Tendencias de investigación relacionadas con especies tropicales maderables durante las últimas cuatro décadas a través de análisis cienciométricos
Resumen
Objetivo del estudio: El diálogo entre actores es clave para implementar la gestión forestal sostenible en los bosques tropicales. Sin embargo, en estos procesos en los que intervienen múltiples actores, a menudo se pasa por alto el papel y el interés de una parte interesada clave, como son los científicos. Por ello, el objetivo de este trabajo fue analizar los temas que los científicos forestales han relacionado más con el concepto de “especies maderables tropicales” durante las últimas cuatro décadas. Área de estudio: Bosques tropicales del mundo. Material y métodos: Análisis cienciométricos (análisis de palabras conjuntas), utilizando los paquetes de R Bibliometrix y Biblioshiny en las bases de datos Web of Science (WoS) y Scopus. Resultados principales: Se identificaron 35.204 documentos que utilizaban el concepto “especies maderables tropicales”. La productividad científica ha crecido desde un documento en 1980 hasta 31.457 documentos en 2023, con el 40% de toda la productividad científica generado solamente en el período 2018-2023. Los temas de investigación dominantes han estado relacionados con las ciencias básicas sobre la estructura ecológica (temas como taxonomía, y biodiversidad, con 4.682 y 4.359 ocurrencias, respectivamente). Sin embargo, el cambio climático (575 ocurrencias en 2018-2023) está ganando importancia rápidamente. De hecho, el cambio climático se ha convertido en un tema básico de investigación, mientras que temas aplicados como fragmentación de ecosistemas, deforestación, anatomía de la madera, mortalidad, gestión forestal y teledetección se han convertido en los temas más prevalentes (como temas de nicho, motores o básicos) en los últimos dos años estudiados (2022-2023). Aspectos destacados de la investigación: Los científicos muestran cada vez más interés en temas aplicados relacionados con la gestión de especies tropicales maderables. Sin embargo, los científicos forestales están interesados principalmente en la investigación relacionada con la biodiversidad, la conservación y el cambio climático cuando estudian las especies de madera tropicales. Por eso, tales cuestiones deberían considerarse en los diálogos entre múltiples actores sobre la gestión sostenible de los bosques tropicales.
Descargas
Citas
Amano T, Berdejo-Espinola V, Akasaka M, et al., 2023. The role of non-English-language science in informing national biodiversity assessments. Nat Sust 6: 845-854. https://doi.org/10.1038/s41893-023-01087-8
Ameray A, Bergeron Y, Valeria O. et al., 2021. Forest Carbon Management: a Review of Silvicultural Practices and Management Strategies Across Boreal, Temperate and Tropical Forests. Curr Forestry Rep 7: 245–266. https://doi.org/10.1007/s40725-021-00151-w
Aria M, Cuccurullo C, 2017. Bibliometrix: An R-tool for comprehensive science mapping analysis. J Informetrics 11: 959–975. https://doi.org/10.1016/j.joi.2017.08.007
Armenteras D, González-Delgado TM, González-Trujillo JD, et al., 2023. Local stakeholder perceptions of forest degradation: Keys to sustainable tropical forest management. Ambio 52: 733–742. https://doi.org/10.1007/s13280-022-01797-x
Blanc S, Lingua F, Bioglio L, Pensa RG, Brun F, Mosso A. 2018. Implementing participatory processes in forestry training using social network analysis techniques. Forests 9: 463. https://doi.org/10.3390/f9080463
Blanco JA, Lo YH. 2023. Latest Trends in Modelling Forest Ecosystems: New Approaches or Just New Methods? Cur For Rep 9: 219–229. https://doi.org/10.1007/s40725-023-00189-y
Borgatti SP, Cross R. 2003. A relational view of information seeking and learning in social networks. Manage Sci 49: 432-445. https://www.jstor.org/stable/4133949
Borthakur A, Singh P. 2018. Global research trends in ‘Ecology’: A scientometric analysis. Trop Ecol 59: 431-443.
