91 citations as recorded by crossref.

1. Drivers of woody canopy water content responses to drought in a Mediterranean‐type ecosystem T. Paz‐Kagan & G. Asner https://doi.org/10.1002/eap.1603
2. Monitoring long-term forest dynamics with scarce data: a multi-date classification implementation in the Ecuadorian Amazon F. Santos et al. https://doi.org/10.1080/22797254.2018.1533793
3. What mediates tree mortality during drought in the southern Sierra Nevada? T. Paz‐Kagan et al. https://doi.org/10.1002/eap.1620
4. Predictive Habitat Model Reveals Specificity in a Broadly Distributed Forest Raptor, The Harpy Eagle J. Vargas González et al. https://doi.org/10.3356/0892-1016-54.4.349
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8. Performance, effectiveness and computational efficiency of powerline extraction methods for quantifying ecosystem structure from light detection and ranging Y. Shi & W. Kissling https://doi.org/10.1080/15481603.2023.2260637
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13. Long‐term fragmentation effects on the distribution and dynamics of canopy gaps in a tropical montane forest N. Vaughn et al. https://doi.org/10.1890/ES15-00235.1
14. Amazonian landscapes and the bias in field studies of forest structure and biomass D. Marvin et al. https://doi.org/10.1073/pnas.1412999111
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16. Towards rapid assessments of tree species diversity and structure in fragmented tropical forests: A review of perspectives offered by remotely-sensed and field-based data E. Ganivet & M. Bloomberg https://doi.org/10.1016/j.foreco.2018.09.003
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19. Analysis of forest structural complexity using airborne LiDAR data and aerial photography in a mixed conifer–broadleaf forest in northern Japan S. Jayathunga et al. https://doi.org/10.1007/s11676-017-0441-4
20. Forest cover modulates diversity and morphological traits of ants in highly fragmented tropical forest landscapes D. Ahuatzin et al. https://doi.org/10.1007/s10531-022-02428-3
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22. Mapping Tropical Dry Forest Gradients in an Andean Region with High Environmental Variability J. Camilo Fagua & P. Jantz https://doi.org/10.1016/j.ecolind.2024.112744
23. Soil microbial nutrient constraints along a tropical forest elevation gradient: a belowground test of a biogeochemical paradigm A. Nottingham et al. https://doi.org/10.5194/bg-12-6071-2015
24. Effects of endogenous and exogenous processes on aboveground biomass stocks and dynamics in Andean forests M. Peña et al. https://doi.org/10.1007/s11258-018-0895-2
25. Soils and rainfall drive landscape‐scale changes in the diversity and functional composition of tree communities in premontane tropical forest C. Prada et al. https://doi.org/10.1111/jvs.12540
26. Leaf traits and canopy structure together explain canopy functional diversity: an airborne remote sensing approach A. Kamoske et al. https://doi.org/10.1002/eap.2230
27. Why do classification models go wrong? The importance of adaptations and acclimations in driving landscape-level spectral variation in Fremont cottonwood M. Seeley et al. https://doi.org/10.1016/j.rse.2026.115240
28. Rainfall and fog interception at the lower and upper altitudinal limits of cloud forest in Veracruz, Mexico T. González‐Martínez & F. Holwerda https://doi.org/10.1002/hyp.13299
29. New Zealand Fern Distributions from the Last Glacial Maximum to 2070: A Dynamic Tale of Migration and Community Turnover J. Watts & J. Watkins https://doi.org/10.1640/0002-8444-112.4.354
30. The role of stand structure and palm abundance in predicting above-ground biomass at local scale in southern Amazonia M. Scaranello et al. https://doi.org/10.1080/17550874.2016.1264015
31. Mountains and traits: environmental heterogeneity and mammal assemblages along an elevational gradient in the Northern Andes J. Mena & V. Pacheco https://doi.org/10.1080/01650521.2020.1851345
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33. Savanna ecosystem structure and productivity along a rainfall gradient: the role of competition and stress tolerance mediated by plant functional traits P. Paudel et al. https://doi.org/10.5194/bg-22-6153-2025
34. The variation of productivity and its allocation along a tropical elevation gradient: a whole carbon budget perspective Y. Malhi et al. https://doi.org/10.1111/nph.14189
35. Landscape-scale variation in canopy water content of giant sequoias during drought T. Paz-Kagan et al. https://doi.org/10.1016/j.foreco.2017.11.018
