Housing poverty in developing countries: Challenges and implications for decent accommodation in Swedru, Ghana

Adequate supply of housing remains a challenge in developing countries. This article assesses the extent of housing poverty in developing countries and its implication for decent accommodation[1] in Swedru, Ghana. Using a cross-sectional survey design coupled with stratified and systematic sampling techniques, 1,161 household participants were selected. Questionnaires and interviews were used to collect raw data from 496 houses in 16 neighbourhoods in the Swedru Township, Ghana. Findings showed that the vast majority of houses in the Swedru Township share common housing facilities such as bathroom and lavatory. This has compelled some households to resort to bathing in open spaces, while practising free range especially in the morning where households have to queue for bathing and using the toilet facility. A room occupancy rate of 5.51 indicates that households are congested and a population of 4,603 accommodated in 496 housing units is evident. It was revealed that the high level of non-decent accommodation in the municipality is attributable to ill-enforcement of building laws that has allowed houseowners to supply housing without lavatories with impunity. Hence, effective implementation of the L.I.1630 was recommended.   [1] Decent home/housing is not about the moral conducts of the households, but rather about the extent to which households feel comfortable as occupants of a house to include adequate space, availability of facilities, and security

Modern Trends in Ownership and Acquisition of Large-scale Lands in Teshie and Kasoa, Ghana

With the rising urbanisation of some parts of Ghana, the demand for land for various purposes is inevitable. The article assesses current trend of  large-scale land acquisition in Teshie and Kasoa. The study used semi-structured interviews to solicit primary data from key informants such as chiefs at Nyanyano-Kasoa and Tsie-We family head at Teshie, land guards, and investors who acquire large scale lands in these areas to identify the trends in such acquisitions between 2014 to 2019.The study uncovered that though there are variations in the nature of land ownership in Teshie and Kasoa, multiple sale of lands, poor land management practices, litigation and land guarding are common practices in both areas. The study found that there is an institutional gap as both the state and traditional institutions have not really done much to deal with the challenges  confronting LSLAs in these areas. It is recommended that land owning groups be engaged and educated by the Lands Commission in collaboration with Customary Lands Secretariat on proper ways to manage and sell their lands to avoid multiple sales and the conflicts that it brings. The Ghana police service should crackdown on land guarding which is an illegal activity. Keywords: Large-scale, Land Acquisition, Land Ownership, Customary Land Secretariat, Traditional Authoritie

The PREDICTS database: a global database of how local terrestrial biodiversity responds to human impacts

Biodiversity continues to decline in the face of increasing anthropogenic pressures such as habitat destruction, exploitation, pollution and introduction of alien species. Existing global databases of species’ threat status or population time series are dominated by charismatic species. The collation of datasets with broad taxonomic and biogeographic extents, and that support computation of a range of biodiversity indicators, is necessary to enable better understanding of historical declines and to project – and avert – future declines. We describe and assess a new database of more than 1.6 million samples from 78 countries representing over 28,000 species, collated from existing spatial comparisons of local-scale biodiversity exposed to different intensities and types of anthropogenic pressures, from terrestrial sites around the world. The database contains measurements taken in 208 (of 814) ecoregions, 13 (of 14) biomes, 25 (of 35) biodiversity hotspots and 16 (of 17) megadiverse countries. The database contains more than 1% of the total number of all species described, and more than 1% of the described species within many taxonomic groups – including flowering plants, gymnosperms, birds, mammals, reptiles, amphibians, beetles, lepidopterans and hymenopterans. The dataset, which is still being added to, is therefore already considerably larger and more representative than those used by previous quantitative models of biodiversity trends and responses. The database is being assembled as part of the PREDICTS project (Projecting Responses of Ecological Diversity In Changing Terrestrial Systems – www.predicts.org.uk). We make site-level summary data available alongside this article. The full database will be publicly available in 2015

The PREDICTS database: a global database of how local terrestrial biodiversity responds to human impacts.

Biodiversity continues to decline in the face of increasing anthropogenic pressures such as habitat destruction, exploitation, pollution and introduction of alien species. Existing global databases of species' threat status or population time series are dominated by charismatic species. The collation of datasets with broad taxonomic and biogeographic extents, and that support computation of a range of biodiversity indicators, is necessary to enable better understanding of historical declines and to project - and avert - future declines. We describe and assess a new database of more than 1.6 million samples from 78 countries representing over 28,000 species, collated from existing spatial comparisons of local-scale biodiversity exposed to different intensities and types of anthropogenic pressures, from terrestrial sites around the world. The database contains measurements taken in 208 (of 814) ecoregions, 13 (of 14) biomes, 25 (of 35) biodiversity hotspots and 16 (of 17) megadiverse countries. The database contains more than 1\% of the total number of all species described, and more than 1\% of the described species within many taxonomic groups - including flowering plants, gymnosperms, birds, mammals, reptiles, amphibians, beetles, lepidopterans and hymenopterans. The dataset, which is still being added to, is therefore already considerably larger and more representative than those used by previous quantitative models of biodiversity trends and responses. The database is being assembled as part of the PREDICTS project (Projecting Responses of Ecological Diversity In Changing Terrestrial Systems - http://www.predicts.org.uk). We make site-level summary data available alongside this article. The full database will be publicly available in 2015

The database of the PREDICTS (Projecting Responses of Ecological Diversity In Changing Terrestrial Systems) project

The PREDICTS project-Projecting Responses of Ecological Diversity In Changing Terrestrial Systems (www.predicts.org.uk)-has collated from published studies a large, reasonably representative database of comparable samples of biodiversity from multiple sites that differ in the nature or intensity of human impacts relating to land use. We have used this evidence base to develop global and regional statistical models of how local biodiversity responds to these measures. We describe and make freely available this 2016 release of the database, containing more than 3.2 million records sampled at over 26,000 locations and representing over 47,000 species. We outline how the database can help in answering a range of questions in ecology and conservation biology. To our knowledge, this is the largest and most geographically and taxonomically representative database of spatial comparisons of biodiversity that has been collated to date; it will be useful to researchers and international efforts wishing to model and understand the global status of biodiversity

The database of the PREDICTS (Projecting Responses of Ecological Diversity In Changing Terrestrial Systems) project

The PREDICTS project—Projecting Responses of Ecological Diversity In Changing Terrestrial Systems (www.predicts.org.uk)—has collated from published studies a large, reasonably representative database of comparable samples of biodiversity from multiple sites that differ in the nature or intensity of human impacts relating to land use. We have used this evidence base to develop global and regional statistical models of how local biodiversity responds to these measures. We describe and make freely available this 2016 release of the database, containing more than 3.2 million records sampled at over 26,000 locations and representing over 47,000 species. We outline how the database can help in answering a range of questions in ecology and conservation biology. To our knowledge, this is the largest and most geographically and taxonomically representative database of spatial comparisons of biodiversity that has been collated to date; it will be useful to researchers and international efforts wishing to model and understand the global status of biodiversity