Abstract. Population data represent an essential component in
studies focusing on human–nature interrelationships, disaster risk
assessment and environmental health. Several recent efforts have produced
global- and continental-extent gridded population data which are becoming
increasingly popular among various research communities. However, these data
products, which are of very different characteristics and based on different
modeling assumptions, have never been systematically reviewed and compared,
which may impede their appropriate use. This article fills this gap and
presents, compares and discusses a set of large-scale (global and
continental) gridded datasets representing population counts or densities.
It focuses on data properties, methodological approaches and relative
quality aspects that are important to fully understand the characteristics
of the data with regard to the intended uses. Written by the data producers
and members of the user community, through the lens of the “fitness for
use” concept, the aim of this paper is to provide potential data users with
the knowledge base needed to make informed decisions about the
appropriateness of the data products available in relation to the target
application and for critical analysis.
This paper seeks to quantify the impact of a1-m sea-level rise on coastal wetlands in 86 developing countries and territories. It is found that approximately 68 % of coastal wetlands in these countries are at risk. A large percentage of this estimated loss is found in Europe and Central Asia, East Asia, and the Pacific, as well as in the Middle East and North Africa. A small number of countries will be severely affected. China and Vietnam(in East Asia and the Pacific), Libya and Egypt (in the Middle East and North Africa), and Romania and Ukraine (in Europe and Central Asia) will bear most losses. In economic terms, the loss of coastal wetlands is likely to exceed $703 million per year in 2000 US dollars.
Abstracts Adaptation to climate change includes addressing sea-level rise (SLR) and increased storm surges in many coastal areas. Mangroves can substantially reduce vulnerability of the adjacent coastal land from inundation but SLR poses a threat to the future of mangroves. This paper quantifies coastal protection services of mangroves for 42 developing countries in the current climate, and a future climate change scenario with a 1-m SLR and 10 % intensification of storms. Findings demonstrate that while SLR and increased storm intensity would increase storm surge areas, the greatest impact is from the expected loss of mangroves. Under current climate and mangrove coverage, 3.5 million people and GDP worth roughly US $400 million are at risk. In the future climate change scenario, vulnerable population and GDP at risk would increase by 103 and 233 %. The greatest risk is in East Asia, especially in Indonesia and the Philippines as well as Myanmar.
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