Post‐release dispersal and breeding site suitability of reintroduced populations of the Crested Ibis in Shaanxi Province, China

Wang, Fang; Li, Min; Zhang, Yashuai; Zhao, Wen-Ai; Liu, Dan-Ni; ZHANG, YAZU; Zhang, Hu; Ye, Xinping; Yu, Xiaoping

doi:10.1111/rec.13383

Cited by 7 publications

(5 citation statements)

References 37 publications

(45 reference statements)

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“…We then used 75% of the leopard coordinate data for training operation and 25% of the data for verification, repeating this 10 times [ 41 ]. The simulation test results were tested by the ROC curve and the evaluation criteria: the area surrounded by the ROC curve and abscissa, that is, the AUC value, is 0–1, and the AUC value is closer to 1, indicating that the more significant the correlation between the environmental variables and the distribution model, the better the prediction result [ 42 , 43 , 44 ]. The MAXENT model can generate the ROC curve and the corresponding AUC value, extract the corresponding value, and redraw the image in IBM SPSS Statistics 26.…”

Section: Methodsmentioning

confidence: 99%

Effects of Climate Change on the Habitat of the Leopard (Panthera pardus) in the Liupanshan National Nature Reserve of China

Zeng

Shi

et al. 2022

Animals

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Climate change affects animal populations by affecting their habitats. The leopard population has significantly decreased due to climate change and human disturbance. We studied the impact of climate change on leopard habitats using infrared camera technology in the Liupanshan National Nature Reserve of Jingyuan County, Ningxia Hui Autonomous Region, China, from July 2017 to October 2019. We captured 25 leopard distribution points over 47,460 camera working days. We used the MAXENT model to predict and analyze the habitat. We studied the leopard’s suitable habitat area and distribution area under different geographical scales in the reserve. Changes in habitat area of leopards under the rcp2.6, rcp4.5, and rcp8.5 climate models in Guyuan in 2050 were also studied. We conclude that the current main factors affecting suitable leopard habitat area were vegetation cover and human disturbance. The most critical factor affecting future suitable habitat area is rainfall. Under the three climate models, the habitat area of the leopard decreased gradually because of an increase in carbon dioxide concentration. Through the prediction of the leopard’s distribution area in the Liupanshan Nature Reserve, we evaluated the scientific nature of the reserve, which is helpful for the restoration and protection of the wild leopard population.

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Section: Methodsmentioning

confidence: 99%

Effects of Climate Change on the Habitat of the Leopard (Panthera pardus) in the Liupanshan National Nature Reserve of China

Zeng

Shi

et al. 2022

Animals

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“…In May 2007, for the first time, a Crested Ibis reintroduction project was launched in Ningshan County in Shaanxi Province, with a total of 56 cage‐bred individuals in four successive releases (Wang et al 2017). The specific information about these four releases was previously reported in detail (Yu et al 2015; Wang et al 2021).…”

Section: Methodsmentioning

confidence: 99%

The impact of predation on population dynamics of the Crested Ibis in the Qinling Mountains, Shaanxi, central China

Jiang

Tong

et al. 2022

Restoration Ecology

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Predation is one of the most important extrinsic factors acting upon animal populations and is a strong selective force in the evolution of form and function. Understanding the impact of predation on bird population dynamics is crucial for understanding the predation pressure of bird populations and implementing conservation strategies, especially for threatened or endemic bird species. In this paper, we sorted the predation events in the wild Crested Ibis population in Yangxian County, Shaanxi Province, from 1981 to 2021 and in the reintroduced Crested Ibis population in Ningshan from 2008 to 2021. With the use of age-classified Leslie matrix models to simulate Crested Ibis populations under different predation pressures, the random population growth rate was estimated, and the impact of predation on population dynamics was evaluated. The results showed that snakes and raptors were the main predators of Crested Ibis in the wild and reintroduced populations, and the number of dead individuals was unevenly distributed within the three age classes in both the wild population (df = 2, χ 2 = 13.236, p < 0.05) and reintroduced population (df = 2, χ 2 = 49.273, p < 0.01). Predation caused a reduction in the potential annual population growth rate of 2.37% (confidence interval [CI]: 2.29-2.45) in the wild population and 2.88% (CI: 2.82-2.94) in the reintroduced population. The overall average growth rates of the wild and reintroduced populations derived from population model simulations were 12.84 and 18.13%, respectively, which suggested that the wild and reintroduced populations was increasing under the current predation pressure and that the impact of predation on the population was acceptable and sustainable.

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“…Since the 20th century, numerous institutes have carried out continuous protection activities and research on the crested ibis [ 3 , 4 , 5 , 6 , 7 ]. Through joint efforts, this endangered wild bird species [ 8 , 9 ] has been successfully protected, with a thousand-fold increase in its population. However, with the population growth and limited habitat capacity, the reproductive efficiency of the crested ibis in the core nesting area has been greatly affected [ 10 , 11 , 12 , 13 ].…”

Section: Introductionmentioning

confidence: 99%

An Automatic Identification Method of Crested Ibis (Nipponia nippon) Habitat Based on Spatiotemporal Density Detection

Jiang

Yang²,

Liu³

et al. 2022

Animals

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To address the current challenges of the heavy workload, time-consuming nature and labor-intensiveness involved in existing crested ibis’s (Nipponia nipponTemminck, 1835) habitat identification approaches, this paper proposes an automatic habitat identification method based on spatiotemporal density detection. With consideration of the characteristics of the crested ibis’s trajectory data, such as aggregation, repeatability, and uncertainty, this method achieves detecting the crested ibis’s stopping points by using the spatial characteristics of the trajectory data. On this basis, an improved spatiotemporal clustering-based DBSCAN method is proposed in this paper, incorporating temporal characteristics of the trajectory data. By combining the spatial and temporal features, the proposed method is able to accurately identify the roosting and foraging sites among the crested ibis’s stopping points. Supported by remote sensing images and field investigations, it was found that the method proposed in this paper has a good clustering effect and can effectively identify the crested ibis’s foraging sites and overnight roosting areas. Specifically, the woodland, farmland, and river areas are the common foraging sites for the crested ibis, while the woodland with large trees is their common overnight site. Therefore, the method proposed in this paper can provide technical support for identifying and protecting the crested ibis’s habitats.

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Post‐release dispersal and breeding site suitability of reintroduced populations of the Crested Ibis in Shaanxi Province, China

Cited by 7 publications

References 37 publications

Effects of Climate Change on the Habitat of the Leopard (Panthera pardus) in the Liupanshan National Nature Reserve of China

Effects of Climate Change on the Habitat of the Leopard (Panthera pardus) in the Liupanshan National Nature Reserve of China

The impact of predation on population dynamics of the Crested Ibis in the Qinling Mountains, Shaanxi, central China

An Automatic Identification Method of Crested Ibis (Nipponia nippon) Habitat Based on Spatiotemporal Density Detection

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