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David S Schimel

Publications and source records attributed to David S Schimel.

3 recordsLinked to original sources
PubMed2006

Divergence of reproductive phenology under climate warming.

Because the flowering and fruiting phenology of plants is sensitive to environmental cues such as temperature and moisture, climate change is likely to alter community-level patterns of reproductive phenology. Here we report a previously unreported phenomenon: experimental warming advanced flowering and fruiting phenology for species that began to flower before the peak of summer heat but delayed reproduction in species that started flowering after the peak temperature in a tallgrass prairie in North America. The warming-induced divergence of flowering and fruiting toward the two ends of the growing season resulted in a gap in the staggered progression of flowering and fruiting in the community during the middle of the season. A double precipitation treatment did not significantly affect flowering and fruiting phenology. Variation among species in the direction and magnitude of their response to warming caused compression and expansion of the reproductive periods of different species, changed the amount of overlap between the reproductive phases, and created possibilities for an altered selective environment to reshape communities in a future warmed world.

Climate↗
PubMed2006

Coupling between carbon cycling and climate in a high-elevation, subalpine forest: a model-data fusion analysis.

Fundamental questions exist about the effects of climate on terrestrial net ecosystem CO(2) exchange (NEE), despite a rapidly growing body of flux observations. One strategy to clarify ecosystem climate-carbon interactions is to partition NEE into its component fluxes, gross ecosystem CO(2) exchange (GEE) and ecosystem respiration (R (E)), and evaluate the responses to climate of each component flux. We separated observed NEE into optimized estimates of GEE and R (E) using an ecosystem process model combined with 6 years of continuous flux data from the Niwot Ridge AmeriFlux site. In order to gain further insight into the processes underlying NEE, we partitioned R (E) into its components: heterotrophic (R (H)) and autotrophic (R (A)) respiration. We were successful in separating GEE and R (E), but less successful in accurately partitioning R (E) into R (A) and R (H). Our failure in the latter was due to a lack of adequate contrasts in the assimilated data set to distinguish between R (A) and R (H). We performed most model runs at a twice-daily time step. Optimizing on daily-aggregated data severely degraded the model's ability to separate GEE and R (E). However, we gained little benefit from using a half-hourly time step. The model-data fusion showed that most of the interannual variability in NEE was due to variability in GEE, and not R (E). In contrast to several previous studies in other ecosystems, we found that longer growing seasons at Niwot Ridge were correlated with less net CO(2) uptake, due to a decrease of available snow-melt water during the late springtime photosynthetic period. Warmer springtime temperatures resulted in increased net CO(2) uptake only if adequate moisture was available; when warmer springtime conditions led into mid-summer drought, the annual net uptake declined.

Altitude↗