Open-source intelligence for conservation biology

被引:2
|
作者
Katzner, Todd [1 ]
Thomason, Eve [2 ]
Huhmann, Karrin [3 ]
Conkling, Tara [1 ]
Concepcion, Camille [4 ]
Slabe, Vince [3 ]
Poessel, Sharon [1 ]
机构
[1] US Geol Survey, Forest & Rangeland Ecosyst Sci Ctr, 230 North Collins Rd, Boise, ID 83702 USA
[2] Boise State Univ, Raptor Res Ctr, Boise, ID 83725 USA
[3] Conservat Sci Global, West Cape May, NJ USA
[4] Hawk Mt Sanctuary, Kempton, PA USA
关键词
big data; citizen science; environmental crime; OSINT; wildlife trade; SOCIAL MEDIA; WILDLIFE;
D O I
10.1111/cobi.13988
中图分类号
X176 [生物多样性保护];
学科分类号
090705 ;
摘要
Open-source intelligence (OSINT) evolved in spy agencies but now is rapidly changing many fields of study, from anthropology to zoology. Despite the fact that OSINT occasionally is used in conservation biology, there is little recognition that some tools and frameworks used by conservation professionals are drawn from this well-established field. In conservation biology, OSINT is sometimes used to evaluate wildlife crime, human-wildlife and human-environment interactions, animal behavior, and questions of distribution and abundance. Recognizing the conceptual foundations of the field would allow expansion of conservation biology, not only in the areas noted above, but also, for example, in study of habitat use, habitat change, and animal behavior. This recognition would also provide frameworks for conceptual advancement, especially in terms of data and privacy management. Failure to recognize the underpinnings of OSINT tools in conservation biology harms the field because it limits how research is framed, thought about, and implemented. Likewise, taking an OSINT perspective to conservation problems, rather than simply thinking in terms of big data, can enrich the field, expand science, and increase knowledge and understanding of biology and biodiversity.
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页数:9
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