Assessing vegetation dynamics and their relationships with climatic variability in Heilongjiang province, northeast China

Liu, Wenbin; Cai, Tijiu; Ju, Cunyong; Fu, Guobin; Yao, Ying; Cui, Xin

doi:10.1007/s12665-011-1021-0

Cited by 23 publications

(12 citation statements)

References 35 publications

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“…A large portion of this region experienced a decrease in vegetation, which was confirmed by the trend analysis. The natural forests in Northeast China suffered from deforestation as results of agricultural practices, urbanization, and fire disaster, which was also reported by related studies (33,34).…”

Section: Zoning Systemsupporting

confidence: 60%

Spatiotemporal analysis of vegetation variability and its relationship with climate change in China

Qiu

Zhong

et al. 2014

Geo-spatial Information Science

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This paper investigated spatiotemporal dynamic pattern of vegetation, climate factor, and their complex relationships from seasonal to inter-annual scale in China during the period 1982-1998 through wavelet transform method based on GIMMS data-sets. First, most vegetation canopies demonstrated obvious seasonality, increasing with latitudinal gradient. Second, obvious dynamic trends were observed in both vegetation and climate change, especially the positive trends. Over 70% areas were observed with obvious vegetation greening up, with vegetation degradation principally in the Pearl River Delta, Yangtze River Delta, and desert. Overall warming trend was observed across the whole country (>98% area), stronger in Northern China. Although over half of area (58.2%) obtained increasing rainfall trend, around a quarter of area (24.5%), especially the Central China and most northern portion of China, exhibited significantly negative rainfall trend. Third, significantly positive normalized difference vegetation index (NDVI)-climate relationship was generally observed on the de-noised time series in most vegetated regions, corresponding to their synchronous stronger seasonal pattern. Finally, at inter-annual level, the NDVI-climate relationship differed with climatic regions and their long-term trends: in humid regions, positive coefficients were observed except in regions with vegetation degradation; in arid, semiarid, and semihumid regions, positive relationships would be examined on the condition that increasing rainfall could compensate the increasing water requirement along with increasing temperature. This study provided valuable insights into the long-term vegetation-climate relationship in China with consideration of their spatiotemporal variability and overall trend in the global change process.

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Section: Zoning Systemsupporting

confidence: 60%

Spatiotemporal analysis of vegetation variability and its relationship with climate change in China

Qiu

Zhong

et al. 2014

Geo-spatial Information Science

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“…However, the result is different from previous studies. Most correlation anal- yses of NDVI with air temperature and precipitation show that, in the forest area, NDVI increases with the increase of air temperature and decrease of precipitation, because air temperature is the dominant factor in humid areas, and the light-use efficiency increases under elevated air temperatures (Peng et al, 2012;Wang et al, 2014;Liu et al, 2011). The difference may be caused by the deficient hypotheses of the theory.…”

Section: Sensitivity Of M * To Climate Factorsmentioning

confidence: 99%

Ecohydrological optimality in the Northeast China Transect

Cong

et al. 2017

Hydrol. Earth Syst. Sci.

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Abstract. The Northeast China Transect (NECT) is one of the International Geosphere-Biosphere Program (IGBP) terrestrial transects, where there is a significant precipitation gradient from east to west, as well as a vegetation transition of forest-grassland-desert. It is remarkable to understand vegetation distribution and dynamics under climate change in this transect. We take canopy cover (M), derived from Normalized Difference Vegetation Index (NDVI), as an index to describe the properties of vegetation distribution and dynamics in the NECT. In Eagleson's ecohydrological optimality theory, the optimal canopy cover (M * ) is determined by the trade-off between water supply depending on water balance and water demand depending on canopy transpiration. We apply Eagleson's ecohydrological optimality method in the NECT based on data from 2000 to 2013 to get M * , which is compared with M from NDVI to further discuss the sensitivity of M * to vegetation properties and climate factors. The result indicates that the average M * fits the actual M well (for forest, M * = 0.822 while M = 0.826; for grassland, M * = 0.353 while M = 0.352; the correlation coefficient between M and M * is 0.81). Results of water balance also match the field-measured data in the references. The sensitivity analyses show that M * decreases with the increase of leaf area index (LAI), stem fraction and temperature, while it increases with the increase of leaf angle and precipitation amount. Eagleson's ecohydrological optimality method offers a quantitative way to understand the impacts of climate change on canopy cover and provides guidelines for ecorestoration projects.

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“…In this study, the Penman-Monteith equation, which is applied widely all over world [34] as recommended by the United Nations Food and Agriculture Organization (FAO), was used for calculating the ET0 due to lack of measured pan evapotranspiration: The climate of this high-latitude region can be characterized as temperate, humid, and semi-humid continental monsoon with a long-term annual average temperature of 1.9 • C, which ranges from −5 to 5 • C, and a long-term annual average precipitation of about 550 mm, most of which falls during the summer season [33]. The total annual solar radiation in the province is between 44 × 10 8 and 50 × 10 8 J/m 2 , 55% to 60% of which is accumulated during the growing season from May to September, with a decreasing trend from South to North.…”

Section: Calculation Of Reference Evapotranspirationmentioning

confidence: 99%

Spatiotemporal Changes of Reference Evapotranspiration in the Highest-Latitude Region of China

Pan

Zhang

et al. 2017

Water

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Reference evapotranspiration (ET 0 ) is often used to make management decisions for crop irrigation scheduling and production. In this study, the spatial and temporal trends of ET 0 in China's most northern province as well as the country's largest agricultural region were analyzed for the period from 1964 to 2013. ET 0 was calculated with the Penman-Monteith of Food and Agriculture Organization of the United Nations irrigation and drainage paper NO.56 (FAO-56) using climatic data collected from 27 stations. Inverse distance weighting (IDW) was used for the spatial interpolation of the estimated ET 0 . A Modified Mann-Kendall test (MMK) was applied to test the spatiotemporal trends of ET 0 , while Pearson's correlation coefficient and cross-wavelet analysis were employed to assess the factors affecting the spatiotemporal variability at different elevations. The results from this study showed a clear decreasing trend for annual ET 0 from the low elevation plain area to the high elevation mountainous area. Over the past five decades, ET 0 in Heilongjiang Province decreased in all seasons, except for the winter months, during which a steady increase in temperature was found. Elevation played an important role in estimating ET 0 in this higher-latitude region, while relative humidity was the most relevant meteorological factor that affected the spatiotemporal variation of ET 0 in the province. Overall, the findings from the study suggest that winter ET 0 in a high altitude region will continue to increase in the future as climate change persists, which could worsen spring droughts and irrigation management for semi-arid areas in the province.

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Assessing vegetation dynamics and their relationships with climatic variability in Heilongjiang province, northeast China

Cited by 23 publications

References 35 publications

Spatiotemporal analysis of vegetation variability and its relationship with climate change in China

Spatiotemporal analysis of vegetation variability and its relationship with climate change in China

Ecohydrological optimality in the Northeast China Transect

Spatiotemporal Changes of Reference Evapotranspiration in the Highest-Latitude Region of China

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