36. Source to sink: Evolution of lignin composition in the Madre de Dios River system with connection to the Amazon basin and offshore X. Feng et al. https://doi.org/10.1002/2016JG003323
37. Patterns and mechanisms of spatial variation in tropical forest productivity, woody residence time, and biomass H. Muller‐Landau et al. https://doi.org/10.1111/nph.17084
38. Functional Trait Variation Among and Within Species and Plant Functional Types in Mountainous Mediterranean Forests N. Fyllas et al. https://doi.org/10.3389/fpls.2020.00212
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40. Functional leaf traits in congeneric species of tree communities in central Amazon L. Esteves et al. https://doi.org/10.1016/j.flora.2023.152434
41. Terrain Ruggedness and Canopy Height Predict Short-Range Dispersal in the Critically Endangered Black-and-White Ruffed Lemur A. Mancini et al. https://doi.org/10.3390/genes14030746
42. Vertical stratification patterns of tropical forest vertebrates: a meta‐analysis E. Basham et al. https://doi.org/10.1111/brv.12896
43. Geomorphic regime modulates hydrologic control of chemical weathering in the Andes–Amazon M. Torres et al. https://doi.org/10.1016/j.gca.2015.06.007
44. Reduced tree density and basal area in Andean forests are associated with bamboo dominance B. Fadrique et al. https://doi.org/10.1016/j.foreco.2020.118648
45. Tree community composition, structure and diversity along an elevational gradient in an Andean forest of Northern Ecuador R. Jiménez-Paz et al. https://doi.org/10.1007/s11629-020-6479-3
46. Vegetation structural complexity and biodiversity in the Great Smoky Mountains J. Walter et al. https://doi.org/10.1002/ecs2.3390
47. The Influence of Ecosystem and Phylogeny on Tropical Tree Crown Size and Shape A. Shenkin et al. https://doi.org/10.3389/ffgc.2020.501757
48. Vertical Canopy Gap Profiles Reveal Structural Divergence Among Central African Old-Growth Forest Types T. Nguba et al. https://doi.org/10.3390/rs18142431
49. The Global Ecosystems Monitoring network: Monitoring ecosystem productivity and carbon cycling across the tropics Y. Malhi et al. https://doi.org/10.1016/j.biocon.2020.108889
50. Vegetation patterns and competitive dynamics along elevation gradients: interactions between environmental factors and vegetation in the Central Himalayas P. Paudel et al. https://doi.org/10.5194/bg-23-4999-2026
51. Assessing trait‐based scaling theory in tropical forests spanning a broad temperature gradient B. Enquist et al. https://doi.org/10.1111/geb.12645
52. Estimation of six leaf traits of East Asian forest tree species by leaf spectroscopy and partial least square regression T. Nakaji et al. https://doi.org/10.1016/j.rse.2019.111381
53. Aboveground biomass mapping of African forest mosaics using canopy texture analysis: toward a regional approach J. Bastin et al. https://doi.org/10.1890/13-1574.1
54. Combining behavioural and LiDAR data to reveal relationships between canopy structure and orangutan nest site selection in disturbed forests A. Davies et al. https://doi.org/10.1016/j.biocon.2019.01.032
55. Tropical montane cloud forest: environmental drivers of vegetation structure and ecosystem function T. Fahey et al. https://doi.org/10.1017/S0266467415000176
56. Leaf‐level photosynthetic capacity in lowland Amazonian and high‐elevation Andean tropical moist forests of Peru N. Bahar et al. https://doi.org/10.1111/nph.14079
57. Temperature sensitivity of soil enzymes along an elevation gradient in the Peruvian Andes A. Nottingham et al. https://doi.org/10.1007/s10533-015-0176-2
58. Landscape-scale changes in forest canopy structure across a partially logged tropical peat swamp B. Wedeux & D. Coomes https://doi.org/10.5194/bg-12-6707-2015
59. Local and Regional Effects of Land-Use Intensity on Aboveground Biomass and Tree Diversity in Tropical Montane Cloud Forests A. Uscanga et al. https://doi.org/10.1007/s10021-023-00861-1
60. Tree growth and aboveground biomass in a tropical mountain forest thirty years after selective logging in Sarawak, Borneo R. Laing et al. https://doi.org/10.1016/j.gecco.2021.e01461
61. Bryophyte stable isotope composition, diversity and biomass define tropical montane cloud forest extent A. Horwath et al. https://doi.org/10.1098/rspb.2018.2284
62. Carbon stock of Banja forest in Banja district, Amhara region, Ethiopia: An implication for climate change mitigation F. Abere et al. https://doi.org/10.1080/10549811.2017.1332646
63. Erosion of organic carbon from the Andes and its effects on ecosystem carbon dioxide balance K. Clark et al. https://doi.org/10.1002/2016JG003615
