Forest drought-induced diversity of Hyrcanian individual-tree mortality affected by meteorological and hydrological droughts by analyzing moderate resolution imaging spectroradiometer products and spatial autoregressive models over northeast Iran

Abstract This study sought to assess the spatial variations of physiological responses of Hyrcanian forests to the hazard intensity of meteorological and hydrological droughts for properly assessing drought-induced tree mortality in northeastern Iran. A variety of time series moderate resolution imaging spectroradiometer (MODIS) products and ground-based measurements were applied to derive the multiple dimensions of droughts and forest stresses. Drought hazard intensity was computed with the combination of the severity, frequency and duration of drought dimensions for each variable. The intensity of tree mortality was calculated by Simpson’s diversity index with surveying 30,000 individuals of commercial species suspected to dieback within 100 intact parcels. Spatial autoregressive models were carried out to determine significant meteorological and hydrological drivers that controlling biological responses of forests to drought events and associations of the diversity of tree mortality with these forest responses. Results showed that the hazard intensity of forest water-content-deficit and greenness loss showed higher relationships with the high land surface temperatures and actual evapotranspiration than the precipitation and surface water deficits, however, they did not show significant relationships with the groundwater deficit. Moreover, diversity of tree mortality was associated with forest water-content-deficit from moderate to death stages and with forest greenness loss in the only very high defoliation stage. The critical values of forest droughts and diversity of mortality were recorded for the climax tree species. Understanding satellite-derived physiological responses of forests to droughts might help to assess the intensity of tree mortality widely to adopt appropriate strategies for mitigating the impacts of droughts on the tree species.

[1]  J. Marengo,et al.  Frequency, duration and severity of drought in the Semiarid Northeast Brazil region , 2018 .

[2]  F. Lloret,et al.  Drought-Induced Multifactor Decline of Scots Pine in the Pyrenees and Potential Vegetation Change by the Expansion of Co-occurring Oak Species , 2010, Ecosystems.

[3]  S. Davis,et al.  Increasing probability of mortality during Indian heat waves , 2017, Science Advances.

[4]  Sergio M. Vicente-Serrano,et al.  To die or not to die: early warnings of tree dieback in response to a severe drought , 2015 .

[5]  L. Anderegg,et al.  Consequences of widespread tree mortality triggered by drought and temperature stress , 2013 .

[6]  T. Tadesse,et al.  The Vegetation Outlook (VegOut): A New Method for Predicting Vegetation Seasonal Greenness , 2010 .

[7]  Manfred F. Buchroithner,et al.  Spatiotemporal drought evaluation of Hyrcanian deciduous forests and semi‐steppe rangelands using moderate resolution imaging spectroradiometer time series in Northeast Iran , 2018, Land Degradation & Development.

[8]  N. McDowell,et al.  Mechanisms Linking Drought, Hydraulics, Carbon Metabolism, and Vegetation Mortality1[W] , 2011, Plant Physiology.

[9]  M. Saurer,et al.  The fate of recently fixed carbon after drought release: towards unravelling C storage regulation in Tilia platyphyllos and Pinus sylvestris. , 2017, Plant, cell & environment.

[10]  N. Buchmann,et al.  Towards an advanced assessment of the hydrological vulnerability of forests to climate change-induced drought. , 2014, The New phytologist.

[11]  Sergio M. Vicente-Serrano,et al.  Response of vegetation to drought time-scales across global land biomes , 2012, Proceedings of the National Academy of Sciences.

[12]  Aaron S. Weed,et al.  Observed and anticipated impacts of drought on forest insects and diseases in the United States , 2016 .

[13]  J. Boyer Biochemical and biophysical aspects of water deficits and the predisposition to disease. , 1995, Annual review of phytopathology.

[14]  R. Nemani,et al.  Persistent effects of a severe drought on Amazonian forest canopy , 2012, Proceedings of the National Academy of Sciences.

[15]  Hirofumi Hashimoto,et al.  El Niño–Southern Oscillation–induced variability in terrestrial carbon cycling , 2004 .

[16]  P. Burridge,et al.  On the Cliff‐Ord Test for Spatial Correlation , 1980 .

[17]  A. Nardini,et al.  Global convergence in the vulnerability of forests to drought , 2012, Nature.

[18]  T. White Weather, Eucalyptus Dieback in New England, and a General Hypothesis of the Cause of Dieback , 1986 .

[19]  Tonny J. Oyana,et al.  Spatial Analysis: Statistics, Visualization, and Computational Methods , 2015 .

[20]  C. Peng,et al.  Monitoring and estimating drought-induced impacts on forest structure, growth, function, and ecosystem services using remote-sensing data: recent progress and future challenges , 2013 .

[21]  N. Diffenbaugh,et al.  Fine-scale processes regulate the response of extreme events to global climate change. , 2005, Proceedings of the National Academy of Sciences of the United States of America.

[22]  C. Tucker Red and photographic infrared linear combinations for monitoring vegetation , 1979 .

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

[24]  S. Vicente‐Serrano,et al.  Impacts of drought at different time scales on forest growth across a wide climatic gradient in north-eastern Spain , 2011 .

[25]  D. Bell,et al.  A window of opportunity for climate-change adaptation: easing tree mortality by reducing forest basal area , 2017 .

[26]  Keith R Hayes,et al.  Exposure of trees to drought-induced die-off is defined by a common climatic threshold across different vegetation types , 2014, Ecology and evolution.

[27]  B. Wardlow,et al.  Integration of climate time series and MODIS data as an analysis tool for forest drought detection , 2015 .

