Global Change Biology · 2020 · 90 citations · 70 references
Natural SciencesEcologyPlant SciencesClimate ScienceClimatologyPlant EcologyClimate ChangeForest GrowthAbiotic StressClimate Change Effects On ForestsForest Age StructureSeed Production TraitsStandardized Precipitation Evapotranspiration IndexStandardized Precipitation IndexTemporal VariabilityTree Age Structure
Masting-temporally variable seed production with high spatial synchrony-is a pervasive strategy in wind-pollinated trees that is hypothesized to be vulnerable to climate change due to its correlation with variability in abiotic conditions. Recent work suggests that aging may also have strong effects on seed production patterns of trees, but this potential confounding factor has not been considered in previous times series analysis of climate change effects. Using a 54 year dataset for seven dominant species in 17 forests across Poland, we used the proportion of seed-producing trees (PST) to contrast the predictions of the climate change and aging hypotheses in Abies alba, Fagus sylvatica, Larix decidua, Picea abies, Pinus sylvestris, Quercus petraea, and Quercus robur. Our results show that in all species, PST increased over time and that this change correlated most strongly with stand age, while the standardized precipitation-evapotranspiration index, a measure of drought, contributed to temporal trends in PST of F. sylvatica and Q. robur. Temporal variability of PST also increased over time in all species except P. sylvestris, while trends in temporal autocorrelation and among-stand synchrony reflect species-specific masting strategies. Our results suggest a pivotal role of plant ontogeny in driving not only the extent but also variability and synchrony of reproduction in temperate forest trees. In a time of increasing forest regrowth in Europe, we therefore call for increased attention to demographic effects such as aging on plant reproductive behavior, particularly in studies examining global change effects using long-term time series data.
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R: A Language and Environment for Statistical Computing
R Core Team · 2000 · 353K citations · Full text
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Global land change from 1982 to 2016
Xiao‐Peng Song, Matthew C. Hansen, Stephen V. Stehman et al. · Nature · 2018 · 1.9K citations · Full text
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Old-growth forests as global carbon sinks
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