A novel multidimensional framework for bridging conservation gaps and optimizing the system of natural reserves for biodiversity: A case study of Dongying, China by Yifei Xu, Chi Li

“…Using this framework, we quantitatively explored the spatial and temporal dynamics of species dispersal and habitat quality for migratory birds in Dongying, China. …”
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Microseismic Monitoring of Energy Changes in Deep Tunnels during the TBM Tunneling of the Jinping II Hydropower Station by Duanyang Zhuang, Ke Ma, Chunan Tang, Zhengzhao Liang, Zhenwei Wang

“…A movable microseismic (MS) monitoring system was established to capture the MS events and rockbursts when the TBM excavated the headrace tunnel #1 at the Jinping II hydropower station. The spatial and temporal patterns of the energy changes in the tunnel rock masses were studied. …”
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The Value of Learning about Natural History in Biodiversity Markets. by Douglas J Bruggeman

“…I include uncertainty in habitat fragmentation effects by evaluating market transactions using five alternative dispersal models that were able to approximate observed patterns of occupancy and movement. …”
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Differential Responses of Plankton Communities to Environmental Changes in the Liuqinghe Bay Estuary by Chenshi WENG, Zhixiang LI, Yingzhe WANG, Dongsheng DING, Zhengguo CUI, Keming QU, Haiyan HU, Yuqiu WEI

“…Overall, there were significant spatial and temporal variations in plankton in Liuqinghe Bay, in which the main influences on plankton-dominant species in spring and summer were temperature and nutrient salt concentration, while the main drivers affecting plankton-dominant species in autumn were temperature, salinity, and nutrient salts, and there was a potential for red tides to occur in spring and autumn. …”
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A Hybrid Regression–Kriging–Machine Learning Framework for Imputing Missing TROPOMI NO₂ Data over Taiwan by Alyssa Valerio, Yi-Chun Chen, Chian-Yi Liu, Yi-Ying Chen, Chuan-Yao Lin

“…By integrating dynamic meteorological variables and static land cover features, the hybrid RK–ML framework enhances the spatial and temporal completeness of satellite-derived air quality datasets. …”
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Shoreline time series analysis through the Isoradiometric method: Bridging landscape evolution and coastal management by F. Caldareri, N. Parrino, L. Balsamo, G. Dardanelli, S. Todaro, A. Sulli, A. Maltese

“…The increasing availability of remotely sensed data has enhanced our ability to monitor coastal evolution, yet extracting reliable time series for long-term analysis remains a challenge. This study evaluates the effectiveness of the Isoradiometric shoreline extraction Method in producing consistent time series data across different spatial and temporal scales. …”
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A 60-year drought analysis of meteorological data in the western Po River basin by E. Mombrini, S. Tamea, A. Viglione, R. Revelli

“…The analysis is carried out over the last 60 <span class="inline-formula">years</span> using the Standardized Precipitation Index (SPI) and the Standardized Precipitation Evapotranspiration Index (SPEI) at 3- and 12-month timescales and deriving drought events at the local and regional spatial scales. By leveraging on a continuous and spatially coherent precipitation and temperature dataset, we explore the temporal and spatial variability of drought conditions and compare results obtained with different approaches.…”
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Hyperspectral and LiDAR space-borne data for assessing mountain forest volume and biomass by Rodolfo Ceriani, Sebastian Brocco, Monica Pepe, Silvio Oggioni, Giorgio Vacchiano, Renzo Motta, Roberta Berretti, Davide Ascoli, Matteo Garbarino, Donato Morresi, Francesco Bassi, Francesco Fava

“…GEDI LiDAR proved to be a necessary input for accurate SV and AGB retrieval, and GPR was the best-performing ML algorithm. The resulting spatial maps were artifact-free and successfully delineated ecological gradients and management patterns. …”
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Lower Limb Torque Prediction for Sit-To-Walk Strategies Using Long Short-Term Memory Neural Networks by Chamalka Kenneth Perera, Alpha. A. Gopalai, Darwin Gouwanda, Siti. A. Ahmad, Pei-Lee Teh

“…The hip and knee are the drivers of STW, while the network architectures were selected for recognizing temporal and spatial relationships. Performance of the LSTMs were compared and evaluated against the STW strategies to accurately generate strategy-specific and user-oriented torque. …”
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Distance, weather, and forage conditions drive timing of autumn migration in female mule deer by Colby B. Anton, Nicholas J. DeCesare, Collin J. Peterson

“…Migration presents challenges for managing ungulates when the timing of autumn migrations varies across years and migrations cross management jurisdictions. Methods We evaluated the spatial and temporal patterns of autumn migration using GPS collar data collected during 2017–2019 from 68 female mule deer (Odocoileus hemionus) that migrated seasonally within three study areas in northwest Montana. …”
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Multi-dimensional water quality indicators forecasting from IoT sensors: A tensor decomposition and multi-head self-attention mechanism. by Li Bo, Lv Junrui, Luo Xuegang

“…To overcome these limitations, we propose TGMHA (Tensor Decomposition and Gated Neural Network with Multi-Head Self-Attention), a novel hybrid model that integrates three key innovations: 1) Tensor-based Feature Extraction: We combine Standard Delay Embedding Transformation (SDET) with Tucker tensor decomposition to reconstruct raw time series into low-rank tensor representations, capturing latent spatio-temporal patterns while suppressing sensor noise. 2) Multi-Head Self-Attention for Inter-Indicator Dependencies: A multi-head self-attention mechanism explicitly models complex inter-dependencies among diverse water quality indicators (e.g., pH, dissolved oxygen, conductivity) via parallel feature subspace learning. 3) Efficient Long-Term Dependency Modeling: An encoder-decoder architecture with gated recurrent units (GRUs), optimized by adaptive rank selection, ensures efficient modeling of long-term dependencies without compromising computational performance. …”
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Differential Transcript Profiles of MHC Class Ib(Qa-1, Qa-2, and Qa-10) and Aire Genes during the Ontogeny of Thymus and Other Tissues by Breno Luiz Melo-Lima, Adriane Feijó Evangelista, Danielle Aparecida Rosa de Magalhães, Geraldo Aleixo Passos, Philippe Moreau, Eduardo Antonio Donadi

