Spatiotemporal Characteristics of Vegetation Net Primary Productivity on an Intensively-Used Estuarine Alluvial Island

Xing, Wenxiu; Chi, Yuan; Ma, Xuejian; Liu, Dahai

doi:10.3390/land10020130

Cited by 4 publications

(1 citation statement)

References 74 publications

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“…Due to many constraints, it is usually difficult to realize field measurements of NPP in large-scale areas. However, remote sensing technology has advantages such as a short time span, wide coverage, low cost, and relative stability, therefore, most researchers use the model simulation method based on remote sensing to estimate NPP on a large scale [9]. The commonly used models for NPP estimation include the climate-related statistical models (e.g., Miami [10], Thornthwaite Memorial [11], and Chikugo [12]), ecosystem process model (e.g., BIOME-BGC [13]), and light energy utilization model (e.g., CASA [14]).…”

Section: Introductionmentioning

confidence: 99%

NPP and Vegetation Carbon Sink Capacity Estimation of Urban Green Space Using the Optimized CASA Model: A Case Study of Five Chinese Cities

Wang

2023

Atmosphere

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Urban area is a major source of CO2 and other greenhouse gases. Urban green space (UGS) is an essential element to increase carbon sequestration directly and reduce emission indirectly. In this study, the net primary production (NPP) and net ecosystem productivity (NEP) was monitored in order to enhance the carbon sequestration function of UGS and promote urban low-carbon development. Based on the Sentinel-2 L2A satellite images, meteorological data, and vegetation type data in 2019, we used the optimized Carnegie Ames Stanford Approach (CASA) model to estimate the NPP values of UGS types including attached green space, park green space, protective green space, and regional space in Beijing, Guangzhou, Shanghai, Shenyang, and Xi’an. The NEP values were evaluated based on NPP and soil heterotrophic respiration (RH) to quantify the vegetation carbon sink capacity. The accuracy test shows that the estimated NPP values based on the optimized CASA model are effective. The results indicate that the average NPP values (1008.5 gC·m−2·a−1) and vegetation carbon sink capacity (771.49 gC·m−2·a−1) of UGS in Beijing rank first among the cities, which is followed by the values in Guangzhou. The regional green space and park green space in five cities function as carbon sinks with high NPP values and have vegetation carbon sink capacity, whereas the attached green space in Shanghai and Xi’an as well as the protective green space in Guangzhou and Xi’an function as carbon sources. Moreover, the NEP distribution shows obvious spatial aggregation characteristics, that is, the high NEP values of UGS are clustered in mountainous forest areas in the west and north of Beijing, Northeast Guangzhou, and South Xi’an whereas the low NEP values are mostly concentrated in the urban built-up areas under strong influences of human activities. This research provides a new method for NPP and NEP estimation of UGS at the city scale and the scientific basis for the improvement of the vegetation carbon sink capacity of UGS.

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Section: Introductionmentioning

confidence: 99%

NPP and Vegetation Carbon Sink Capacity Estimation of Urban Green Space Using the Optimized CASA Model: A Case Study of Five Chinese Cities

Wang

2023

Atmosphere

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Spatial responses of vegetation-soil system to complex factors in a sandy-rocky island chain

Chi

Gao²,

Wang³

et al. 2022

Global Ecology and Conservation

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Assessing the Impact of Land Use Changes on Net Primary Productivity in Wuhan, China

Shao

Huang³

et al. 2022

photogramm eng remote sensing

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Since 2000, major changes have taken place in Wuhan city. Land use and land cover (LULC) has changed significantly, characterized by increased construction land, reducing farmland, grassland, and forest land due to the rapid urbanization process. Taking advantage of LULC data and Moderate Resolution Imaging Spectroradiometer Net Primary Production (MODIS NPP) data from 2000 to 2020, we analyze the impact of LULC type transformation on NPP, reveal the relationship between LULC type and NPP, and quantify the impact of urban expansion on NPP by taking Wuhan, China as a study case. The results showed that: 1) the transformation from farmland and grassland to construction land was a dominant LULC change type in Wuhan during the investigated period; 2) there exists a significant negative correlation between NPP and changes in farmland, woodland, and grassland area; 3) the distance from the city center has a significant positive correlation with NPP, and the dynamics of NPP vary in different regions; 4) there is a significant positive correlation between NPP and night light data. The results of this study provide scientific references for the formation of greening construction and sustainable development strategies in Wuhan.

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Spatiotemporal Characteristics of Vegetation Net Primary Productivity on an Intensively-Used Estuarine Alluvial Island

Cited by 4 publications

References 74 publications

NPP and Vegetation Carbon Sink Capacity Estimation of Urban Green Space Using the Optimized CASA Model: A Case Study of Five Chinese Cities

NPP and Vegetation Carbon Sink Capacity Estimation of Urban Green Space Using the Optimized CASA Model: A Case Study of Five Chinese Cities

Spatial responses of vegetation-soil system to complex factors in a sandy-rocky island chain

Assessing the Impact of Land Use Changes on Net Primary Productivity in Wuhan, China

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