Identifying the habitat use in relation with time between 2 bird species in a wetland can help our understanding of how wintering bird species interact and coexist in the same system.The detection probabilities of Bea...Identifying the habitat use in relation with time between 2 bird species in a wetland can help our understanding of how wintering bird species interact and coexist in the same system.The detection probabilities of Bean Goose(Anser fabalis)and Common Crane(Grus grus)were investigated in Yeyahu Wetland Nature Reserve in Beijing over a whole wintering season.Moreover,how use proportion of each type of habitats varied with time for 2 bird species was explored.In the detection probability study,the method of fixed-radius point was used to observe and infer the presence of species.An occupancy model was applied to deal with the occupancy of a sampling unit,accounting for imperfect detection.In the survey for habitat use,the types of habitats that 2 bird species were occupying were investigated by a line-transect method.Then,the method of multinomial logistic regression was applied to compare the proportions that various types of habitats were used during the days after 2 bird species arrived.The parameters of the detection probability model and multinomial logistic regression equation in a Bayesian framework using Markov Chain Monte Carlo(MCMC)simulations were estimated.The detection probability model was used to predict that Bean Goose arrived in Yeya Lake Wetlands in the middle of October and left at the end of March next year,whereas Common Crane arrived at the end of October and left in the middle of April next year,with almost 5 months coexisting in Yeya Lake Wetlands.The result of the multinomial logistic regression showed Bean Goose gradually decreased use proportion of the water but increased use proportion of grassland over time,and use proportion of farmland remained constant at the beginning but declined later.Common Crane decreased use proportions of the water and grassland but increased that of farmland over time.Common Cranes were more competitive for farmland habitat.It was implied that Bean Goose and Common Crane adjusted and segregated the use proportion of grassland and farmland during their wintering period,which might mitigate interspecific competition and allow for coexistence.It was suggested that adequate habitats of grassland and farmland were probably important requirement enabling habitat segregation and coexistence of Bean Goose and Common Crane and that the overall habitat quality of a wintering site was likely to incorporate the availability of these resources,which provided multiple fitness advantages through secured food supplies and reduced predation risk.Thus,habitats providing adequate food supplies and protection might be unsuitable wintering habitats given an improper agricultural landscape management.Finally,it was proposed that maintenance of habitat diversity and improved farming methods,such as stoping crop residue burning and delaying the time of plowing,could be incorporated in agricultural landscape management plans on habitats of Bean Goose and Common Crane.展开更多
Yeya Lake Wetlands are the largest site for wintering birds in Beijing, where common cranes(Grus grus)winters every year. The land cover of the wetlands has undergone distinct changes from 2006 to 2009 as a result of ...Yeya Lake Wetlands are the largest site for wintering birds in Beijing, where common cranes(Grus grus)winters every year. The land cover of the wetlands has undergone distinct changes from 2006 to 2009 as a result of human activities. In 2006, a survey of the presence/absence of the birds was completed using a line-transect method.A predictive model of habitat suitability was derived by using logistic regression and geographic information system.Then, this habitat suitability model was applied in 2009 under the land use change to test the effectiveness of the model and compare the habitat suitability between 2 years. The negative associations between Grus grus presence and increasing elevation, distances to grassland, to farmland, to bush, and to road suggested a preference for low lying areas in close proximity to food and cover. While the positive associations with distances to buildings and to water suggested a preference for low disturbance areas. The areas of suitable habitats increased from 2006 to 2009, and the spatial model was effective in both years. Habitat preference of Grus grus varied in land use types, therefore habitat suitability dynamics might possibly relate to land use change and thereby be predictable through a geographic information system approach. Although the obtained model had a good fit in both years, it was suspected that if frequent human activities continued, the number of Grus grus might decrease or disappear in this area. According to the field survey, the spacious water area was essential for wintering birds and the risks from loss of lake water and unfavorable crop practices might dramatically change the quality of each type of land use.展开更多
