Great bustard is one of the enelangered species in China. It breeds in China. The breeding area is not complete, but scattered, which is from the northeast of Neimenggu grassland to the sand land of Hulunbeier. This b...Great bustard is one of the enelangered species in China. It breeds in China. The breeding area is not complete, but scattered, which is from the northeast of Neimenggu grassland to the sand land of Hulunbeier. This breeding areas are isolated by Daxing’an Mountain, which are Neimeng, Songnen Plain and Kerqin sand land. The total area is about 7810 km2. The estimated total number of Great Bustands in the Northeast area of China is 377 birds.展开更多
Twelve indices of blood for great bustard were determined by using JT-TR blood cell analyzer. Theyincluded white cell number, red cell number, hemoglobin density, hematocrit. mean volume of red cell, mean hemoglobin o...Twelve indices of blood for great bustard were determined by using JT-TR blood cell analyzer. Theyincluded white cell number, red cell number, hemoglobin density, hematocrit. mean volume of red cell, mean hemoglobin of red cell, mean hemoglobin density of red cell, distribution width of red cell, platelet number, platelethematocrit, mean platelet volume, and platelet distribution width. The analysis data indicated that the blood ofgreat bustard have strong function of taking oxygen. The current breeding condition is fine and suitable for thephysiological requirements of great bustard.展开更多
A trial of artificial incubation to great bustard (Otis tarda ) egg was conducted from 1995 to 1997.Among the 45 collected eggs, 28 eggs were fertilized and 26 hatched, with fertilizing rate 62.2% and incubation rate ...A trial of artificial incubation to great bustard (Otis tarda ) egg was conducted from 1995 to 1997.Among the 45 collected eggs, 28 eggs were fertilized and 26 hatched, with fertilizing rate 62.2% and incubation rate 92.85%. The mean Incubation-days for great bustard egg was confirmed as 24.4(21-28 days) with the formula for caculating fresh egg weight (W=KwLB2) and that for counting the incubated days by parents birds in field (ld=24(w-y)/0.144y). The proper incubation temperature and relative humidity were 36-37.8℃ and 50-65%.respectively. The egg weights and egg size average 130.45 g and 77.411.42 × 55.5 ± 0.65-mm respectively. The total weight loss of egg was 18.38±0.646 g, daily weight loss 0.748±0.071g in the incubation time. with a weight loss rate of 13.6±1 .02%. A linear regression equation to discribe the relationship between the egg weight and incubation days, was built, y=130.73-0.619± (x--incubation day, y--egg weight). r=-0.978. Twenty-eight hours were nassassary for great bustard embryo to complete the fledging when the were put in gas room. The mean weight of fledglings was 86.3±3.29 g(n=26).展开更多
There are two subspecies of Great Bustards in China : Otis tarda tarda, a rare resident of in Kashi region,Tianshan Mountains and Turpan region in xinjiang Uygur Autonomous Region in northwestern China. The other is O...There are two subspecies of Great Bustards in China : Otis tarda tarda, a rare resident of in Kashi region,Tianshan Mountains and Turpan region in xinjiang Uygur Autonomous Region in northwestern China. The other is O. t. dybowskii found in northeastern China. In 840 km2 survey area 150 Great Bustards were found. The average density was 0.81birds/ km2. Reasons for the decline of Great Bustard were analyzed. Conservation measures for the Great Bustards are recommended.展开更多
Instantaneous scanning and focal animal sampling methods were used to record the behaviors of nine wild Great Bustards(Otis tarda)and their time budget from November 2004 to January 2005.The results indicated that for...Instantaneous scanning and focal animal sampling methods were used to record the behaviors of nine wild Great Bustards(Otis tarda)and their time budget from November 2004 to January 2005.The results indicated that foraging and resting time accounted for as high as 46.40%and 39.12%,respectively,while the rest of the behaviors,such as walking,alerting,preening and flying,only shared 6.83%,2.03%,2.64%and 1.84%,respectively.There were significant differences in foraging time,alert time and walking time between males and females(P<0.05).The preening and flying were closely related to males(Pearson’s correlation,r=0.932),and it was similar for resting and walking in females(Pearson’s correlation,r=0.716).Resting occurred mainly at dawn and dusk,and foraging appeared mostly from 9:30 to 11:30 and from 14:30 to 16:30.Non-parameter testing demonstrates that time budget among resting,flying and others in two temperature intervals(>−5 and℃≤−5)℃was significantly different.展开更多
Great Bustards(Otis tarda dybowskii)are one of the world’s heaviest flying birds,occupying grassland habitats in Eastern Asia.Our study is located at the most eastern Chinese wintering site in Cangzhou,Hebei Province...Great Bustards(Otis tarda dybowskii)are one of the world’s heaviest flying birds,occupying grassland habitats in Eastern Asia.Our study is located at the most eastern Chinese wintering site in Cangzhou,Hebei Province,where approximately 100 individuals are concentrated in a small area(17.53 km2).Solid information is still lacking about the wintering areas for this subspecies in its eastern range and specifically for China.The study area consists of intensely used farmland in proximity to humans and is lacking conservation areas and wild,open fields.Here,we present our results from two years of field data collection on habitat selection.We choose a machine learning model approach based on a rapid assessment methodology for the winter habitat of the Great Bustard.It is based on a spatial analysis of the best available environmental data,which were collected relatively quickly.These relatively new methods in ecology are based on an ensemble of decision trees and include algorithms such as TreeNet,Random Forest and CART used in parallel.In this study,we collected bustard droppings(presence only)from 48 locations between December 2011 and January 2012 and used the sites as training data.Droppings from 23 locations were collected in November 2012,and those sites were used as test data.We used eight environmental variables as predictor layers for the response variable of bustard presence/availability.We employed a Geographic Information System(ArcGIS 10.1and Geospatial Modelling Environment)and Google Earth.Compared with the other three models,we found that predictions from Random Forest obtained a significant difference between presence and absence.According to this model,the three most important factors for wintering Great Bustards are distance to residential area,distance to water pools,and farmland area.Our model shows that wintering Great Bustards prefer locations that are over 400 m away from residential areas,within 900 m of water pools and on areas of farmland smaller than 0.5 km2.We think we can apply our analysis to Great Bustard management in our study area and the adjacent region and that this work sets a baseline for future research.展开更多
文摘Great bustard is one of the enelangered species in China. It breeds in China. The breeding area is not complete, but scattered, which is from the northeast of Neimenggu grassland to the sand land of Hulunbeier. This breeding areas are isolated by Daxing’an Mountain, which are Neimeng, Songnen Plain and Kerqin sand land. The total area is about 7810 km2. The estimated total number of Great Bustands in the Northeast area of China is 377 birds.
