earth_science papers | Gist.Science

Driven geospatial artificial intelligence modeling for climate change impact assessment: a global perspective

This study provides a comprehensive scientometric and systematic review of Geospatial Artificial Intelligence (GeoAI) applications in climate change impact assessment, analyzing current methodological advancements, identifying critical challenges such as data limitations and model interpretability, and proposing a strategic research agenda for developing scalable and equitable GeoAI systems.

Francis Quayson, Ishmael Yaw Dadson2026-06-26

📄 earth_science

Segregated by Risk: Caste-Based Exposure and the Feminization of Flood Vulnerability in Gopalganj District of Bihar, India

This study reveals that in Gopalganj, Bihar, the caste system systematically confines Scheduled Castes and Tribes to high-risk flood zones, where male out-migration has further intensified vulnerability by leaving behind a disproportionately female population to face ecological hazards.

Ajit Prasad, Suchitra Sudhakar Pardeshi2026-06-26

📄 earth_science

Climate change scenarios reveal inselbergs as refugia for endemic plant species in Northeastern Brazil

This study demonstrates that inselbergs on the Borborema Plateau have served as historical refugia for endemic plant species through past climatic oscillations but face significant future habitat contraction under climate change, underscoring the urgent need for conservation strategies to protect these specialized lineages.

Antônia Larissa Maia, Joilson Viana Alves, Clarisse Palma-Silva, Rafael Louzada2026-06-26

📄 earth_science

Determination of the metal uptake and sorption mechanisms in the tissues of Faxonius limosus (Rafinesque, 1817) (Decapoda: Cambaridae) found in Danube river basin of Serbia

This study demonstrates that the invasive crayfish *Faxonius limosus* in the Serbian Danube accumulates significant levels of toxic metals (Cd, As, Pb, and Hg) in its tissues, highlighting its dual role as a bioindicator of sediment pollution and a potential vector for food chain risks.

Rajko Roljić, Suzana Gotovac-Atlagić, Smiljana Paraš, Vesna Đikanović, Katarina Zorić, Vanja Marković, Predrag Ilić, Ste (…)2026-06-26

📄 earth_science

Temporal evaluation of statistical and machine-learning models for forecasting wildfire carbon emissions in the Canadian boreal forest

This study demonstrates that a temporally validated framework using Extreme Gradient Boosting outperforms baseline and other statistical models in forecasting monthly wildfire carbon emissions across the Canadian boreal forest, achieving high predictive skill even during extreme fire seasons like 2023.

Saba Asadolah¹, Peter L. Jackson¹2026-06-26

📄 earth_science

Delineation of Groundwater Potential Zones (GWPZs) using remote sensing (RS), geographic information systems (GIS), and Analytic Hierarchy Process (AHP): a Case Study from Selekleka River Catchment, Tigray, Northern Ethiopia

This study demonstrates that integrating remote sensing, GIS, and the Analytic Hierarchy Process is an effective method for delineating groundwater potential zones in the Selekleka River Catchment, Tigray, revealing that approximately 41.6% of the area possesses good to very good potential, a finding validated by the concentration of existing wells in these zones.

Gizachew Beyene, Ermias Hagos, Freweini Mekonen, Fithawi Berhe, Yosef Yohannes2026-06-26

📄 earth_science

Contributions of Water Surface Area and Evaporation Intensity to Long- Term Reservoir Evaporation Loss Changes Across China

This study analyzes 36 years of data from over 3,000 Chinese reservoirs to reveal that while reservoir evaporation losses are increasing, atmospheric evaporation intensity contributes more to these changes than surface area expansion, highlighting the need for management strategies that address both factors.

Shun Ma, Chao Liu, Huaili Liu2026-06-26

📄 earth_science

Integrating Lichen Community Structure and Lead (Pb) Bioaccumulation to Assess Atmospheric Pollution Across Anthropogenic Landscape in Sleman, Indonesia

This study demonstrates that integrating epiphytic lichen community structure and lead bioaccumulation provides a robust, low-cost method for assessing atmospheric pollution in Sleman, Indonesia, revealing that traffic pressure and host tree architecture significantly shape lichen diversity while specific species serve as effective indicators of high lead contamination in tropical urban environments.

Wahida Aulia Rahma, Andhika Puspito Nugroho2026-06-26

📄 earth_science

Evolution of Spatial Heterogeneity and Convergence of Social-Ecological System Resilience in the Alpine Grasslands of the Qinghai-Tibetan Plateau

Using panel data from 2000 to 2024 across 21 prefecture-level units, this study reveals that the social-ecological system resilience in the Qinghai-Tibetan Plateau's alpine grasslands is evolving toward reduced polarization and significant convergence through spatial diffusion and a catch-up effect, driven by inter-regional differences and core city influences, thereby necessitating differentiated policies and enhanced cross-regional governance for balanced development.

Tianlong Guo, Ling Zhao, Yin Tang2026-06-26

📄 earth_science

Impacts of climate change on the distribution of Critically Endangered Saurauia punduana in Northeast India

This study utilizes ensemble machine learning models to predict that under future climate scenarios (specifically SSP5-8.5 by 2060), the suitable habitat for the Critically Endangered tree *Saurauia punduana* in Northeast India will drastically shrink to just 2.88% of the region, providing critical data to guide its conservation and rehabilitation efforts.

Puranjoy Mipun, Kuladip Sarma, Jintu Sarma, Deiji Narah, Baby Doley, Bijay Singh Mipun2026-06-26

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