Historical land-use-induced evapotranspiration changes estimated from present-day observations and reconstructed land-cover maps

Boisier, Juan Pablo; Noblet‐Ducoudré, Nathalie de; Ciais, Philippe

doi:10.5194/hess-18-3571-2014

Cited by 36 publications

(30 citation statements)

References 52 publications

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“…Our results suggest that the CLM represents the observed changes in R net and G well, but there remain issues in simulating the energy partitioning between LE and H , which also further confirms the large uncertainties in simulated ET responses to LULCC revealed in several recent studies (e.g., Pitman et al, 2009;Boisier et al, 2012Boisier et al, , 2014de NobletDucoudré et al, 2012;Vanden Broucke et al, 2015). Based on the observations, deforestation generally leads to a decrease in summer daytime R net , accompanied by decreased LE and H .…”

Section: Discussionsupporting

confidence: 69%

“…Information about the variables used from FLUXNET2015. The marginal distribution sampling (MDS) filling method is based on Reichstein et al (2005), and the ERA-Interim filling method can be found in Vuichard and Papale (2015 ration (ET), and land surface temperature changes due to historical LULCC (Boisier et al, , 2014 and the climatic effects of forest (Li et al, 2015). Meanwhile, the development of FLUXNET (Baldocchi et al, 2001) enables the study of land surface responses to different land-cover types based on paired field observations from neighboring flux towers over forest and open land (Juang et al, 2007;Lee et al, 2011;Luyssaert et al, 2014;Teuling et al, 2010;Williams et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

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Pairing FLUXNET sites to validate model representations of land-use/land-cover change

Chen

Dirmeyer

Guo

et al. 2018

Hydrol. Earth Syst. Sci.

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Abstract. Land surface energy and water fluxes play an important role in land-atmosphere interactions, especially for the climatic feedback effects driven by land-use/landcover change (LULCC). These have long been documented in model-based studies, but the performance of land surface models in representing LULCC-induced responses has not been investigated well. In this study, measurements from proximate paired (open versus forest) flux tower sites are used to represent observed deforestation-induced changes in surface fluxes, which are compared with simulations from the Community Land Model (CLM) and the Noah MultiParameterization (Noah-MP) land model. Point-scale simulations suggest the CLM can represent the observed diurnal and seasonal changes in net radiation (R net ) and ground heat flux (G), but difficulties remain in the energy partitioning between latent (LE) and sensible (H ) heat flux. The CLM does not capture the observed decreased daytime LE, and overestimates the increased H during summer. These deficiencies are mainly associated with models' greater biases over forest land-cover types and the parameterization of soil evaporation. Global gridded simulations with the CLM show uncertainties in the estimation of LE and H at the grid level for regional and global simulations. Noah-MP exhibits a similar ability to simulate the surface flux changes, but with larger biases in H , G, and R net change during late winter and early spring, which are related to a deficiency in estimating albedo. Differences in meteorological conditions between paired sites is not a factor in these results. Attention needs to be devoted to improving the representation of surface heat flux processes in land models to increase confidence in LULCC simulations.

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Section: Discussionsupporting

confidence: 69%

Section: Introductionmentioning

confidence: 99%

Pairing FLUXNET sites to validate model representations of land-use/land-cover change

Chen

Dirmeyer

Guo

et al. 2018

Hydrol. Earth Syst. Sci.

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“…The replacement of natural vegetation also changes ET (Boisier et al, 2014) and LST because the surface biophysical variables (i.e. surface albedo, LST, emissivity and indirectly leaf area index (LAI) and normalized difference vegetation index (NDVI)) are interconnected through the surface radiation balance.…”

