Riverine fishers’ knowledge of extreme climatic events in the Brazilian Amazonia
© The Author(s). 2016
Received: 7 July 2016
Accepted: 15 October 2016
Published: 26 October 2016
The Erratum to this article has been published in Journal of Ethnobiology and Ethnomedicine 2017 13:22
Climate change is altering climate patterns, mainly increasing the frequency and intensity of extreme events with potentially serious impacts on natural resources and the people that use them. Adapting to such impacts will require the integration of scientific and local (folk) knowledge, especially the first-hand experiences and perceptions of resource users such as fishers. In this study, we identify how commercial riverine fishers in the Amazon remember extreme climatic events (flood and drought) and how they face the consequences of extreme events on fish availability.
Data were collected from the main Manaus fishery harbor between June and October of 2013. Semi-structured questionnaires and a historical timeline technique were used to gather data from artisanal commercial fishers. Fishers’ knowledge of extreme climate events was assessed by their “cultural consensus” for identification of event years and perceived impacts. Fishers’ responses were also compared to hydrological data to test their similarity.
There was a high level of cultural consensus among fishers about extreme events years. They were able to identify four consecutive unusual droughts, between 2009 and 2012. Elevated levels of fish mortality and decreases in the fishery were perceived as consequences of the drought events, as well as, a reduction in fish size, and disappearance of some species. Extreme flood events were associated with greater difficulties accessing fishing grounds.
Extreme climatic events (floods and droughts) were remembered, and the recent increase in their intensity and frequency was also perceived. Moreover, extreme climate event (mainly droughts) impacts on fishery resources were also observed. Such information is potentially valuable for educational programs to further improve adaptation of local Amazonian fishing communities to future climate change, e.g. increasing local ecological knowledge using learning material based on their perception.
A mudança climática está alterando os padrões climáticos, por meio de um aumento tanto da frequência como da intensidade de eventos climáticos extremos com potenciais impactos nos recursos naturais e nos seus utilizadores. A adaptação a tais impactos exigirá uma integração entre os conhecimentos científico e local, principalmente as experiências diretas e percepções de utilizadores dos recursos tais como os pescadores. No presente estudo, identificámos como os pescadores comerciais ribeirinhos da Amazônia recordam os eventos climáticos extremos (cheia e seca) e como estes enfrentam as consequências dos eventos extremos na disponibilidade de peixe.
Os dados foram coletados no principal porto de pesca de Manaus entre os meses de junho e outubro de 2013. Os dados foram coletados de pescadores artesanais comerciais por meio de entrevistas semi-estruturadas e por meio da técnica “linha cronológica histórica”. O conhecimento que estes pescadores tinham sobre eventos climáticos extremos foi avaliado por meio do “consenso cultural” na identificação de anos de eventos extremos e dos impactos perceptionados por estes pescadores. Além disso, as respostas obtidas foram também comparadas com dados hidrológicos de forma a testar a sua similaridade.
O nível de consenso cultural acerca de anos de eventos extremos foi elevado entre os pescadores. Eles foram capazes de identificar quatro anos consecutivos de seca excepcional, registados entre 2009 e 2012. Níveis elevados de mortalidade de peixe e diminuição na pesca foram percepcionados como consequências de eventos de seca, bem como, a diminuição no tamanho do peixe e o desaparecimento de algumas espécies. Os eventos de cheia extrema foram associados a maiores dificuldades de acesso aos bancos de pesca.
Os eventos climáticos extremos (cheias e secas) foram recordados, bem como o recente aumento na intensidade e frequência destes extremos. Adicionalmente, os impactos de eventos climáticos extremos (principalmente secas) nos recursos pesqueiros também foram observados. Esta informação é potencialmente útil em programas educacionais para que comunidades pesqueiras locais da Amazônia possam à posteriori melhor se adaptar ás mudanças climáticas futuras, por exemplo, por meio do aumento de material educativo acerda de conhecimento ecológico local baseado nas suas percepções.
