Marshes are the main type of wetland and marsh vegetation plays an important role in carbon sequestration in marsh ecosystems (Yuan & Yuan, 2017). Net primary productivity (NPP) is an important indicator of carbon sequestration capacity (Nayak et al., 2010; Pachavo & Murwira, 2014; Reyer et al., 2014) and is widely used to understand carbon storage in marsh ecosystems (Alongi, 2020; Mngadi et al., 2022; Zhang et al., 2014). Studies have shown that climate variation can change vegetation coverage, growth conditions, and growing season duration (Goodwin et al., 2021; H. Liu et al., 2018; Lu et al., 2019; Sun et al., 2021; Shen, Liu, Henderson, et al., 2022; Shen, Liu, Liu, et al., 2022; Yang et al., 2021; Zarei et al., 2021).…”

Section: Introductionmentioning

confidence: 99%

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confidence: 99%

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Asymmetric Impacts of Diurnal Warming on Vegetation Carbon Sequestration of Marshes in the Qinghai Tibet Plateau

Shen

Liu

Zhang

et al. 2022

Global Biogeochemical Cycles

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Wetlands are one of the three major ecosystems in the world. Wetlands account for only 4%-6% of the global area , but the wetland's carbon reserves account for 12%-24% of the total terrestrial carbon reserves in the world (Shukla et al., 2019). Marshes are the main type of wetland and marsh vegetation plays an important role in carbon sequestration in marsh ecosystems (Yuan & Yuan, 2017). Net primary productivity (NPP) is an important indicator of carbon sequestration capacity (Nayak et al., 2010;Pachavo & Murwira, 2014;Reyer et al., 2014) and is widely used to understand carbon storage in marsh ecosystems (Alongi, 2020;Mngadi et al., 2022;Zhang et al., 2014). Studies have shown that climate variation can change vegetation coverage,

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Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

Asymmetric Impacts of Diurnal Warming on Vegetation Carbon Sequestration of Marshes in the Qinghai Tibet Plateau

Shen

Liu

Zhang

et al. 2022

Global Biogeochemical Cycles

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“…Soil water content and soil salinity were modeled separately using vegetation index as the independent variable and observed soil properties as the dependent variable (Wu et al, 2021a). The optimal model was determined based on the higher coefficient of determination (R 2 ) and lower root mean square error (RMSE) of the regression equation (Madonsela et al, 2018;Mngadi et al, 2022).…”

Section: Regression Analysismentioning

confidence: 99%

Spatiotemporal dynamics of soil water-salt and its topographic gradient effects on Alpine area over the Northeastern Tibetan Plateau, China

Zhang

Nian

Adingo

et al. 2022

Front. Environ. Sci.

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Soil water–salt variations at different spatiotemporal scales and their influencing factors are essential for regional vegetation restoration and management. However, the study of soil water–salt of the alpine area has not taken into account the effect of topography, especially in the long time series. This work investigated the spatiotemporal characteristics of water and salt in topsoil from 2000 to 2021, using regression analysis of on-site data and MODIS products. The heterogeneity and trends of soil water–salt in various topographic factors (elevation, slope, and aspect) were also explored by selecting the maximum area of each gradient factor as the constrained condition with the help of ArcGIS software. The results revealed that 1) the models applied to SWC (soil water content), EC (electrical conductivity), and pH utilizing vegetation indices were suitable for estimating the spatiotemporal variations of soil water–salt. 2) Soil water–salt exhibited local aggregation characteristics with an upward trend in SWC and a downward trend in EC and pH as a whole. 3) Mean annual SWC peaked at 3,400–3,800 m with increasing elevation and trended downward with increasing slope. The aspect of mean annual SWC was characterized by lower values in the southwest and south and higher values in the north, while the results for pH were reversed. The slope had a greater influence on EC than on SWC and pH. 4) The trend change of SWC, EC, and pH fluctuated at 2000–2,400 m and >4,600 m with a clear inflection point at 4°–8° and 20°–24°, respectively. In summary, the effects of topography responded to the distribution and trends of soil water–salt. The results have significant implications for implementing ecological improvements in regions with complicated topography and can serve as a reference for formulating future ecological policies.

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“…Among these methods, the Carnegie-Ames-Stanford Approach (CASA) model, which is a simple light energy utilization model that uses remotely sensed normalized difference vegetation index (NDVI) and meteorological data as input variables, has been widely used. Many studies have been carried out on the spatial and temporal variations of NPP based on remote sensing datasets ( Bradford et al., 2005 ; Chirici et al., 2007 ; Pachavo and Murwira, 2014 ; Ji et al., 2021 ; Xue et al., 2021 ; Mngadi et al., 2022 ). NPP can well quantify the carbon absorption by plants; while NEP can depict both the carbon absorption by plants and carbon release by soils.…”

Section: Introductionmentioning

confidence: 99%

Spatial and temporal variations of net ecosystem productivity in Xinjiang Autonomous Region, China based on remote sensing

Chen

Sun

et al. 2023

Front. Plant Sci.

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Net ecosystem productivity (NEP), which plays a key role in the carbon cycle, is an important indicator of the ecosystem's carbon budget. In this paper, the spatial and temporal variations of NEP over Xinjiang Autonomous Region, China from 2001 to 2020 were studied based on remote sensing and climate re-analysis data. The modified Carnegie Ames Stanford Approach (CASA) model was employed to estimate net primary productivity (NPP), and the soil heterotrophic respiration model was used to calculate soil heterotrophic respiration. Then NEP was obtained by calculating the difference between NPP and heterotrophic respiration. The annual mean NEP of the study area was high in the east and low in the west, high in the north and low in the south. The 20-year mean vegetation NEP of the study area is 128.54 gC·m-2, indicating that the study area is a carbon sink on the whole. From 2001 to 2020, the annual mean vegetation NEP ranged between 93.12 and 158.05 gC·m-2, and exhibited an increasing trend in general. 71.46% of the vegetation area showed increasing trends of NEP. NEP exhibited a positive relationship with precipitation and a negative relationship with air temperature, and the correlation with air temperature was more significant. The work reveals the spatio-temporal dynamics of NEP in Xinjiang Autonomous Region and can provide a valuable reference for assessing regional carbon sequestration capacity.

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Estimating aboveground net primary productivity of reforested trees in an urban landscape using biophysical variables and remotely sensed data

Cited by 18 publications

References 42 publications

Asymmetric Impacts of Diurnal Warming on Vegetation Carbon Sequestration of Marshes in the Qinghai Tibet Plateau

Asymmetric Impacts of Diurnal Warming on Vegetation Carbon Sequestration of Marshes in the Qinghai Tibet Plateau

Spatiotemporal dynamics of soil water-salt and its topographic gradient effects on Alpine area over the Northeastern Tibetan Plateau, China

Spatial and temporal variations of net ecosystem productivity in Xinjiang Autonomous Region, China based on remote sensing

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