Details

Autor(en) / Beteiligte

• Carvalho, Raquel L.
• Resende, Angelica F.
• Alves-Martins, Fernanda
• Juen, Leandro
• Phillips, Oliver L.
• Shutt, Jack
• Nunes, Cassio A.
• Stegmann, Lis
• Baccaro, Fabricio B.
• Lees, Alexander C.
• Isaac, Victoria
• Ferreira, Joice
• Andrade, Ana Luiza
• Olivo Neto, Antonio Miguel
• Guimaraes, Aretha Franklin
• Williamson, Bruce
• Rutt, Cameron L.
• Brocardo, Carlos Rodrigo
• Benetti, Cesar João
• Santos, Cleverson Rannieri Meira dos
• Gris, Darlene
• Edwards, David P.
• Bastos, Douglas
• Daly, Douglas
• Arenas, Edith Rosario Clemente
• Santos, Ednaira Alencar dos
• Görgens, Eric Bastos
• Householder, Ethan
• Roque, Fabio de Oliveira
• Moreira, Felipe F.F.
• Mendonça, Fernando P.
• Neto, Francisco Valente
• Salles, Frederico Falcão
• Damasco, Gabriel
• Jardim, Gabriela Abrantes
• Lima, Gisiane Rodrigues
• Cabette, Helena Soares Ramos
• Wilker, Icaro
• Gonçalves, Inês Correa
• Miranda, Ires Paula de Andrade
• Lasky, Jesse R.
• Costa, Jessica Gomes
• Silva Brito, Joás
• Mendes Aguiar, Jonas José
• Barroso, Jorcely G.
• Rechetelo, Juliana
• Stropp, Juliana
• Carvalho, Karine Santana
• Maia, Laís Ferreira
• Cavalheiro, Larissa
• Ferreira, Leandro Valle
• Reis, Leonardo Pequeno
• Vieira, Lisandro
• Brulinger, Luciane Ferreira Barbosa
• Naka, Luciano Nicolas
• Rosalino, Luís Miguel do Carmo
• Borges, Luiz Henrique Medeiros
• Carim, Marcelo de Jesus Veiga
• Monteiro, Marcília Gabriella Tavares
• Vital, Marcos José Salgado
• Silveira, Marcos
• Lopes, Maria Aparecida
• Anacléto, Maria José Pinheiro
• Martins, Maria Pires
• Piedade, Maria Teresa Fernandez
• Irume, Mariana Victória
• Freitas, Marina Guimarães
• Ferreira, Nelson
• Campos, Nubia
• Miranda, Patrícia Nakayama
• Souto, Paula
• Barni, Paulo Eduardo
• i Silva, Pedro Giovân da
• Camargo, Plínio Barbosa de
• Boldrini, Rafael
• Salomão, Rafael P.
• Mendes, Raimundo N.G.
• Ligeiro, Raphael
• Barbosa, Reinaldo Imbrozio
• Perdiz, Ricardo de Oliveira
• Vicente, Ricardo Eduardo
• Koroiva, Ricardo
• da Silva, Rogério Rosa
• Nienow, Samuel
• Triana, Stefania Pinzón
• André, Thiago
• Laranjeiras, Thiago Orsi
• Mendes, Thiago Pereira
• Krolow, Tiago Kütter
• Begot, Tiago Octavio
• Giarrizzo, Tommaso
• Ribeiro, Vanessa Soares
• Oliveira, Victor Hugo Fonseca
• Landeiro, Victor Lemes
• Firmino, Viviane
• Almeida, Wanessa Rejane de
• Milliken, William
• Shimabukuro, Yosio Edemir
• Shimano, Yulie

Titel

Pervasive gaps in Amazonian ecological research

Ist Teil von

• Current biology, 2023-08, Vol.33 (16), p.3495-3504.e4

Ort / Verlag

England: Elsevier Inc

Erscheinungsjahr

2023

Link zum Volltext

Quelle

Elsevier ScienceDirect Journals Complete

Beschreibungen/Notizen

• Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%–18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost. [Display omitted] •Ecological metadata were compiled for 7,694 sites across the Brazilian Amazon•Accessibility and proximity to research facilities influenced research probability•Knowledge gaps are greater in uplands than in wetlands and aquatic habitats•Undersampled areas overlap predicted hotspots of climate change and deforestation Carvalho et al. map the locations and drivers of ecological research across the Brazilian Amazon. Research facilities and accessibility were strong predictors of research location. Areas with the lowest probability (<0.1%) of research covered about 27.3%, 17.3%, and 54.1% of aquatic, wetland, and upland habitats, respectively.