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Response of biomass Spatial Pattern of Alpine Vegetation to Climate Change in Permafrost Region of the Qinghai-Tibet Plateau,China

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Journal of Mountain Science 2010年第4期7卷 301-314页

作者： ZHANG Yu WANG Genxu WANG Yibo College of Resources & Environment Lanzhou UniversityLanzhou 730000China Institute of Mountain Hazards and Environment Chinese Academy of SciencesChengdu 610041China

Alpine ecosystems in permafrost region are extremely sensitive to climate *** determine spatial pattern variations in alpine meadow and alpine steppe biomass dynamics in the permafrost region of the Qinghai-Tibet Plateau,China,calibrated with historical datasets of above-ground biomass production within the permafrost region's two main ecosystems,an ecosystem-biomass model was developed by employing empirical spatialdistribution models of the study region's precipitation,air temperature and soil *** model was then successfully used to simulate the spatio-temporal variations in annual alpine ecosystem biomass production under climate *** a 0.44°C decade-1 rise in air temperature,the model predicted that the biomasses of alpine meadow and alpine steppe remained roughly the same if annual precipitation increased by 8 mm per decade-1,but the biomasses were decreased by 2.7% and 2.4%,respectively if precipitation was *** a 2.2°C decade-1 rise in air temperature coupled with a 12 mm decade-1 rise in precipitation,the model predicted that the biomass of alpine meadow was unchanged or slightly increased,while that of alpine steppe was increased by 5.2%.However,in the absence of any rise in precipitation,the model predicted 6.8% and 4.6% declines in alpine meadow and alpine steppe biomasses,*** response of alpine steppe biomass to the rising air temperatures and precipitation was significantly lesser and greater,respectively than that of alpine meadow biomass.A better understanding of the difference in alpine ecosystem biomass production under climate change is greatly significant with respect to the influence of climate change on the carbon and water cycles in the permafrost regions of the Qinghai-Tibet Plateau.

关键词： Permafrost change Qinghai-TibetanPlateau Alpine ecosystem grassland biomass Climate change Response model

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Satellite remote sensing of grasslands:from observation to management

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Journal of Plant Ecology 2016年第6期9卷 649-671页

作者： Iftikhar Ali Fiona Cawkwell Edward Dwyer Brian Barrett Stuart Green Department of Geography University College CorkCorkIreland Spatial Analysis Unit TeagascDublinIreland EurOcean-European Centre for Information on Marine Science and Technology LisbonPortugal School of Geographical and Earth Sciences University of GlasgowGlasgowUK

Aims grasslands are the world’s most extensive terrestrial ecosystem,and are a major feed source for *** increasing demand for meat and other dairy products in a sustainable manner is a big *** a field scale,Global Positioning System and ground-based sensor technologies provide promising tools for grassland and herd management with high *** the growth in availability of spaceborne remote sensing data,it is therefore important to revisit the relevant methods and applications that can exploit this *** this article,we have reviewed the(i)current status of grassland monitoring/observation methods and applications based on satellite remote sensing data,(ii)the technological and methodological developments to retrieve different grassland biophysical parameters and management characteristics(***,grazing intensity)and(iii)identified the key remaining challenges and some new upcoming trends for future *** Findings The retrieval of grassland biophysical parameters have evolved in recent years from classical regression analysis to more complex,efficient and robust modeling approaches,driven by satellite data,and are likely to continue to be the most robust method for deriving grassland information,however these require more high quality calibration and validation *** found that the hypertemporal satellite data are widely used for time series generation,and particularly to overcome cloud contamination issues,but the current low spatial resolution of these instruments precludes their use for field-scale application in many *** trend may change with the current rise in launch of satellite constellations,such as RapidEye,Sentinel-2 and even the microsatellites such as those operated by Skybox *** imagery has not been widely used for grassland applications,and a better understanding of the backscatter behaviour from different phenological stages is needed for more reliable products i

关键词： remote sensing agricultural grassland grassland biomass pasture management grazing intensity

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