Spatiotemporal variation in sensitivity of urban vegetation growth and greenness to vegetation water content: Evidence from Chinese megacities

Dong, Guannan; Chen, Shaohui; Liu, Kai; Wang, Weimin; Hou, Haoran; Gao, Long; Zhang, Furong; Su, Hongbo

doi:10.1016/j.scitotenv.2023.167090

Cited by 6 publications

(1 citation statement)

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“…The daily LWSIs, which indirectly represents the combined effects of soil factors on vegetation growth, were used to calculate WSF, maintaining consistency in temporal dynamics and spatial resolution with LAI. As an important factor influencing the stomatal conductance and photosynthesis of vegetation, LSWI-based WSF had been introduced in most ecosystem models for vegetation productivity modelling at regional or global scales [66][67][68]. Meanwhile, the input of high-resolution LAI with accurate simulation (Figures A1 and A2) visually expressed the dynamic effects of climatic conditions on vegetation growth, reducing the model's reliance on climatic data [69,70].…”

Section: Response Of Npp To Land Use Changementioning

confidence: 99%

Quantitative Assessment of Factors Influencing the Spatiotemporal Variation in Carbon Dioxide Fluxes Simulated by Multi-Source Remote Sensing Data in Tropical Vegetation

Xu,

Zhang,

Wang

et al. 2023

Remote Sensing

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Vegetation plays a vital role in the global carbon cycle, a function of particular significance in regulating carbon dioxide fluxes within tropical ecosystems. Therefore, it is crucial to enhance the precision of carbon dioxide flux estimates for tropical vegetation and to explore the determinants influencing carbon sequestration. In this study, Landsat series images and Sentinel-2 Multispectral Instrument satellite data were used to invert vegetation biophysical parameters, thereby improving the timeliness and resolution of state variables from the boreal ecosystem productivity simulator (BEPS). The BEPS model at a 30 m resolution was developed to accurately capture tropical vegetation carbon dioxide fluxes across Hainan Island (HN) over the preceding two decades. The impacts of climate variations and anthropogenic activities on the carbon dioxide fluxes of tropical vegetation were further quantified using quantile regression models and a land-use transfer matrix. Results indicate significant increases in both net primary productivity (NPP) and net ecosystem productivity (NEP) in HN during the period 2000–2020, by 5.81 and 4.29 g C/m2 year, respectively. Spatial trends in vegetation carbon dioxide fluxes exhibited a consistent decline from inland regions to coastal zones. Anthropogenic activities were the dominant factor in the reduced stability of coastal NPP, while the post-2005 vegetation restoration promoted the southward expansion of high NPP (>1200 g C/m2) in the central part of HN. NPP in this tropical island was more sensitive to temperature than to precipitation, with a 1 °C temperature increase resulting in 4.1 g C/m2 reduction in dry-season NPP compared to wet-season NPP. Upgrades of cropland quality and grassland restoration have improved NPP yields, and land use transfers have resulted in a 0.301 Tg C net increase in NPP. This study provides new insight into the improvement of the carbon dioxide flux model at a finer scale for tropical vegetation and highlights ecological construction as an adaptation strategy to enhance the carbon sinks of tropical vegetation under negative climate change conditions.

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