文摘Twelve indices of blood for great bustard were determined by using JT-TR blood cell analyzer. Theyincluded white cell number, red cell number, hemoglobin density, hematocrit. mean volume of red cell, mean hemoglobin of red cell, mean hemoglobin density of red cell, distribution width of red cell, platelet number, platelethematocrit, mean platelet volume, and platelet distribution width. The analysis data indicated that the blood ofgreat bustard have strong function of taking oxygen. The current breeding condition is fine and suitable for thephysiological requirements of great bustard.
文摘A trial of artificial incubation to great bustard (Otis tarda ) egg was conducted from 1995 to 1997.Among the 45 collected eggs, 28 eggs were fertilized and 26 hatched, with fertilizing rate 62.2% and incubation rate 92.85%. The mean Incubation-days for great bustard egg was confirmed as 24.4(21-28 days) with the formula for caculating fresh egg weight (W=KwLB2) and that for counting the incubated days by parents birds in field (ld=24(w-y)/0.144y). The proper incubation temperature and relative humidity were 36-37.8℃ and 50-65%.respectively. The egg weights and egg size average 130.45 g and 77.411.42 × 55.5 ± 0.65-mm respectively. The total weight loss of egg was 18.38±0.646 g, daily weight loss 0.748±0.071g in the incubation time. with a weight loss rate of 13.6±1 .02%. A linear regression equation to discribe the relationship between the egg weight and incubation days, was built, y=130.73-0.619± (x--incubation day, y--egg weight). r=-0.978. Twenty-eight hours were nassassary for great bustard embryo to complete the fledging when the were put in gas room. The mean weight of fledglings was 86.3±3.29 g(n=26).
文摘There are two subspecies of Great Bustards in China : Otis tarda tarda, a rare resident of in Kashi region,Tianshan Mountains and Turpan region in xinjiang Uygur Autonomous Region in northwestern China. The other is O. t. dybowskii found in northeastern China. In 840 km2 survey area 150 Great Bustards were found. The average density was 0.81birds/ km2. Reasons for the decline of Great Bustard were analyzed. Conservation measures for the Great Bustards are recommended.
文摘Instantaneous scanning and focal animal sampling methods were used to record the behaviors of nine wild Great Bustards(Otis tarda)and their time budget from November 2004 to January 2005.The results indicated that foraging and resting time accounted for as high as 46.40%and 39.12%,respectively,while the rest of the behaviors,such as walking,alerting,preening and flying,only shared 6.83%,2.03%,2.64%and 1.84%,respectively.There were significant differences in foraging time,alert time and walking time between males and females(P<0.05).The preening and flying were closely related to males(Pearson’s correlation,r=0.932),and it was similar for resting and walking in females(Pearson’s correlation,r=0.716).Resting occurred mainly at dawn and dusk,and foraging appeared mostly from 9:30 to 11:30 and from 14:30 to 16:30.Non-parameter testing demonstrates that time budget among resting,flying and others in two temperature intervals(>−5 and℃≤−5)℃was significantly different.
基金supported by the National Forestry Bureau of China(1105-LYSJWT-113)
文摘Great Bustards(Otis tarda dybowskii)are one of the world’s heaviest flying birds,occupying grassland habitats in Eastern Asia.Our study is located at the most eastern Chinese wintering site in Cangzhou,Hebei Province,where approximately 100 individuals are concentrated in a small area(17.53 km2).Solid information is still lacking about the wintering areas for this subspecies in its eastern range and specifically for China.The study area consists of intensely used farmland in proximity to humans and is lacking conservation areas and wild,open fields.Here,we present our results from two years of field data collection on habitat selection.We choose a machine learning model approach based on a rapid assessment methodology for the winter habitat of the Great Bustard.It is based on a spatial analysis of the best available environmental data,which were collected relatively quickly.These relatively new methods in ecology are based on an ensemble of decision trees and include algorithms such as TreeNet,Random Forest and CART used in parallel.In this study,we collected bustard droppings(presence only)from 48 locations between December 2011 and January 2012 and used the sites as training data.Droppings from 23 locations were collected in November 2012,and those sites were used as test data.We used eight environmental variables as predictor layers for the response variable of bustard presence/availability.We employed a Geographic Information System(ArcGIS 10.1and Geospatial Modelling Environment)and Google Earth.Compared with the other three models,we found that predictions from Random Forest obtained a significant difference between presence and absence.According to this model,the three most important factors for wintering Great Bustards are distance to residential area,distance to water pools,and farmland area.Our model shows that wintering Great Bustards prefer locations that are over 400 m away from residential areas,within 900 m of water pools and on areas of farmland smaller than 0.5 km2.We think we can apply our analysis to Great Bustard management in our study area and the adjacent region and that this work sets a baseline for future research.
