Using Earth Observation to Monitor ­Species-­Specific Habitat Change in the Greater Kejimkujik National Park Region of Canada

Author(s):  
Paul Zorn ◽  
Darien Ure ◽  
Rajeev Sharma ◽  
Sally O’Grady
2003 ◽  
Vol 32 (6) ◽  
pp. 2085-2094 ◽  
Author(s):  
Steven D. Siciliano ◽  
Al Sangster ◽  
Chris J. Daughney ◽  
Lisa Loseto ◽  
James J. Germida ◽  
...  

2016 ◽  
Author(s):  
Xiaohong Xu ◽  
Yanying Liao ◽  
Irene Cheng ◽  
Leiming Zhang

Abstract. Source apportionment analysis was conducted with Positive Matrix Factorization (PMF) and Principal Component Analysis (PCA) methods using concentrations of speciated mercury (Hg), i.e., gaseous elemental mercury (GEM), gaseous oxidized mercury (GOM), and particulate-bound mercury (PBM), and other air pollutants collected at Kejimkujik National Park, Nova Scotia, Canada in 2009 and 2010. The results were largely consistent between the two years for both methods. The same four source factors were identified in each year using PMF method. In both years, factor Photochemistry and Re-emission had the largest contributions to atmospheric Hg, while the contributions of Combustion Emission and Industrial Sulfur varied slightly between the two years. Four components were extracted with air pollutants only in each year using PCA method. Consistency between the results of PMF and PCA include, 1) most or all PMF factors overlapped with PCA components, 2) both methods suggest strong impact of photochemistry, but little association between ambient Hg and sea salt, 3) shifting of PMF source profiles and source contributions from one year to another was echoed in PCA. Inclusion of meteorological parameters led to identification of an additional component – Hg Wet Deposition in PCA, while it did not affect the identification of other components. The PMF model performance was comparable in 2009 and 2010. Among the three Hg forms, the agreement between predicted and observed annual mean concentrations were excellent for GEM, very good for PBM and acceptable for GOM. However, on daily basis, the agreement was very good for GEM, but poor for GOM and PBM. Sensitivity tests suggest that increasing sample size by imputation is not effective in improving model performance, while reducing the fraction of concentrations below method detection limit, by either scaling GOM and PBM to higher concentrations or combining them to reactive mercury, is effective. Most of the data treatment options considered had little impact on the source identification/contribution.


Oryx ◽  
1999 ◽  
Vol 33 (4) ◽  
pp. 323-331 ◽  
Author(s):  
Magdalena Bermejo

AbstractA survey of diurnal primate populations was carried out in Odzala National Park, Republic of the Congo, over 3 months in 1994 and 2 months in 1995. The park contains a high diversity and species-specific abundance of primates, and has the highest number of diurnal primates (10 species) in the forest block of Central Africa. Eight species of monkey: greater whitenosed monkey Cercopithecus nictitans, moustached monkey Cercopithecus cephus, crowned guenon Cercopithecus pogonias, De Brazza's monkey Cercopithecus neglectus, talapoin Miopithecus talapoin, white-cheeked mangabey Cercocebus albigena, agile mangabey Cercocebus galeritus and guereza Colobus guereza, as well as gorilla Gorilla g. gorilla and chimpanzee Pan t. troglodytes were sighted in the survey. Monkey species richness was highest in dense inundated forest and thicket, with all eight species occurring in these habitats, whereas only four species were found in terra firma forest (consisting of the park's two main habitats, open-canopy Marantaceae forest and closed-canopy primary forest). Three of the four species (C. nictitans, C. cephus and C. albigena) present in terra firma forest were most abundant in closed-canopy primary forest (1.4,1.0 and 0.6 groups per km, respectively) while the fourth (C. pogonias) was most abundant in open-canopy Marantaceae forest. Gorilla nests were most abundant in open-canopy Marantaceae forest (12.1 nests per km), while chimpanzee nests were mostly found in closed-canopy primary forest and Marantaceae forest (14 and 12 nests per km, respectively). Odzala has the highest recorded densities of western lowland gorilla (mean = 5.4 individuals per sq km) and chimpanzee (mean = 2.2 individuals per sq km) in Central Africa. The high densities of gorillas and chimpanzees may be a result of the high productivity of the forest and low poaching pressure. Conservation measures to ensure the maintenance of conditions in the area, such as educational programmes, are suggested.


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