The Influences of Drought and Land-Cover Conversion on Inter-Annual Variation of NPP in the Three-North Shelterbelt Program Zone of China Based on MODIS Data

Terrestrial ecosystems greatly contribute to carbon (C) emission reduction targets through photosynthetic C uptake.Net primary production (NPP) represents the amount of atmospheric C fixed by plants and accumulated as biomass. The Three-North Shelterbelt Program (TNSP) zone accounts for more than 40% of China’s landmass. This zone has been the scene of several large-scale ecological restoration efforts since the late 1990s, and has witnessed significant changes in climate and human activities.Assessing the relative roles of different causal factors on NPP variability in TNSP zone is very important for establishing reasonable local policies to realize the emission reduction targets for central government. In this study, we examined the relative roles of drought and land cover conversion(LCC) on inter-annual changes of TNSP zone for 2001–2010. We applied integrated correlation and decomposition analyses to a Standardized Evapotranspiration Index (SPEI) and MODIS land cover dataset. Our results show that the 10-year average NPP within this region was about 420 Tg C. We found that about 60% of total annual NPP over the study area was significantly correlated with SPEI (p<0.05). The LCC-NPP relationship, which is especially evident for forests in the south-central area, indicates that ecological programs have a positive impact on C sequestration in the TNSP zone. Decomposition analysis generally indicated that the contributions of LCC, drought, and other Natural or Anthropogenic activities (ONA) to changes in NPP generally had a consistent distribution pattern for consecutive years. Drought and ONA contributed about 74% and 23% to the total changes in NPP, respectively, and the remaining 3% was attributed to LCC. Our results highlight the importance of rainfall supply on NPP variability in the TNSP zone.

[1]  Corinne Le Quéré,et al.  Climate Change 2013: The Physical Science Basis , 2013 .

[2]  Alemu Gonsamo,et al.  Global vegetation productivity response to climatic oscillations during the satellite era , 2016, Global change biology.

[3]  Xuemei Jiang,et al.  The potential for reducing China's carbon dioxide emissions: Role of foreign-invested enterprises , 2015 .

[4]  Jin-Hua Xu,et al.  CO2 emissions reduction potential in China’s cement industry compared to IEA’s Cement Technology Roadmap up to 2050 , 2014 .

[5]  Feng Liu,et al.  Impact of prolonged drought on rainfall use efficiency using MODIS data across China in the early 21st century , 2014 .

[6]  Damien Sulla-Menashe,et al.  Enhancing MODIS land cover product with a spatial–temporal modeling algorithm , 2014 .

[7]  Yanyun Luo,et al.  Predicted NPP spatiotemporal variations in a semiarid steppe watershed for historical and trending climates , 2014 .

[8]  Chaoyang Wu,et al.  Reconstruction of interannual variability of NEP using a process‐based model (InTEC) with climate and atmospheric records at Fluxnet‐Canada forest sites , 2014 .

[9]  Jianlong Li,et al.  Effects of ecological restoration projects on land use and land cover change and its influences on territorial NPP in Xinjiang, China , 2014 .

[10]  Chaoyang Wu,et al.  Accelerating Forest Growth Enhancement due to Climate and Atmospheric Changes in British Colombia, Canada over 1956-2001 , 2014, Scientific Reports.

[11]  Shenglu Zhou,et al.  Determining the contributions of urbanisation and climate change to NPP variations over the last decade in the Yangtze River Delta, China. , 2014, The Science of the total environment.

[12]  F. Lecocq,et al.  Combining an inter-sectoral carbon tax with sectoral mitigation policies: Impacts on the French forest sector , 2013 .

[13]  Guirui Yu,et al.  Spatial variations in aboveground net primary productivity along a climate gradient in Eurasian temperate grassland: effects of mean annual precipitation and its seasonal distribution , 2012 .

[14]  H. Fang,et al.  Characteristics and drivers of global NDVI‐based FPAR from 1982 to 2006 , 2012 .

[15]  Steven W. Running,et al.  Reconciling satellite with ground data to estimate forest productivity at national scales , 2012 .

[16]  J. Uusivuori,et al.  Impacts of carbon-based policy instruments and taxes on tropical deforestation , 2012 .

[17]  D. Zhuang,et al.  Assessment of the relative role of climate change and human activities in desertification: A review , 2011 .

[18]  Paolo Paron,et al.  Mixed-effects modelling of time series NDVI-rainfall relationship for detecting human-induced loss of vegetation cover in drylands , 2010 .

[19]  Sergio M. Vicente-Serrano,et al.  A Multiscalar Global Drought Dataset: The SPEIbase: A New Gridded Product for the Analysis of Drought Variability and Impacts , 2010 .

[20]  Peter B. Reich,et al.  Limited potential for terrestrial carbon sequestration to offset fossil-fuel emissions in the upper midwestern US. , 2010 .

