Impacts of land use land cover on temperature trends over the continental United States: assessment using the North American Regional Reanalysis

Fall, Souleymane; Niyogi, Dev; Gluhovsky, Alexander; Pielke, Roger A.; Kalnay, Eugenia; Rochon, Gilbert L.

doi:10.1002/joc.1996

Cited by 180 publications

(118 citation statements)

References 63 publications

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“…Interestingly, the oil palm and rubber plantations were only slightly warmer than the forests whereas the young oil palm plantations had clearly higher LST than the other vegetated surfaces. For other parts of the world, Lim et al (2005Lim et al ( , 2008, Fall et al (2010) and Weng et al (2004) also observed cooler temperatures for forests and the highest surface temperatures for barren and urban areas. In Indonesia, land transformation is often not instantaneous from forest to oil palm or rubber plantation but can be associated with several years of bare or abandoned land in-between (Sheil et al, 2009).…”

Section: Lst Patterns Across Different Land Use and Land Cover (Lulc)mentioning

confidence: 88%

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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Section: Lst Patterns Across Different Land Use and Land Cover (Lulc)mentioning

confidence: 88%

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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“…On the other hand, increased urbanization coupled with warmer air temperatures might result in more intense land surface warming, which is an additive effect of land cover and climate changes. Hence, the regional effects of land cover change can offset or magnify changes in global average temperature, and can significantly alter the impacts associated with global warming (Feddema et al, 2005;Fall et al, 2009).…”

Section: Introductionmentioning

confidence: 99%

A regional scale assessment of land use/land cover and climatic changes on water and energy cycle in the upper Midwest United States

Mishra¹,

Cherkauer²,

Niyogi³

et al. 2010

Intl Journal of Climatology

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108

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This study examines the relative impact of regional land-cover/land-use patterns and projected future climate change on hydrologic processes. Historic, present and projected future land cover data were used to drive the variable infiltration capacity (VIC) model using observed meteorological forcing data for 1983-2007 over Wisconsin (USA). The current and projected future (year 2030) land cover data were developed using the land transformation model (LTM). The VIC model simulations were driven using downscaled and bias-corrected projected future climate forcing from three different Intergovernmental Panel for Climate Change (IPCC) AR4 general circulation models (GCMs): HadCM3, PCM and GFDL. Sensitivity results conducted on a single grid cell show that annual average surface runoff and baseflow were increased by 8 and 6 mm, respectively, while evapotranspiration was reduced by 15 mm when a fully forested grid was converted to cropland. Results also indicate that annual average net radiation and sensible heat flux were reduced considerably due to forest-to-cropland conversion, and the reduction was more prominent in winter and spring seasons due to effect of snow albedo. Forest-to-cropland conversion also resulted in increased latent heat flux in summer (JJA) while this land transformation increased the snow water equivalent in winter (DJF) and spring (MAM). Complete conversion of forest to cropland resulted in a decrease of the radiative surface temperature on an annual basis with more cooling occurring in winter and summer. Impacts of historic deforestation were similar to what was expected based on a single grid sensitivity analysis.

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“…The OMR method is based on the fact that the reanalysis data did not assimilate observed surface information. This method does provide some signatures consistent with the distribution of underlying surface properties [22,[29][30][31][32][33][34][35][36]. However, whether or not the OMR fully represents the impact of LUCC is still controversial [37,38].…”

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confidence: 99%

Urbanization and heterogeneous surface warming in eastern China

Yang

2013

Chin. Sci. Bull.

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With the homogeneity-adjusted surface air temperature (SAT) data at 312 stations in eastern China for 1979-2008 and the Defense Meteorological Satellite Program/Operational Linescan System (DMSP/OLS) nighttime light data, the spatial heterogeneities of the SAT trends on different scales are detected with a spatial filtering (i.e. moving spatial anomaly) method, and the impact of urbanization in eastern China on surface warming is analyzed. Results show that the urbanization can induce a remarkable summer warming in Yangtze River Delta (YRD) city cluster region and a winter warming in Beijing-Tianjin-Hebei (BTH) city cluster region. The YRD warming in summer primarily results from the significant increasing of maximum temperature, with an estimated urban warming rate at 0.132-0.250°C per decade, accounting for 36%-68% of the total regional warming. The BTH warming in winter is primarily due to the remarkable increasing of minimum temperature, with an estimated urban warming rate at 0.102-0.214°C per decade, accounting for 12%-24% of the total regional warming. The temporal-spatial differences of urban warming effect may be attributed to the variation of regional climatic background and the change of anthropogenic heat release.heterogeneous surface warming, urbanization, surface air temperature, maximum temperature, minimum temperature, eastern China Citation:Wu K, Yang X Q. Urbanization and heterogeneous surface warming in eastern China. Chin Sci Bull, 2013Bull, , 58: 13631373, doi: 10.1007 Surface warming over recent five decades is attributed to natural climate change and anthropogenic forcing. The anthropogenic forcing mainly includes the emissions of greenhouse gases (GHG) and aerosols, as well as the land use/ cover change (LUCC) [1]. Relative to the enhanced greenhouse effect, however, the climatic effect of LUCC has not been drawn sufficient attention. The urbanization is one of the extreme processes in LUCC [2]. It can alter surface vegetation distribution, induce regional climate change and increase uncertainty in future climate projection [3]. Moreover, large-scale urbanization can affect regional surface energy and water balance [4], and thus may intensify the frequency of extreme weather/climate events. Since both GHG and urbanization tend to increase the surface air temperature (SAT), it is quite difficult to estimate the relative contribution of either effect to the surface warming [5]. A variety of methods have been adopted to detect the climatic effect of urbanization. The most conventional and direct method is the so-called urban-minus-rural (UMR) method in which the SAT at urban and rural sites is contrasted. The key of this method depends on whether or not those sites or stations can be objectively classified. In general, such a classification utilizes either population data [6][7][8][9][10][11][12][13][14][15][16][17] or satellite data (such as nighttime light imagery and land cover dataset) [18][19][20][21][22][23] as well as the geographic location of the stations. In addition, Empirical O...

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Impacts of land use land cover on temperature trends over the continental United States: assessment using the North American Regional Reanalysis

Cited by 180 publications

References 63 publications

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

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

A regional scale assessment of land use/land cover and climatic changes on water and energy cycle in the upper Midwest United States

Urbanization and heterogeneous surface warming in eastern China

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