Interactions between the atmosphere and terrestrial ecosystems: influence on weather and climate

Pielke, Roger A.; Sr, .; Avissar, Roni; Raupach, Michael; Dolman, A.J.; Zeng, Xubin; Denning, Scott

doi:10.1046/j.1365-2486.1998.t01-1-00176.x

Cited by 515 publications

(294 citation statements)

References 190 publications

(204 reference statements)

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“…There is also increasing interest in how these phenological shifts may affect ecosystem processes and services (Gu et al 2003;Morisette et al 2009;Noormets 2009). Related to this are important questions about how phenology mediates feedbacks of terrestrial ecosystems to the climate system (Schwartz 1992;Moore et al 1996;Hogg et al 2000), as for example through seasonal variation in albedo, partitioning of available energy to latent and sensible heat fluxes, and vegetation-atmosphere exchange of carbon dioxide and other greenhouse gases (Hayden 1998;Pielke et al 1998;Chapin et al 2000). However, there are still large uncertainties about the magnitude of these feedbacks, and how they may be influenced by ongoing climate change (Peñ uelas et al 2009).…”

Section: Introductionmentioning

confidence: 99%

Influence of spring and autumn phenological transitions on forest ecosystem productivity

Richardson

Black

Ciais

et al. 2010

Phil. Trans. R. Soc. B

797

566

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We use eddy covariance measurements of net ecosystem productivity (NEP) from 21 FLUXNET sites (153 site-years of data) to investigate relationships between phenology and productivity (in terms of both NEP and gross ecosystem photosynthesis, GEP) in temperate and boreal forests. Results are used to evaluate the plausibility of four different conceptual models. Phenological indicators were derived from the eddy covariance time series, and from remote sensing and models. We examine spatial patterns (across sites) and temporal patterns (across years); an important conclusion is that it is likely that neither of these accurately represents how productivity will respond to future phenological shifts resulting from ongoing climate change. In spring and autumn, increased GEP resulting from an 'extra' day tends to be offset by concurrent, but smaller, increases in ecosystem respiration, and thus the effect on NEP is still positive. Spring productivity anomalies 3227This journal is q 2010 The Royal Society on May 11, 2018 http://rstb.royalsocietypublishing.org/ Downloaded from appear to have carry-over effects that translate to productivity anomalies in the following autumn, but it is not clear that these result directly from phenological anomalies. Finally, the productivity of evergreen needleleaf forests is less sensitive to phenology than is productivity of deciduous broadleaf forests. This has implications for how climate change may drive shifts in competition within mixedspecies stands.

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Section: Introductionmentioning

confidence: 99%

Influence of spring and autumn phenological transitions on forest ecosystem productivity

Richardson

Black

Ciais

et al. 2010

Phil. Trans. R. Soc. B

797

566

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“…The land surface is an important component of the climate system, providing the lower boundary for the atmosphere and exchanging energy, water and carbon (C) with the atmosphere (Pielke et al, 1998;Pitman, 2003;Seneviratne and Stöckli, 2008). It also controls the partitioning of available energy (into latent and sensible heat) and water (into evaporation and runoff) at the surface (Bonan, 2008).…”

Section: Introductionmentioning

confidence: 99%

Global evaluation of gross primary productivity in the JULES land surface model v3.4.1

et al. 2017

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Abstract. This study evaluates the ability of the JULES land surface model (LSM) to simulate gross primary productivity (GPP) on regional and global scales for [2001][2002][2003][2004][2005][2006][2007][2008][2009][2010]. Model simulations, performed at various spatial resolutions and driven with a variety of meteorological datasets (WFDEI-GPCC, WFDEI-CRU and PRINCETON), were compared to the MODIS GPP product, spatially gridded estimates of upscaled GPP from the FLUXNET network (FLUXNET-MTE) and the CARDAMOM terrestrial carbon cycle analysis. Firstly, when JULES was driven with the WFDEI-GPCC dataset (at 0.5 • × 0.5 • spatial resolution), the annual average global GPP simulated by JULES for 2001-2010 was higher than the observation-based estimates (MODIS and FLUXNET-MTE), by 25 and 8 %, respectively, and CAR-DAMOM estimates by 23 %. JULES was able to simulate the standard deviation of monthly GPP fluxes compared to CARDAMOM and the observation-based estimates on global scales. Secondly, GPP simulated by JULES for various biomes (forests, grasslands and shrubs) on global and regional scales were compared. Differences among JULES, MODIS, FLUXNET-MTE and CARDAMOM on global scales were due to differences in simulated GPP in the tropics. Thirdly, it was shown that spatial resolution (0.5 • × 0.5 • , 1 • × 1 • and 2 • × 2 • ) had little impact on simulated GPP on these large scales, with global GPP ranging from 140 to 142 PgC year −1 . Finally, the sensitivity of JULES to meteorological driving data, a major source of model uncertainty, was examined. Estimates of annual average global GPP were higher when JULES was driven with the PRINCETON meteorological dataset than when driven with the WFDEI-GPCC dataset by 3 PgC year −1 . On regional scales, differences between the two were observed, with the WFDEI-GPCC-driven model simulations estimating higher GPP in the tropics (5 • N-5 • S) and the PRINCETON-driven model simulations estimating higher GPP in the extratropics (30-60 • N).

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“…A clear understanding of the relationships between ecological and hydrological components is essential to estimate the dynamics of ecological processes (Santos and Negri 1997;Pielke et al 1998;Fisher et al 2009;Konings and Gentine 2017). However, the direct relationships between these components have not been intensively studied owing to the paucity of regional datasets (Méndez-Barroso et al 2009).…”

Section: Introductionmentioning

confidence: 99%

Ecosystem-dynamics link to hydrologic variations for different land-cover types

Choi¹,

Mu²,

Kim³

et al. 2017

Terr. Atmos. Ocean. Sci.

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The soil moisture and evapotranspiration (ET) influence on ecosystem dynamics has been studied only in a limited way owing to the lack of large-scale measurements. The Normalized Difference Vegetation Index (NDVI) data retrieved using the Moderate Resolution Imaging Spectroradiometer (MODIS) was successfully used in this study to identify the ecological relationships that involve soil moisture and ET at 132 sites located on different continents around the world. Optimal relationships exist between NDVI and soil moisture within time lags of 10 days at forest and grassland sites, and 25 days at cropland and shrub land sites. The ecological correlations between NDVI and the hydrological variables are affected mainly by the land-cover type. The densely vegetated areas show shorter time lags for NDVI to ET owing to canopy evaporation and plant transpiration, which are almost simultaneous with NDVI.

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Interactions between the atmosphere and terrestrial ecosystems: influence on weather and climate

Cited by 515 publications

References 190 publications

Influence of spring and autumn phenological transitions on forest ecosystem productivity

Influence of spring and autumn phenological transitions on forest ecosystem productivity

Global evaluation of gross primary productivity in the JULES land surface model v3.4.1

Ecosystem-dynamics link to hydrologic variations for different land-cover types

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