Brown K, Pearce DW (Eds.), 1994. The causes of tropical deforestation: the economic and statistical analysis of factors giving rise to the loss of the tropical forests. Routledge, London. 354 pp. https://doi.org/10.4324/9781003428190
Burivalova Z, Hua F, Koh LP, Garcia C, Putz F. 2017. A Critical Comparison of Conventional, Certified, and Community Management of Tropical Forests for Timber in Terms of Environmental, Economic, and Social Variables. Cons Lett 10: 4–14. https://doi.org/10.1111/conl.12244
Callon M, Courtial JP, Laville F. 1991. Co-word analysis as a tool for describing the network of interactions between basic and technological research: The case of polymer chemistry. Scientometrics 22: 155–205. https://doi.org/10.1007/BF02019280
Carmel Y. Kent R. Bar-Massada A. Blank L. Liberzon J. Nezer O. Sapir G. Federman R.2013. Trends in Ecological Research during the Last Three Decades - A Systematic Review. PLoS ONE 8: e59813. https://doi.org/10.1371/journal.pone.0059813
Chowdhury FI, Islam K, Faroque MA, Islam KN, et al., 2022. Assessing the impacts of co-management on protected area landscape under socio-imagery lens: evidence from Bangladesh. J Sust For 41(7): 553-572. https://doi.org/10.1080/10549811.2020.1747497
Cobo MJ, López-Herrera AG, Herrera-Viedma E, Herrera F. 2011. An approach for detecting, quantifying, and visualizing the evolution of a research field: A practical application to the Fuzzy Sets Theory field. J Informetrics 5: 146–166. https://doi.org/10.1016/j.joi.2010.10.002
Damasco G, Baraloto C, Vicentini A, Daly DC, Baldwin BG, Fine PV. 2021. Revisiting the hyperdominance of Neotropical tree species under a taxonomic, functional and evolutionary perspective. Sci Rep 11: 9585. https://doi.org/10.1038/s41598-021-88417-y
De Almeida DRA, Broadbent EN, Ferreira MP, Meli P, Zambrano AMA, Gorgens EB, et al., 2021. Monitoring restored tropical forest diversity and structure through UAV-borne hyperspectral and LIDAR fusion. Rem Sensing Environ 264: 112582. https://doi.org/10.1016/j.rse.2021.112582
De Lacerda AEB, Nimmo ER. 2010. Can we really manage tropical forests without knowing the species within? Getting back to the basics of forest management through taxonomy. For Ecol Manage 259: 995-1002. https://doi.org/10.1016/j.foreco.2009.12.005
Ducarme F, Flipo F, Couvet D. 2021. How the diversity of human concepts of nature affects conservation of biodiversity. Cons Biol 35: 1019-1028. https://doi.org/10.1111/cobi.13639
du Toit JT, Walker BH, Campbell BM. 2004. Conserving tropical nature: Current challenges for ecologists. Trends Ecol Evol 19(1): 12–17. https://doi.org/10.1016/j.tree.2003.09.018
Feurer M, Markovic J, Starke M, Wilkes-Allemann J, Wolf O. 2025. Drivers of deforestation and forest degradation between 1990 and 2023 – A global meta-analysis. Environ Sci Policy 173: 104242. https://doi.org/10.1016/j.envsci.2025.104242
ForestPlots.net, Blundo C, Carilla J, Grau R, Malizia A et al. 2021. Taking the pulse of Earth’s tropical forests using networks of highly distributed plots. Biol Cons 260: 108849. https://doi.org/10.1016/j.biocon.2020.108849
Gardner TA, Barlow J, Chazdon R, Ewers RM, Harvey CA, Peres CA, Sodhi NS. 2009. Prospects for tropical forest biodiversity in a human-modified world. Ecol Letters 12: 561-582. https://doi.org/10.1111/j.1461-0248.2009.01294.x
Ghanbarpour A, Naderi H. 2019. A model-based method to improve the quality of ranking in keyword search systems using pseudo-relevance feedback. J Information Sci 45: 473-487. https://doi.org/10.1177/01655515187996
Herrera-Alvarez X, Blanco JA, Phillips OL, Guadalupe V, Ortega-Lopez LD, ter Steege H, Rivas-Torres G. 2023. MADERA: A Standardized Pan-Amazonian Dataset for Tropical Timber Species. Ecology 104(9): e4135. https://doi.org/10.1002/ecy.4135
Herrera-Alvarez X. 2024. A modern approach to the concept of timber species from an Amazonian perspective. Dcotoral Thesis, Universidad Pública de Navarra, Pamplona, Spain.
