Shivambu Tinyiko C, Shivambu Ndivhuwo, Nelufule Takalani, Moshobane Moleseng C, Seoraj-Pillai Nimmi, Nangammbi Tshifhiwa C
Faculty of Science, Department of Nature Conservation, Tshwane University of Technology, Private Bag X680, Pretoria 0001, South Africa.
South African National Biodiversity Institute, Pretoria National Botanical Garden, 2 Cussonia Avenue, Brummeria, Silverton 0184, South Africa.
Biology (Basel). 2024 Jun 28;13(7):483. doi: 10.3390/biology13070483.
The global trade of non-native pet birds has increased in recent decades, and this has accelerated the introduction of invasive birds in the wild. This study employed ensemble species distribution modelling (eSDM) to assess potential habitat suitability and environmental predictor variables influencing the potential distribution of non-native pet bird species reported lost and sighted in South Africa. We used data and information on lost and found pet birds from previous studies to establish and describe scenarios of how pet birds may transition from captivity to the wild. Our study revealed that models fitted and performed well in predicting the suitability for African grey (), Budgerigar (), Cockatiel (), Green-cheeked conure (), Monk parakeet (), and Rose-ringed parakeet (Psittacula krameri), with the mean weighted AUC and TSS values greater than 0.765. The predicted habitat suitability differed among species, with the suitability threshold indicating that between 61% and 87% of areas were predicted as suitable. Species with greater suitability included the African grey, Cockatiel, and Rose-ringed parakeet, which demonstrated significant overlap between their habitat suitability and reported lost cases. Human footprint, bioclimatic variables, and vegetation indices largely influenced predictive habitat suitability. The pathway scenario showed the key mechanisms driving the transition of pet birds from captivity to the wild, including the role of pet owners, animal rescues, adoption practices, and environmental suitability. Our study found that urban landscapes, which are heavily populated, are at high risk of potential invasion by pet birds. Thus, implementing a thorough surveillance survey is crucial for monitoring and evaluating the establishment potential of pet species not yet reported in the wild.
近几十年来,非本地宠物鸟的全球贸易有所增加,这加速了野生入侵鸟类的引入。本研究采用集合物种分布模型(eSDM)来评估潜在栖息地适宜性以及影响在南非报告走失和发现的非本地宠物鸟物种潜在分布的环境预测变量。我们利用先前研究中关于走失和寻回宠物鸟的数据和信息,来建立和描述宠物鸟如何从圈养环境过渡到野外环境的情景。我们的研究表明,所拟合的模型在预测非洲灰鹦鹉()、虎皮鹦鹉()、鸡尾鹦鹉()、绿颊锥尾鹦鹉()、和尚鹦鹉()和玫瑰环鹦鹉(Psittacula krameri)的适宜性方面表现良好,平均加权AUC和TSS值大于0.765。预测的栖息地适宜性因物种而异,适宜性阈值表明61%至87%的区域被预测为适宜。适宜性较高的物种包括非洲灰鹦鹉、鸡尾鹦鹉和玫瑰环鹦鹉,它们的栖息地适宜性与报告的走失案例之间存在显著重叠。人类足迹、生物气候变量和植被指数在很大程度上影响了预测的栖息地适宜性。路径情景展示了推动宠物鸟从圈养过渡到野外的关键机制,包括宠物主人、动物救援、收养行为和环境适宜性的作用。我们的研究发现,人口密集的城市景观面临宠物鸟潜在入侵的高风险。因此,开展全面的监测调查对于监测和评估尚未在野外报告的宠物物种的定殖潜力至关重要。