“…Aiming to characterize the transcriptional profiles of nonclassical MHC class I genes in spatial-temporal association with the Aire expression, we evaluated the gene expression of H2-Q7(Qa-2), H2-T23(Qa-1), H2-Q10(Qa-10), and Aire during fetal and postnatal development of thymus and other tissues. …”
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Carbon balance dynamic evolution and simulation coupling economic development and ecological protection: a case study of Jiangxi Province at county scale from 2000–2030 by Yuliang Deng, Min Huang, Daohong Gong, Yong Ge, Hui Lin, Daoye Zhu, Yong Chen, Orhan Altan

“…By 2030, the land use's carbon sequestration capacity is expected to increase under different scenarios, leading to a ‘middle-high, sides-low’ spatial pattern in CESB. These findings are crucial for policymakers in devising strategies for sustainable regional development.…”
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The Multi-Compartment Hg Modeling and Analysis Project (MCHgMAP): mercury modeling to support international environmental policy by A. Dastoor, H. Angot, J. Bieser, F. Brocza, F. Brocza, B. Edwards, A. Feinberg, A. Feinberg, X. Feng, X. Feng, B. Geyman, C. Gournia, Y. He, I. M. Hedgecock, I. Ilyin, J. Kirk, C.-J. Lin, C.-J. Lin, I. Lehnherr, R. Mason, D. McLagan, D. McLagan, M. Muntean, P. Rafaj, E. M. Roy, A. Ryjkov, N. E. Selin, N. E. Selin, F. De Simone, A. L. Soerensen, F. Steenhuisen, O. Travnikov, S. Wang, S. Wang, X. Wang, S. Wilson, R. Wu, Q. Wu, Q. Wu, Y. Zhang, J. Zhou, W. Zhu, S. Zolkos

“…The primary goals of the project are to facilitate detection and attribution of recent (observed) and future (projected) spatial patterns and temporal trends of global environmental Hg levels and identification of key knowledge gaps in Hg science and modeling to improve future effectiveness evaluation cycles of the MEAs. …”
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STF: A spherical transformer for versatile cortical surfaces applications by Jiale Cheng, Fenqiang Zhao, Zhengwang Wu, Xinrui Yuan, Li Wang, John H Gilmore, Weili Lin, Xin Zhang, Gang Li

“…To handle longitudinal cortical surface data, we introduce the spatiotemporal self-attention mechanism, which jointly captures spatial context and temporal developmental patterns within a single layer. …”
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Threshold responses of freshwater fish community size spectra to invasive species by Bradley Novak, Brent A. Murry, Jeff S. Wesner, Vojsava Gjoni, Caroline C. Arantes, Erin Shepta, Justin P. F. Pomeranz, James R. Junker, Kathrine Zipfel, Andrew Stump, Levi E. Solomon, Kristopher A. Maxson, Jason A. DeBoer

“…We used a community size spectra (CSS) approach to evaluate fish community size structure across temporal and spatial gradients of Silver Carp abundances. …”
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Conv1D-GRU-Self Attention: An Efficient Deep Learning Framework for Detecting Intrusions in Wireless Sensor Networks by Kenan Honore Robacky Mbongo, Kanwal Ahmed, Orken Mamyrbayev, Guanghui Wang, Fang Zuo, Ainur Akhmediyarova, Nurzhan Mukazhanov, Assem Ayapbergenova

“…This study proposes a hybrid IDS model combining one-dimensional Convolutional Neural Networks (Conv1Ds), Gated Recurrent Units (GRUs), and Self-Attention mechanisms. A Conv1D extracts spatial features from network traffic, GRU captures temporal dependencies, and Self-Attention emphasizes critical sequence components, collectively enhancing detection of subtle and complex intrusion patterns. …”
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Multichannel convolutional transformer for detecting mental disorders using electroancephalogrpahy records by Mamadou Dia, Ghazaleh Khodabandelou, Syed Muhammad Anwar, Alice Othmani

“…Before feeding the model as low-level features, the input is pre-processed using a common spatial pattern filter, a signal space projection filter, and a wavelet denoising filter. …”
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Assessment of Environmental Dynamics and Ecosystem Services of <i>Guadua amplexifolia</i> J. Presl in San Jorge River Basin, Colombia by Yiniva Camargo-Caicedo, Jorge Augusto Montoya Arango, Fredy Tovar-Bernal

“…This study (1) quantifies spatial and temporal land use/cover changes in the municipality of Montelíbano between 2002 and 2022 and (2) evaluates the ecosystem services that local communities derive from in 2002, 2012, and 2022, and they were classified in QGIS using <i>G. amplexifolia</i>. …”
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Detecting ecosystem water use efficiency responses to drought from long-term remote sensing data by Xingjiao Yu, Qi Yin, Tiantian Zhao, Kainan Chen, Long Qian, Wen’e Wang, Xiaotao Hu, Baozhong Zhang

“…Understanding the cumulative and lagged effects of drought on global ecosystem WUE is crucial for assessing and responding to hydroclimatic disturbances. However, the spatial patterns and mechanisms of drought impacts on global WUE remain unclear. …”
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