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Registros recuperados : 17 | |
4. | | SALIMON, C. I.; AMARAL, E. F. do; ANDERSON, L. O.; SILVA JUNIOR, C. H. L.; BROWN, I. F. Mudança de cobertura e uso do solo no leste acreano e seus impactos. In: SILVEIRA, M.; GUILHERME, E.; VIEIRA, L. J. S. (org.). Fazenda Experimental Catuaba: o seringal que virou laboratório-vivo em uma paisagem fragmentada no Acre. Rio Branco, AC: Stricto Sensu, 2020. cap. 3, p. 71-90. Biblioteca(s): Embrapa Acre. |
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5. | | FONSECA, M. G.; ANDERSON, L. O. A.; ARAI, E.; SHIMABUKURO, Y. E.; XAUD, H. A. M.; XAUD, M. R.; MADANI, N.; WAGNER, F. H.; ARAGÃO, L. E. O. C. Climatic and anthropogenic drivers of northern Amazon fires during the 2015-2016 El Niño event. Ecological Applications, v. 27, n. 8, p. 2514-2527, 2017. Biblioteca(s): Embrapa Roraima. |
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6. | | PEREIRA JÚNIOR, A. O.; DUBEUX, C. B. S.; SALIANO, O.; D'AGOSTO, M. de A.; LEAL JÚNIOR, I. C.; ASSIS, E. S.; PEREIRA, I. M.; SOARES, J. B.; ALVES, B. J. R.; BUSTAMANTE, M.; ANDERSON, L. O.; FERREIRA, M. E. (coord.). Caminhos para a mitigação das mudanças climática. In: PAINEL BRASILEIRO DE MUDANÇAS CLIMÁTICAS. Mitigação das mudanças climáticas. Rio de Janeiro: UFRJ, 2014. p. 89-388 il. color. Primeiro Relatório da avaliação nacional sobre mudanças climáticas. Biblioteca(s): Embrapa Agrobiologia. |
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7. | | SHIMABUKURO, Y. E.; DUARTE, V.; MOREIRA, M. A.; ARAI, E.; RUDORFF, B. F. T.; ANDERSON, L. O.; ESPIRITO SANTO, F. D. B.; FREITAS, R. M. de; AULICINO, L. C. M.; MAURANO, L. E. P.; ARAGÃO, J. R. L. de. Detecção de áreas desflorestadas em tempo real: conceitos básicos, desenvolvimento e aplicação do projeto deter. São José dos Campos: INPE, 2005. 1 CD-ROM. (INPE-12288-RPE/796). Biblioteca(s): Embrapa Agropecuária Oeste. |
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8. | | ANDERSON, L. O.; BURTON, C.; REIS, J. B. C. dos; PESSÔA, A. C. M.; BETT, P.; CARVALHO, N. S.; SILVA JUNIOR, C. H. L.; WILLIAMS, K.; SELAYA, G.; ARMENTERAS, D.; BILBAO, B. A.; XAUD, H. A. M.; RIVERA-LOMBARDI, R.; FERREIRA, J. N.; ARAGÃO, L. E. O. C.; JONES, C. D.; WILTSHIRE, A. J. An alert systemfor Seasonal Fire probability forecast for South American Protected Areas. Climate Resilience and Sustainability, p. 1-19, 2021. Biblioteca(s): Embrapa Roraima. |
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9. | | ANDERSON, L. O.; BURTON, C.; REIS, J. B. C. dos; PESSÔA, A. C. M.; BETT, P.; CARVALHO, N. S.; SILVA JUNIOR, C. H. L.; WILLIAMS, K.; SELAYA, G.; ARMENTERAS, D.; BILBAO, B. A.; XAUD, H. A. M.; RIVERA-LOMBARDI, R.; FERREIRA, J. N.; ARAGÃO, L. E. O. C.; JONES, C. D.; WILTSHIRE, A. J. An alert systemfor Seasonal Fire probability forecast for South American Protected Areas. Climate Resilience and Sustainability, v. 1, n. 1, p. 1-19, Feb. 2022. Biblioteca(s): Embrapa Amazônia Oriental. |