Herrera-Alvarez X, Rivas-Torres G, Phillips OL, Guadalupe V, Blanco JA. 2025. Are tropical forest science and policy disconnected? Assessing the common understanding of the concept of “timber species” among different forest stakeholders in the Amazon. Ecosistemas 34(3): 3047. https://doi.org/10.7818/ECOS.3047
Hoang NT, Kanemoto K. 2021. Mapping the deforestation footprint of nations reveals growing threat to tropical forests. Nat Ecol Evol 5: 845–853. https://doi.org/10.1038/s41559-021-01417-z
Hodges, K. E. 2008. Defining the problem: terminology and progress in ecology. Front Ecol Environ 6(1): 35–42. https://doi.org/10.1890/060108
International Tropical Timber Organization [ITTO]. 2009. International Tropical Timber Organization Handbook (Issue November). Yokohama, Japan. 282 pp.
Kainer KA, DiGiano M, Duchelle AE, Wadt LHO, Bruna E, Dain JL, 2009. Partnering for greater success: Local stakeholders and research in tropical biology and conservation. Biotropica 41(5): 555–562. https://doi.org/10.1111/j.1744-7429.2009.00560.x
Laso Bayas JC. See L, Georgieva I, Schepaschenko D, Danylo O, Dürauer M et al., 2022. Drivers of tropical forest loss between 2008 and 2019. Sci Data 9(1): 146. https://doi.org/10.1038/s41597-022-01227-3
Lee, G. 2000. Analysis of human impact on humid, tropical forests in Jambi, Indonesia using satellite images, International Geoscience and Remote Sensing Symposium (IGARSS 2000) Honolulu (USA) July 26-28. 5: 1963–1965. https://doi.org/10.1109/igarss.2000.858202.
Levionnois S, Jansen S, Wandji RT, Beauchêne J, Ziegler C, Coste S. et al., 2021. Linking drought-induced xylem embolism resistance to wood anatomical traits in Neotropical trees. New Phytol 229: 1453-1466. https://doi.org/10.1111/nph.16942
Lidskog R, Sundqvist G. 2022. Lost in transformation: The Paris Agreement, the IPCC and the quest for national transformative change. Front Clim 4: 906054. https://doi.org/10.3389/fclim.2022.906054
Liu J, Slik F, Zheng S, Lindenmayer DB. 2022. Undescribed species have higher extinction risk than known species. Cons Letters 15: e12876. https://doi.org/10.1111/conl.12876
Löbl I, Klausnitzer B, Hartmann M, Krell, FT. 2023. The Silent Extinction of Species and Taxonomists—An Appeal to Science Policymakers and Legislators. Diversity 15: 1053. https://doi.org/10.3390/d15101053
Lucas FMF, Araujo ECG, Fiedler NC, da Silva Santana JA, Tetto AF. 2023. Perspective: scientific gaps on forest fires in Brazilian protected areas. For Ecol Manage 529: 120739. https://doi.org/10.1016/j.foreco.2022.120739
Marques MCM, Grelle CEV. 2021. The Atlantic Forest. History, Biodiversity, Threats and Opportunities of the Mega-diverse Forest. Springer. Switzerland. 517pp. https://doi.org/10.1007/978-3-030-55322-7
Mataveli G, de Oliveira G, Chaves ME, Dalagnol R, Wagner FH, Ipia AH, Silva-Junior CHL, Aragão LE. 2022. Science-based planning can support law enforcement actions to curb deforestation in the Brazilian Amazon. Cons Letters 15: e12908. https://doi.org/10.1111/conl.12908
Mitchard ETA. 2018. The tropical forest carbon cycle and climate change. Nature 559(7715): 527–534. https://doi.org/10.1038/s41586-018-0300-2
Oliveira EA, Oliveira MCL, Colosimo EA, et al., 2022. Global scientific production in the pre-Covid-19 Era: An analysis of 53 countries for 22 years. Anais Da Academia Brasileira De Ciências, 94(suppl 3): e20201428. https://doi.org/10.1590/0001-3765202220201428
