Extent, characteristics and policy applications of Key Biodiversity Areas
ABSTRACT A global standard for the identification of Key Biodiversity Areas (KBAs) was published 10 years ago to provide a unified set of criteria for identifying ‘sites of significance for the global persistence of biodiversity’. We review the initiative's origins, the KBA identification process, characteristics of the current network, threats, policy
Stuart H. M. Butchart +57 more
wiley +1 more source
Why people matter in 21st century hydrology: lessons learnt from flood forecasting and warning. [PDF]
Speight L.
europepmc +1 more source
How wildlife respond to tropical cyclones: short‐term tactics and long‐term impacts
ABSTRACT From butterflies to lizards and from sharks to seabirds, wildlife exhibit tactics to survive the impacts of tropical cyclones, also known as hurricanes, cyclones, or typhoons depending on where they occur. Some species seek refuge during the storm by moving, some remain in place and ride it out, and others move longer distances, avoiding the ...
Erin L. Koen +15 more
wiley +1 more source
The comparative study of machine learning agent models in flood forecasting for tidal river reaches. [PDF]
Zhou J +5 more
europepmc +1 more source
The evidence base for ranger patrol effectiveness in conservation and how to improve it
ABSTRACT Ranger patrols are a cornerstone of wildlife protection efforts around the world and occur across all ecological governance systems. Evidence that patrols reduce threats to wildlife and enable their recovery has not been systematically examined previously.
Trina Rytwinski +19 more
wiley +1 more source
An Overview of Application of Machine Learning Models in Urban Flood Simulation and Forecasting
In recent years, the frequent occurrence of extreme rainstorms has been prone to causing urban flood disasters, directly affecting people's lives and property safety.
CHEN Zeming +5 more
doaj +2 more sources
Mountain flood forecasting in small watershed based on loop multi-step machine learning regression model. [PDF]
Wang S, Peng B, Xu O, Zhang Y, Wang J.
europepmc +1 more source
Climate Change Risks and Customer Concentration: Evidence From US‐Listed Firms
ABSTRACT While prior studies have investigated climate risks in supply chains, customer ESG pressures, and shared climate exposure, this paper is, to the best of our knowledge, the first to provide direct empirical evidence on the relationship between climate change risks and firms' customer concentration.
Thi Thuy Trang Nguyen +2 more
wiley +1 more source
Exploring a long short-term memory for mountain flood forecasting based on watershed-internal knowledge graph and large language model. [PDF]
Wang S, Xu O.
europepmc +1 more source
Generative AI, ESG Sensemaking, and Environmental Performance: an OIPT Perspective
ABSTRACT Despite growing enthusiasm for generative artificial intelligence (GenAI) in sustainability management, it remains unclear how such technologies translate vast ESG information into meaningful environmental outcomes. This study addresses this gap by investigating how ESG sensemaking capability mediates the relationship between GenAI integration
Surajit Bag +3 more
wiley +1 more source

