@article{fdi:010092711, title = {{T}all {B}ornean forests experience higher canopy disturbance rates than those in the eastern {A}mazon or {G}uiana shield}, author = {{J}ackson, {T}. {D}. and {F}ischer, {F}. {J}. and {V}incent, {G}r{\'e}goire and {G}orgens, {E}. {B}. and {K}eller, {M}. and {C}have, {J}. and {J}ucker, {T}. and {C}oomes, {D}. {A}.}, editor = {}, language = {{ENG}}, abstract = {{T}he future of tropical forests hinges on the balance between disturbance rates, which are expected to increase with climate change, and tree growth. {W}hereas tree growth is a slow process, disturbance events occur sporadically and tend to be short-lived. {T}his difference challenges forest monitoring to achieve sufficient resolution to capture tree growth, while covering the necessary scale to characterize disturbance rates. {A}irborne {L}i{DAR} time series can address this challenge by measuring landscape scale changes in canopy height at 1 m resolution. {I}n this study, we present a robust framework for analysing disturbance and recovery processes in {L}i{DAR} time series data. {W}e apply this framework to 8000 ha of old-growth tropical forests over a 4-5-year time frame, comparing growth and disturbance rates between {B}orneo, the eastern {A}mazon and the {G}uiana shield. {O}ur findings reveal that disturbance was balanced by growth in eastern {A}mazonia and the {G}uiana shield, resulting in a relatively stable mean canopy height. {I}n contrast, tall {B}ornean forests experienced a decrease in canopy height due to numerous small-scale (<0.1 ha) disturbance events outweighing the gains due to growth. {W}ithin sites, we found that disturbance rates were weakly related to topography, but significantly increased with maximum canopy height. {T}his could be because taller trees were particularly vulnerable to disturbance agents such as drought, wind and lightning. {C}onsequently, we anticipate that tall forests, which contain substantial carbon stocks, will be disproportionately affected by the increasing severity of extreme weather events driven by climate change.}, keywords = {{A}mazon ; {B}orneo ; canopy gaps ; disturbance ; {L}i{DAR} ; recovery ; tree ; mortality ; tropical forest ; {BORNEO} ; {BRESIL} ; {GUYANE} {FRANCAISE} ; {AMAZONIE}}, booktitle = {}, journal = {{G}lobal {C}hange {B}iology}, volume = {30}, numero = {9}, pages = {e17493 [14 ]}, ISSN = {1354-1013}, year = {2024}, DOI = {10.1111/gcb.17493}, URL = {https://www.documentation.ird.fr/hor/fdi:010092711}, }