52 citations as recorded by crossref.

1. Tree growth in West African cocoa agroforestry systems: high timber yields and superior performance of natural regeneration A. K. Kouassi et al. 10.1186/s13595-025-01286-7
2. Height-diameter allometric equations of an emergent tree species from the Congo Basin C. Kafuti et al. 10.1016/j.foreco.2021.119822
3. Big trees drive forest structure patterns across a lowland Amazon regrowth gradient T. Caron et al. 10.1038/s41598-021-83030-5
4. Sensitivity of Above-Ground Biomass Estimates to Height-Diameter Modelling in Mixed-Species West African Woodlands R. Valbuena et al. 10.1371/journal.pone.0158198
5. Mixed-Effects Height Prediction Model for Juniperus procera Trees from a Dry Afromontane Forest in Ethiopia M. Teshome et al. 10.3390/f15030443
6. A simulation method to infer tree allometry and forest structure from airborne laser scanning and forest inventories F. Fischer et al. 10.1016/j.rse.2020.112056
7. Evaluating Forest Ecosystem Services in the Greater Khingan Mountains Area Using Remote Sensing T. Gao et al. 10.34133/ehs.0163
8. TROLL 4.0: representing water and carbon fluxes, leaf phenology, and intraspecific trait variation in a mixed-species individual-based forest dynamics model – Part 2: Model evaluation for two Amazonian sites S. Schmitt et al. 10.5194/gmd-18-5205-2025
9. A new nonlinear model applied to the height-DBH relationship in Gmelina arborea W. Eby et al. 10.1016/j.foreco.2017.04.015
10. Temperature rising would slow down tropical forest dynamic in the Guiana Shield M. Aubry-Kientz et al. 10.1038/s41598-019-46597-8
11. Field methods for sampling tree height for tropical forest biomass estimation M. Sullivan et al. 10.1111/2041-210X.12962
12. Assessment of linear relationships between TanDEM-X coherence and canopy height as well as aboveground biomass in tropical forests M. Schlund & H. Boehm 10.1080/01431161.2020.1871101
13. Allometric Equations for Aboveground Biomass Estimation in Wet Miombo Forests of the Democratic Republic of the Congo Using Terrestrial LiDAR J. Muledi et al. 10.3390/environments12080260
14. Nutrient-cycling mechanisms other than the direct absorption from soil may control forest structure and dynamics in poor Amazonian soils O. Grau et al. 10.1038/srep45017
15. Model performance of tree height-diameter relationships in the central Congo Basin E. Kearsley et al. 10.1007/s13595-016-0611-0
16. The long-term performance of 35 tree species of sudanian West Africa in pure and mixed plantings B. Hérault et al. 10.1016/j.foreco.2020.118171
17. Allometric equations to estimate aboveground biomass of Dalbergia cearensis species in the Brazilian seasonally dry tropical forest F. Nogueira et al. 10.1016/j.foreco.2021.118920
18. Modeling Height–Diameter Allometric Relationships of Dominant African Oak (Afzelia africana Sm) From West African Dry Savannas L. Balima et al. 10.1155/ijfr/8109041
19. biomass: an r package for estimating above‐ground biomass and its uncertainty in tropical forests M. Réjou‐Méchain et al. 10.1111/2041-210X.12753
20. Inverting Aboveground Biomass–Canopy Texture Relationships in a Landscape of Forest Mosaic in the Western Ghats of India Using Very High Resolution Cartosat Imagery S. Pargal et al. 10.3390/rs9030228
21. Saturating allometric relationships reveal how wood density shapes global tree architecture T. Nguyen & M. Katabuchi 10.1007/s11676-025-01898-9
22. New insights on above ground biomass and forest attributes in tropical montane forests A. Cuni-Sanchez et al. 10.1016/j.foreco.2017.05.030
23. Landscape‐level validation of allometric relationships for carbon stock estimation reveals bias driven by soil type C. Beirne et al. 10.1002/eap.1987
24. Re‐evaluation of individual diameter : height allometric models to improve biomass estimation of tropical trees A. Ledo et al. 10.1002/eap.1450
25. Full and effective participation of indigenous peoples in forest monitoring for reducing emissions from deforestation and forest degradation (REDD+): trial in Panama's Darién J. Mateo‐Vega et al. 10.1002/ecs2.1635
26. Application of Random Forest Method Based on Sensitivity Parameter Analysis in Height Inversion in Changbai Mountain Forest Area X. Wang et al. 10.3390/f15071161