64. Toward a general theory of plant carbon economics M. Castorena et al. https://doi.org/10.1016/j.tree.2022.05.007
65. Targeted carbon conservation at national scales with high-resolution monitoring G. Asner et al. https://doi.org/10.1073/pnas.1419550111
66. Microbes follow Humboldt: temperature drives plant and soil microbial diversity patterns from the Amazon to the Andes A. Nottingham et al. https://doi.org/10.1002/ecy.2482
67. Mapping Floristic Patterns of Trees in Peruvian Amazonia Using Remote Sensing and Machine Learning P. Chaves et al. https://doi.org/10.3390/rs12091523
68. Solar radiation and functional traits explain the decline of forest primary productivity along a tropical elevation gradient N. Fyllas et al. https://doi.org/10.1111/ele.12771
69. A Bibliometric Analysis of Forest Gap Research during 1980–2021 J. Xie et al. https://doi.org/10.3390/su15031994
70. Where Himalayan Forests Are More (or Less) Complex than Their Height Suggests: An Uncertainty-Aware GEDI Indicator for Monitoring and Management N. Mishra & G. Chaudhuri https://doi.org/10.3390/rs18081222
71. Incorporating small‐scale disturbances in models of forest structure and aboveground biomass of tropical mountains A. Uscanga et al. https://doi.org/10.1002/ecs2.4744
72. Seeing the Disturbed Forest for the Trees: Remote Sensing Is Underutilized to Quantify Critical Zone Response to Unprecedented Disturbance K. Hwang et al. https://doi.org/10.1029/2022EF003314
73. Estimation of Above Ground Biomass in a Tropical Mountain Forest in Southern Ecuador Using Airborne LiDAR Data V. González-Jaramillo et al. https://doi.org/10.3390/rs10050660
74. Tropical montane forests are a larger than expected global carbon store D. Spracklen & R. Righelato https://doi.org/10.5194/bg-11-2741-2014
75. Should topographic metrics be considered when predicting species density of birds on a large geographical scale? A case of Random Forest approach J. Kosicki https://doi.org/10.1016/j.ecolmodel.2017.01.024
76. Research Priorities for the Conservation and Sustainable Governance of Andean Forest Landscapes S. Mathez-Stiefel et al. https://doi.org/10.1659/MRD-JOURNAL-D-16-00093.1
77. Developing a more complete understanding of tropical montane forest disturbance ecology through landslide research C. Freund & M. Silman https://doi.org/10.3389/ffgc.2023.1091387
78. LiDAR Helps Differentiate Stand Health and Productivity Levels within a Northern Hardwood Forest C. Hansen et al. https://doi.org/10.4236/ojf.2020.101006
79. Does Land Use Age Influence Carbon Cycling in the Tibetan Plateau? M. Justine et al. https://doi.org/10.1029/2019JG005295
80. Scale dependence of canopy trait distributions along a tropical forest elevation gradient G. Asner et al. https://doi.org/10.1111/nph.14068
81. Assessing Earthquake-Induced Tree Mortality in Temperate Forest Ecosystems: A Case Study from Wenchuan, China H. Zeng et al. https://doi.org/10.3390/rs8030252
82. High sensitivity of tropical forest birds to deforestation at lower altitudes S. Mills et al. https://doi.org/10.1002/ecy.3867
83. Distribution and Community Assembly of Trees Along an Andean Elevational Gradient S. Worthy et al. https://doi.org/10.3390/plants8090326
84. Uncovering the Hidden Carbon Treasures of the Philippines’ Towering Mountains: A Synergistic Exploration Using Satellite Imagery and Machine Learning R. Altarez et al. https://doi.org/10.1007/s41064-023-00264-w
85. Airborne LiDAR and Photogrammetric Point Cloud Fusion for Extraction of Urban Tree Metrics According to Street Network Segmentation W. Yang et al. https://doi.org/10.1109/ACCESS.2021.3094307
86. Bamboo climatic tolerances are decoupled from leaf functional traits across an Andean elevation gradient B. Fadrique et al. https://doi.org/10.1111/oik.09229
87. Habitat type affects the diversity of dung beetle (Coleoptera: Scarabaeidae) assemblages in a neotropical mountainous region of Colombia R. Salomão et al. https://doi.org/10.1007/s42690-023-00987-8
88. Canopy structure drives orangutan habitat selection in disturbed Bornean forests A. Davies et al. https://doi.org/10.1073/pnas.1706780114
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90. Tropical forests are mainly unstratified especially in Amazonia and regions with lower fertility or higher temperatures C. Doughty et al. https://doi.org/10.1088/2752-664X/ace723
91. Mapping tropical forest canopy diversity using high‐fidelity imaging spectroscopy J. Féret & G. Asner https://doi.org/10.1890/13-1824.1