Species diversity is one of the most important indices used for evaluating the sustainability of forest communities. This study aims to characterize the forest communities and to identify and compare the plant species diversity in the study area. For this purpose, 152 relevés were sampled by a randomized-systematic method, using the Braun-Blanquet scale. Classification of the vegetation was con...

This paper proposes a set of web-based indicators for quantifying and ranking the relevance of terms related to key-issues in Ecology and Sustainability Science. Search engines that operate in different contexts (e.g. global, social, scientific) are considered as web information carriers (WICs) and are able to analyse; (i) relevance on different levels: global web, individual/personal sphere, o...

BACKGROUND Dengue has propagated widely through the Americas. Most countries have not been able to maintain permanent larval mosquito control programs, and the long-term effects of control actions have rarely been documented. METHODOLOGY The study design was based on a before-and-after citywide assessment of Aedes aegypti larval indices and the reported incidence of dengue in Clorinda, northe...

Achieving sustainability is one of the major current challenges in disease control programmes. In 2001-2002, a community-based dengue control intervention was developed in three health zones of Santiago de Cuba. New structures (heterogeneous community working groups and provincial/municipal coordination groups inserted in the vertical programme) were formed and constituted a key element to achi...

Computational Sustainability is a new emerging research field with the overall goal of studying and providing solutions to computational problems for balancing environmental, economic, and societal needs for a sustainable future. I will provide examples of challenge problems in Computational Sustainability, ranging from wildlife preservation and biodiversity, to balancing socio-economic needs a...

In this paper, we explore a new approach to computational sustainability based on variational inequalities (VIs). Our challenge is to compute the steady state behaviors of networks of supply chains with possibly conflicting objectives. VIs provide a way to handle this problem of modeling large networks with numerous conflicting goals. Given the size of real-world networks, suitable algorithms m...