scholarly journals Conservation beyond protected areas: Using vertebrate species ranges and biodiversity importance scores to inform policy for an east African country in transition

2019 ◽  
Vol 2 (1) ◽  
Author(s):  
Peter Tyrrell ◽  
Johan T. Toit ◽  
David W. Macdonald
Keyword(s):  
Protected Areas ◽  
African Country ◽  
Vertebrate Species ◽  
East African ◽  
Species Ranges ◽  
East African Country

scholarly journals Socioeconomic Differences in Dietary Patterns in an East African Country: Evidence from the Republic of Seychelles

PLoS ONE ◽  
2016 ◽  
Vol 11 (5) ◽  
pp. e0155617 ◽  
Author(s):  
Ana-Lucia Mayén ◽  
Pascal Bovet ◽  
Helena Marti-Soler ◽  
Bharathi Viswanathan ◽  
Jude Gedeon ◽  
...  
Keyword(s):  
Dietary Patterns ◽  
African Country ◽  
Socioeconomic Differences ◽  
East African ◽  
East African Country ◽  
The Republic

scholarly journals The geography of high-value biodiversity areas for terrestrial vertebrates in Western Europe and their coverage by protected area networks

Web Ecology ◽  
2012 ◽  
Vol 12 (1) ◽  
pp. 65-73 ◽  
Author(s):  
M. J. T. Assunção-Albuquerque ◽  
J. M. Rey Benayas ◽  
F. S. Albuquerque ◽  
M. Á. Rodríguez
Keyword(s):  
Protected Areas ◽  
Protected Area ◽  
Western Europe ◽  
Natura 2000 ◽  
Area Network ◽  
Vertebrate Species ◽  
Natura 2000 Network ◽  
Study Region ◽  
Terrestrial Vertebrates ◽  
Major Taxon

Abstract. We identified high-value biodiversity areas (HVBAs) of terrestrial vertebrates according to a combined index of biodiversity (CBI) for each major taxon and a standardized biodiversity index (SBI) for all taxa in 2195 cells of 50 × 50 km in Western Europe to evaluate whether these areas are included in the current protected area networks. The World Database on Protected Areas (WDPA) and NATURA 2000 protected area network were used to assess the protected area cover in HVBAs. WDPA and NATURA 2000 were geographically quite complementary as WDPA is more densely represented in Central and Northern Europe and NATURA 2000 in the Mediterranean basin. A total of 729 cells were identified as HVBAs. From the total of these HVBA areas, NATURA 2000 network was present in more cells (660) than the WDPA network (584 cells). The sum of protected land percentages across all the HVBA cells was 28.8%. The identified HVBA cells according to the SBI included 603 or 78.2% of all vertebrate species in the study region, whereas the identified HVBA cells according to the SBI for individual taxa included 47 (90.4%) species of amphibians, 79 (74.5%) of reptiles, 417 (88.5%) of birds, and 130 (91.5%) of mammals. However, neither network was present in 7 or 3% of the identified HVBA cells. Thus, we recommend expanding protected areas in Europe to fill this gap and improve coverage of vertebrate species to strengthen biodiversity conservation.

Poverty and the use of destructive fishing gear near east African marine protected areas

2009 ◽  
Vol 36 (4) ◽  
pp. 321-326 ◽  
Author(s):  
J. E. CINNER
Keyword(s):  
Protected Areas ◽  
Marine Protected Areas ◽  
Low Income ◽  
Juvenile Fish ◽  
Binary Logistic Regression ◽  
Poverty Traps ◽  
Socioeconomic Conditions ◽  
East African ◽  
Binary Logistic Regression Model ◽  
Destructive Fishing

SUMMARYPoverty may be an important influence on the exploitation of marine resources in tropical developing countries. A number of studies have hypothesized that destructive fishing gears, which can degrade habitat, capture high proportions of juvenile fish and ultimately lead to reduced yields, are primarily used by the poorer segments of society. However, few studies have empirically tested this relationship. This paper examines relationships between the use of destructive seine nets and thirteen socioeconomic conditions in communities adjacent to three peri-urban marine protected areas in east Africa. Fishers using destructive gears were younger, less likely to have capital invested in the fishery, had lower fortnightly expenditures and were poorer in two multivariate indices of material style of life. Based on the two multivariate material style of life indices, a binary logistic regression model classified whether fishers used destructive gears with almost 70% accuracy. These findings are broadly consistent with the literature on poverty traps, which are situations in which the poor are unable to mobilize the resources required to overcome low-income situations and consequently engage in behaviour that may reinforce their own poverty. Managers aiming to reduce destructive gear use may need to partner with civil society and donors to help break poverty traps.

scholarly journals Genetic diversity of North American vertebrates in protected areas

2020 ◽  
Author(s):  
Coleen E P Thompson ◽  
Tara A Pelletier ◽  
Bryan C Carstens
Keyword(s):  
Genetic Diversity ◽  
Protected Areas ◽  
Nucleotide Diversity ◽  
Intraspecific Diversity ◽  
Vertebrate Species ◽  
Global Biodiversity Information Facility ◽  
Significant Difference ◽  
Simulation Testing ◽  
Global Biodiversity ◽  
Biodiversity Information

Abstract Protected areas play a crucial role in the conservation of biodiversity; however, it is unclear if these areas have an influence on genetic diversity. As a first step towards addressing this issue, we compare the genetic diversity inside and outside of protected areas. We tested the null hypothesis that there is no difference between genetic diversity inside compared to outside of protected areas in 44 vertebrate species. By automatically skimming the Global Biodiversity Information Facility (GBIF) and the National Center for Biotechnology Information (NCBI) GenBank we obtained genetic and geographical data to be repurposed and reanalysed. Novel pipelines were used to automate the process of assigning individuals to inside or outside of protected areas and then used to calculate different measures of intraspecific diversity. Forty-eight percent of examined species showed a significant difference in the amount of nucleotide diversity they contained inside compared to outside of protected areas, with similar numbers of species containing more or less genetic diversity inside compared to outside. Although our simulation testing suggests that this result is not an artefact of sampling, it is unclear what factors influence the relative amount of genetic diversity in protected areas across species.

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