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311.
The nurse shark, Ginglymostoma cirratum, inhabits shallow, tropical, and subtropical waters in the Atlantic and the eastern Pacific. Unlike many other species of
sharks, nurse sharks are remarkably sedentary. We assayed the mitochondrial control region and eight microsatellite loci from
individuals collected primarily in the western Atlantic to estimate the degree of population subdivision. Two individuals
from the eastern Atlantic and one from the Pacific coast of Panama also were genotyped. Overall, the mtDNA haplotype (h = 48 ± 5%) and nucleotide (π = 0.08 ± 0.06%) diversities were low. The microsatellite data mirror the mitochondrial results
with the average number of alleles ([`(N)]A \bar{N}_{A} = 9) and observed heterozygosity ([`(H)]O \bar{H}_{O} = 0.58) both low. The low levels of diversity seen in both the mtDNA and the microsatellite may be due to historical sea
level fluctuations and concomitant loss of shallow water habitat. Eight of the 10 pair-wise western Atlantic F
ST estimates for mtDNA indicated significant genetic subdivision. Pair-wise F
ST values for the microsatellite loci indicated a similar pattern as the mtDNA. The western Atlantic population of nurse sharks
is genetically subdivided with the strongest separation seen between the offshore islands and mainland Brazil, likely due
to deep water acting as a barrier to dispersal. The eastern and western Atlantic populations were closely related. The eastern
Pacific individual is quite different from Atlantic individuals and may be a cryptic, sister species. 相似文献
312.
María Elizabeth Barroeta-Hlusicka Joaquín Buitrago Martín Rada Ricardo Pérez 《Journal of Coastal Conservation》2012,16(1):65-76
Protected areas are the core of efforts to conserve biological diversity and zoning uses, and they are used as a tool for
their management. Global Positioning Systems (GPS) and Geographic Information System (GIS) have been used to evaluate conflicts
between approved uses and actual uses in La Restinga Lagoon National Park in Venezuela (LRLNP). The park (188.6 km2), covers various ecosystems such as coastal lagoons, marine waters and xerophytic vegetation, it is visited by up to 260,000
people visit per year. A GIS, using a base map compiled from 1:25,000 maps was developed. Natural cover was mapped from LANDSAT
VII TM images, orthophotomaps and aerial photographs. Spatial use data was collected by field GPS location of any use inside
the park during 2 years. Thematic vector maps for each land cover, zoning area, and observed use were created. Maps of zoning
and uses were overlapped and new maps for each use-zoning crossing were created. The park contain nine different zoning areas
wherein 28 different uses were identified, 18 of them were direct consumptive and non-consumptive uses, occurring on 54% of
the park. Tourism transit areas were the most used zones. More than 5,000 people use the park during a high season day. Superimposition
of zoning maps with actual use data produced 13 uses taking place in not allowed areas (46% of park area). Most common prohibited
use was commercial net fishing, occurring in nearly 40% of the park area. Therefore, identifying human use conflicts and its
geographical distribution is a key issue to improve Management Plans as well as identifying hot sites. The GPS-GIS methodology
presented here allows Park Rangers to select those areas which could benefit from enhanced supervision with the limited budget
available. 相似文献