Section: Introductionmentioning

confidence: 99%

Expansion of oil palm and other cash crops causes an increase of the land surface temperature in the Jambi province in Indonesia

et al. 2017

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Abstract. Indonesia is currently one of the regions with the highest transformation rate of land surface worldwide related to the expansion of oil palm plantations and other cash crops replacing forests on large scales. Land cover changes, which modify land surface properties, have a direct effect on the land surface temperature (LST), a key driver for many ecological functions. Despite the large historic land transformation in Indonesia toward oil palm and other cash crops and governmental plans for future expansion, this is the first study so far to quantify the impacts of land transformation on the LST in Indonesia. We analyze LST from the thermal band of a Landsat image and produce a highresolution surface temperature map (30 m) for the lowlands of the Jambi province in Sumatra (Indonesia), a region which suffered large land transformation towards oil palm and other cash crops over the past decades. The comparison of LST, albedo, normalized differenced vegetation index (NDVI) and evapotranspiration (ET) between seven different land cover types (forest, urban areas, clear-cut land, young and mature oil palm plantations, acacia and rubber plantations) shows that forests have lower surface temperatures than the other land cover types, indicating a local warming effect after forest conversion. LST differences were up to 10.1 ± 2.6 • C (mean ± SD) between forest and clear-cut land. The differences in surface temperatures are explained by an evaporative cooling effect, which offsets the albedo warming effect.Our analysis of the LST trend of the past 16 years based on MODIS data shows that the average daytime surface temperature in the Jambi province increased by 1.05 • C, which followed the trend of observed land cover changes and exceeded the effects of climate warming. This study provides evidence that the expansion of oil palm plantations and other cash crops leads to changes in biophysical variables, warming the land surface and thus enhancing the increase of the air temperature because of climate change.

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“…On a regional scale, similar conclusions are reached by Haddeland et al (2007) for North America and Asia, with the largest land-cover-induced changes in runoff occurring over Southeast Asia. Hence, despite large variations amongst studies concerning the actual amount and spatial variation of evapotranspiration and runoff changes due to land cover change, related, for example, to uncertainties in evapotranspiration reconstructions, models and land cover maps (Boisier et al, 2014), land cover change is overall thought to have reduced global evapotranspiration and increased runoff to an extent that is at least of similar magnitude to the impact of climate change or other anthropogenic impacts such as irrigation.…”

Section: Introductionmentioning

confidence: 99%

Hydrological impacts of global land cover change and human water use

Bosmans

Beek

Sutanudjaja

et al. 2017

Hydrol. Earth Syst. Sci.

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Abstract. Human impacts on global terrestrial hydrology have been accelerating during the 20th century. These human impacts include the effects of reservoir building and human water use, as well as land cover change. To date, many global studies have focussed on human water use, but only a few focus on or include the impact of land cover change. Here we use PCR-GLOBWB, a combined global hydrological and water resources model, to assess the impacts of land cover change as well as human water use globally in different climatic zones. Our results show that land cover change has a strong effect on the global hydrological cycle, on the same order of magnitude as the effect of human water use (applying irrigation, abstracting water, for industrial use for example, including reservoirs, etc.). When globally averaged, changing the land cover from that of 1850 to that of 2000 increases discharge through reduced evapotranspiration. The effect of land cover change shows large spatial variability in magnitude and sign of change depending on, for example, the specific land cover change and climate zone. Overall, land cover effects on evapotranspiration are largest for the transition of tall natural vegetation to crops in energy-limited equatorial and warm temperate regions. In contrast, the inclusion of irrigation, water abstraction and reservoirs reduces global discharge through enhanced evaporation over irrigated areas and reservoirs as well as through water consumption. Hence, in some areas land cover change and water distribution both reduce discharge, while in other areas the effects may partly cancel out. The relative importance of both types of impacts varies spatially across climatic zones. From this study we conclude that land cover change needs to be considered when studying anthropogenic impacts on water resources.

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Historical land-use-induced evapotranspiration changes estimated from present-day observations and reconstructed land-cover maps

Cited by 36 publications

References 52 publications

Pairing FLUXNET sites to validate model representations of land-use/land-cover change

Pairing FLUXNET sites to validate model representations of land-use/land-cover change

Expansion of oil palm and other cash crops causes an increase of the land surface temperature in the Jambi province in Indonesia

Hydrological impacts of global land cover change and human water use

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