Forest disturbances under climate change
Forest disturbances are sensitive to climate. However, our understanding of disturbance
dynamics in response to climatic changes remains incomplete, particularly regarding large …
dynamics in response to climatic changes remains incomplete, particularly regarding large …
Flood inundation modelling: A review of methods, recent advances and uncertainty analysis
This paper reviews state-of-the-art empirical, hydrodynamic and simple conceptual models
for determining flood inundation. It explores their advantages and limitations, highlights the …
for determining flood inundation. It explores their advantages and limitations, highlights the …
[HTML][HTML] Sources of hydrological model uncertainties and advances in their analysis
Water | Free Full-Text | Review: Sources of Hydrological Model Uncertainties and Advances
in Their Analysis Next Article in Journal Assessing the Influence of Compounding Factors to …
in Their Analysis Next Article in Journal Assessing the Influence of Compounding Factors to …
GIS-based groundwater potential mapping using boosted regression tree, classification and regression tree, and random forest machine learning models in Iran
Groundwater is considered one of the most valuable fresh water resources. The main
objective of this study was to produce groundwater spring potential maps in the Koohrang …
objective of this study was to produce groundwater spring potential maps in the Koohrang …
An uncertain future, deep uncertainty, scenarios, robustness and adaptation: How do they fit together?
A highly uncertain future due to changes in climate, technology and socio-economics has
led to the realisation that identification of “best-guess” future conditions might no longer be …
led to the realisation that identification of “best-guess” future conditions might no longer be …
Application of GIS-based data driven random forest and maximum entropy models for groundwater potential mapping: a case study at Mehran Region, Iran
O Rahmati, HR Pourghasemi, AM Melesse - Catena, 2016 - Elsevier
Groundwater is considered as the most important natural resources in arid and semi-arid
regions. In this study, the application of random forest (RF) and maximum entropy (ME) …
regions. In this study, the application of random forest (RF) and maximum entropy (ME) …
Eight grand challenges in socio-environmental systems modeling
Modeling is essential to characterize and explore complex societal and environmental
issues in systematic and collaborative ways. Socio-environmental systems (SES) modeling …
issues in systematic and collaborative ways. Socio-environmental systems (SES) modeling …
[HTML][HTML] An overview of methods to evaluate uncertainty of deterministic models in decision support
There is an increasing need for environmental management advice that is wide-scoped,
covering various interlinked policies, and realistic about the uncertainties related to the …
covering various interlinked policies, and realistic about the uncertainties related to the …
Global emission inventories for C4–C14 perfluoroalkyl carboxylic acid (PFCA) homologues from 1951 to 2030, Part I: production and emissions from quantifiable …
We quantify global emissions of C 4–C 14 perfluoroalkyl carboxylic acid (PFCA)
homologues during the life-cycle of products based on perfluorooctanoic acid (PFOA) …
homologues during the life-cycle of products based on perfluorooctanoic acid (PFOA) …
Species distribution models (SDM): applications, benefits and challenges in invasive species management.
The use of species distribution models (SDM) is of increasing popularity when studying
biological invasions, eg to assess the impact of climate change on invasive species, to …
biological invasions, eg to assess the impact of climate change on invasive species, to …