Climate change is significantly altering the structure and function of ecosystems, compromising their ability to provide goods and services to human populations [1, 2]. Some projections indicate that water availability, thermal regimes and biogeochemical processes will be strongly affected in some geographic regions . Consequently, freshwater biodiversity, the structure and dynamic of the aquatic food webs, as well as the quality, abundance and distribution of habitats will be altered . Freshwater fisheries could also be affected by changes in water temperature that will influence habitat quality, and by changes in water volume that will affect habitat quality and availability, habitat connectivity, and lifecycle events [4–7]. This will happen while freshwater fishes are threatened by other anthropogenic impacts, including the degradation of the riparian habitat, imposition of migration barriers, the introduction of exotic species , and overfishing . Such impacts are global and are even apparent in the largest rivers of the world such as the Amazon . Finally, environmental change and globalization are impacting social-ecological systems, as the collapse of fish stocks can lead to social reorganization .
The interaction and connection between ecological and social subsystems is an important mediator of the influence of environmental change on natural resources. In fisheries context, the fishers’ ecological knowledge (EK) represents a substantial information base and is frequently used to evaluate fisheries resource levels [11–14], plan fisheries conservation [15–19], and to support basic research on local fish populations . Such knowledge is increasingly being applied to the study of climate change through ethno-climatological approaches [20–22], which can be utilized to determine the potential consequences of climate change on exploited populations across different spatial and temporal scales. Information from such studies can be used for participative management [23–25] and to guide future research . Moreover, the integration of scientific and traditional knowledge facilitates and supports social negotiation during the development and implementation of resource management measures [15, 27–29].
Artisanal fishing communities in the Amazon have historically been subjected to the impacts of climatic variabilities, such as El-Niño and La Niña and they have developed strategies to deal with extreme phenomena. However, new challenges in the form of current climate change may affect their economy and food security . Climate change may, therefore, increase fishers’ dependence on having sound knowledge of climate and its effects to develop effective decision-making. In Brazil, studies on ethnoichthyology have mostly been applied in coastal areas with less attention given to the large fishing communities of the Amazon , characterized by high levels of subsistence consumption  and commercial activity .
The aims of this study were to: 1) assess how commercial riverine fishers recall extreme climatic events affecting the local aquatic environments (drought and flood); 2) identify how fishers respond to the consequences of extreme events on fish availability; 3) determine the sources of information about extreme events (drought and flood) used by fishers, considering their education and experience, and; 4) assess fishers’ knowledge of extreme event years. To do that, we adopted two approaches: 1) Cultural response analysis based on “cultural consensus theory”; 2) integrative fishers/hydrological analysis: comparing empirical measurements of water levels with fishers’ identification of years of extreme events.
The Amazon region is made up of vast areas of primary and secondary forest, and a few (mainly) small (<50 thousand inhabitants) urbanized areas with a racially mixed population. Several tribal groups—most already acculturated, but others still non-contacted—inhabit the region, creating complex social-biological diversity. As the rivers remain the main communication pathways in the area, hydrological fluctuations strongly modulate the social-cultural dynamics .
Amazonian forests significantly contribute to the regional and global regulation of climate , being important in a climate change context. The climate of Central Amazon is hot and humid, with a mean annual temperature of 26.6 °C. During the dry period, evaporation can surpass precipitation [35, 36]. During the warm ENSO-phases (El Niño) flood levels are typically lowered, and aquatic phases are shortened, while high and prolonged flooding is associated with cold ENSO-phases (La Niña) .
Semi-structured questionnaires (see Appendix) were applied to 91 artisanal commercial fishers. A stratified random sample was applied by separating the population into strata based on fishermen’s experience (“novice fishers”- less than 15 years of experience; and “experienced fishers”- fishers with 15 plus years of experience) to assure the representativeness of the sample and the perception of the error . The interviews followed standard recommendations for ethnoecological research . They lasted for about 30 min and were given in Portuguese. Participant observation and historical timelines were applied to the questionnaires . Questions dealt with various social and cultural themes, e.g., time of fishery experience, education, sources of information and ecological knowledge related to fish, fishing and climate, including perceived impacts of extreme weather impacts on local fishery resources. All research was conformed to the ethical and legal obligations of the author’s institution and the Federal government (license number: 13813613.9.0000.0006).