Ottoni FP, Filgueira CTS, Lima BN, Vieira LO, Rangel-Pereira F, Oliveira RF. 2023. Extreme drought threatens the Amazon. Science 382: 1253-1253. https://doi.org/10.1126/science.adm8147
Petrokofsky G, Sist P, Blanc L, Doucet JL, et al., 2015. Comparative effectiveness of silvicultural interventions for increasing timber production and sustaining conservation values in natural tropical production forests: A systematic review protocol. Environ Evidence 4: 8. https://doi.org/10.1186/s13750-015-0034-7
Phillips OL. 2023. Sensing forests directly: The power of permanent plots. Plants, 12(21):3710. https://doi.org/10.3390/plants12213710
Poorter L, Craven D, Jakovac CC, Van Der Sande MT, Amissah L, Bongers F. et al., 2021. Multidimensional tropical forest recovery. Science 374: 1370-1376. https://doi.org/10.3390/plants12213710
Racelis A, Barsimantov J. 2013. Rethinking the Role of Tropical Forest Science in Forest Conservation and Management. In: Treetops at Risk. Lowman M, Devy S, Ganesh T. (eds) pp 81-91. Springer, New York, USA. https://doi.org/10.1007/978-1-4614-7161-5_6
Ramírez LF, Belcher BM. 2019. Stakeholder perceptions of scientific knowledge in policy processes: A Peruvian case study of forestry policy development. Sci Public Policy 46(4): 504–517. https://doi.org/10.1093/scipol/scz003
Singh SP. Sharma CM. 2009. Tropical ecology: an overview. Trop Ecol 50: 7-21.
Spärck Jones K. 1972. A statistical interpretation of term specificity and its application in retrieval. J Documentation 28(1): 11–21. https://dl.acm.org/doi/10.5555/106765.106782
Terryn L, Calders K, Bartholomeus H, Bartolo RE, Brede B, D’hont B, et al., 2022. Quantifying tropical forest structure through terrestrial and UAV laser scanning fusion in Australian rainforests. Rem Sensing Environ 271: 112912. https://doi.org/10.1016/j.rse.2022.112912
United Nations Framework Convention on Climate Change, 2016. Paris Agreement to the T.I.A.S. No. 16-1104. Availale at: https://unfccc.int/documents/184656
Venter O, Sanderson EW, Magrach A, et al., 2016. Sixteen years of change in the global terrestrial human footprint and implications for conservation priorities. PNAS 113(38): 8954–8959. https://doi.org/10.1038/ncomms12558
Zafra-Calvo N, Ortega U, Sertutxa U, Moreaux C. 2024. Identifying key actors, barriers and opportunities to lead a transition towards sustainable forest management: an application to the Basque Country, Spain. Trees For People 8: 100727. https://doi.org/10.1016/j.tfp.2024.100727
Zhou X, Fu Y, Zhou L, Li B, Luo Y. 2013. An imperative need for global change research in tropical forests. Tree Physiol 33: 903–912. https://doi.org/10.1111/gcb.12860
Derechos de autor 2026 Consejo Superior de Investigaciones Científicas (CSIC)

Esta obra está bajo licencia internacional Creative Commons Reconocimiento 4.0.
© CSIC. Los originales publicados en las ediciones impresa y electrónica de esta Revista son propiedad del Consejo Superior de Investigaciones Científicas, siendo necesario citar la procedencia en cualquier reproducción parcial o total.
Salvo indicación contraria, todos los contenidos de la edición electrónica se distribuyen bajo una licencia de uso y distribución “Creative Commons Reconocimiento 4.0 Internacional ” (CC BY 4.0). Consulte la versión informativa y el texto legal de la licencia. Esta circunstancia ha de hacerse constar expresamente de esta forma cuando sea necesario.
No se autoriza el depósito en repositorios, páginas web personales o similares de cualquier otra versión distinta a la publicada por el editor.