[21]  Maosheng Zhao,et al.  Drought-Induced Reduction in Global Terrestrial Net Primary Production from 2000 Through 2009 , 2010, Science.

[22]  S. Vicente‐Serrano,et al.  A Multiscalar Drought Index Sensitive to Global Warming: The Standardized Precipitation Evapotranspiration Index , 2009 .

[23]  Runsheng Yin,et al.  China’s Primary Programs of Terrestrial Ecosystem Restoration: Initiation, Implementation, and Challenges , 2010, Environmental management.

[24]  R. Yin,et al.  Assessing China’s Ecological Restoration Programs: What’s Been Done and What Remains to Be Done? , 2010, Environmental management.

[25]  Alan G. Barr,et al.  Net ecosystem productivity of temperate and boreal forests after clearcutting—a Fluxnet-Canada measurement and modelling synthesis , 2010 .

[26]  Zhibao Dong,et al.  Has the Three Norths Forest Shelterbelt Program solved the desertification and dust storm problems in arid and semiarid China , 2010 .

[27]  Mary J. Bortscheller Equitable But Ineffective: How The Principle Of Common But Differentiated Responsibilities Hobbles The Global Fight Against Climate Change , 2010 .

[28]  P. Ciais,et al.  Spatiotemporal patterns of terrestrial carbon cycle during the 20th century , 2009 .

[29]  Corinne Le Quéré,et al.  Trends in the sources and sinks of carbon dioxide , 2009 .

[30]  Sergio M. Vicente-Serrano,et al.  A multi-scalar drought index sensitive to global warming: The Standardized Precipitation Evapotranspiration Index - SPEI , 2009 .

[31]  Stefan Bringezu,et al.  The European carbon balance. Part 4: integration of carbon and other trace‐gas fluxes , 2009 .

[32]  Jianjun Pan,et al.  Assessing the relative role of climate change and human activities in sandy desertification of Ordos region, China , 2009 .

[33]  Philippe Ciais,et al.  The carbon balance of terrestrial ecosystems in China , 2009, Nature.

[34]  Jun-Feng Xu,et al.  Assessing the response of seasonal variation of net primary productivity to climate using remote sensing data and geographic information system techniques in Xinjiang. , 2008, Journal of integrative plant biology.

[35]  Jianhui Huang,et al.  Primary production and rain use efficiency across a precipitation gradient on the Mongolia Plateau. , 2008, Ecology.

[36]  Jianguo Liu,et al.  Ecological and socioeconomic effects of China's policies for ecosystem services , 2008, Proceedings of the National Academy of Sciences.

[37]  Michael T. Bennett,et al.  China's sloping land conversion program: Institutional innovation or business as usual? , 2008 .

[38]  Rui Deng,et al.  Assessing the response of seasonal variation of NPP to climate using remote sensing data and GIS techniques in Xinjiang , 2008 .

[39]  Douglas I. Moore,et al.  Aboveground net primary production dynamics in a northern Chihuahuan Desert ecosystem , 2008, Oecologia.

[40]  Guangyu Wang,et al.  China's Forestry Reforms , 2007, Science.

[41]  Vincent R. Gray Climate Change 2007: The Physical Science Basis Summary for Policymakers , 2007 .

[42]  Yu Guirui,et al.  Spatiotemporal dynamics of aboveground primary productivity along a precipitation gradient in Chinese temperate grassland , 2007 .

[43]  Yi-Ming Wei,et al.  Carbon taxation policy in China: How to protect energy- and trade-intensive sectors? , 2007 .

[44]  S. Solomon The Physical Science Basis : Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change , 2007 .

[45]  H. L. Miller,et al.  Global climate projections , 2007 .

[46]  H. L. Miller,et al.  Climate Change 2007: The Physical Science Basis , 2007 .

[47]  Jennifer Small,et al.  Can human-induced land degradation be distinguished from the effects of rainfall variability? A case study in South Africa , 2007 .

[48]  W. Cohen,et al.  Evaluation of MODIS NPP and GPP products across multiple biomes. , 2006 .

[49]  Jintao Xu,et al.  China's ecological rehabilitation: Unprecedented efforts, dramatic impacts, and requisite policies , 2006 .

[50]  Maosheng Zhao,et al.  Sensitivity of Moderate Resolution Imaging Spectroradiometer (MODIS) terrestrial primary production to the accuracy of meteorological reanalyses , 2006 .

[51]  Sergio M. Vicente-Serrano,et al.  Differences in Spatial Patterns of Drought on Different Time Scales: An Analysis of the Iberian Peninsula , 2006 .

[52]  R. Leuning,et al.  Carbon and water fluxes over a temperate Eucalyptus forest and a tropical wet/dry savanna in Australia: measurements and comparison with MODIS remote sensing estimates , 2005 .

