Research trends related to tropical timber species for the last four decades through scientometric analyses

Keywords: co-word analysis, forest actors, research trends, stakeholders’ dialogue, tropical forests

Abstract

Aim of study: Dialogue among stakeholders is key for implementing sustainable forest management in tropical forests. However, in such multi-actor processes, the role and interest of a key stakeholder such as scientists is often overlooked. Hence, the aim of this work was to analyse the topics that forest scientists have related the most to the concept of “tropical timber species” during the last four decades. Area of study: World´s tropical forests. Material and methods: Scientometric analyses (co-word analysis), using Bibliometrix and Biblioshiny R packages with Web of Science (WoS) and Scopus databases. Main results: A total of 35,204 documents were identified that used the “tropical timber species” concept. Scientific productivity grew from one occurrence in 1980 to 31,457 occurrences by 2023, with 40% of all relevant scientific productivity generated in the 2018-2023 period. Dominant research themes were related to basic science on ecological structure (topics such as taxonomy and biodiversity, with 4,682 and 4,359 occurrences, respectively). However, climate change is quickly growing in importance (575 occurrences in 2018-2023). In fact, climate change has become a basic research topic, while applied themes such as ecosystem fragmentation, deforestation, forest management and remote sensing have become the themes more prevalent (as niche, motor or basic themes) in the last two years studied (2022-2023). Research highlights: Scientists are increasingly showing interest in applied topics related to management of tropical timber species. However, forest scientists are also mostly interested in research related to biodiversity, conservation and climate change when studying tropical timber species. Hence, such issues should be taken into account in multi-actor dialogues on sustainable tropical forest management.

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References

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

Published
2026-07-28
How to Cite
Herrera-Alvarez, X., Rivas-Torres, G., Phillips, O. L., Guadalupe, V., & Blanco, J. A. (2026). Research trends related to tropical timber species for the last four decades through scientometric analyses. Forest Systems, 35(1), 21091. https://doi.org/10.5424/fs/2026351-21091
Section
Special Issue: Smart Forestry for Improving Territory Alliances