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Donghai Zhang
Beijing Normal University

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Journal article
Published: 01 January 2018 in Agricultural and Forest Meteorology
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ACS Style

Wenquan Zhu; Zhoutao Zheng; Nan Jiang; Donghai Zhang. A comparative analysis of the spatio-temporal variation in the phenologies of two herbaceous species and associated climatic driving factors on the Tibetan Plateau. Agricultural and Forest Meteorology 2018, 248, 177 -184.

AMA Style

Wenquan Zhu, Zhoutao Zheng, Nan Jiang, Donghai Zhang. A comparative analysis of the spatio-temporal variation in the phenologies of two herbaceous species and associated climatic driving factors on the Tibetan Plateau. Agricultural and Forest Meteorology. 2018; 248 ():177-184.

Chicago/Turabian Style

Wenquan Zhu; Zhoutao Zheng; Nan Jiang; Donghai Zhang. 2018. "A comparative analysis of the spatio-temporal variation in the phenologies of two herbaceous species and associated climatic driving factors on the Tibetan Plateau." Agricultural and Forest Meteorology 248, no. : 177-184.

Journal article
Published: 01 October 2017 in Progress in Natural Science
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An experimental study was conducted to improve the electrical insulation of epoxy resin. The effects of boehmite, γ-alumina and α-alumina nanoparticles on the volume resistivity, dielectric strength and glass transition temperature of epoxy nanocomposites were investigated. The results showed that α-alumina nanoparticles displayed obvious advantages in enhancing electrical insulation performance of epoxy nanocomposites, compared to boehmite and γ-alumina nanoparticles. The direct current volume resistivity and breakdown strength of epoxy nanocomposite with 2.0 wt% α-alumina nanoparticles was improved to 2.2 à 1018 Ω cm and 76.1 kV mmâ1 respectively. And these improved values of electrical insulation properties are much higher than these of epoxy nanocomposites reported in previous studies. The main reason of these improvements may be that the epoxy/α-alumina interaction zone was enhanced by crosslink. Keywords: Nanocomposite, Epoxy resin, Insulation, α-alumin

ACS Style

Yun Chen; Donghai Zhang; Xiaofeng Wu; HaoSheng Wang; Chong Zhang; Wei Yang; Yunfa Chen. Epoxy/α-alumina nanocomposite with high electrical insulation performance. Progress in Natural Science 2017, 27, 574 -581.

AMA Style

Yun Chen, Donghai Zhang, Xiaofeng Wu, HaoSheng Wang, Chong Zhang, Wei Yang, Yunfa Chen. Epoxy/α-alumina nanocomposite with high electrical insulation performance. Progress in Natural Science. 2017; 27 (5):574-581.

Chicago/Turabian Style

Yun Chen; Donghai Zhang; Xiaofeng Wu; HaoSheng Wang; Chong Zhang; Wei Yang; Yunfa Chen. 2017. "Epoxy/α-alumina nanocomposite with high electrical insulation performance." Progress in Natural Science 27, no. 5: 574-581.

Historical article
Published: 05 September 2017 in International Journal of Biometeorology
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The start of thermal growing season (STGS) is an important indicator for climate change effects on regional plant growth and development. This study comprehensively investigated and compared the spatiotemporal variations in STGS at 0 °C (STGS_0), 5 °C (STGS_5), and 10 °C (STGS_10) thresholds for grassland on the Qinghai-Tibetan Plateau (QTP) during 1961–2014. Although elevation was the predominant influencing factor of the spatial variations of STGSs, the effect of latitude should not be ignored at the low-elevation regions, especially for the STGS with a low-temperature threshold (e.g., STGS_0). With the decrease of temperature thresholds, the effect of elevation became weaker, while the effect of latitude became stronger. Significant advancing trends were observed in all the three STGSs, with greater advancing rate for STGS_0 (0.23 days·year−1) than that of STGS_5 (0.15 days·year−1) and STGS_10 (0.16 days·year−1). More obvious advancing trends were found after 1980, which coincided with more rapid climate warming. The advancing trends weakened after 1998 when climate warming hiatus occurred. Since positive and negative impacts may be simultaneously induced by the advanced STGSs, more observations are still needed to analyze their impacts on the growth and development of alpine grassland on the QTP.

ACS Style

Wenquan Zhu; Donghai Zhang; Nan Jiang; Zhoutao Zheng. Spatiotemporal variations of the start of thermal growing season for grassland on the Qinghai-Tibetan Plateau during 1961–2014. International Journal of Biometeorology 2017, 63, 639 -647.