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10. | | ZARBÁ, L.; PIQUER-RODRÍGUEZ, M.; BOILLAT, S.; LEVERS, C.; GASPARRI, I.; AIDE, T. M.; ÁLVAREZ-BERRÍOS, N. L.; ANDERSON, L. O; ARAOZ, E.; ARIMA, E.; BATISTELLA, M.; CALDERÓN-LOOR, M.; ECHEVERRÍA, C.; GONZALEZ-ROGLICH, M.; JOBBÁGY, E. G.; MATHEZ-STIEFEL, S. L.; RAMIREZ-REYES, C.; PACHECO, A.; VALLEJOS, M.; YOUNG, K. R.; GRAU, R. Mapping and characterizing social-ecological land systems of South America. Ecology and Society: a Journal of Integrative Science for Resilience and Sustainability, v. 27, n. 2, 27, 2022. Biblioteca(s): Embrapa Agricultura Digital. |
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11. | | SILVA, C. V. J.; ARAGÃO, L. E. O. C.; YOUNG, P. J.; ESPIRITO-SANTO, F.; BERENGUER, E.; ANDERSON, L. O.; BRASIL, I.; PONTES-LOPES, A.; FERREIRA, J. N.; WITHEY, K.; FRANÇA, F.; GRAÇA, P. M. L. A.; KIRSTEN, L.; XAUD, H. A. M.; SALIMON, C.; SCARANELLO, M. A.; CASTRO, B.; SEIXAS, M.; FARIAS, R.; BARLOW, J. Estimating the multi-decadal carbon deficit of burned Amazonian forests. Environmental Research Letters, v. 15, Article 114023, 2020. Biblioteca(s): Embrapa Amazônia Oriental; Embrapa Roraima. |
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12. | | SILVA, C. V. J.; ARAGÃO, L. E. O. C.; BARLOW, J.; ESPIRITO-SANTO, F.; YOUNG, P. J.; ANDERSON, L. O.; BERENGUER, E.; BRASIL, I.; BROWN, I. F.; CASTRO, B.; FARIAS, R.; FERREIRA, J. N.; FRANÇA, F.; GRAÇA, P. M. L. A.; KIRSTEN, L.; LOPES, A. P.; SALIMON, C.; SCARANELLO, M. A.; SEIXAS, M.; SOUZA, F. C.; XAUD, H. A. M. Drought-induced Amazonian wildfires instigate a decadal-scale disruption of forest carbon dynamics. Philosophical Transactions of the Royal Society B, v. 373, n. 1760, p. 1-12, Nov. 2018. Biblioteca(s): Embrapa Amazônia Oriental; Embrapa Roraima. |
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13. | | BUSTAMANTE, M. M. C.; ROITMAN, I.; AIDE, T. M.; ALENCAR, A.; ANDERSON, L. O.; ARAGÃO, L.; ASNER, G. P.; BARLOW, J.; BERENGUER, E.; CHAMBERS, J.; COSTA, M. H.; FANIN, T.; FERREIRA, L. G.; FERREIRA, J.; KELLER, M.; MAGNUSSON, W. E.; MORALES-BARQUERO, L.; MORTON, D.; OMETTO, J. P. H. B.; PALACE, M.; PERES, C. A.; SILVÉRIO, D.; TRUMBORE, S.; VIEIRA, I. C. G. Toward an integrated monitoring framework to assess the effects of tropical forest degradation and recovery on carbon stocks and biodiversity. Global Change Biology, v. 22, n. 1, p. 92-109, Jan. 2016. Biblioteca(s): Embrapa Amazônia Oriental; Embrapa Territorial. |
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14. | | HILKER, T.; GALVÃO, L. S.; ARAGÃO, L. E. O. C.; MOURA, Y. M. de; AMARAL, C. H. do; LYAPUSTIN, A. I.; WU, J.; ALBERT, L. P.; FERREIRA, M. J.; ANDERSON, L. O.; SANTOS, V. A. H. F. dos; PROHASKA, N.; TRIBUZY, E.; CERON, J. V. B.; SALESKA, S. R.; WANG, Y.; GONÇALVES, J. F. de C.; OLIVEIRA JUNIOR, R. C. de; RODRIGUES, J. V. F. C.; GARCIA, M. N. Vegetation chlorophyll estimates in the Amazon from multi-angle MODIS observations and canopy reflectance model. International Journal of Applied Earth Observation and Geoinformation, v. 58, p. 278-287, June 2017. Biblioteca(s): Embrapa Amazônia Oriental. |