Sources of knowledge of extreme climatic events were classified as familiar (grandparents, parents, brothers and cousins) and non-familiar (magazines and personal experience). Differences between sources of knowledge for each experience category (experienced/novice) were assessed. Fishers’ educational level was classified as literate (basic, primary/new fundamental education) or illiterate (“did not study”). Differences between educational level and Fisher categories (experienced/novice) were assessed.
Two methodologies were used to evaluate the fishers’ knowledge of past extreme climate events: a consensus analysis and an integrative fishers/meteorological analysis. The consensus analysis [40, 41] was performed and validated using anthropological theory . In this approach, the cultural consensus is defined as the “pattern or agreement or consensus among informants that permit to make inferences about their differential competence in knowledge of the shared information pool constituting the culture. It is assumed that the correspondence between the answers of any two informants is a function of the extent to which each is correlated with the truth” . To support this analysis we estimated and plotted the annual distribution frequency of quotes by drought events and by flood events.
The integrative fishers/meteorological analysis was based on hydrological records of water levels were retrieved from the Manaus harbour website . Extreme flood/drought events were classified as those causing a water level of above 28 m or lower than 17 m, respectively, according to the criteria of Bittencourt and Amadio . Fishers’ memories of extreme events were classified as being “in Accordance with the Hydrological Records” (AHR) or “Not in Accordance with the Hydrological Records” (NAHR).
A Pearson’ chi-squared test with Yates’ continuity correction was used to compare fishers’ experience categories with 1) sources of extreme events knowledge (Familiar/Not Familiar) and with 2) education levels (Literate/Illiterate).
A Pearson’ chi-squared test with Yates’ continuity correction was also used to test differences in AHR between experience categories (experienced/novice) and between fishing grounds (one or more than one fishing ground) for each of the extreme events. Finally, differences in AHR between types of event (flood/drought) were also assessed. All statistics were performed in the R software environment , and all the statistical tests were at the 5 % significance level.
Extreme climatic knowledge
At the beginning of drought events, fishers described that they typically have access to large quantities of fish as ecologically appropriate decrease in area. However, further reduction in the water level reduces the connectivity of the lakes, forcing fishers to carry canoes by hand and reducing the total catch. As the drought advances, there is also a significant increase of commercially valuable fish in lakes, mainly the silver and flagtail prochilodus (Semaprochilodus spp.) and black prochilodus (Prochilodus nigricans). Close to the minimum water level, fish are no longer available for fishers due to lack of access or complete loss of fish stocks. Fishers were also able to detect a delayed response regarding fish mortality (Fig. 7).
Artisanal fishers are clearly very knowledgeable about extreme climatic events in the past. Both the cultural consensus and complementary approaches were similarly effective in identifying past extreme events. Furthermore, fishers had detailed perception about drought impacts on fisheries resources. In South America, research has only been conducted on fishers’ perceptions of birds biology , the interaction between birds and fishing , and territorial use rights . However, the study contributes to the global literature of fishers’ perceptions of environmental change [49–52], and similar results were recorded by West and Vásquez-León  and Puri  for farmer’s perception of meteorological records.
Evidence was found that fishers with different levels of experience use different knowledge sources. However, fishers’ experience, the number of fishing grounds and educational level did not affect their recall. Such results are concordant with the historical dynamics of environmental, social and economic conditions in Central Amazon. An integrated environmental-economic example is the implementation and maintenance of new fishing technologies and the spread of commercial-scale fishing during the 1960s [55, 56]. Rapid social change and intergenerational differences in knowledge, as reported in this study, are common phenomena in subsistence cultures . However, the adaptive character of local knowledge allows effective responses to changing conditions [12, 58]. This is broadly supported by our results since fishers appear to be using different knowledge sources to identify the extreme events and to make inferences about them.
Fishers had the capacity to identify the different impacts that extreme droughts and floods had on fishing resources. Specifically, they identified an increase in fish abundance during the initial phase of extreme droughts—as during ‘normal’ drought conditions. However, during peak periods of extreme droughts they perceived fish mortality to be unusually high (and varied between species) and a reduction in fish quality. From the fishers’ perspective, these events are memorable since they necessitate considerable changes in fishing behavior as access to common fishing grounds become harder.
