The effects of climate on development of ecosystem in oasis

Pan, Xiaoling; Jiping, Chao

doi:10.1007/s00376-001-0003-7

Cited by 13 publications

(3 citation statements)

References 3 publications

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“…ε =ε ×ε =ε ×ε ×ε ×ε (2) Where: ε is environmental stress coefficient; ε * is the maximum solar energy utilization efficiency of plant; ε T is the influence coefficient of air temperature on plant growth; ε V is the influence coefficient of VPD (Vapor Pressure Deficit) on plant growth; ε W is the influence coefficient of water stress. See detailed calculation in relevant literatures on CASA and GLO-PEM [24][25][26][27][28][29][30][31] …”

Section: Building the Npp-gpem Modelmentioning

confidence: 99%

“…In physiological characteristic and canopy structure, they differ widely from those in other arid terrestrial ecosystems in the world. With water stress due to thin precipitation and strong evaporation cause unbalance budget in water and energy, the mountain-oasis-desert ecosystem becomes unique with distinctive ecological functions including vegetation of xerophytes, superxerophytes, leanness-tolerant, salt-tolerant, anti-wind and extreme climate resistance in the arid region because of their long-term accommodation and response to extreme arid climate and ecological environmental stress [2,3,4] (Pan Xiaoling et al2001;Cao MK et al 2004;Cao MK et al1998). …”

Section: Introductionmentioning

confidence: 97%

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Impacts of land use and climate change on the net primary productivity in XinJiang based on remote sensing

Liu

Gao

et al. 2008

SPIE Proceedings

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Arid and semi-arid ecosystems exhibit a spatially complex biogeophysical structure. According to arid western special climate-vegetation characters, using the remote sensing spectral mixture analysis. The study developed a modified production efficiency model Net Primary Productivity-Geography Processing Ecology Model (NPP-GPEM) appropriate for the arid area at regional scale based on the concept of radiation use efficiency. Combined with recent historical period climate data and two periods of land use data sets from remote sensing data, we test the net primary productivity (NPP) data sets over last 20 years in XinJiang of the North China modelled by the NPP-GPEM with the satellite data-driven for detecting the wide spread spatial temporal characteristics of the impacts of climate and land use change impact with the regional NPP. Our results shows that over past 20 years, the average annual temperature in the research region has remarkably increased by more than 0.056°C, but over the same period, there has been a 0.635mm increase in annual precipitation and increase in NPP by an annual rate of 0.142TgC. Taking use of 16 land covers of Xinjiang which was carried on the calculation of the matrix transfer, the study got the matrix of the NPP changes over past 20 years. The result found that the quicker trend increasing is the others woodlands (the 5.51gC/m 2 /yr) and the oasis farmland (4.32 gC/m 2 /yr). The pasture area is the biggest to about 29.3% of total area, the pasture growth is smaller than others, but its increase to the contribution rate of the annual NPP in the whole land ecosystem system biggest is pasture and agricultures to land use covers, that had the total annual NPP increase with 52.2% and 19.9% of the quantity respectively, the plant cover is only the shrub pant which has a absolute decrease ecosystem system in the type (-14.39gC/m 2 ); In fine, the paper mainly reveals the dissimilarities and conversion among the pasture, farmland, woodland and different covered pasture and other types. The correlation analysis between annual NPP and annual precipitation was highly consistent with plant cover spatially (R 2 =0.64, P<0.01) in the overall XinJiang, and the northern of XingJiang is better than the southern of it, and the correlation coefficient changes with the changes of vegetation types and different regions. The analysis revealed that the climate changes dominate the impacts on the NPP in the whole study region. However, land use plays a dominative role in the areas with land cover changes. Over past 20 years, the NPP in the whole study region remarkably increased due to obvious precipitation decrease and temperature rise. Between two periods of land use (about 10 years), the changes in climate are predicted to cause increases in NPP, and combined impacts of climate changes and land use to cause to increase in NPP.

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Section: Building the Npp-gpem Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 97%

Impacts of land use and climate change on the net primary productivity in XinJiang based on remote sensing

Liu

Gao

et al. 2008

SPIE Proceedings

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show abstract

“…However, the interactions between land and atmosphere in the dynamical and theoretical analyses have been simplified [1][2] , so the regional differences in the responses of climate to vegetation cover are difficult to distinguish. Land use and land cover change and their feedback to the climate system form very substantial aspects, and the changing of land use and land cover patterns is considered as one of the driving forces of regional environment change superimposed on the natural changes.…”

Section: Introductionmentioning

confidence: 99%

Effects of vegetation cover on summer climate in China during 1982–2001

Habib

Chen²,

Gong³

et al. 2009

Geo-spatial Information Science

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In this paper, we apply lagged correlation analysis to study the effects of vegetation cover on the summer climate in different zones of China, using NOAA/AVHRR normalized difference vegetation index (NDVI) data during the time period from 1982 to 2001 and climate data of 365 meteorological stations across China (precipitation from 1982 to 2001 and temperature from 1982 to 1998). The results show that there are positive correlations between spring NDVI and summer climate(temperature and precipitation) in most zones of China; these suggest that, when the vegetation cover increases, the summer precipitation will increase, and the lagged correlations show a significant difference between zones. The stronger correlations between NDVI in previous season and summer climate occur in three zones (Mid-temperate zone, Warm-temperate zone and Plateau climate zone), and this implies that vegetation changes have more sensitive feedback effects on climate in the three zones in China.

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Estimating Net Primary Production in Xinjiang Through Remote Sensing

Liu²,

Yang³

et al. 2009

Water and Sustainability in Arid Regions

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The effects of climate on development of ecosystem in oasis

Cited by 13 publications

References 3 publications

Impacts of land use and climate change on the net primary productivity in XinJiang based on remote sensing

Impacts of land use and climate change on the net primary productivity in XinJiang based on remote sensing

Effects of vegetation cover on summer climate in China during 1982–2001

Estimating Net Primary Production in Xinjiang Through Remote Sensing

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