Skip to content

Asia-Pacific Network for Global Change Research

Asia-Pacific Network for Global Change Research

Read our Science Bulletin

Site search

Filter by

Showing 271 – 280 of 318 results

Peer-reviewed publication • 2012

A process-based and distributed model for nutrient dynamics in river basin: Development, testing and applications

Peer-reviewed publication • 2012

Analysis of flood vulnerability and assessment of the impacts in coastal zones of Bangladesh due to potential sea-level rise

Peer-reviewed publication • 2012

Assessing impacts of sea level rise on river salinity in the Gorai river network, Bangladesh

Peer-reviewed publication • 2012

Analysis of Bed Load Equations and River Bed Level Variations Using Basin-Scale Process-Based Modelling Approach

Peer-reviewed publication • 2012

Dryland development paradigm application for the study of the Tuin and Baidrag river basin social-ecological systems in Mongolia

Peer-reviewed publication • 2012

Social Characteristics and Vulnerabilities of Disaster-Prone Communities in Infanta, Quezon, Philippines

Peer-reviewed publication • 2012

Modeling the Spatial Distribution of Rainfall-Induced Landslide Susceptibilities in Infanta, Quezon, Philippines

Peer-reviewed publication • 2012

Socio-economic characteristics of farmers influencing adaptation to climate change: Empirical results from selected homegardens in south Asia with emphasis on commercial orientation

Report • 2012

Project Final Report: ARCP2010-03

Project • CBA2011-15NSY-Wagan

Capability Enhancement of the Local Experts from State Universities and Colleges in Assessing Climate Change Vulnerability and Adaptive Capacity of Crop-based Farming Systems in Various Agroecological Settings

Privacy Overview

This website uses cookies so that we can provide you with the best user experience possible. Cookie information is stored in your browser and performs functions such as recognising you when you return to our website and helping our team to understand which sections of the website you find most interesting and useful.