Results 21 to 30 of about 1,205,428 (289)

Late Paleocene to early Oligocene fire ecology of the south Mongolian highland

open access: yesFrontiers in Earth Science, 2023
Changes in fire ecology during warm and cold periods in the geological past are important because of their effects on terrestrial ecosystems and the global carbon cycle.
Xinying Zhou   +10 more
doaj   +1 more source

Reconstructing 34 Years of Fire History in the Wet, Subtropical Vegetation of Hong Kong Using Landsat

open access: yesRemote Sensing, 2023
Burn-area products from remote sensing provide the backbone for research in fire ecology, management, and modelling. Landsat imagery could be used to create an accurate burn-area map time series at ecologically relevant spatial resolutions.
Aland H. Y. Chan   +3 more
doaj   +1 more source

Heat shock and plant leachates regulate seed germination of the endangered carnivorous plant Drosophyllum lusitanicum [PDF]

open access: yesWeb Ecology, 2018
In fire-prone ecosystems, many plant species have specialized mechanisms of seed dormancy that ensure a successful recruitment after fire. A well-documented mechanism is the germination stimulated by fire-related cues, such as heat shock and smoke ...
S. Gómez-González   +5 more
doaj   +1 more source

Post-fire recovery of the plant community in Pinus brutia forests: active vs. indirect restoration techniques after salvage logging

open access: yesiForest - Biogeosciences and Forestry, 2018
Although reforestation is frequently utilized in many Mediterranean Basin countries to restore burned Mediterranean pine woodlands, post-fire recovery of the plant community is often neglected.
Urker O, Tavsanoglu C, Gürkan B
doaj   +1 more source

African fire histories and fire ecologies [PDF]

open access: yesPast Global Change Magazine, 2018
Patterns of fire are changing across African savannahs, rainforests, fynbos, woodlands, and Afroalpine and montane forests, with direct environmental and socio-ecological consequences. Fire variability has implications for biodiversity (Beale et al. 2018), vegetation patterns, grazing quality, carbon emissions, protected area management, and landscape ...
Courtney-Mustaphi, Colin   +6 more
openaire   +3 more sources

Study on the Influencing Factors of Eco-Environmental Quality in Typical Coal Fire Zones, Xinjiang, China

open access: yesFire
Coal fires are disasters that occur when underground coal seams are subjected to combustion conditions induced by natural or human factors. This study investigates the eco-environmental quality of three typical coal fire areas, namely Surablak, Shuixigou,
Jie Gao   +3 more
doaj   +1 more source

Investigation on Characteristics of Typical Pollutants Generated from Coal Fires: A Case Study of Sulabulak, Xinjiang, China

open access: yesFire
Coal fires are a significant source of greenhouse gas emissions and ecological pollutants, yet their emission characteristics and carbon accounting remain poorly constrained.
Xinrong Du, Zhicheng Yang, Qiang Zeng
doaj   +1 more source

Investigation of the Impact of Coal Fires on Soil: A Case Study of the Wugong Coal Fire Area, Xinjiang, China

open access: yesFire
This study focused on the Wugong coal fire area in the Zhunnan coalfield of Xinjiang, analyzing 41 soil samples extending from the fire center outward. The key parameters included pH, soil organic carbon (SOC), total nitrogen (TN), total phosphorus (TP),
Ruirui Hao   +4 more
doaj   +1 more source

Quantifying fire severity: a brief review and recommendations for improvement

open access: yesEcosystem Health and Sustainability, 2021
Introduction: Quantifying fire severity is an important aspect of studying the response mechanism of terrestrial ecosystems to wildfire, and it is of great significance to fire ecology.
Dongdong Han   +4 more
doaj   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

open access: yesAdvanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena   +3 more
wiley   +1 more source

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