Divergent changes in the elevational gradient of vegetation activities over the last 30 years

The reported progressive change of vegetation activity along elevational gradients has important aesthetic and conservation values. With climate change, cooler locations are suggested to warm faster than warmer ones, raising concerns of a more homogenized landscape along the elevation. Here, we use global satellite data to investigate the spatio-temporal dynamics of the elevational gradient (EG) in vegetation greenness (NDVImax3), spring (SOS) and autumn phenology (EOS) during 1982–2015. Although we find clear geographical patterns of the EG in NDVImax3 and SOS, there are no prevalent trends of vegetation homogenization or phenology synchronization along elevational gradients. Possible mechanisms, including spatially heterogeneous temperature lapse rate changes, different vegetation sensitivities to climate change, and human disturbances, may play diverse roles across different regions. Our finding of mixed EG trends and no general rules controlling EG dynamics poses challenges for mitigating possible adverse impacts of climate change on mountainous biological diversity and ecosystem services.Climate change may lead to changes in elevational patterns of vegetation activitities. Here, the authors analyze global remotely sensing data collected during 1982–2015 to investigate the spatio-temporal dynamics of the elevational gradient in vegetation activities.

[1]  A. Humboldt Cosmos: A Sketch of the Physical Description of the Universe , 1849 .

[2]  R. Di Pietro Population density. , 1973, Science.

[3]  C. J. Tucker,et al.  Relationship between atmospheric CO2 variations and a satellite-derived vegetation index , 1986, Nature.

[4]  R. Bradshaw,et al.  Climatic change, human influence and disturbance regime in the control of vegetation dynamics within Fiby Forest, Sweden , 1992 .

[5]  P. A. Schultz,et al.  Global correlation of temperature, NDVI and precipitation , 1993 .

[6]  P. A. Schultz,et al.  Global analysis of the relationships among a vegetation index, precipitation and land surface temperature , 1995 .

[7]  C. Elvidge,et al.  Mapping City Lights With Nighttime Data from the DMSP Operational Linescan System , 1997 .

[8]  R. Amasino,et al.  Making Sense of Senescence (Molecular Genetic Regulation and Manipulation of Leaf Senescence) , 1997, Plant physiology.

[9]  Mountains of the world : a global priority , 1999 .

[10]  K. Armitage,et al.  Climate change is affecting altitudinal migrants and hibernating species. , 2000, Proceedings of the National Academy of Sciences of the United States of America.

[11]  Isabelle Chuine,et al.  Phenology is a major determinant of tree species range , 2001 .

[12]  Kazuhito Ichii,et al.  Global monitoring of interannual changes in vegetation activities using NDVI and its relationships to temperature and precipitation , 2001 .

[13]  D. Legates,et al.  Crop identification using harmonic analysis of time-series AVHRR NDVI data , 2002 .

[14]  Jakob van Zyl,et al.  The Shuttle Radar Topography Mission (SRTM): a breakthrough in remote sensing of topography , 2001 .

[15]  Kazuhito Ichii,et al.  Global monitoring of interannual changes in vegetation activities using NDVI and its relationships to temperature and precipitation , 2001 .

[16]  A. Strahler,et al.  Monitoring vegetation phenology using MODIS , 2003 .

[17]  K. Kitayama An altitudinal transect study of the vegetation on Mount Kinabalu, Borneo , 1992, Vegetatio.

[18]  Deriving phenological indicators from SPOT-VGT data using the HANTS algorithm , 2005 .

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

[20]  Edwin W. Pak,et al.  An extended AVHRR 8‐km NDVI dataset compatible with MODIS and SPOT vegetation NDVI data , 2005 .

[21]  J. Peñuelas,et al.  European phenological response to climate change matches the warming pattern , 2006 .

[22]  P. Ciais,et al.  Variations in satellite‐derived phenology in China's temperate vegetation , 2006 .

[23]  C. Körner The use of 'altitude' in ecological research. , 2007, Trends in ecology & evolution.

[24]  J. Sickman,et al.  Effects of Urbanization on Organic Carbon Loads in the Sacramento River, California , 2007 .

[25]  W. P. Ball,et al.  Comparison of quantification methods to measure fire‐derived (black/elemental) carbon in soils and sediments using reference materials from soil, water, sediment and the atmosphere , 2007 .

[26]  M. Meybeck,et al.  Mountains of the world, water towers for humanity: Typology, mapping, and global significance , 2007 .

[27]  Philippe Ciais,et al.  Growing season extension and its impact on terrestrial carbon cycle in the Northern Hemisphere over the past 2 decades , 2007 .

[28]  R. Giering,et al.  Retrieving surface parameters for climate models from Moderate Resolution Imaging Spectroradiometer (MODIS)-Multiangle Imaging Spectroradiometer (MISR) Albedo Products , 2007 .

[29]  Benoit Laignel,et al.  Investigating possible links between the North Atlantic Oscillation and rainfall variability in northwestern France over the past 35 years , 2007 .

[30]  Michael L. Goulden,et al.  Are tropical forests near a high temperature threshold , 2008 .

[31]  P. Marquet,et al.  A Significant Upward Shift in Plant Species Optimum Elevation During the 20th Century , 2008, Science.

[32]  K. Ranson,et al.  Tree vegetation of the forest-tundra ecotone in the Western Sayan mountains and climatic trends , 2008, Russian Journal of Ecology.

