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Summary Lightning strikes kill hundreds of millions of trees annually, but their role in shaping tree life history and diversity is largely unknown.Here, we use data from a unique lightning location system to show that some individual trees counterintuitively benefit from being struck by lightning.Lightning killed 56% of 93 directly struck trees and caused an average of 41% crown dieback among the survivors. However, among these struck trees, 10 direct strikes caused negligible damage toDipteryx oleiferatrees while killing 78% of their lianas and 2.1 Mg of competitor tree biomass. Nine trees of other long‐lived taxa survived lightning with similar benefits. On average, aD. oleiferatree > 60 cm in diameter is struck by lightning at least five times during its lifetime, conferring these benefits repeatedly. We estimate that the ability to survive lightning increases lifetime fecundity 14‐fold, largely because of reduced competition from lianas and neighboring trees. Moreover, the unusual heights and wide crowns ofD. oleiferaincrease the probability of a direct strike by 49–68% relative to trees of the same diameter with average allometries.These patterns suggest that lightning plays an underappreciated role in tree competition, life history strategies, and species coexistence. 

ABSTRACT Lightning is an important agent of tree mortality and gap formation. Here we quantified spatial and temporal patterns of lightning‐caused canopy disturbance in a 50‐ha plot in Panama using monthly drone imagery, and compared these patterns with field measurements of disturbance severity and spatial extent. Of 22 lightning strikes that we tracked, the impacts of 18 were monitored for at least 12 months (range of 17–50 months), and 67% of these 18 strikes led to canopy disturbances. The mean time for the first and last canopy disturbance to appear post‐strike was 8.2 months (range: 0.8–14 months) and 14.6 months (range: 0.8–23.9 months), respectively. Canopy disturbances were generally highly irregular in shape (i.e., not circular), and clustered around the rooting point of the directly struck tree. A mean of 43% (± 19%) of the total lightning‐associated canopy disturbance area was within 10 m of the rooting point, whereas only 3% (± 5%) occurred 30–40 m from this point. Drone‐based measurements of canopy disturbance area and volume were good predictors of variation in ground‐estimated dead biomass (r² = 0.48 and 0.46, respectively), reflecting their strong association with overstory dead biomass (r² = 0.42 and 0.41, respectively). The total drone‐estimated canopy disturbance area was 49% of the ground‐estimated canopy disturbance area. Thus, lightning typically causes canopy disturbances that are detectable with drone imagery despite their irregular shape, and drone‐detected gap formation lags 8–15 months poststrike, potentially disconnecting drone‐detected disturbances from their ultimate cause. 

Summary Vegetation demographic models (VDMs) endeavor to predict how global forests will respond to climate change. This requires simulating which trees, if any, are able to recruit under changing environmental conditions. We present a new recruitment scheme for VDMs in which functional‐type‐specific recruitment rates are sensitive to light, soil moisture and the productivity of reproductive trees.We evaluate the scheme by predicting tree recruitment for four tropical tree functional types under varying meteorology and canopy structure at Barro Colorado Island, Panama. We compare predictions to those of a current VDM, quantitative observations and ecological expectations.We find that the scheme improves the magnitude and rank order of recruitment rates among functional types and captures recruitment limitations in response to variable understory light, soil moisture and precipitation regimes.Our results indicate that adopting this framework will improve VDM capacity to predict functional‐type‐specific tree recruitment in response to climate change, thereby improving predictions of future forest distribution, composition and function. 

Summary The mortality rates of large trees are critical to determining carbon stocks in tropical forests, but the mechanisms of tropical tree mortality remain poorly understood. Lightning strikes thousands of tropical trees every day, but is commonly assumed to be a minor agent of tree mortality in most tropical forests.We use the first systematic quantification of lightning‐caused mortality to show that lightning is a major cause of death for the largest trees in an old‐growth lowland forest in Panama. A novel lightning strike location system together with field surveys of strike sites revealed that, on average, each strike directly kills 3.5 trees (> 10 cm diameter) and damages 11.4 more.Given lightning frequency data from the Earth Networks Total Lightning Network and historical total tree mortality rates for this site, we conclude that lightning accounts for 40.5% of the mortality of large trees (> 60 cm diameter) in the short term and probably contributes to an additional 9.0% of large tree deaths over the long term.Any changes in cloud‐to‐ground lightning frequency due to climatic change will alter tree mortality rates; projected 25–50% increases in lightning frequency would increase large tree mortality rates in this forest by 9–18%. The results of this study indicate that lightning plays a critical and previously underestimated role in tropical forest dynamics and carbon cycling.