AMA Style

Wenquan Zhu, Donghai Zhang, Nan Jiang, Zhoutao Zheng. Spatiotemporal variations of the start of thermal growing season for grassland on the Qinghai-Tibetan Plateau during 1961–2014. International Journal of Biometeorology. 2017; 63 (5):639-647.

Chicago/Turabian Style

Wenquan Zhu; Donghai Zhang; Nan Jiang; Zhoutao Zheng. 2017. "Spatiotemporal variations of the start of thermal growing season for grassland on the Qinghai-Tibetan Plateau during 1961–2014." International Journal of Biometeorology 63, no. 5: 639-647.

Journal article
Published: 01 May 2017 in Agricultural and Forest Meteorology
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Wenquan Zhu; Nan Jiang; Guangsheng Chen; Donghai Zhang; Zhoutao Zheng; Deqin Fan. Divergent shifts and responses of plant autumn phenology to climate change on the Qinghai-Tibetan Plateau. Agricultural and Forest Meteorology 2017, 239, 166 -175.

AMA Style

Wenquan Zhu, Nan Jiang, Guangsheng Chen, Donghai Zhang, Zhoutao Zheng, Deqin Fan. Divergent shifts and responses of plant autumn phenology to climate change on the Qinghai-Tibetan Plateau. Agricultural and Forest Meteorology. 2017; 239 ():166-175.

Chicago/Turabian Style

Wenquan Zhu; Nan Jiang; Guangsheng Chen; Donghai Zhang; Zhoutao Zheng; Deqin Fan. 2017. "Divergent shifts and responses of plant autumn phenology to climate change on the Qinghai-Tibetan Plateau." Agricultural and Forest Meteorology 239, no. : 166-175.

Journal article
Published: 29 July 2016 in Remote Sensing
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Aeolian desertification is a kind of land degradation that is characterized by aeolian activity, resulting from the responses of land ecosystems to climate change and anthropogenic disturbances. The source areas of the Yangtze and Yellow Rivers are typical regions of China’s Tibetan Plateau affected by aeolian desertification. We assessed the vulnerability of these areas to aeolian desertification by combining remote sensing with geographical information system technologies. We developed an assessment model with eight indicators, whose weights were determined by the analytical hierarchy process. Employing this model, we analyzed the spatial distribution of vulnerability to aeolian desertification and its changes from 2000 to 2010, and discuss the implications. Overall, low-vulnerability land was the most widespread, accounting for 64%, 62%, and 71% of the total study area in 2000, 2005, and 2010, respectively. The degree of vulnerability showed regional differences. In the source areas of the Yangtze River, land with high or very high vulnerability accounted for 17.4% of this sub-region in 2010, versus 2.6% in the source areas of the Yellow River. In the Zoige Basin, almost all of the land had very low to low vulnerability. To understand the change in vulnerability to aeolian desertification, we calculated an integrated vulnerability index (IVI). This analysis indicated that the vulnerability to aeolian desertification increased from 2000 to 2005 (IVI increased from 2.1709 to 2.2463), and decreased from 2005 to 2010 (IVI decreased from 2.2463 to 2.0057). Increasing regional temperatures appear to be primarily responsible for the change in vulnerability to aeolian desertification throughout the region. The effects of other factors (climatic variation and human activities) differed among the various sub-regions. The implementation of the ecological restoration project has achieved a noticeable effect since 2005. Our results provide empirical support for effort to protect the ecology of this ecologically fragile region.

ACS Style

Xiaobin Ren; Zhibao Dong; Guangyin Hu; Donghai Zhang; Qing Li. A GIS-Based Assessment of Vulnerability to Aeolian Desertification in the Source Areas of the Yangtze and Yellow Rivers. Remote Sensing 2016, 8, 626 .

AMA Style

Xiaobin Ren, Zhibao Dong, Guangyin Hu, Donghai Zhang, Qing Li. A GIS-Based Assessment of Vulnerability to Aeolian Desertification in the Source Areas of the Yangtze and Yellow Rivers. Remote Sensing. 2016; 8 (8):626.

Chicago/Turabian Style

Xiaobin Ren; Zhibao Dong; Guangyin Hu; Donghai Zhang; Qing Li. 2016. "A GIS-Based Assessment of Vulnerability to Aeolian Desertification in the Source Areas of the Yangtze and Yellow Rivers." Remote Sensing 8, no. 8: 626.

