earth_science papers | Gist.Science

Quantitative correlation between DNSH Criteria and LCA Indicators: methodological proposal and case studies validation in the wastewater sector

This study evaluates the environmental performance and EU Taxonomy "Do No Significant Harm" (DNSH) compliance of three Italian wastewater treatment plants using Life Cycle Assessment, revealing that flow centralization and efficiency upgrades offer the most effective strategies for reducing impacts and ensuring economic viability, whereas biodrying may increase emissions despite minor benefits.

Lorenzo Tombolini, Elisa Blumenthal, Massimiliano Sgroi, Anna Laura Eusebi, Francesco Fatone2026-07-03

📄 earth_science

SDG Indicators as the basis for monitoring city climate action

This paper develops a repository of 34 validated SDG-aligned indicators derived from 100 global city climate strategies to advocate for a dual monitoring framework that combines internationally comparable SDG metrics with locally tailored indicators, addressing current gaps in strategy comprehensiveness and the lack of science-backed benchmarks.

Ilektra Papadaki2026-07-03

📄 earth_science

Scientometric assessment of research trends in vegetation indices applied to the Cerrado

This scientometric study analyzes the evolution, collaboration networks, and thematic focus of research on vegetation indices, particularly NDVI, for environmental monitoring in the Brazilian Cerrado, revealing significant growth in output and identifying key trends to guide future conservation efforts.

Lidiane Machado Dionizio, Emilly Nogueira Alves, Isadora Lopes Pires, Jéssica Karina Mesquita Vieira, Rosivaldo Machado (…)2026-07-03

📄 earth_science

Spatiotemporal Estimation of Daily Peatland Gross Primary Production with Landsat Remote Sensing Data in Germany, Estonia and Finland

This study demonstrates that a Landsat-based random forest model, trained with eddy covariance data, can effectively estimate daily gross primary production across diverse peatland management regimes in Germany, Estonia, and Finland, thereby enabling consistent large-scale monitoring of peatland productivity under varying climate and land-use conditions.

Nur Hussain, Adrià Descals, Alisa Krasnova, Kaido Soosaar, Josep Penuelas, Ülo Mander, Parvez Rana2026-07-03

📄 earth_science

Evidence of expanding range of Culex perexiguus in Northern Italy (Emilia-Romagna, 2025)

In 2025, Emilia-Romagna, northern Italy, recorded the unexpected expansion of *Culex perexiguus*, a mosquito typically associated with arid regions and capable of transmitting West Nile virus, likely driven by climate anomalies and habitat shifts that also coincided with a decline in *Culex modestus*, thereby highlighting the need for enhanced public health monitoring.

Mattia Calzolari, Annalisa Grisendi, Mara Scremin, Gastone Dalmonte, Emanuele Callegari, Anna Beatrice Casano, Francesco (…)2026-07-03

📄 earth_science

A Multi-Species, Multi-Disease Outbreak on Norfolk Island Inshore Cor

This study documents a severe, multi-species epizootic on Norfolk Island reefs characterized by acute white syndrome causing rapid colony mortality and oocyte resorption, highlighting the urgent need to integrate disease dynamics into coral reef management strategies.

Tracy Ainsworth, Charlotte Page, Roisin Hayden, Leggat William, Troy Gaston, Russel Guehlo, Susan Prior, Alex San Gupta2026-07-03

📄 earth_science

How Do Exports and Imports Drive Per Capita Carbon Emissions? A Spatial Panel Analysis of the Persian Gulf Region

This spatial panel analysis of seven Persian Gulf countries from 1995 to 2020 confirms the Environmental Kuznets Curve hypothesis and reveals that both exports and imports significantly increase per capita CO₂ emissions, with imports having a stronger impact, thereby urging policymakers to adopt cleaner production technologies and carbon-efficient trade structures to mitigate environmental degradation.

Amir Dadrasmoghadam, Ali Alisofi, Seyed Mahdi Hosseini2026-07-02

📄 earth_science

Wildfire-induced nutrient redistribution drives depth-dependent functional decoupling and network destabilization

This study demonstrates that wildfire in subtropical forests drives depth-dependent functional decoupling and network destabilization, where increasing fire severity enriches nitrogen and phosphorus cycling while reducing carbon degradation in surface soils and disrupting microbial interaction networks, whereas deeper soil layers remain comparatively buffered from these effects.

Yuqing Wang, Haocai Wang, Dongrui Di, Hong Ma, Weiyu Shi2026-07-02

📄 earth_science

A Stacked Deep Learning Framework for 100m Gridded Anthropogenic Heat Inventory Mapping in 64 Belt and Road Countries

This study presents a high-resolution (100m) anthropogenic heat inventory dataset for 64 Belt and Road countries in 2022, generated using a stacked deep learning framework that integrates multi-source remote sensing, meteorological, and urban POI data to support regional climate simulations and environmental policy-making.

Lingyun Feng, Min Xie2026-07-02

📄 earth_science

Taxonomic and paleoenvironmental reinterpretation of Cambrian (Series 2, Stages 3-4) calcimicrobe-archaeocyath reefs from north- western Sonora (Mexico)

This study reinterprets the depositional environment of the Cerro Rajón section in northwestern Sonora as an upper offshore ramp setting and refines the local archaeocyathan taxonomy by identifying synonyms, thereby clarifying the paleogeographic continuity of these early Cambrian reefs with the broader Laurentian margin.

Iban Goñi, Adeline Kerner, Léa Devaere, Jesús Porfirio Sosa-Leon, Juan-José Palafox-Reyes, Daniel Vachard, Timothy P. To (…)2026-07-02

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