Impacts of Land Cover Change on the Near-Surface Temperature in the North China Plain

Qu, Ruijie; Cui, Xianze; Yan, Haiming; Ma, Enjun; Zhan, Jinyan

doi:10.1155/2013/409302

Cited by 24 publications

(25 citation statements)

References 10 publications

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“…One worst-case scenario prediction offers a 4.0°C increase in global air temperature by the end of the century (Parry et al, 2007), which triggers a 2-3°C increase in water temperature (Morrill et al, 2005). On the other hand, Qu et al (2013) reported that increase in air temperature varied with the land cover in north China during 1992-2005. One promising approach to address this issue may be to use a hydrothermal simulation model, which calculates runoff and water temperature based on meteorological and land cover data (e.g., Nukazawa et al, 2011), to project future thermal regimes.…”

Section: Discussionmentioning

confidence: 99%

Variation in benthic invertebrate abundance along thermal gradients within headwater streams of a temperate basin in Japan

et al. 2015

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To better understand the impacts of water temperature variation on stream invertebrates, we sampled benthic assemblages and measured water temperature monthly in headwater streams located in northeast Japan during 2011 and 2012. The sites in headwater streams had similar hydraulic and topographical settings, were free of man-made structures, and ranged in elevation from 100 to 850 m above sea level. The results of month-by-month analysis on the relationship between temperature and Plecoptera density revealed that the abundance declined with highly elevated temperatures in mid-summer (July, August). The strongest relationship between variation in Plecoptera abundance (June to October in 2012), however, and water temperature occurred during early summer (June). Thus, early summer temperatures contribute to greater seasonal increase in abundance, suggesting that snapshot data may be unreliable for detecting consistent relationships between the abundance and temperature. The degree of similarity in benthic fauna between sites was significantly negatively correlated with differences in water temperature but not correlated with geographical distance. These results suggest that faunal composition varies along the water temperature gradient rather than habitat connectivity in temperate headwater streams.Electronic supplementary material The online version of this article (

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Section: Discussionmentioning

confidence: 99%

Variation in benthic invertebrate abundance along thermal gradients within headwater streams of a temperate basin in Japan

et al. 2015

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“…Climate change in China has been simulated in recent years by many scholars. Qu et al (2013) used WRF to explore the impacts of land cover change on the near-surface temperature in a research in Northern China Plain. The RegCM3 can reproduce the observed spatial structure of surface air temperature and precipitation well.…”

Section: Case Studies Of Land Use Impacts On Surface Climatementioning

confidence: 99%

Land Use Impacts on Climate

Deng¹,

Güneralp²,

Zhan³

et al. 2014

Springer Geography

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“…Wu and Fu (2013) used a linear fitting method to estimate the change of precipitation intensity spectra at different spatial scales in China. Qu et al (2013) used WRF to explore the impacts of land cover change on the near-surface temperature in a research in Northern China Plain. They tested and verified the ability of WRF to simulate the near-surface temperature in the study area.…”

Section: Case Studies Of Land Use Impacts On Surface Climatementioning

confidence: 99%

Concluding Remarks on Improved Data, Upgraded Models and Case Studies

2014

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This chapter explores the advancement in data, models, and application for observing and estimating land use impacts on surface climate, and points out further research needs and priorities, which will provide some references for related studies. The reclassification of time series land cover data can meet the accuracy requirement of climate simulation and can be used as the parameters of dynamical downscaling in regional climate simulation, which enhances the data processing and laid a good foundation for Land Use and Cover Change (LUCC) simulation.There have been tremendous changes of global land use pattern in the past 50 years, which has enormous influence on global climate change. Quantitative analysis for the impacts of LUCC on surface climate is one of the core scientific issues to understand the influence of human activities on global climate. For instance, the diverse roles of LUCC on precipitation have been documented and sustained rapid land conversions make human-induced disturbances of climate system continue and become even more significant (Pielke et al. 2007). The review paper of Deng et al. (2013a), comprehensively analyzed the primary scientific issues about the impacts of LUCC on regional climate and systematically reviewed the progress in relevant researches. In this chapter, we summarize the major

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Impacts of Land Cover Change on the Near-Surface Temperature in the North China Plain

Cited by 24 publications

References 10 publications

Variation in benthic invertebrate abundance along thermal gradients within headwater streams of a temperate basin in Japan

Variation in benthic invertebrate abundance along thermal gradients within headwater streams of a temperate basin in Japan

Land Use Impacts on Climate

Concluding Remarks on Improved Data, Upgraded Models and Case Studies

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