Fishers’ observations effects of drought on fishes in our study are concordant with scientific data from the USA , which identifies factors such as 1) fish population decline; 2) loss of habitats, and; 3) agglomeration of fish. More generally, adverse effects of droughts on food production have been reported by Nakashima et al.  for various crops, who note that local communities believe that “ENSO- related period of drought tend to be related with little to no production of ceremonial yams and kava, while wetter years produce the contrary effect”. Although too obvious, this is an example how traditional knowledge of local people links natural resource fluctuations to climatic events.
The recent increase in severity and frequency of extreme climatic events [61, 62] was clearly perceived by the fishers. Such sensitivity to subtle changes in climate has been reported as contributing to the better understanding of the local expressions of global climate change . Taking into consideration that “memory” is a cognitive process  - understood in anthropological studies as a valuable tool to build system resilience  - those eventual, but remarkable, events are key for strengthening communities to react to future increases in climatic extremes. Furthermore, the capacity to identify  and anticipate changes in future weather conditions is one of best adaptation measures to climate changes [66, 67], addressing the dual challenge of resource conservation and poverty alleviation .
Resource users knowledge of past climatic events is a potentially valuable source of information on the intensity and timing of climate change and can provide additional information that has not been recorded by scientific research [22, 67]. More detailed information to increase our understanding of spatial-temporal climatic-resource dynamics in the region could be gained through participatory mapping, widely used in studies of environmental conservation, cultural preservation, and climate change adaptation . Furthermore, since local ecological knowledge was a strong source for the identification of extreme events, the development of educational programs are recommended to increase the local fishing communities’ resilience facing climate change notwithstanding other social benefits from education. Learning material explicitly based on cultural perceptions can motivate technological/behavioral adaptations and innovations, strengthening fishers’ power during negotiations with the representatives of government agencies [22, 63].
Artisanal commercial fishers in the Amazon recall extreme events. They are also able to identify the main impacts of extreme climatic events on the fisheries resources they exploit. Such knowledge is clearly useful for building consensus on adaptation strategies and, potentially, for introducing measures to promote sustainable fisheries during times of climate change. Moreover, fishers appear to be valuable repositories of climate memory at a local scale, a characteristic that could be exploited to deal with challenges related to climatic change.
Despite the promising results of this study, further research is needed that incorporates other aspects of ethno-climatological memory analysis, such as cultural values and frames, long-term memory and short-memory characteristics and/or the level of externally-built awareness of climate change. This is the key to bottom-up approaches of social development using natural resources.
We are very grateful for the contribution of all fishers to this study, including the Panair fishers’ colony president, Miguel Oliveira Falcão. We are also thankful for the cultural experience that we have seen at Manaus, as all of that contributed to better understanding the dynamics of this fishery sector. We are also grateful to the reviewers for all their useful suggestions and contributions.
This study was funded by Coordination for the Improvement of Higher Education Personnel (CAPES) (AICG grant), the Brazilian Innovation Agency (FINEP) and the Ministry of Fisheries and Aquaculture (MPA) (grant # 01.10.0770.00). VSB grant has been provided by the National Research Council of Brazil (CNPq) (grant # 303469/2013-7).
Availability of data and materials
All data analyzed during the current study are available on figshare website (https://figshare.com/).
AICG conceived the study and its design, carried out the interviews, performed the statistical analysis and drafted and revised the manuscript. RJL suggested research narrative, and revised the manuscript. VSB participated in its design, the statistical analysis and helped to draft the manuscript. All authors read and approved the final manuscript.
AICG studied fisheries sciences, and she is specialized in Ecology and conservation. Her master thesis was about sport fishing catches. She has worked in a freshwater biology management study in a city council, and in a fishery study in the Basque country (AZTI). Since 2013, that she is a doctorate student in BADPI (freshwater biology and continental fisheries graduate program) at INPA (National Institute of Amazonian Research). She is working with climate influence on commercial fisheries.
RJL is Titular Professor of Conservation Biogeography at the Federal University of Alagoas in northeast Brazil. His interests span conservation science, biogeography, evolutionary theory, and ecology, public understanding of science, sustainable development and sustainable tourism.