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15. | | SILVA JUNIOR, C. H. L.; CARVALHO, N. S.; PESSÔA, A. C. M.; REIS, J. B. C.; PONTES-LOPES, A.; DOBLAS, J.; HEINRICH, V.; CAMPANHARO, W.; ALENCAR, A.; SILVA, C.; LAPOLA, D. M.; ARMENTERAS, D.; MATRICARDI, E. A. T.; BERENGUER, E.; CASSOL, H.; NUMATA, I.; HOUSE, J.; FERREIRA, J. N.; BARLOW, J.; GATTI, L.; BRANDO, P.; FEARNSIDE, P. M.; SAATCHI, S.; SILVA, S.; SITCH, S.; AGUIAR, A. P.; SILVA, C. A.; VANCUTSEM, C.; ACHARD, F.; BEUCHLE, R.; SHIMABUKURO, Y. E.; ANDERSON, L. O.; ARAGÃO, L. E. O. C. Amazonian forest degradation must be incorporated into the COP26 agenda. Nature Geoscience, v. 14, p. 634-635, Sep. 2021. Biblioteca(s): Embrapa Amazônia Oriental. |
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16. | | BISPO, P. da C.; PICOLI, M. C. A.; MARIMON, B. S.; MARIMON JUNIOR, B. H.; PERES, C. A.; MENOR, I. O.; SILVA, D. E.; MACHADO, F. de F.; ALENCAR, A. A. C.; ALMEIDA, C. A. de; ANDERSON, L. O.; ARAGÃO, L. E. O. C.; BREUNIG, F. M.; BUSTAMANTE, M.; DALAGNOL, R.; DINIZ-FILHO, J. A. F.; FERREIRA, L. G.; FISCH, G.; GALVÃO, L. S.; GIAROLLA, A.; GOMES, A. R.; MARCO JUNIOR, P. de; KUCK, T. N.; LEHMANN, C. E. R.; LEMES, M. R.; TRIVISAN, D. P.; ZIMBRES, B.; WIEDERKEHR, N. C.; SILVA-JUNIOR, C. H. L. Overlooking vegetation loss outside forests imperils the Brazilian Cerrado and other non-forest biomes. Nature Ecology & Evolution, v. 8, p. 12-13 Jan. 2024. Biblioteca(s): Embrapa Cerrados. |
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17. | | WAGNER, F. H.; HÉRAULT, B.; BONAL, D.; STAHL, C.; ANDERSON, L. O.; BAKER, T. R.; BECKER, G. S.; BEECKMAN, H.; SOUZA, D. B.; BOTOSSO, P. C.; BOWMAN, D. M. J. S.; BRÄUNING, A.; BREDE, B.; BROWN, F. I.; CAMARERO, J. J.; CAMARGO, P. B.; CARDOSO, F. C. G.; CARVALHO, F. A.; CASTRO, W.; CHAGAS, R. K.; CHAVE, J.; CHIDUMAYO, E. N.; CLARK, D. A.; COSTA, F. R. C.; COURALET, C.; MAURICIO, P. H. da S.; DALITZ, H.; CASTRO, V. R. de; MILANI, J. E. de F.; OLIVEIRA, E. C. de; ARRUDA, L. de S.; DEVINEAU, JEAN-LOUIS; DREW, D. M.; DÜNISCH, O.; DURIGAN, G.; ELIFURAHA, E.; FEDELE, F.; FEDELE, L. F.; FIGUEIREDO FILHO, A.; FINGER, C. A. G.; FRANCO, A. C.; FREITAS JÚNIOR, J. L.; GALVÃO, F.; GEBREKIRSTOS, A.; GLINIARS, R.; GRAÇA, P. M. L. de A.; GRIFFITHS, A. D.; GROGAN, J.; GUAN, K.; HOMEIER, J.; KANIESKI, M. R.; KHO, L. K.; KOENIG, J.; KREPKOWSKI, J.; LEMOS-FILHO, J. P.; LIEBERMAN, D.; LIEBERMAN, M. E.; LISI, C. S.; SANTOS, T. L.; LÓPEZ AYALA, J. L.; MAEDA, E. E.; MALHI, Y.; MARIA, V. R. B.; MARQUES, M. C. M.; MARQUES, R.; CHAMBA, H. M.; MBWAMBO, L.; MELGAÇO, K. L. L.; MENDIVELSO, H. A.; MURPHY, B. P.; O’BRIEN, J. J.; OBERBAUER, S. F.; OKADA, N.; PÉLISSIER, R.; PRIOR, L. D.; ROIG, F. A.; ROSS, M.; ROSSATTO, D. R.; ROSSI, V.; ROWLAND, L.; RUTISHAUSER, E.; SANTANA, H.; SCHULZE, M.; SELHORST, D.; SILVA, W. R.; SILVEIRA, M.; SPANNL, S.; SWAINE, M. D.; TOLEDO, J. J.; TOLEDO, M. M.; TOLEDO, M.; TOMA. T.; TOMAZELLO FILHO, M.; VALDEZ HERNÁNDEZ, J. I.; VERBESSELT, J.; VIEIRA, S. A.; VINCENT, G.; CASTILHO, C. V. de; VOLLAND, F.; WORBES, M.; ZANON, M. L. B.; ARAGÃO, L. E. O. C. Climate seasonality limits leaf carbon assimilation and wood productivity in tropical forests. Biogeosciences, v. 13, n. 8, p. 2537-2562, Apr. 2016. Biblioteca(s): Embrapa Cocais; Embrapa Florestas; Embrapa Roraima. |
