M
Márcia Makiko Hirota
Publications - 3
Citations - 3283
Márcia Makiko Hirota is an academic researcher. The author has contributed to research in topics: Biodiversity & Context (language use). The author has an hindex of 3, co-authored 3 publications receiving 2848 citations.
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The Brazilian Atlantic Forest:: how much is left and how is the remaining forest distributed? Implications for conservation
Milton Cezar Ribeiro,Jean Paul Metzger,Alexandre Camargo Martensen,Flávio Jorge Ponzoni,Márcia Makiko Hirota +4 more
TL;DR: In this paper, the authors quantify how much of the Brazilian Atlantic Forest still remains, and analyze its spatial distribution, and suggest some guidelines for conservation: (i) large mature forest fragments should be a conservation priority; (ii) smaller fragments can be managed in order to maintain functionally linked mosaics; (iii) the matrix surrounding fragments, and (iv) restoration actions should be taken, particularly in certain key areas.
Journal ArticleDOI
Hidden destruction of older forests threatens Brazil’s Atlantic Forest and challenges restoration programs
Marcos R. Rosa,Pedro H. S. Brancalion,Renato Crouzeilles,Leandro Reverberi Tambosi,Leandro Reverberi Tambosi,Pedro Ribeiro Piffer,Felipe E.B. Lenti,Márcia Makiko Hirota,Edson Santiami,Jean Paul Metzger +9 more
TL;DR: In this paper, the authors quantified native forest cover dynamics on an annual basis from 1990 to 2017 in Brazil's Atlantic Forest and highlighted the need to include native forest spatiotemporal dynamics into restoration programs to better estimate their expected benefits and unexpected problems.
Journal ArticleDOI
Site Selection for Restoration Planning: A Protocol With Landscape and Legislation Based Alternatives
Verônica Fernandes Gama,Alexandre Camargo Martensen,Flávio Jorge Ponzoni,Márcia Makiko Hirota,Milton Cezar Ribeiro +4 more
TL;DR: A spatially explicit model to support site design and prioritization towards ecological restoration and showed that it is flexible, transparent and repeatable, thus, could help in decision making towards conservation management.