气候变化领域集成服务门户(CCPortal): Defining humpback whale (Megaptera novaeangliae) potential distribution in the Great Barrier Reef Marine Park: a two-way approach

CCPortal

DOI	10.1071/PC23032
	Defining humpback whale (Megaptera novaeangliae) potential distribution in the Great Barrier Reef Marine Park: a two-way approach
	Fariello, Consuelo M.; Meynecke, Jan-Olaf; de Bie, Jasper
发表日期	2024
ISSN	1038-2097
EISSN	2204-4604
起始页码	30
结束页码	3
卷号	30 期号:3
英文摘要	Context Humpback whale (Megaptera novaeangliae) populations have been recovering from whaling but are now facing threats from changing food availability due to ocean warming and changes in habitat suitability. There is uncertainty over whether opportunistic observations can produce reliable species distribution models (SDMs) and adequately inform conservation management. Aims To compare SDMs for humpback whales in the Great Barrier Reef Marine Park based on different opportunistic sightings datasets and evaluate the impact different sources of opportunistic data have on our understanding of humpback whale habitat relationships. Methods Maximum entropy modelling (Maxent) was used to create predictive models for humpback whale distributions. Sighting data from citizen science and opportunistic observations from various other databases were used. Models were compared to evaluate disparities and predictive capabilities. Key results Distinct environmental variables [bathymetry, distance to the coast] were identified as the most relevant for each SDM. The best-fitting model diverged from an existing model, with humpback whale distribution predicted to be closer to shore. Areas with the highest habitat suitability were concentrated in the north-eastern coastal region across all models developed in this study. Conclusions This study demonstrates that, with careful application and consideration, citizen science data can enhance our understanding of humpback whale distributions and contribute to their conservation. The research underlines the importance of embracing diverse data sources in SDM, despite the challenges posed by opportunistic data. Implications The study provides valuable insights for conservation management and informs strategies to protect humpback whale populations in changing environmental conditions.
英文关键词	citizen science; climate change; GBRMP; humpback whale; Maxent; Megaptera novaeangliae; opportunistic data; SDM; species distribution model
语种	英语
WOS研究方向	Biodiversity & Conservation ; Environmental Sciences & Ecology
WOS类目	Biodiversity Conservation ; Ecology
WOS记录号	WOS:001229779600001
来源期刊	PACIFIC CONSERVATION BIOLOGY
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/300456
作者单位	Griffith University; Griffith University - Gold Coast Campus; Griffith University; Griffith University - Gold Coast Campus; Griffith University; Griffith University - Gold Coast Campus
推荐引用方式 GB/T 7714	Fariello, Consuelo M.,Meynecke, Jan-Olaf,de Bie, Jasper. Defining humpback whale (Megaptera novaeangliae) potential distribution in the Great Barrier Reef Marine Park: a two-way approach[J],2024,30(3).
APA	Fariello, Consuelo M.,Meynecke, Jan-Olaf,&de Bie, Jasper.(2024).Defining humpback whale (Megaptera novaeangliae) potential distribution in the Great Barrier Reef Marine Park: a two-way approach.PACIFIC CONSERVATION BIOLOGY,30(3).
MLA	Fariello, Consuelo M.,et al."Defining humpback whale (Megaptera novaeangliae) potential distribution in the Great Barrier Reef Marine Park: a two-way approach".PACIFIC CONSERVATION BIOLOGY 30.3(2024).