[33]  M. Richter,et al.  Tree phenology in montane forests of southern Ecuador can be explained by precipitation, radiation and photoperiodic control , 2008, Journal of Tropical Ecology.

[34]  M. Schaepman,et al.  Intercomparison, interpretation, and assessment of spring phenology in North America estimated from remote sensing for 1982–2006 , 2009 .

[35]  Emilio Chuvieco,et al.  Debating the greening vs. browning of the North American boreal forest: differences between satellite datasets , 2010 .

[36]  Damien Sulla-Menashe,et al.  MODIS Collection 5 global land cover: Algorithm refinements and characterization of new datasets , 2010 .

[37]  Jean-Pierre Wigneron,et al.  Monitoring elevation variations in leaf phenology of deciduous broadleaf forests from SPOT/VEGETATION time-series , 2011 .

[38]  J. Thepaut,et al.  The ERA‐Interim reanalysis: configuration and performance of the data assimilation system , 2011 .

[39]  P. Ciais,et al.  Spring temperature change and its implication in the change of vegetation growth in North America from 1982 to 2006 , 2011, Proceedings of the National Academy of Sciences.

[40]  Yanhong Tang,et al.  Altitude and temperature dependence of change in the spring vegetation green-up date from 1982 to 2006 in the Qinghai-Xizang Plateau , 2011 .

[41]  R. Corlett,et al.  Impacts of warming on tropical lowland rainforests. , 2011, Trends in ecology & evolution.

[42]  R. Bertrand,et al.  Changes in plant community composition lag behind climate warming in lowland forests , 2011, Nature.

[43]  O. Sonnentag,et al.  Climate change, phenology, and phenological control of vegetation feedbacks to the climate system , 2013 .

[44]  Tao Wang,et al.  Changes in satellite‐derived spring vegetation green‐up date and its linkage to climate in China from 1982 to 2010: a multimethod analysis , 2013, Global change biology.

[45]  Xiaolin Zhu,et al.  Vegetation cover variation in the Qilian Mountains and its response to climate change in 2000–2011 , 2013, Journal of Mountain Science.

[46]  Steven J. Phillips,et al.  Shifts in Arctic vegetation and associated feedbacks under climate change , 2013 .

[47]  Alexander von Cosmos : a Sketch of a Physical Description of the Universe , 2014 .

[48]  Shijo Joseph,et al.  Consistent response of vegetation dynamics to recent climate change in tropical mountain regions , 2014, Global change biology.

[49]  Yanhong Tang,et al.  Earlier-Season Vegetation Has Greater Temperature Sensitivity of Spring Phenology in Northern Hemisphere , 2014, PloS one.

[50]  Liming Zhou,et al.  Afforestation in China cools local land surface temperature , 2014, Proceedings of the National Academy of Sciences.

[51]  P. Ciais,et al.  Leaf onset in the northern hemisphere triggered by daytime temperature , 2015, Nature Communications.

[52]  Jinwei Dong,et al.  Elevation‐dependent relationships between climate change and grassland vegetation variation across the Qinghai‐Xizang Plateau , 2015 .

[53]  Josep Peñuelas,et al.  Alteration of the phenology of leaf senescence and fall in winter deciduous species by climate change: effects on nutrient proficiency , 2015, Global change biology.

[54]  H. Fowler,et al.  Elevation-dependent warming in mountain regions of the world , 2015 .

[55]  B. Poulter,et al.  Detection and attribution of vegetation greening trend in China over the last 30 years , 2015, Global change biology.

[56]  M. Shen,et al.  Precipitation impacts on vegetation spring phenology on the Tibetan Plateau , 2015, Global change biology.

[57]  Ruyin Cao,et al.  Temperature sensitivity as an explanation of the latitudinal pattern of green‐up date trend in Northern Hemisphere vegetation during 1982–2008 , 2015 .

[58]  Philippe Ciais,et al.  Declining global warming effects on the phenology of spring leaf unfolding , 2015, Nature.

[59]  R. Vautard,et al.  Regional air pollution brightening reverses the greenhouse gases induced warming‐elevation relationship , 2015 .

[60]  Shilong Piao,et al.  Delayed autumn phenology in the Northern Hemisphere is related to change in both climate and spring phenology , 2016, Global change biology.

[61]  Shilong Piao,et al.  Temperature, precipitation, and insolation effects on autumn vegetation phenology in temperate China , 2016, Global change biology.

[62]  Bin Chen,et al.  Pattern of NDVI-based vegetation greening along an altitudinal gradient in the eastern Himalayas and its response to global warming , 2016, Environmental Monitoring and Assessment.

[63]  J. Canadell,et al.  Greening of the Earth and its drivers , 2016 .

[64]  Stephen E. Fick,et al.  WorldClim 2: new 1‐km spatial resolution climate surfaces for global land areas , 2017 .

[65]  Yann Vitasse,et al.  Global warming leads to more uniform spring phenology across elevations , 2017, Proceedings of the National Academy of Sciences.

[66]  P. Ciais,et al.  Divergent hydrological response to large-scale afforestation and vegetation greening in China , 2018, Science Advances.

[67]  Jinwei Dong,et al.  Elevation‐dependent effects of climate change on vegetation greenness in the high mountains of southwest China during 1982–2013 , 2018 .