Articles
Published: 28 May 2016 in International Journal of Digital Earth
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The false topographic perception phenomenon (FTPP) refers to the visual misperception in remote-sensing images that certain types of terrains are visually interpreted as other types in rugged lands, for example, valleys as ridges and troughs as peaks. For this reason, the FTPP can influence the visualization and interpretation of images to a great extent. To scrutinize this problem, the paper firstly reviews and tests the existing FTPP-correction techniques and identifies the inverse slope-matching technique as an effective approach to visually enhance remote-sensing images and retain the colour information. The paper then proposes an improved FTPP-correction procedure that incorporates other image-processing techniques (e.g. linear stretch, histogram matching, and flat-area replacement) to enhance the performance of this technique. A further evaluation of the proposed technique is conducted by applying the technique to various study areas and using different types of remote-sensing images. The result indicates the method is relatively robust and will be a significant extension to geovisual analytics in digital earth research.

ACS Style

Donghai Zhang; Wenquan Zhu; Xiang Chen; Zhoutao Zheng; Xiafei Zhou; Tao Jiang. A correction technique for false topographic perception of remote-sensing images based on an inverse topographic correction technique. International Journal of Digital Earth 2016, 9, 1021 -1034.

AMA Style

Donghai Zhang, Wenquan Zhu, Xiang Chen, Zhoutao Zheng, Xiafei Zhou, Tao Jiang. A correction technique for false topographic perception of remote-sensing images based on an inverse topographic correction technique. International Journal of Digital Earth. 2016; 9 (10):1021-1034.

Chicago/Turabian Style

Donghai Zhang; Wenquan Zhu; Xiang Chen; Zhoutao Zheng; Xiafei Zhou; Tao Jiang. 2016. "A correction technique for false topographic perception of remote-sensing images based on an inverse topographic correction technique." International Journal of Digital Earth 9, no. 10: 1021-1034.

Journal article
Published: 01 April 2016 in Agricultural and Forest Meteorology
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Daily temperature data from 1960 to 2013 and field-observed phenology data were used to investigate the spatiotemporal changes in thermal growing season and their relationship with the response of alpine grassland to climate variability in the Three-Rivers Headwater Region (TRHR) during the recent decades. We found a significant extension of the thermal growing season by 8.3 d per decade (p < 0.01) between 1986 and 2013 due to the combination of earlier start (tGSS; −4.1 d per decade, p < 0.01) and delayed end (tGSE; 4.2 d per decade, p < 0.01) of the thermal growing season. However, earlier tGSS and delayed tGSE were weakened between 2000 and 2013, compared to that between 1986 and 1999, in association with changes in seasonal temperature. Our results also suggested that earlier start of actual growing season (aGSS) was associated with the increasing winter and spring temperature; while the end of actual growing season (aGSE) was triggered by summer temperature and precipitation; and earlier and delayed of aGSE were associated with the increasing summer temperature and precipitation, respectively. Additionally, earlier tGSS was associated with an earlier aGSS response to increased temperature, while delayed tGSE was associated with earlier aGSE. Thus, the actual growing season possibly move forward rather than extended in length, in contrast to the extension of the thermal growing season due to the ongoing warming.

ACS Style

Xianfeng Liu; Xiufang Zhu; Yaozhong Pan; Wenquan Zhu; Jinshui Zhang; Donghai Zhang. Thermal growing season and response of alpine grassland to climate variability across the Three-Rivers Headwater Region, China. Agricultural and Forest Meteorology 2016, 220, 30 -37.

AMA Style

Xianfeng Liu, Xiufang Zhu, Yaozhong Pan, Wenquan Zhu, Jinshui Zhang, Donghai Zhang. Thermal growing season and response of alpine grassland to climate variability across the Three-Rivers Headwater Region, China. Agricultural and Forest Meteorology. 2016; 220 ():30-37.

Chicago/Turabian Style

Xianfeng Liu; Xiufang Zhu; Yaozhong Pan; Wenquan Zhu; Jinshui Zhang; Donghai Zhang. 2016. "Thermal growing season and response of alpine grassland to climate variability across the Three-Rivers Headwater Region, China." Agricultural and Forest Meteorology 220, no. : 30-37.