VSB graduated in Oceanography, Master’s degree in Biological Oceanography and a PhD in Freshwater Biology and Inland Fisheries. In 2013, he was a visiting professor at Bournemouth University, UK. He worked during 16 years at the Federal University of Amazonas and currently is Titular Professor at the Federal University of Alagoas. He has experience in Fisheries Resources and Ecology, with an emphasis on Applied Ecology.
The authors declare that they have no competing interests.
Consent for publication
Each of the participants has signed a permission reporting that its information can be used in any publication.
Ethics approval and consent to participate
This study was cleared by the Research Ethics Committee (CEP/CONEP) (CAE number: 13813613.9.0000.0006), and all signed an Informed Consent Form.
Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
- IPCC: Summary for Policymakers. In: Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. 2013.Google Scholar
- Hurrell JW, Deser C. North Atlantic climate variability: The role of the North Atlantic Oscillation. Journal of Marine Systems. 2010;79:231–244.Google Scholar
- Wrona FJ, Prowse TD, Reist JD, Hobbie JE, Lévesque LMJ, Vincent WF. Climate change effects on aquatic biota, ecosystem structure and function. Ambio. 2006;35:359–69.View ArticlePubMedGoogle Scholar
- Feenstra JF, Burton I, Smith JB, Tol RSJ. Handbook on Methods for Climate Change Impact Assessment and Adaptation Strategies. The Netherlands: UNEP;1998.Google Scholar
- Nolan KS, Fabré NN, Batista VS. Landscape variables affecting fishery yield in lake systems of the Central Amazon region, Brazil. J Appl Ichthyol. 2009;25:294–8.View ArticleGoogle Scholar
- Stassen MJM, van de Ven MWPM, van der Heide T, Hiza MAG, van der Velde G, Smolders AJP. Population dynamics of the migratory fish Prochilodus lineatus in a neotropical river: the relationships with river discharge, flood pulse, El Niño and fluvial megafan behaviour. Neotrop Ichthyol. 2010;8:113–22.View ArticleGoogle Scholar
- Siegel DA, Mitarai S, Costello CJ, Gaines SD, Kendall BE, Warner RR, et al. The stochastic nature of larval connectivity among nearshore marine populations. Proc Natl Acad Sci U S A. 2008;105:10–5.View ArticleGoogle Scholar
- Cooke S, Paukert C, Hogan Z. Endangered river fish: factors hindering conservation and restoration. Endanger Species Res. 2012;17:179–91.View ArticleGoogle Scholar
- Welcomme RL, Cowx IG, Coates D, Bene C, Funge-Smith S, Halls A, et al. Inland capture fisheries. Philos Trans R Soc B, Biol Sci. 2010;365:2881–96.View ArticleGoogle Scholar
- Castello L, Mcgrath DG, Hess LL, Coe MT, Lefebvre PA, Petry P, et al. The vulnerability of Amazon freshwater ecosystems. Conserv Lett. 2013;6:217–29.View ArticleGoogle Scholar
- Perry RI, Ommer RE, Barange M, Jentoft S, Neis B, Sumaila UR: Marine social – ecological responses to environmental change and the impacts of globalization. Fish Fish 2011;12(4):1–24.Google Scholar
- Berkes F, Colding J, Folke C. Rediscovery of traditional ecological knowledge as adaptive management. Ecol Appl. 2000;10:1251–62.View ArticleGoogle Scholar
- Gomez-Baggethun E, Reyes-Garcia V, Olsson P, Montes C. Traditional ecological knowledge and community resilience to environmental extremes: A case study in Donana, SW Spain. Glob Environ Chang Policy Dimens. 2012;22:640–50.View ArticleGoogle Scholar
- Begossi A, Caires R. Art, fisheries and ethnobiology. J Ethnobiol Ethnomed. 2015;11:17.View ArticleGoogle Scholar
