Identifying the essential flood conditioning factors for flood prone area map** using machine learning techniques

MS Tehrany, S Jones, F Shabani - Catena, 2019 - Elsevier
River flooding can be a highly destructive natural hazard. Numerous approaches have been
used to study the phenomenon; however, insufficient knowledge regarding flood …

Modeling spatial patterns of fire occurrence in Mediterranean Europe using Multiple Regression and Random Forest

S Oliveira, F Oehler, J San-Miguel-Ayanz… - Forest Ecology and …, 2012 - Elsevier
Fire occurrence, which results from the presence of an ignition source and the conditions for
a fire to spread, is an essential component of fire risk assessment. In this paper, we present …

Deciphering the distribution of the savanna biome

CER Lehmann, SA Archibald, WA Hoffmann… - New …, 2011 - Wiley Online Library
We aimed to identify the limits of savanna across Africa, Australia and South America. We
based our investigation on the rich history of hypotheses previously examined: that the limits …

Managing forward while looking back: reopening closed forests to open woodlands and savannas

LS Pile Knapp, DC Dey, MC Stambaugh… - Fire Ecology, 2024 - Springer
Background Ecosystem management, community restoration, and managing for climate
resilience have become major priorities of land management in recent decades. For …

Landslide susceptibility modeling using bivariate statistical-based logistic regression, naïve Bayes, and alternating decision tree models

W Chen, Z Yang - Bulletin of Engineering Geology and the Environment, 2023 - Springer
The main aim of this study is to use weights of evidence (WoE), logistic regression (LR),
naïve Bayes (NB), and alternating decision tree (ADTree) models to draw a landslide …

The North American tree‐ring fire‐scar network

EQ Margolis, CH Guiterman, RD Chavardès… - …, 2022 - Wiley Online Library
Abstract Fire regimes in North American forests are diverse and modern fire records are
often too short to capture important patterns, trends, feedbacks, and drivers of variability …

Soil erosion susceptibility map** using ensemble machine learning models: A case study of upper Congo river sub-basin

LC Kulimushi, JB Bashagaluke, P Prasad, AB Heri-Kazi… - Catena, 2023 - Elsevier
Despite its large size, the Congo Basin (CB), which spans ten countries, has remained an
area of particular interest for scientific discovery due to gaps in Earth science, environmental …

Wildfire spatial pattern analysis in the Zagros Mountains, Iran: A comparative study of decision tree based classifiers

A Jaafari, EK Zenner, BT Pham - Ecological informatics, 2018 - Elsevier
Abstract Knowledge of wildfire behavior is of key importance for planning and allocating
resources to fire suppression efforts. In this study, we analyzed the spatial pattern of wildfires …

Native Americans as active and passive promoters of mast and fruit trees in the eastern USA

MD Abrams, GJ Nowacki - The Holocene, 2008 - journals.sagepub.com
We reviewed literature in the fields of anthropology, archaeology, ethnobotany, palynology
and ecology to try to determine the impacts of Native Americans as active and passive …

Southern African fire regimes as revealed by remote sensing

S Archibald, RJ Scholes, DP Roy… - … Journal of Wildland …, 2010 - CSIRO Publishing
Here we integrate spatial information on annual burnt area, fire frequency, fire seasonality,
fire radiative power and fire size distributions to produce an integrated picture of fire regimes …