Effect of Bushfire on the Structure and Composition of a Tropical Forest Reserve in Ghana DOI Creative Commons

Obed Likpalimor

Research Square (Research Square), Год журнала: 2024, Номер unknown

Опубликована: Дек. 19, 2024

Abstract The increasing frequency of bushfires rapidly alters forest ecosystems by transforming their vegetation structure and composition. This phenomenon poses a significant threat to biodiversity, as it hinders the forest's ability regenerate enhances its variability. Despite urgent need understand these impacts, comprehensive studies documenting effects on vegetation, particularly in Opro River Forest Reserve, remain scarce. study aims assess influence composition within Reserve. research was conducted at two distinct sites: burnt unburnt sites reserve. Sampling involved establishment twenty 25 m × plots, with ten plots designated for each site. Trees diameter breast height (dbh) 10 cm or greater were recorded, alongside nested 5 shrubs (dbh < > 1.5 m). A total 75 plant species across 31 families identified both sites. In site, trees dominant woody plants, Broussonetia papyrifera being most prevalent species. Conversely, site primarily dominated shrubs, Chromolaena odorata. Shannon diversity index higher (0.36) compared (0.34), although evenness number individuals area. Notably, tree significantly declined relative

Язык: Английский

EDITORIAL: FIRE AND ENVIRONMENT. ISSUES AND CHALLENGES DOI Creative Commons
Jesús Rodrigo‐Comino, Saskia Keesstra, Nieves Fernandez-Añez

и другие.

Trees Forests and People, Год журнала: 2024, Номер unknown, С. 100693 - 100693

Опубликована: Окт. 1, 2024

Язык: Английский

Процитировано

0
Wildfire Identification Based on an Improved MobileNetV3-Small Model DOI Open Access
Guanggang Shi, Yina Wang, Zhenfa Yang

и другие.

Forests, Год журнала: 2024, Номер 15(11), С. 1975 - 1975

Опубликована: Ноя. 8, 2024

In this paper, an improved MobileNetV3-Small algorithm model is proposed for the problem of poor real-time wildfire identification based on convolutional neural networks (CNNs). Firstly, a dataset constructed and subsequently expanded through image enhancement techniques. Secondly, efficient channel attention mechanism (ECA) utilised instead Squeeze-and-Excitation (SE) module within to enhance model’s speed. Lastly, support vector machine (SVM) employed replace classification layer model, with principal component analysis (PCA) applied before SVM reduce dimensionality features, thereby enhancing SVM’s efficiency. The experimental results demonstrate that achieves accuracy 98.75% average frame rate 93. Compared initial mean has been elevated by 7.23. designed in paper improves speed while maintaining accuracy, advancing development application CNNs field monitoring.

Язык: Английский

Процитировано

0
Impacts of Wildfire Smoke Aerosols on Radiation, Clouds, Precipitation, Climate, and Air Quality DOI

Rahele Barjeste Vaezi,

Michael Martin, Farnaz Hosseinpour

и другие.

Опубликована: Янв. 1, 2024

Язык: Английский

Процитировано

0
Effect of Bushfire on the Structure and Composition of a Tropical Forest Reserve in Ghana DOI Creative Commons

Obed Likpalimor

Research Square (Research Square), Год журнала: 2024, Номер unknown

Опубликована: Дек. 19, 2024

Abstract The increasing frequency of bushfires rapidly alters forest ecosystems by transforming their vegetation structure and composition. This phenomenon poses a significant threat to biodiversity, as it hinders the forest's ability regenerate enhances its variability. Despite urgent need understand these impacts, comprehensive studies documenting effects on vegetation, particularly in Opro River Forest Reserve, remain scarce. study aims assess influence composition within Reserve. research was conducted at two distinct sites: burnt unburnt sites reserve. Sampling involved establishment twenty 25 m × plots, with ten plots designated for each site. Trees diameter breast height (dbh) 10 cm or greater were recorded, alongside nested 5 shrubs (dbh < > 1.5 m). A total 75 plant species across 31 families identified both sites. In site, trees dominant woody plants, Broussonetia papyrifera being most prevalent species. Conversely, site primarily dominated shrubs, Chromolaena odorata. Shannon diversity index higher (0.36) compared (0.34), although evenness number individuals area. Notably, tree significantly declined relative

Язык: Английский

Процитировано

0