Journal article
Published: 11 August 2015 in Remote Sensing
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Spartina alterniflora is one of the most hazardous invasive plant species in China. Monitoring the changes in dominant plant species can help identify the invasion mechanisms of S. alterniflora, thereby providing scientific guidelines on managing or controlling the spreading of this invasive species at Jiuduansha Wetland in Shanghai, China. However, because of the complex terrain and the inaccessibility of tidal wetlands, it is very difficult to conduct field experiments on a large scale in this wetland. Hence, remote sensing plays an important role in monitoring the dynamics of plant species and its distribution on both spatial and temporal scales. In this study, based on multi-spectral and high resolution (<10 m) remote sensing images and field observational data, we analyzed spectral characteristics of four dominant plant species at different green-up phenophases. Based on the difference in spectral characteristics, a decision tree classification was built for identifying the distribution of these plant species. The results indicated that the overall classification accuracy for plant species was 87.17%, and the Kappa Coefficient was 0.81, implying that our classification method could effectively identify the four plant species. We found that the area of Phragmites australi showed an increasing trend from 1997 to 2004 and from 2004 to 2012, with an annual spreading rate of 33.77% and 31.92%, respectively. The area of Scirpus mariqueter displayed an increasing trend from 1997 to 2004 (12.16% per year) and a decreasing trend from 2004 to 2012 (−7.05% per year). S. alterniflora has the biggest area (3302.20 ha) as compared to other species, accounting for 51% of total vegetated area at the study region in 2012. It showed an increasing trend from 1997 to 2004 and from 2004 to 2012, with an annual spreading rate of 130.63% and 28.11%, respectively. As a result, the native species P. australi was surrounded and the habitats of S. mariqueter were occupied by S. alterniflora. The high proliferation ability and competitive advantage for S. alterniflora inhibited the growth of other plant species and we anticipate a continuous expansion of this invasive species at Jiuduansha Wetland. Effective measures should be taken to control the invasion of S. alterniflora.

ACS Style

Wenpeng Lin; Guangsheng Chen; Pupu Guo; Wenquan Zhu; Donghai Zhang. Remote-Sensed Monitoring of Dominant Plant Species Distribution and Dynamics at Jiuduansha Wetland in Shanghai, China. Remote Sensing 2015, 7, 10227 -10241.

AMA Style

Wenpeng Lin, Guangsheng Chen, Pupu Guo, Wenquan Zhu, Donghai Zhang. Remote-Sensed Monitoring of Dominant Plant Species Distribution and Dynamics at Jiuduansha Wetland in Shanghai, China. Remote Sensing. 2015; 7 (8):10227-10241.

Chicago/Turabian Style

Wenpeng Lin; Guangsheng Chen; Pupu Guo; Wenquan Zhu; Donghai Zhang. 2015. "Remote-Sensed Monitoring of Dominant Plant Species Distribution and Dynamics at Jiuduansha Wetland in Shanghai, China." Remote Sensing 7, no. 8: 10227-10241.

Book chapter
Published: 23 June 2015 in Land-Use Changes in China
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Phenology refers to the timing of recurring biological cycles in ecosystem processes (Noormets, 2009; Schwartz, 2013). It influences many feedbacks of vegetation to the climate system by controlling the seasonal patterns of albedo, surface roughness length, canopy conductance, and fluxes of water, energy, CO2 and biogenic volatile organic compounds (Peñuelas et al., 2009; Richardson et al., 2013). Accurate representation of phenological processes in models that couple the land surface to the climate system is particularly important, especially when such models are being used to predict future climate (Richardson et al., 2013). For this section, we first use satellite time series data to investigate the phenological characteristics in different land cover/use types and then demonstrate how phenology would shift in response to land cover/use change. The findings may contribute to highlighting the phenological control of land cover/use change to the global climate system.

ACS Style

Wenquan Zhu; Donghai Zhang; Zhoutao Zhen; Nan Jiang. Phenological Characteristics and Shifts Under Land-Use Change. Land-Use Changes in China 2015, 51 -66.

AMA Style

Wenquan Zhu, Donghai Zhang, Zhoutao Zhen, Nan Jiang. Phenological Characteristics and Shifts Under Land-Use Change. Land-Use Changes in China. 2015; ():51-66.

Chicago/Turabian Style

Wenquan Zhu; Donghai Zhang; Zhoutao Zhen; Nan Jiang. 2015. "Phenological Characteristics and Shifts Under Land-Use Change." Land-Use Changes in China , no. : 51-66.