- Shackeroff JM, Campbell LM. Traditional Ecological Knowledge in Conservation Research : Problems and Prospects for their Constructive Engagement. Conserv Soc. 2007;5:343–60.Google Scholar
- Murray, C, Wieckowski, K, Hurlburt, D, Soto, C, Johnnie K. Incorporation of Traditional and Local Ecological Knowledge and Values in Fisheries Management. Canada: ESSA Technologies Ltd.; 2011.Google Scholar
- Begossi A, Figueiredo J. Ethnoichtyology of southern coastal fishermen:cases from Buzios Island and Sepetiba Bay (Brazil). B Mar Sci. 1995;56:710–7.Google Scholar
- Santos CAB, Nóbrega Alves RR. Ethnoichthyology of the indigenous Truká people, Northeast Brazil. J Ethnobiol Ethnomed. 2016;12:1.View ArticlePubMedPubMed CentralGoogle Scholar
- Silvano RAM, Silva AL, Ceroni M, Begossi A. Contributions of ethnobiology to the conservation of tropical rivers and streams. Aquat Conserv. 2008;18:241–60.View ArticleGoogle Scholar
- D’Andrade RG: The Development of Cognitive Anthropology. Cambridge: Cambridge University Press; 1995.Google Scholar
- Flinn MV. Culture and the evolution of social learning. Evol Hum Behav. 1997;18:23–67.View ArticleGoogle Scholar
- Peterson N, Broad K: Climate and Weather Discourse in Anthropology: From Determinism to Uncertain Futures. In Anthropology and Climate Change: From Encounters to Actions. Edited by Crate S, Nutall M. Walnut Creek, CA: Left Coast Press; 2009:70–86.Google Scholar
- Mackinson S, Nøttestad L. Combining local and scientific knowledge. Rev Fish Biol Fish. 1998;8:481–90.View ArticleGoogle Scholar
- Hill NAO, Michael KP, Frazer A, Leslie S. The utility and risk of local ecological knowledge in developing stakeholder driven fisheries management: The Foveaux Strait dredge oyster fishery, New Zealand. Ocean Coast Manag. 2010;53:659–68.View ArticleGoogle Scholar
- Pinto MF, Mourão JS, Alves RRN. Use of ichthyofauna by artisanal fishermen at two protected areas along the coast of Northeast Brazil. J Ethnobiol Ethnomed. 2015;11:20.View ArticlePubMedPubMed CentralGoogle Scholar
- Pinto M, Mourão J, Alves R. Ethnotaxonomical considerations and usage of ichthyofauna in a fishing community in Ceará State, Northeast Brazil. J Ethnobiol Ethnomed. 2013;9:17.View ArticlePubMedPubMed CentralGoogle Scholar
- Moller H, Berkes F. Combining science and traditional ecological knowledge: monitoring populations for co-management. Ecol Soc. 2004;9:2.View ArticleGoogle Scholar
- Yli-Pelkonen V, Kohl J. The role of local ecological knowledge in sustainable urban planning : perspectives from Finland. Sustain Pract Policy. 2005;1:3–14.Google Scholar
- Wilson DC, Raakjær J, Degnbol P. Local ecological knowledge and practical fisheries management in the tropics: A policy brief. Mar Policy. 2006;30:794–801.View ArticleGoogle Scholar
- Alves RR, Souto WM. Ethnozoology in Brazil: current status and perspectives. J Ethnobiol Ethnomed. 2011;7:22.View ArticlePubMedPubMed CentralGoogle Scholar
- Batista VS, Inhamuns AJ, Freitas CEC, Freire-Brasil D. Characterization of the fishery in river communities in the low-Solimoes/high-Amazon region. Fish Manag Ecol. 1998;5:419–35.View ArticleGoogle Scholar
- Batista VS, Petrere M. Characterization of the commercial fish production landed at Manaus, Amazonas State, Brazil. Acta Amaz. 2003;33:53–66.View ArticleGoogle Scholar
- Schor T, Marinho RR, Costa DP, Oliveira JA. Cities, Rivers and Urban network in the Brazilian Amazon. Brazilian Geogr J Geosci Humanit Res Mediu. 2014;5:258–76.Google Scholar
