No AccessStand Alone Books1 Feb 2013Sustainable Development ConceptAn Economic AnalysisAuthors/Editors: John PezzeyJohn Pezzeyhttps://doi.org/10.1596/0-8213-2278-8SectionsAboutPDF (0.6 MB) ToolsAdd to favoritesDownload CitationsTrack Citations ShareFacebookTwitterLinked In Abstract:This paper attemp...
Bayes Ahmed
Landslides are a common hazard in the highly urbanized hilly areas in Chittagong Metropolitan Area (CMA), Bangladesh. The main cause of the landslides is torrential rain in short period of time. This area experiences several landslides each year, resulting in casualties, property damage, and economi...
Jon Hutton, Nigel Leader‐Williams
Discussions of sustainable use have become polarized. Welfarists oppose all use that involves killing animals. Among conservationists polarization arises in part from failure to distinguish between different ideas nestled under the umbrella term of ‘sustainable use’. These include direct use as an i...
Noreen Beg, Jan Corfee-Morlot, Ogunlade Davidson, Yaw Afrane-Okesse et al.
Abstract Climate change does not yet feature prominently within the environmental or economic policy agendas of developing countries. Yet evidence shows that some of the most adverse effects of climate change will be in developing countries, where populations are most vulnerable and least likely to ...
Hugh Brammer
Richard T. Corlett
Abstract Tropical East Asia is home to over 1 billion people and faces massive human impacts from its rising population and rapid economic growth. It has already lost more than half of its forest cover and has the highest rates of deforestation and logging in the tropics. Hunting and the trade in wi...
Vaclav Smil
Official figures show that the total extent of China's farmland has been steadily decreasing since the late 1950s and that it now stands at roughly 95 million hectares (Mha). Divided by 1.243 billion people, China's mid-1998 population total, this prorates to less than 0.08 ha/capita, a rate compara...
Mohammad Mahmudul Islam, Md. Shamsuddoha
The coastal and marine ecosystem provides critical ecosystem services to millions of people living in a densely populated Bangladesh. In recent decades, the ecosystem faces a number of challenges derived from both natural and anthropogenic sources that put pressures on the sustainability of the soci...
Murali Krishna Gumma, Prasad S. Thenkabail, Pardharsadhi Teluguntla, Mahesh Rao et al.
The goal of this study was to map rainfed and irrigated rice-fallow cropland areas across South Asia, using MODIS 250 m time-series data and identify where the farming system may be intensified by the inclusion of a short-season crop during the fallow period. Rice-fallow cropland areas are those are...
Khan Towhid Osman
Mohammed Sarfaraz Gani Adnan, Salman Rahman, Nahian Ahmed, Bayes Ahmed et al.
Despite yielding considerable degrees of accuracy in landslide predictions, the outcomes of different landslide susceptibility models are prone to spatial disagreement; and therefore, uncertainties. Uncertainties in the results of various landslide susceptibility models create challenges in selectin...
Subrata Sarker, Md. Aminul Haque Bhuyan, Muhammad Mizanur Rahman, Md. Ahsanul Islam et al.
Syed Mithun Ali, Andrea Appolloni, Fausto Cavallaro, Idiano D’Adamo et al.
Sustainability’s growth, year after year, continues to be staggering, becoming a reference point for those working on these issues [...]
Kashif Ullah, Yi Wang, Zhice Fang, Lizhe Wang et al.
Multi-hazard susceptibility prediction is an important component of disasters risk management plan. An effective multi-hazard risk mitigation strategy includes assessing individual hazards as well as their interactions. However, with the rapid development of artificial intelligence technology, multi...
Jules Maurice Habumugisha, Ningsheng Chen, Mahfuzur Rahman, Md Monirul Islam et al.
Among natural hazards, landslides are devastating in China. However, little is known regarding potential landslide-prone areas in Maoxian County. The goal of this study was to apply four deep learning algorithms, the convolutional neural network (CNN), deep neural network (DNN), long short-term memo...