Journal article
Published: 12 February 2015 in Remote Sensing
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Changes in biodiversity owing to vegetation degradation resulting from widespread urbanization demands serious attention. However, the connection between vegetation degradation and urbanization appears to be complex and nonlinear, and deserves a series of long-term observations. On the basis of the Normalized Difference Vegetation Index (NDVI) and the image’s digital number (DN) in nighttime stable light data (NTL), we delineated the spatiotemporal relations between urbanization and vegetation degradation of different metropolises by using a simplified NTL calibration method and Theil-Sen regression. The results showed clear and noticeable spatiotemporal differences. On spatial relations, rapidly urbanized cities were found to have a high probability of vegetation degradation, but in reality, not all of them experience sharp vegetation degradation. On temporal characteristics, the degradation degree was found to vary during different periods, which may depend on different stages of urbanization and climate history. These results verify that under the scenario of a vegetation restoration effort combined with increasing demand for a high-quality urban environment, the urbanization process will not necessarily result in vegetation degradation on a large scale. The positive effects of urban vegetation restoration should be emphasized since there has been an increase in demand for improved urban environmental quality. However, slight vegetation degradation is still observed when NDVI in an urbanized area is compared with NDVI in the outside buffer. It is worthwhile to pay attention to landscape sustainability and reduce the negative urbanization effects by urban landscape planning.

ACS Style

Yanxu Liu; Yanglin Wang; Jian Peng; Yueyue Du; Xianfeng Liu; Shuangshuang Li; Donghai Zhang. Correlations between Urbanization and Vegetation Degradation across the World’s Metropolises Using DMSP/OLS Nighttime Light Data. Remote Sensing 2015, 7, 2067 -2088.

AMA Style

Yanxu Liu, Yanglin Wang, Jian Peng, Yueyue Du, Xianfeng Liu, Shuangshuang Li, Donghai Zhang. Correlations between Urbanization and Vegetation Degradation across the World’s Metropolises Using DMSP/OLS Nighttime Light Data. Remote Sensing. 2015; 7 (2):2067-2088.

Chicago/Turabian Style

Yanxu Liu; Yanglin Wang; Jian Peng; Yueyue Du; Xianfeng Liu; Shuangshuang Li; Donghai Zhang. 2015. "Correlations between Urbanization and Vegetation Degradation across the World’s Metropolises Using DMSP/OLS Nighttime Light Data." Remote Sensing 7, no. 2: 2067-2088.

Journal article
Published: 24 September 2014 in Remote Sensing
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Vegetation phenology is considered a sensitive indicator of terrestrial ecosystem response to global climate change. We used a satellite-derived normalized difference vegetation index to investigate the spatiotemporal changes in the green-up date over the Three-Rivers Headwater Region (TRHR) from 1999 to 2013 and characterized their driving forces using climatic data sets. A significant advancement trend was observed throughout the entire study area from 1999 to 2013 with a linear tendency of 6.3 days/decade (p < 0.01); the largest advancement trend was over the Yellow River source region (8.6 days/decade, p < 0.01). Spatially, the green-up date increased from the southeast to the northwest, and the green-up date of 87.4% of pixels fell between the 130th and 150th Julian day. Additionally, about 91.5% of the study area experienced advancement in the green-up date, of which 80.2%, mainly distributed in areas of vegetation coverage increase, experienced a significant advance. Moreover, it was found that the green-up date and its trend were significantly correlated with altitude. Statistical analyses showed that a 1-°C increase in spring temperature would induce an advancement in the green-up date of 4.2 days. We suggest that the advancement of the green-up date in the TRHR might be attributable principally to warmer and wetter springs.

ACS Style

Xianfeng Liu; Xiufang Zhu; Wenquan Zhu; Yaozhong Pan; Chong Zhang; Donghai Zhang. Changes in Spring Phenology in the Three-Rivers Headwater Region from 1999 to 2013. Remote Sensing 2014, 6, 9130 -9144.

AMA Style

Xianfeng Liu, Xiufang Zhu, Wenquan Zhu, Yaozhong Pan, Chong Zhang, Donghai Zhang. Changes in Spring Phenology in the Three-Rivers Headwater Region from 1999 to 2013. Remote Sensing. 2014; 6 (9):9130-9144.

Chicago/Turabian Style

Xianfeng Liu; Xiufang Zhu; Wenquan Zhu; Yaozhong Pan; Chong Zhang; Donghai Zhang. 2014. "Changes in Spring Phenology in the Three-Rivers Headwater Region from 1999 to 2013." Remote Sensing 6, no. 9: 9130-9144.