Changes in Global Grassland Productivity during 1982 to 2011 Attributable to Climatic Factors

Open, Grass- and Forb-Dominated (OGFD) ecosystems, including tundra, tropical grasslands and savanna, provide habitat for both wild and domesticated large ungulate herbivores. These ecosystems exist across a wide temperature gradient from the Arctic regions to the Equator, but are confined to a narrow set of moisture conditions that range from arid deserts to forest-dominated systems. Primary productivity in OGFD ecosystems appears extremely sensitive to environmental change. We compared global trends in the annual maximum and mean values of the Normalized Difference Vegetation Index (NDVI) and identified the key bioclimatic indices that controlled OGFD productivity changes in various regions for the period from 1982 to 2011. We found significantly increased or decreased annual maximum NDVI values of 36.3% and 4.6% for OGFD ecosystems, respectively. Trends in the annual mean NDVI are similar for most OGFD ecosystems and show greater area decreases and smaller area increases than trends in the annual maximum NDVI in global OGFD ecosystems during the study period. Ecosystems in which the productivity significantly increased were distributed mainly in the Arctic, mid-eastern South America, central Africa, central Eurasia and Oceania, while those with decreasing trends in productivity were mainly on the Mongolian Plateau. Temperature increases tended to improve productivity in colder OGFD ecosystems; and precipitation is positively correlated with productivity changes in grassland and savannas, but negatively correlated with changes in the Arctic tundra. Simple bioclimatic indices explain 42% to 55% of productivity changes in OGFD systems worldwide, and the main climatic predictors of productivity differed significantly between regions. In light of future climate change, the findings of this study will help support management of global OGFD ecosystems.

[1]  S. Dech,et al.  On the relationship between vegetation and climate in tropical and northern Africa , 2013, Theoretical and Applied Climatology.

[2]  Yujie Wang,et al.  Satellite observed widespread decline in Mongolian grasslands largely due to overgrazing , 2014, Global change biology.

[3]  Yiqi Luo,et al.  Net primary productivity and rain‐use efficiency as affected by warming, altered precipitation, and clipping in a mixed‐grass prairie , 2013, Global change biology.

[4]  Limin Yang,et al.  Development of a global land cover characteristics database and IGBP DISCover from 1 km AVHRR data , 2000 .

[5]  I. Hiscock Communities and Ecosystems , 1970, The Yale Journal of Biology and Medicine.

[6]  Wenzhao Liu,et al.  NDVI Variation and Its Responses to Climate Change on the Northern Loess Plateau of China from 1998 to 2012 , 2015 .

[7]  Nicholas C. Coops,et al.  Changes in vegetation photosynthetic activity trends across the Asia-Pacific region over the last three decades , 2014 .

[8]  Nathaniel A. Brunsell,et al.  Timing of climate variability and grassland productivity , 2012, Proceedings of the National Academy of Sciences.

[9]  Yi Y. Liu,et al.  Changing Climate and Overgrazing Are Decimating Mongolian Steppes , 2013, PloS one.

[10]  Qingzhu Gao,et al.  Effects of grazing and climate warming on plant diversity, productivity and living state in the alpine rangelands and cultivated grasslands of the Qinghai-Tibetan Plateau , 2015 .

[11]  Arturo Sanchez-Azofeifa,et al.  Estimating Forest Biomass Dynamics by Integrating Multi-Temporal Landsat Satellite Images with Ground and Airborne LiDAR Data in the Coal Valley Mine, Alberta, Canada , 2015, Remote. Sens..

[12]  M. Abdelguerfi,et al.  Introduction 1.2 Parallel Database Systems 1.2.1 Computation Model 2 1.2 Parallel Database Systems Introduction Select * from Employee, Department Where (employee.dept_no @bullet Department.dept_no) and (employee.position = "manager") (a) Sql Request 1.2.2 Engineering Model , 2022 .

[13]  Qingzhu Gao,et al.  Dynamics of alpine grassland NPP and its response to climate change in Northern Tibet , 2009 .

[14]  N. Pettorelli,et al.  Using the satellite-derived NDVI to assess ecological responses to environmental change. , 2005, Trends in ecology & evolution.

[15]  Russell G. Congalton,et al.  Global Land Cover Mapping: A Review and Uncertainty Analysis , 2014, Remote. Sens..

[16]  Wei Sun,et al.  A Meta-analysis of the Effects of Experimental Warming on Plant Physiology and Growth on the Tibetan Plateau , 2014, Journal of Plant Growth Regulation.

[17]  O. V. Auken Shrub Invasions of North American Semiarid Grasslands , 2000 .

[18]  Reinhard Furrer,et al.  Spatial relationship between climatologies and changes in global vegetation activity , 2013, Global change biology.

[19]  Jing M. Chen,et al.  Comparative Assessment of Grassland NPP Dynamics in Response to Climate Change in China, North America, Europe and Australia from 1981 to 2010 , 2015 .

[20]  Robin P. White,et al.  Pilot analysis of global ecosystems: grassland ecosystems. , 2000 .

[21]  D. Schimel,et al.  Mechanisms of shrubland expansion: land use, climate or CO2? , 1995 .

[22]  Frank Yonghong Li,et al.  Testing simulations of intra‐ and inter‐annual variation in the plant production response to elevated CO2 against measurements from an 11‐year FACE experiment on grazed pasture , 2014, Global change biology.

[23]  O. W. Van Auken,et al.  Causes and consequences of woody plant encroachment into western North American grasslands. , 2009, Journal of environmental management.

[24]  Rasmus Fensholt,et al.  Global-scale mapping of changes in ecosystem functioning from earth observation-based trends in total and recurrent vegetation , 2015 .

[25]  P. Blanken,et al.  Joint control of terrestrial gross primary productivity by plant phenology and physiology , 2015, Proceedings of the National Academy of Sciences.

[26]  Joshua P. Schimel,et al.  Long-term warming restructures Arctic tundra without changing net soil carbon storage , 2013, Nature.

[27]  Philippe Ciais,et al.  Evidence for a weakening relationship between interannual temperature variability and northern vegetation activity , 2014, Nature Communications.

[28]  F. M. Selten,et al.  Future increases in Arctic precipitation linked to local evaporation and sea-ice retreat , 2014, Nature.

[29]  Qingzhu Gao,et al.  Challenges in disentangling the influence of climatic and socio-economic factors on alpine grassland ecosystems in the source area of Asian major rivers , 2013 .

[30]  Yi Y. Liu,et al.  Global vegetation biomass change (1988–2008) and attribution to environmental and human drivers , 2013 .

[31]  S. Goetz,et al.  Vegetation productivity patterns at high northern latitudes: a multi-sensor satellite data assessment , 2014, Global change biology.

[32]  F. O'Mara The role of grasslands in food security and climate change. , 2012, Annals of botany.

[33]  David D. Breshears,et al.  The grassland–forest continuum: trends in ecosystem properties for woody plant mosaics? , 2006 .

[34]  Mark West,et al.  C4 grasses prosper as carbon dioxide eliminates desiccation in warmed semi-arid grassland , 2011, Nature.

[35]  B. Bestelmeyer,et al.  A synthetic review of feedbacks and drivers of shrub encroachment in arid grasslands , 2012 .

[36]  Grant J. Williamson,et al.  Climate-induced variations in global wildfire danger from 1979 to 2013 , 2015, Nature Communications.

[37]  Paul Comtois,et al.  Bioclimatic indices as a tool in pollen forecasting , 2002, International journal of biometeorology.