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Registros recuperados : 17 | |
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Biblioteca(s): |
Embrapa Agricultura Digital. |
Data corrente: |
08/06/2022 |
Data da última atualização: |
22/12/2022 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 1 |
Autoria: |
ZARBÁ, L.; PIQUER-RODRÍGUEZ, M.; BOILLAT, S.; LEVERS, C.; GASPARRI, I.; AIDE, T. M.; ÁLVAREZ-BERRÍOS, N. L.; ANDERSON, L. O; ARAOZ, E.; ARIMA, E.; BATISTELLA, M.; CALDERÓN-LOOR, M.; ECHEVERRÍA, C.; GONZALEZ-ROGLICH, M.; JOBBÁGY, E. G.; MATHEZ-STIEFEL, S. L.; RAMIREZ-REYES, C.; PACHECO, A.; VALLEJOS, M.; YOUNG, K. R.; GRAU, R. |
Afiliação: |
LUCÍA ZARBÁ, INSTITUTO DE ECOLOGÍA REGIONAL (IER); MARÍA PIQUER-RODRÍGUEZ, IER, FREIE UNIVERSITÄT BERLIN, HUMBOLDT-UNIVERSITÄT ZU BERLIN; SÉBASTIEN BOILLAT, UNIVERSITY OF BERN; CHRISTIAN LEVERS, VRIJE UNIVERSITEIT AMSTERDAM, UNIVERSITY OF BRITISH COLUMBIA; IGNACIO GASPARRI, IER; T. MITCHELL AIDE, UNIVERSITY OF PUERTO RICO - RIO PIEDRAS; NORA L. ÁLVAREZ-BERRÍOS, USDA FOREST SERVICE, INTERNATIONAL INSTITUTE OF TROPICAL FORESTRY, RÍO PIEDRAS, PUERTO RICO; LIANA O. ANDERSON, CEMADEN/MCTI; EZEQUIEL ARAOZ, IER; EUGENIO ARIMA, UNIVERSITY OF TEXAS AT AUSTIN; MATEUS BATISTELLA, CNPTIA; MARCO CALDERÓN-LOOR, DEAKIN UNIVERSITY, UNIVERSIDAD DE LAS AMÉRICAS; CRISTIAN ECHEVERRÍA, UNIVERSIDAD DE CONCEPCIÓN; MILLENNIUM NUCLEUS CENTER FOR THE SOCIOECONOMIC IMPACT OF ENVIRONMENTAL POLICIES, SANTIAGO DE CHILE; MARIANO GONZALEZ-ROGLICH, WILDLIFE CONSERVATION SOCIETY, BUENOS AIRES; ESTEBAN G. JOBBÁGY, GRUPO DE ESTUDIOS AMBIENTALES, IMASL - CONICET AND UNIVERSIDAD NACIONAL DE SAN LUIS; SOUTH AMERICAN INSTITUTE FOR RESILIENCE AND SUSTAINABILITY STUDIES, MALDONADO; SARAH-LAN MATHEZ-STIEFEL, UNIVERSITY OF BERN; CARLOS RAMIREZ-REYES, MISSISSIPPI STATE UNIVERSITY; ANDREA PACHECO, GERMAN CENTRE FOR INTEGRATIVE BIODIVERSITY RESEARCH (IDIV) HALLE-JENA-LEIPZIG; MARÍA VALLEJOS, INIA, UNIVERSIDAD DE BUENOS AIRES; KENNETH R. YOUNG, UNIVERSITY OF TEXAS AT AUSTIN; RICARDO GRAU, IER. |
Título: |
Mapping and characterizing social-ecological land systems of South America. |
Ano de publicação: |
2022 |
Fonte/Imprenta: |
Ecology and Society: a Journal of Integrative Science for Resilience and Sustainability, v. 27, n. 2, 27, 2022. |
DOI: |
https://doi.org/10.5751/ES-13066-270227 |
Idioma: |
Inglês |
Conteúdo: |
ABSTRACT. Humans place !!!!! strong pressure on land and have modified around 75% of Earth?s terrestrial surface. In this context,ecoregions and biomes, merely defined on the basis of their biophysical features, are incomplete characterizations of the territory. Landsystem science requires classification schemes that incorporate both social and biophysical dimensions. In this study, we generatedspatially explicit social-ecological land system (SELS) typologies for South