Exploring the correlation between waterbodies, green space morphology, and carbon dioxide concentration distributions in an urban waterfront green space: A …

Y Jiang, Y Sun, Y Liu, X Li - Sustainable Cities and Society, 2023 - Elsevier
Urban ecological spatial patterns affect the carbon sequestration capacity of green spaces.
High-resolution carbon concentration data simulated by Envi-met4. 4.5 were obtained in …

[HTML][HTML] How large is the difference in large-scale forest biomass estimations based on new climate-modified stand biomass models?

X He, XD Lei, LH Dong - Ecological Indicators, 2021 - Elsevier
Accurate forest carbon service accounting is essential for climate change mitigation. At
present, the knowledge about whether and how climate-sensitive stand biomass models …

[HTML][HTML] Multiple drivers of tree and soil carbon stock in the tropical forest ecosystems of Bangladesh

MSR Saimun, MR Karim, F Sultana… - Trees, Forests and …, 2021 - Elsevier
Tropical forest ecosystem act as a carbon sink and plays a vital role in climate change
mitigation. The carbon storage capacity of tropical forest ecosystems is declining gradually …

Developing machine learning models with multiple environmental data to predict stand biomass in natural coniferous-broad leaved mixed forests in Jilin Province of …

X He, X Lei, D Liu, Y Lei - Computers and Electronics in Agriculture, 2023 - Elsevier
Forest biomass is influenced by multiple environmental factors. Multi-source data on site-
specific soil, climate, and stand factors are essential for stand biomass prediction. While …

[HTML][HTML] Improving the accuracy of estimating forest carbon density using the tree species classification method

Z Pang, G Zhang, S Tan, Z Yang, X Wu - Forests, 2022 - mdpi.com
The accurate and effective estimation of forest carbon density is an essential basis for
effectively responding to climate change and achieving the goal of carbon neutrality. Aiming …

Global-scale biomass estimation based on machine learning and deep learning methods

S Talebiesfandarani, A Shamsoddini - Remote Sensing Applications …, 2022 - Elsevier
Modeling accurate aboveground biomass (AGB) is a critical aspect of remote sensing
research. Besides selecting the appropriate model from significant inputs, integrating optical …

Combining multiple feature selection methods and structural equation modelling for exploring factors affecting stand biomass of natural coniferous-broad leaved …

X He, X Lei, Q Xu, J Lan, B Wu, H Guo, W Gao… - Science of The Total …, 2024 - Elsevier
Recognition of biotic and abiotic factors affecting biomass of natural mixed forests is of great
importance for forest carbon estimation and management. When estimating stand biomass …

[HTML][HTML] Prediction of the potential geographical distribution of Betula platyphylla Suk. in China under climate change scenarios

W Geng, Y Li, D Sun, B Li, P Zhang, H Chang, T Rong… - PloS one, 2022 - journals.plos.org
Climate is a dominant factor affecting the potential geographical distribution of species.
Understanding the impact of climate change on the potential geographic distribution of …

[PDF][PDF] Are there differences in the response of natural stand and plantation biomass to changes in temperature and precipitation? A case for two-needled pines in …

UV Andreevich, SSO Reza, TI Stepanovich… - Journal of Resources …, 2020 - researching.cn
A comparative discussion of the advantages and disadvantages of natural stands and
plantations, including in terms of their productivity and stability, began from the moment of …

Patterns and drivers of the above-and below-ground carbon stock in Afromontane forest of southern Ethiopia: implications for climate change mitigation

S Ahmed, D Lemessa - Tropical Ecology, 2024 - Springer
The adaptation measures in the forestry sector are essential to mitigate climate change and
to support sustainable development. Reducing emissions through improved forest …