基金Under the auspices of the Natural Science Foundation of Hebei Province(D2019205019)the Department of Education Foundation of Hebei Province(2018GJJG682)the Doctoral Fund of Hebei Normal University(L2018B21)。
文摘Identifying the habitat use in relation with time between 2 bird species in a wetland can help our understanding of how wintering bird species interact and coexist in the same system.The detection probabilities of Bean Goose(Anser fabalis)and Common Crane(Grus grus)were investigated in Yeyahu Wetland Nature Reserve in Beijing over a whole wintering season.Moreover,how use proportion of each type of habitats varied with time for 2 bird species was explored.In the detection probability study,the method of fixed-radius point was used to observe and infer the presence of species.An occupancy model was applied to deal with the occupancy of a sampling unit,accounting for imperfect detection.In the survey for habitat use,the types of habitats that 2 bird species were occupying were investigated by a line-transect method.Then,the method of multinomial logistic regression was applied to compare the proportions that various types of habitats were used during the days after 2 bird species arrived.The parameters of the detection probability model and multinomial logistic regression equation in a Bayesian framework using Markov Chain Monte Carlo(MCMC)simulations were estimated.The detection probability model was used to predict that Bean Goose arrived in Yeya Lake Wetlands in the middle of October and left at the end of March next year,whereas Common Crane arrived at the end of October and left in the middle of April next year,with almost 5 months coexisting in Yeya Lake Wetlands.The result of the multinomial logistic regression showed Bean Goose gradually decreased use proportion of the water but increased use proportion of grassland over time,and use proportion of farmland remained constant at the beginning but declined later.Common Crane decreased use proportions of the water and grassland but increased that of farmland over time.Common Cranes were more competitive for farmland habitat.It was implied that Bean Goose and Common Crane adjusted and segregated the use proportion of grassland and farmland during their wintering period,which might mitigate interspecific competition and allow for coexistence.It was suggested that adequate habitats of grassland and farmland were probably important requirement enabling habitat segregation and coexistence of Bean Goose and Common Crane and that the overall habitat quality of a wintering site was likely to incorporate the availability of these resources,which provided multiple fitness advantages through secured food supplies and reduced predation risk.Thus,habitats providing adequate food supplies and protection might be unsuitable wintering habitats given an improper agricultural landscape management.Finally,it was proposed that maintenance of habitat diversity and improved farming methods,such as stoping crop residue burning and delaying the time of plowing,could be incorporated in agricultural landscape management plans on habitats of Bean Goose and Common Crane.
基金Under the auspices of the Doctoral Fund of Hebei College of Industry and Technology(BZ2018001)the Doctoral Fund of Hebei Normal University(L2018B21)+1 种基金the Project of Research on the Development of Social Sciences in Hebei(201804120401)Key Project of Beijing Municipal Commission of Science and Technology(D08040600580803)
文摘Yeya Lake Wetlands are the largest site for wintering birds in Beijing, where common cranes(Grus grus)winters every year. The land cover of the wetlands has undergone distinct changes from 2006 to 2009 as a result of human activities. In 2006, a survey of the presence/absence of the birds was completed using a line-transect method.A predictive model of habitat suitability was derived by using logistic regression and geographic information system.Then, this habitat suitability model was applied in 2009 under the land use change to test the effectiveness of the model and compare the habitat suitability between 2 years. The negative associations between Grus grus presence and increasing elevation, distances to grassland, to farmland, to bush, and to road suggested a preference for low lying areas in close proximity to food and cover. While the positive associations with distances to buildings and to water suggested a preference for low disturbance areas. The areas of suitable habitats increased from 2006 to 2009, and the spatial model was effective in both years. Habitat preference of Grus grus varied in land use types, therefore habitat suitability dynamics might possibly relate to land use change and thereby be predictable through a geographic information system approach. Although the obtained model had a good fit in both years, it was suspected that if frequent human activities continued, the number of Grus grus might decrease or disappear in this area. According to the field survey, the spacious water area was essential for wintering birds and the risks from loss of lake water and unfavorable crop practices might dramatically change the quality of each type of land use.