America with a hybrid methodology that combined data-driven spatial analysis with a knowledge-based evaluation by an interdisciplinary group of regional specialists. Our approach embraceda holistic consideration of the social-ecological land systems, gathering a dataset of 26 variables spanning across 7 dimensions: physical,biological, land cover, economic, demographic, political, and cultural. We identified 13 SELS nested in 5 larger social-ecological regions(SER). Each SELS was discussed and described by specific groups of specialists. Although 4 environmental and 1 socioeconomicvariable explained most of the distribution of the coarse SER classification, a diversity of 15 other variables were shown to be essentialfor defining several SELS, highlighting specific features that differentiate them. The SELS spatial classification presented is a systematicand operative characterization of South American social-ecological land systems. We propose its use can contribute as a referenceframework for a wide range of applications such as analyzing observations within larger contexts, designing system-specific solutionsfor sustainable development, and structuring hypothesis testing and comparisons across space. Similar efforts could be done elsewherein the world. MenosABSTRACT. Humans place !!!!! strong pressure on land and have modified around 75% of Earth?s terrestrial surface. In this context,ecoregions and biomes, merely defined on the basis of their biophysical features, are incomplete characterizations of the territory. Landsystem science requires classification schemes that incorporate both social and biophysical dimensions. In this study, we generatedspatially explicit social-ecological land system (SELS) typologies for South America with a hybrid methodology that combined data-driven spatial analysis with a knowledge-based evaluation by an interdisciplinary group of regional specialists. Our approach embraceda holistic consideration of the social-ecological land systems, gathering a dataset of 26 variables spanning across 7 dimensions: physical,biological, land cover, economic, demographic, political, and cultural. We identified 13 SELS nested in 5 larger social-ecological regions(SER). Each SELS was discussed and described by specific groups of specialists. Although 4 environmental and 1 socioeconomicvariable explained most of the distribution of the coarse SER classification, a diversity of 15 other variables were shown to be essentialfor defining several SELS, highlighting specific features that differentiate them. The SELS spatial classification presented is a systematicand operative characterization of South American social-ecological land systems. We propose its use can contribute as a referenceframework for a wide range of... Mostrar Tudo |
Palavras-Chave: |
Automatização; Automatization; Clusterização hierárquica; Dados multidisciplinares; Hierarchical clustering; Mapeamento; Mapeamento participatório; Mapeamento socioecológico; Multidisciplinary data; Participatory mapping; Sistema socioecológico da América do Sul; Social-ecological mapping. |