27. Weak Environmental Controls of Tropical Forest Canopy Height in the Guiana Shield Y. Goulamoussène et al. 10.3390/rs8090747
28. Height-diameter allometry and above ground biomass in tropical montane forests: Insights from the Albertine Rift in Africa G. Imani et al. 10.1371/journal.pone.0179653
29. Modelling the tree height-diameter relationship of Macedonian pine (Pinus peuce Gris.) forests in North Macedonia V. Tanovski et al. 10.17221/68/2023-JFS
30. Recovery of the forest’s protective effect after stand-replacing wind disturbances C. Moos et al. 10.1038/s41598-025-03090-9
31. Investigating above‐ground biomass in old‐growth and secondary montane forests of the Cameroon Highlands A. Ngute et al. 10.1111/aje.12719
32. Height–diameter allometry in African monodominant forest close to mixed forest G. Loubota Panzou et al. 10.1017/S0266467421000183
33. Canopy Height Model (CHM) Derived From a TanDEM-X InSAR DSM and an Airborne Lidar DTM in Boreal Forest Y. Sadeghi et al. 10.1109/JSTARS.2015.2512230
34. Mapping boreal forest biomass from a SRTM and TanDEM-X based on canopy height model and Landsat spectral indices Y. Sadeghi et al. 10.1016/j.jag.2017.12.004
35. Modeling height–diameter relationship for Populus euphratica in the Tarim riparian forest ecosystem, Northwest China T. Aishan et al. 10.1007/s11676-016-0222-5
36. Contrasted allometries between stem diameter, crown area, and tree height in five tropical biogeographic areas E. Blanchard et al. 10.1007/s00468-016-1424-3
37. Site form classification—a practical tool for guiding site-specific tropical forest landscape restoration and management H. Do et al. 10.1093/forestry/cpab046
38. Pre-commercial thinning in Norway spruce-birch mixed stands can provide abundant forage for ungulates without losing volume production M. Ara et al. 10.1016/j.foreco.2022.120364
39. In Situ Reference Datasets From the TropiSAR and AfriSAR Campaigns in Support of Upcoming Spaceborne Biomass Missions N. Labriere et al. 10.1109/JSTARS.2018.2851606
40. Pan‐tropical prediction of forest structure from the largest trees J. Bastin et al. 10.1111/geb.12803
41. The value of local allometries from airborne laser scanning for tropical forest biomass estimates C. Huertas et al. 10.24072/pcjournal.625
42. Spatial Structure of Above-Ground Biomass Limits Accuracy of Carbon Mapping in Rainforest but Large Scale Forest Inventories Can Help to Overcome S. Guitet et al. 10.1371/journal.pone.0138456
43. Incorporating stand parameters in nonlinear height-diameter mixed-effects model for uneven-aged Larix gmelinii forests M. Ismail et al. 10.3389/ffgc.2024.1491648
44. Taller trees, denser stands and greater biomass in semi-deciduous than in evergreen lowland central African forests A. Fayolle et al. 10.1016/j.foreco.2016.04.033
45. Transferability of an individual- and trait-based forest dynamics model: A test case across the tropics E. Rau et al. 10.1016/j.ecolmodel.2021.109801
46. Tropical tree height and crown allometries for the Barro Colorado Nature Monument, Panama: a comparison of alternative hierarchical models incorporating interspecific variation in relation to life history traits I. Martínez Cano et al. 10.5194/bg-16-847-2019
47. Asymptotic allometry and transition to the canopy inAbies balsamea Z. Wood et al. 10.1111/1365-2745.12465
48. Estimation of Above Ground Biomass in a Tropical Mountain Forest in Southern Ecuador Using Airborne LiDAR Data V. González-Jaramillo et al. 10.3390/rs10050660
49. Predicting total and component biomass of Chinese fir using a forecast combination method X. Zhang et al. 10.3832/ifor2243-010
50. Shifts in tree allometry in a tropical dry forest: implications for above-ground biomass estimation G. Ramírez-Ramírez et al. 10.17129/botsci.2101
51. Incorporating Canopy Cover for Airborne-Derived Assessments of Forest Biomass in the Tropical Forests of Cambodia M. Singh et al. 10.1371/journal.pone.0154307
52. A New Method for Generating a Global Forest Aboveground Biomass Map From Multiple High-Level Satellite Products and Ancillary Information L. Yang et al. 10.1109/JSTARS.2020.2987951