- Furley P: Tropical forest of the lowlands. In The physical geography of South America. seventh. Edited by Veblen T, Young K, Orme A. New York: Oxford University Press; 2007:361.Google Scholar
- Junk WJ (Ed): The Central Amazon Floodplain: Ecology of a Pulsing System. Berlin Heildelberg: Springer; 1997.Google Scholar
- Hodnett MG, Silva LP, Rocha HR, Cruz Senna R. Seasonal soil water storage changes beneath central Amazonian rainforest and pasture. J Hydrol. 1995;170:233–54.View ArticleGoogle Scholar
- Schöngart J, Junk WJ. Forecasting the flood-pulse in Central Amazonia by ENSO-indices. J Hydrol. 2007;335:124–32.View ArticleGoogle Scholar
- Parente VM, Batista VS. A organização do desembarque e o comércio de pescado na década de 1990 em Manaus, Amazonas. Acta Amaz. 2005;35:375–82.View ArticleGoogle Scholar
- Albuquerque UP, Cruz da Cunha LVF, Lucena RFP. Methods and Techniques Ethnobiology and Ethnoecology. New York: Springer Science + Business Media; 2014.Google Scholar
- Romney AK, Weller SC, Batchelder WH. Culture as Consensus: A Theory of Culture and Informant Accuracy. Am Anthr. 1986;88:313–38.View ArticleGoogle Scholar
- Cavalcanti IFA. Large scale and synoptic features associated with extreme precipitation over South America: A review and case studies for the first decade of the 21st century. Atmos Res. 2012;118:27–40.View ArticleGoogle Scholar
- Kroeber A: Anthropology: Race, Language, Culture, Psychology, Prehistory. New York; 1948.Google Scholar
- Level of the Negro River (Nível do Rio Negro)Google Scholar
- Bittencourt MM, Amadio SA. Proposta para identificação rápida dos períodos hidrológicos em áreas de várzea do rio Solimões-Amazonas nas proximidades de Manaus. Acta Amaz. 2007;37:303–8.View ArticleGoogle Scholar
- Dunn PK: tweedie: Tweedie exponential family models. R package version 1.5.2. 2007.Google Scholar
- Andrade LP, Silva-Andrade HML, Lyra-Neves RM, Albuquerque UP, Telino-Júnior WR. Do artisanal fishers perceive declining migratory shorebird populations? J Ethnobiol Ethnomed. 2016;12:16.View ArticlePubMedPubMed CentralGoogle Scholar
- Suazo CG, Schlatter RP, Arriagada AM, Cabezas LA, Ojeda J. Fishermen’s perceptions of interactions between seabirds and artisanal fisheries in the Chonos archipelago, Chilean Patagonia. Oryx. 2013;47:184–9.View ArticleGoogle Scholar
- Gelcich S, Cinner J, Donlan C, Tapia-Lewin S, Godoy N, Castilla J. Fishers’ perceptions on the Chilean coastal TURF system after two decades: problems, benefits, and emerging needs. Bull Mar Sci. 2016;92:000-000.Google Scholar
- Musinguzi L, Efitre J, Odongkara K, Ogutu-Ohwayo R, Muyodi F, Natugonza V, et al. Fishers’ perceptions of climate change, impacts on their livelihoods and adaptation strategies in environmental change hotspots: a case of Lake Wamala, Uganda. Environ Dev Sustain. 2016;18:1255–73.View ArticleGoogle Scholar
- Sievanen L. How do small-scale fishers adapt to environmental variability? Lessons from Baja California, Sur, Mexico. Marit Stud. 2014;13:9.View ArticleGoogle Scholar
- Conley KR, Sutherland KR. Commercial fishers’ perceptions of jellyfish interference in the Northern California Current. ICES J Mar Sci. 2015;72:1565–75.View ArticleGoogle Scholar
- Coll M, Carreras M, Ciércoles C, Cornax MJ, Gorelli G, Morote E, Sáez R. Assessing fishing and marine biodiversity changes using fishers’ perceptions: The Spanish Mediterranean and Gulf of Cadiz case study. PLoS One. 2014;9:e85670.Google Scholar
