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To obtain accurate spatial distribution maps of soil organic carbon (SOC) and total nitrogen (TN) in the Hetian Town in Fujian Province, China, soil samples from three depths (0-20, 20-40, and 40-60 cm) at 59 sampling sites were sampled by using traditional analysis and geostatistical approach. The SOC and TN ranged from 2.26 to 47.54 g kg -1 , and from 0.28 to 2.71 g kg -1 , respectively. The coefficient of variation for SOC and TN was moderate at 49.02-55.87% for all depths. According to the nuggetto-sill ratio values, a moderate spatial dependence of SOC content and a strong spatial dependence of TN content were found in different soil depths, demonstrating that SOC content was affected by both extrinsic and intrinsic factors while TN content was mainly influenced by intrinsic factors. Indices of cross-validation, such as mean error, mean standardized error, were close to zero, indicating that ordinary kriging interpolation is a reliable method to predict the spatial distribution of SOC and TN in different soil depths. Interpolation using ordinary kriging indicated the spatial pattern of SOC and TN were characterized by higher in the periphery and lower in the middle. To improve the accuracy of spatial interpolation for soil properties, it is necessary and important to incorporate a probabilistic and machine learning methods in the future study.

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Bamboo is one of the fastest growing plants on the planet, with many attributes which make it a useful potential resource for humankind. Though having fast growth and good regeneration performance after harvesting is a unique characteristic of the specie. It enhances a high carbon storage potential particularly when the harvested culms are transformed into durable products. China has many bamboo species with distribution and area coverage's, and highly connected in using the production of bamboo resources. Its characteristics make it an ideal solution for the environmental and social consequences of tropical deforestation. This review paper aims to assess the contribution of bamboo in mitigating and adapting impacts of climate change and its importance regarding ecological and socio-economic benefits. The review summarised the role of bamboo forests towards mitigating and adapting its potential to overcome the impacts of climate change currently seen globally and particularly to China. Therefore, advancing bamboo farming systems at different levels, it's advantages to reduce greenhouse gas in the atmosphere and expanding bamboo forests in future under wider use and intensive management is recommended.

Background: High-speed urbanization has brought about a number of ecological and environmental problems, as well as the use of remote sensing to monitor the urban ecological environment and explore the main factors affecting its changes. It is important to promote the sustainable development of cities. Methods: In this study, we quantify the ecological quality of the study area from 2000 to 2020 based on the remote sensing ecological index (RSEI) and analyze its drivers through Geodetector and geographically weighted regression. Results: The RSEI of Fuzhou City from 2000 to 2020 showed an increasing followed by a decreasing trend, with obvious spatial autocorrelation. The main driving factors causing the spatial divergence of the RSEI were elevation (q = 0.48–0.63), slope (0.42–0.59), and GDP (0.3–0.42), and the driving effect and range of each factor changed with time. Conclusion: In this paper, we explore changes in the ecological environment in Fuzhou City over the past 20 years, as well as the scope and magnitude of the drivers, providing an important reference basis to improve the ecological environment quality of the city.

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