[53]  J. S. Kimball,et al.  Improving continuity of MODIS terrestrial photosynthesis products using an interpolation scheme for cloudy pixels , 2005 .

[54]  W. Cohen,et al.  Site‐level evaluation of satellite‐based global terrestrial gross primary production and net primary production monitoring , 2005 .

[55]  Maosheng Zhao,et al.  Improvements of the MODIS terrestrial gross and net primary production global data set , 2005 .

[56]  Shinji Kaneko,et al.  Driving forces behind the stagnancy of China's energy-related CO2 emissions from 1996 to 1999: The relative importance of structural change, intensity change and scale change , 2005 .

[57]  K. Ohta,et al.  The role of climate variability in the inter-annual variation of terrestrial net primary production (NPP). , 2004, The Science of the total environment.

[58]  Donald L. Phillips,et al.  Rising atmospheric CO2 and carbon sequestration in forests , 2004 .

[59]  Scott M. Klara,et al.  Integrated collaborative technology development program for CO2 sequestration in geologic formations––United States Department of Energy R&D , 2003 .

[60]  C. Tucker,et al.  Climate-Driven Increases in Global Terrestrial Net Primary Production from 1982 to 1999 , 2003, Science.

[61]  R. Lal,et al.  Offsetting global CO2 emissions by restoration of degraded soils and intensification of world agriculture and forestry , 2003 .

[62]  Helmut Haberl,et al.  Land-use change and socio-economic metabolism in Austria—Part I: driving forces of land-use change: 1950–1995 , 2003 .

[63]  Cristina Milesi,et al.  User's Guide GPP and NPP (MOD17A2/A3) Products NASA MODIS Land Algorithm , 2003 .

[64]  Alan H. Strahler,et al.  Global land cover mapping from MODIS: algorithms and early results , 2002 .

[65]  A. Huete,et al.  Overview of the radiometric and biophysical performance of the MODIS vegetation indices , 2002 .

[66]  Trevor Platt,et al.  Primary productivity of planet earth: biological determinants and physical constraints in terrestrial and aquatic habitats , 2001 .

[67]  J. Canadell,et al.  Recent patterns and mechanisms of carbon exchange by terrestrial ecosystems , 2001, Nature.

[68]  A. Sutera,et al.  Fifty Years of Precipitation: Some Spatially Remote Teleconnnections , 2001 .

[69]  A. Knapp,et al.  Variation among biomes in temporal dynamics of aboveground primary production. , 2001, Science.

[70]  J. Kasting,et al.  Greenhouse warming by CH4 in the atmosphere of early Earth. , 2000, Journal of geophysical research.

[71]  Changhui Peng,et al.  Modelling the response of net primary productivity (NPP) of boreal forest ecosystems to changes in climate and fire disturbance regimes , 1999 .

[72]  Edward B. Rastetter,et al.  Forest Ecosystems, Analysis at Multiple Scales, 2nd Edition , 1999 .

[73]  J. Scepan,et al.  Thematic validation of high-resolution Global Land-Cover Data sets , 1999 .

[74]  Alan H. Strahler,et al.  The IGBP DISCover confidence sites and the system for terrestrial ecosystem parameterization: tools , 1999 .

[75]  George M. Woodwell,et al.  Missing sinks, feedbacks, and understanding the role of terrestrial ecosystems in the global carbon balance , 1998 .

[76]  S. Running,et al.  Contrasting Climatic Controls on the Estimated Productivity of Global Terrestrial Biomes , 1998, Ecosystems.

[77]  H. Mooney,et al.  Human Domination of Earth’s Ecosystems , 1997, Renewable Energy.

[78]  Thomas R. Loveland,et al.  The IGBP-DIS global 1 km land cover data set , 1997 .

[79]  D. Etheridge,et al.  Natural and anthropogenic changes in atmospheric CO2 over the last 1000 years from air in Antarctic ice and firn , 1996 .

[80]  Hui Qing Liu,et al.  An error and sensitivity analysis of the atmospheric- and soil-correcting variants of the NDVI for the MODIS-EOS , 1994, IEEE Trans. Geosci. Remote. Sens..

[81]  A. McGuire,et al.  Global climate change and terrestrial net primary production , 1993, Nature.

[82]  T. McKee,et al.  THE RELATIONSHIP OF DROUGHT FREQUENCY AND DURATION TO TIME SCALES , 1993 .

[83]  R. Jackson,et al.  Interpreting vegetation indices , 1991 .

[84]  D. Jenkinson,et al.  Model estimates of CO2 emissions from soil in response to global warming , 1991, Nature.

[85]  Richard H. Waring,et al.  Forest Ecosystems: Analysis at Multiple Scales , 1985 .

[86]  I. Noy-Meir,et al.  Desert Ecosystems: Environment and Producers , 1973 .

[87]  C. W. Thornthwaite An approach toward a rational classification of climate. , 1948 .