Categoria do assunto: |
-- |
Marc: |
LEADER 03344naa a2200517 a 4500 001 2143841 005 2022-12-22 008 2022 bl uuuu u00u1 u #d 024 7 $ahttps://doi.org/10.5751/ES-13066-270227$2DOI 100 1 $aZARBÁ, L. 245 $aMapping and characterizing social-ecological land systems of South America.$h[electronic resource] 260 $c2022 520 $aABSTRACT. Humans place !!!!! strong pressure on land and have modified around 75% of Earth?s terrestrial surface. In this context,ecoregions and biomes, merely defined on the basis of their biophysical features, are incomplete characterizations of the territory. Landsystem science requires classification schemes that incorporate both social and biophysical dimensions. In this study, we generatedspatially explicit social-ecological land system (SELS) typologies for South America with a hybrid methodology that combined data-driven spatial analysis with a knowledge-based evaluation by an interdisciplinary group of regional specialists. Our approach embraceda holistic consideration of the social-ecological land systems, gathering a dataset of 26 variables spanning across 7 dimensions: physical,biological, land cover, economic, demographic, political, and cultural. We identified 13 SELS nested in 5 larger social-ecological regions(SER). Each SELS was discussed and described by specific groups of specialists. Although 4 environmental and 1 socioeconomicvariable explained most of the distribution of the coarse SER classification, a diversity of 15 other variables were shown to be essentialfor defining several SELS, highlighting specific features that differentiate them. The SELS spatial classification presented is a systematicand operative characterization of South American social-ecological land systems. We propose its use can contribute as a referenceframework for a wide range of applications such as analyzing observations within larger contexts, designing system-specific solutionsfor sustainable development, and structuring hypothesis testing and comparisons across space. Similar efforts could be done elsewherein the world. 653 $aAutomatização 653 $aAutomatization 653 $aClusterização hierárquica 653 $aDados multidisciplinares 653 $aHierarchical clustering 653 $aMapeamento 653 $aMapeamento participatório 653 $aMapeamento socioecológico 653 $aMultidisciplinary data 653 $aParticipatory mapping 653 $aSistema socioecológico da América do Sul 653 $aSocial-ecological mapping 700 1 $aPIQUER-RODRÍGUEZ, M. 700 1 $aBOILLAT, S. 700 1 $aLEVERS, C. 700 1 $aGASPARRI, I. 700 1 $aAIDE, T. M. 700 1 $aÁLVAREZ-BERRÍOS, N. L. 700 1 $aANDERSON, L. O 700 1 $aARAOZ, E. 700 1 $aARIMA, E. 700 1 $aBATISTELLA, M. 700 1 $aCALDERÓN-LOOR, M. 700 1 $aECHEVERRÍA, C. 700 1 $aGONZALEZ-ROGLICH, M. 700 1 $aJOBBÁGY, E. G. 700 1 $aMATHEZ-STIEFEL, S. L. 700 1 $aRAMIREZ-REYES, C. 700 1 $aPACHECO, A. 700 1 $aVALLEJOS, M. 700 1 $aYOUNG, K. R. 700 1 $aGRAU, R. 773 $tEcology and Society: a Journal of Integrative Science for Resilience and Sustainability$gv. 27, n. 2, 27, 2022.
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