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Terrestrial environments

Arbuscular mycorrhizal fungi spore density and species diversity varied within plants species and between dry Afromontane forests in northwestern Ethiopia

Belay Berza Beyene, Workie Nibret Alamirew, [ ... ], Fassil Assefa Tuji

Fine-scale recovery of mite communities following local extinctions on grasslands

Veronika Gergócs-Winkler, Norbert Flórián

Integrating survival analysis and machine learning for modeling overtaking duration on rural two-lane highways

Chuanhe Shi, Shuai Fu, [ ... ], Wenchen Yang

The cooperative behavioral game of urban waste reduction network considering environmental cost-sharing

Xiaoxia Jia, Tingge Wu, Xiaoyue Hu, Weiyi Guang

Spatiotemporal analysis of urban expansion and environmental impacts in five Saudi Arabian cities by utilizing geospatial and remote sensing approach

Ahmed Ali A. Shohan, Abdulla Al Kafy, [ ... ], Abdullah Al Baky

MetaMamba: Meta-learning with mamba for few-shot vegetation species classification using UAV-based hyperspectral imagery in desert rangeland

Fei Hao, Xinchao Gao, [ ... ], Xiaoyan He

Variation in nutritional quality of Vicia sativa across climatic gradients and development of a comprehensive forage quality index

Wei Xu, Zhuxin Mao

Wild edible plants of Bhutan: Diversity, use patterns, and motivations for consumption

Tenzin Jamtsho, Tobgay, Ugyen Takchu, Phurpa Wangchuk

Disaster mechanisms and hazard assessment of rapid and steep-gully debris flows based on FLO-2D simulation

Haiwei Du, Runsen Lai, Jianhua Zhu

Altitudinal and slope gradients as key determinants of Robinia pseudoacacia growth

Yirui Shao, Liyan Hou, [ ... ], Ning Wang

Yang, forest animism, and environmental perception among the Bahnar in the Central Highlands of Vietnam

Hoài Trần, K. David Harrison, Phước Lâm Huy Trần, Sơn Thanh Khuất

Citizen science-based biodiversity monitoring in oil palm plantations

Nunik Maharani, N Nardiyono, [ ... ], Erik Meijaard

Is a (satellite) image worth a thousand data points? Comparing machine learning approaches to predict environmental and social inequalities in England

Barbara Metzler, Martin Fleischmann, Daniel Arribas-Bel

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