Dataset Information

Environmental gap analysis to prioritize conservation efforts in eastern Africa.

ABSTRACT: Countries in eastern Africa have set aside significant proportions of their land for protection. But are these areas representative of the diverse range of species and habitats found in the region? And do conservation efforts include areas where the state of biodiversity is likely to deteriorate without further interventions? Various studies have addressed these questions at global and continental scales. However, meaningful conservation decisions are required at finer geographical scales. To operate more effectively at the national level, finer scale baseline data on species and on higher levels of biological organization such as the eco-regions are required, among other factors. Here we adopted a recently developed high-resolution potential natural vegetation (PNV) map for eastern Africa as a baseline to more effectively identify conservation priorities. We examined how well different potential natural vegetations (PNVs) are represented in the protected area (PA) network of eastern Africa and used a multivariate environmental similarity index to evaluate biases in PA versus PNV coverage. We additionally overlaid data of anthropogenic factors that potentially influence the natural vegetation to assess the level of threat to different PNVs. Our results indicate substantial differences in the conservation status of PNVs. In addition, particular PNVs in which biodiversity protection and ecological functions are at risk due to human influences are revealed. The data and approach presented here provide a step forward in developing more transparent and better informed translation from global priorities to regional or national implementation in eastern Africa, and are valid for other geographic regions.

SUBMITTER: van Breugel P

PROVIDER: S-EPMC4391866 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Environmental gap analysis to prioritize conservation efforts in eastern Africa.

van Breugel Paulo P Kindt Roeland R Barnekow Lillesø Jens-Peter JP van Breugel Michiel M

PloS one 20150409 4

Countries in eastern Africa have set aside significant proportions of their land for protection. But are these areas representative of the diverse range of species and habitats found in the region? And do conservation efforts include areas where the state of biodiversity is likely to deteriorate without further interventions? Various studies have addressed these questions at global and continental scales. However, meaningful conservation decisions are required at finer geographical scales. To op ...[more]

PMID: 25855968

Similar Datasets

Project description:Water scarcity remains a major threat to most rural areas in Africa due to heavy reliance on rainfed agriculture. This prompts the need to document and understand the determinants of traditional knowledge of water conservation practices. Our aim here is to document and identify the determinants of people's knowledge of traditional knowledge of water conservation in the South Africa's Eastern Cape province. A mixed research method was used. Purposive approach was used to collect data, i.e., elderly people were targeted during the face-to-face pre-COVID-19 pandemic interviews on the basis that traditional knowledge increases with age. However, people of different age groups were also included in the study especially when we employed only online questionnaire during the pandemic. We used questionnaire to collect all the data, and 93 people responded in total to our questions. We documented 10 traditional water conservation technologies. We identified rainfall variation, water quality issues, and increased water demand as the major challenges linked to these technologies, while easy access and the amount of water harvested are reported as benefits of these technologies. We found that traditional knowledge is not influenced by age (β = -0.006 ± 0.01, P = 0.64) or gender (β = -0.16 ± 0.25, P = 0.64) but rather correlates positively with geographic location, irrespective of the starting point of the distance measurement (distance from Port Elizabeth city: β = 0.002 ± 0.0008, P = 0.004; distance from Ngqushwa village: β = 0.0024 ± 0.0009, P = 0.008). Counterintuitively, formally educated people tend to have more traditional knowledge, but this is likely linked to the modern technologies (online survey and social media platforms) used to collect data during the COVID-19 pandemic. We suggest that traditional knowledge that has sustained life for centuries in rural communities must be integrated into water resource management to address water scarcity issues in rural Africa.

Project description:Ongoing water quality degradation tied to nitrogen and phosphorus pollution results in significant economic damages by diminishing the recreational value of surface water and compromising fisheries. Progress in decreasing nitrogen and phosphorus pollution to surface water over the past two decades has been slow. Limited resources need to be leveraged efficiently and effectively to prioritize watersheds for restoration. Leveraging recent nitrogen and phosphorus inventories for the years 2002, 2007, and 2012, we extracted relevant flux and demand terms to help identify US subbasins that are likely contributing a disproportionate amount of point and non-point source nutrient pollution to surface water by exploring the mean spatial distribution of terrestrial anthropogenic surplus, agricultural surplus, agricultural nutrient use efficiency, and point source loads. A small proportion of the landscape, <25% of subbasin area of the United States, contains 50% of anthropogenic and agriculture nitrogen and phosphorus surplus while only 2% of landscape contributes >50% of point source loads into surface water. Point source loads are mainly concentrated in urban areas across the country with point source loading rates often exceeding >10.0 kg N ha-1 yr-1 and >1.0 kg P ha-1 yr-1. However, the ability for future upgrades to wastewater treatment plant infrastructure alone is unlikely to drive further improvement in water quality, outside of local water ways, since point source loads only account for ~4% of anthropogenic N and P surplus. As such, further progress in boosting nutrient use efficiency in agricultural production, usually lowest in areas of intensive livestock production, would likely contribute to the biggest gains to water quality restoration goals. This analysis and the corresponding database integrate multiple streams of information to highlight areas where N and P are being managed inefficiently to give decision makers a succinct platform to identify likely areas and sources of water quality degradation.

Dataset Information

Environmental gap analysis to prioritize conservation efforts in eastern Africa.

Publications

Environmental gap analysis to prioritize conservation efforts in eastern Africa.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets