Groenendijk P, Babst F, Trouet V, Fan ZX, Granato-Souza D, Locosselli GM, Mokria M, Panthi S, Pumijumnong N, Abiyu A, Acuña-Soto R, Adenesky-Filho E, Alfaro-Sánchez R, Anholetto Junior CR, Aragão JRV, Assis-Pereira G, Astudillo-Sánchez CC, Carolina Barbosa A, Barreto NdO, Battipaglia G, Beeckman H, Botosso PC, Bourland N, Bräuning A, Brienen R, Brookhouse M, Buajan S, Buckley BM, Camarero JJ, Carrillo-Parra A, Ceccantini G, Centeno-Erguera LR, Cerano-Paredes J, Cervantes-Martínez R, Chanthorn W, Chen YJ, Cintra BBL, Cornejo-Oviedo EH, Cortés-Cortés O, Costa CM, Couralet C, Crispin-DelaCruz DB, D'Arrigo R, David DA, De Ridder M, Del Valle JI, Díaz-Carrillo OA, Dobner M, Doucet JL, Dünisch O, Enquist BJ, Esemann-Quadros K, Esquivel-Arriaga G, Fayolle A, Fenilli TAB, Ferrero ME, Fichtler E, Finnegan PM, Fontana C, Francisco KS, Fu PL, Galvão F, Gebrekirstos A, Giraldo JA, Gloor E, Godoy-Veiga M, Guerra A, Haneca K, Harley GL, Heinrich I, Helle G, Hernández-Díaz JC, Hornink B, Hubau W, Inga JG, Islam M, Jiang Ym, Kaib M, Hassan Khamisi Z, Koprowski M, Layme E, Leffler AJ, Ligot G, Lisi CS, Loader NJ, Lobo FdA, Longhi-Santos T, Lopez L, López-Hernández MI, Lousada JLPC, Manzanedo RD, Marcon AK, Maxwell JT, Mendivelso HA, Mendoza-Villa ON, Menezes ÍRN, Montóia VR, Moors E, Moreno M, Muñiz-Castro MA, Nabais C, Nathalang A, Ngoma J, Nogueira FdC, Oliveira JM, Olmedo GM, Ortega-Rodriguez DR, Ortíz CER, Pagotto MA, Paredes-Villanueva K, Pérez-De-Lis G, Ponce Calderón LP, Portal-Cahuana LA, Pucha-Cofrep DA, Quadri P, Rahman M, Ramírez JA, Requena-Rojas EJ, Reyes-Flores J, Ribeiro AdS, Robertson I, Roig FA, Roquette JG, Rubio-Camacho EA, Sánchez-Salguero R, Sass-Klaassen U, Schöngart J, Scipioni MC, Sheppard PR, Silva LC, Slotta F, Soria-Díaz L, Sousa LK, Speer JH, Therrell MD, Ticse-Otarola G, Tomazello-Filho M, Torbenson MC, Tor-Ngern P, Touchan R, Van Den Bulcke J, Vázquez-Selem L, Velázquez-Pérez AH, Venegas-González A, Villalba R, Villanueva-Diaz J, Vlam M, Vourlitis G, Wehenkel C, Wils T, Zavaleta ES, Zewdu EA, Zhang YJ, Zhou ZK, Zuidema PA (2025)
Publication Type: Journal article, Review article
Publication year: 2025
Book Volume: 355
Article Number: 109233
DOI: 10.1016/j.quascirev.2025.109233
Tropical forests and woodlands are key components of the global carbon and water cycles. Yet, how climate change affects these biogeochemical cycles is poorly understood because of scarce long-term observations of tropical tree growth. The recent rise in tropical tree-ring studies may help to fill this gap, but a large-scale quantitative analysis of their potential in global change research is missing. We compiled a list of all tropical tree species known to form annual tree rings and built a network encompassing 492 tropical ring-width chronologies to evaluate the potential to generate insights on climate sensitivity of woody productivity and to build centuries-long reconstructions of climate variability. We assess chronology quality, length, and climatic representativeness and explore how these change along climatic gradients. Finally, we applied species-distribution modeling to identify regions with potential for tree-ring studies in ecological and climatic studies. The number of tropical chronologies has rapidly increased, with ∼400 added over the past two decades. Yet, tree-ring studies are biased towards high-elevation locations, with gaps in warmer and wetter climates, on the African continent, and for angiosperm species. The longest chronologies with strongest climate signals (i.e., synchronous growth variations among trees) are from cool regions. In wet regions, climate signals and precipitation sensitivity decrease. Most tropical regions harbor 5–15 (and up to 80) species with proven potential to generate chronologies. The potential for long climate reconstructions is particularly high in drier high elevation sites. Our findings support strategies to effectively expand tree-ring research in the tropics, by targeting specific species and regions. Tropical dendrochronology can importantly contribute to global change research by generating historical context of climate extremes, quantifying climate sensitivity of woody productivity and benchmarking vegetation models.
APA:
Groenendijk, P., Babst, F., Trouet, V., Fan, Z.X., Granato-Souza, D., Locosselli, G.M.,... Zuidema, P.A. (2025). The importance of tropical tree-ring chronologies for global change research. Quaternary Science Reviews, 355. https://doi.org/10.1016/j.quascirev.2025.109233
MLA:
Groenendijk, Peter, et al. "The importance of tropical tree-ring chronologies for global change research." Quaternary Science Reviews 355 (2025).
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