- West C, Vásquez-León M: Testing farmers’ perceptions of climate variability:A case study from the Sulphur Sping Valley, Arizona. In Weather, climate and culture. Edited by Strauss S, Orlove B. Oxford: Berg; 2003:233–250.Google Scholar
- Puri R: Responses to medium-term stability in climate: El Niño, droughts, and coping mechanisms in foragers and farmers in Borneo. In Modern crises and traditional strategies: Local ecological knowledge in island southeast Asia. Edited by Ellen R. New York: Berghahn Books; 2007:46–83.Google Scholar
- Ferreira AR: Viagem Filosófica Pelas Capitanias Do Grão Pará, Rio Negro, Mato Grosso E Cuiabá (1792). Rio de Janeiro: Cons. Fed. de Cultura; 1974.Google Scholar
- Batista V, Petrere M. Spatial and temporal distribution of fishing resources exploited by the Manaus fishing fleet, Amazonas, Brazil. Brazilian J Biol. 2007;67:651–6.View ArticleGoogle Scholar
- Gómez-Baggethun E, Reyes-García V. Reinterpreting Change in Traditional Ecological Knowledge. Hum Ecol. 2013;41:643–7.View ArticleGoogle Scholar
- Reyes-García V, Luz AC, Gueze M, Paneque-Gálvez J, Macía MJ, Orta-Martínez M, et al. Secular trends on traditional ecological knowledge: An analysis of changes in different domains of knowledge among Tsimane’ men. Learn Individ Differ. 2013;27:206–12.View ArticlePubMedPubMed CentralGoogle Scholar
- Matthews WJ, Marsh-Matthews E. Effects of drought on fish across axes of space, time and ecological complexity. Freshw Biol. 2003;48:1232–53.View ArticleGoogle Scholar
- Nakashima DJ, Galloway MK, Thulstrup HD CR& RJ: Weathering Uncertainty: Traditional Knowledge for Climate Change Assessment and Adaptation. Paris: UNESCO; 2012.Google Scholar
- Allison EH, Perry AL, Badjeck M-C, Neil Adger W, Brown K, Conway D, et al. Vulnerability of national economies to the impacts of climate change on fisheries. Fish Fish. 2009;10:173–96.View ArticleGoogle Scholar
- Chambers JQ, Tribuzy ES, Toledo LC, Crispim BF, Higuchi N, Santos J, Araújo AC, Kruijt B, Nobre AD, Trumbore SE. Respiration from a tropical forest ecosystem: partitioning of sources and low carbon use efficiency. Ecol Appl. 2004;14(sp4):72–88.View ArticleGoogle Scholar
- Roncoli C, Crane T, Orlove B: Fielding Climate Change in Cultural Anthropology. In Anthropology and climate change : from encounters to actions. Edited by Crate AS, Nuttall M. Walnut Creek, CA: Left Coast Press; 2009:87–115.Google Scholar
- Berkes F, Colding J, Folke C. Navigating Social-Ecological Systems: Building Resilience for Complexity and Change. 1st ed. United Kingdom: Cambridge University Press; 2003.Google Scholar
- Alves R, Souto W. Ethnozoology: A Brief Introduction. Ethnobiol Conserv. 2015;4:1–13.Google Scholar
- Kolawole OD, Wolski P, Ngwenya B, Mmopelwa G. Ethno-meteorology and scientific weather forecasting: Small farmers and scientists’ perspectives on climate variability in the Okavango Delta, Botswana. Clim Risk Manag. 2014;4–5:43–58.View ArticleGoogle Scholar
- Boillat S, Berkes F. Perception and Interpretation of Climate Change among Quechua Farmers of Bolivia: Indigenous Knowledge as a Resource for Adaptive Capacity. Ecol Soc. 2013;18:21.Google Scholar
- Hartter J, Stampone MD, Ryan SJ, Kirner K, Chapman CA, Goldman A. Patterns and perceptions of climate change in a biodiversity conservation hotspot. PLoS One. 2012;7:e32408.View ArticlePubMedPubMed CentralGoogle Scholar
- Mercer J, Kelman I, Alfthan B, Kurvits T. Ecosystem-based adaptation to climate change in caribbean small island developing states: Integrating local and external knowledge. Sustain. 2012;4:1908–32.View ArticleGoogle Scholar