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Multiple data sources and freely available code is critical when investigating species distributions and diversity: a response to Knouft (2018)
Author(s) -
Dallas Tad,
Decker Robin R,
Hastings Alan
Publication year - 2018
Publication title -
ecology letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.852
H-Index - 265
eISSN - 1461-0248
pISSN - 1461-023X
DOI - 10.1111/ele.13105
Subject(s) - biodiversity , diversity (politics) , code (set theory) , ecology , global biodiversity , geography , data science , environmental resource management , biology , computer science , environmental science , sociology , set (abstract data type) , anthropology , programming language
A recent comment from Knouft ([Knouft, J.H., 2018]) has suggested that our original article (Dallas et al . [Dallas, T., 2017]) was an ‘inappropriate application of biodiversity data’. Here, we affirm our results, and address the more general point about biodiversity data use.