[28]  Xiang Zhao,et al.  Dynamic responses of tree‐ring growth to multiple dimensions of drought , 2018, Global change biology.

[29]  T. David,et al.  Water and forests in the Mediterranean hot climate zone: a review based on a hydraulic interpretation of tree functioning , 2016 .

[30]  M. Moran,et al.  Thermal infrared measurement as an indicator of plant ecosystem health , 2003 .

[31]  L. Anselin Local Indicators of Spatial Association—LISA , 2010 .

[32]  James P. Verdin,et al.  Evaluation of MODIS NDVI and NDWI for vegetation drought monitoring using Oklahoma Mesonet soil moisture data , 2008 .

[33]  Gabriel B. Senay,et al.  Enhancing the Simplified Surface Energy Balance (SSEB) approach for estimating landscape ET: Validation with the METRIC model , 2011 .

[34]  S. Malone Monitoring Changes in Water Use Efficiency to Understand Drought Induced Tree Mortality , 2017 .

[35]  Shunlin Liang,et al.  Time‐lag effects of global vegetation responses to climate change , 2015, Global change biology.

[36]  B. Gao NDWI—A normalized difference water index for remote sensing of vegetation liquid water from space , 1996 .

[37]  G. Bonan Forests and Climate Change: Forcings, Feedbacks, and the Climate Benefits of Forests , 2008, Science.

[38]  Prasanna H. Gowda,et al.  Operational Evapotranspiration Mapping Using Remote Sensing and Weather Datasets: A New Parameterization for the SSEB Approach , 2013 .

[39]  P. S. Roy,et al.  Land Surface Water Index (LSWI) response to rainfall and NDVI using the MODIS Vegetation Index product , 2010 .

[40]  Joel R. Brown,et al.  Patterns of tree dieback in Queensland, Australia: the importance of drought stress and the role of resistance to cavitation , 2004, Oecologia.

[41]  I. Nalbantis Evaluation of a Hydrological Drought Index , 2009 .

[42]  P. Poschlod,et al.  Contrasting Effects of Extreme Drought and Snowmelt Patterns on Mountain Plants along an Elevation Gradient , 2017, Front. Plant Sci..

[43]  Nicolas Barbier,et al.  Remote sensing detection of droughts in Amazonian forest canopies. , 2010, The New phytologist.

[44]  N. McDowell,et al.  A global overview of drought and heat-induced tree mortality reveals emerging climate change risks for forests , 2010 .

[45]  N. Coops,et al.  Relationships between individual‐tree mortality and water‐balance variables indicate positive trends in water stress‐induced tree mortality across North America , 2017, Global change biology.

[46]  A. Larson,et al.  Historical spatial patterns and contemporary tree mortality in dry mixed-conifer forests , 2016 .

[47]  Peter A. Troch,et al.  Temperature sensitivity of drought-induced tree mortality portends increased regional die-off under global-change-type drought , 2009, Proceedings of the National Academy of Sciences.

[48]  N. McDowell,et al.  Mechanisms of plant survival and mortality during drought: why do some plants survive while others succumb to drought? , 2008, The New phytologist.

[49]  Marianne E. Porter,et al.  Differential tree mortality in response to severe drought: evidence for long‐term vegetation shifts , 2005 .

[50]  S. Ganguly,et al.  Amazon forests did not green‐up during the 2005 drought , 2009 .

[51]  Dar A. Roberts,et al.  Remotely sensed heat anomalies linked with Amazonian forest biomass declines , 2011 .

[52]  William P. Kustas,et al.  Thermal-Based Evaporative Stress Index for Monitoring Surface Moisture Depletion , 2017 .

[53]  E. H. Simpson Measurement of Diversity , 1949, Nature.

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

[55]  Yufang Jin,et al.  Detecting Drought-Induced Tree Mortality in Sierra Nevada Forests with Time Series of Satellite Data , 2017, Remote. Sens..

[56]  K. Price,et al.  Regional vegetation die-off in response to global-change-type drought. , 2005, Proceedings of the National Academy of Sciences of the United States of America.

[57]  Josep Peñuelas,et al.  Leaf and stand-level carbon uptake of a Mediterranean forest estimated using the satellite-derived reflectance indices EVI and PRI , 2012 .

[58]  G. Sun,et al.  Echohydrological implications of drought for forests in the United States , 2016 .

[59]  D. Bowman,et al.  Xylem function and growth rate interact to determine recovery rates after exposure to extreme water deficit. , 2010, The New phytologist.

[60]  Jeffrey B. Basara,et al.  Sensitivity analysis of vegetation indices to drought over two tallgrass prairie sites , 2015 .

[61]  L. Anselin,et al.  Modern Spatial Econometrics in Practice: A Guide to GeoDa, GeoDaSpace and PySAL , 2014 .

[62]  J. Boenigk,et al.  Biodiversity and Earth History , 2015, Springer Berlin Heidelberg.

[63]  P. Shafroth,et al.  Responses of Riparian Cottonwoods to Alluvial Water Table Declines , 1999, Environmental management.

[64]  Thomas Hickler,et al.  Is drought‐induced forest dieback globally increasing? , 2013 .

[65]  S. Ganguly,et al.  Widespread decline in greenness of Amazonian vegetation due to the 2010 drought , 2011 .

[66]  José A. Sobrino,et al.  Multi-temporal analysis of MODIS Land Products over the Amazon region , 2012, 2012 IEEE International Geoscience and Remote Sensing Symposium.

[67]  Felix Kogan,et al.  Ecosystem Drought Response Timescales from Thermal Emission versus Shortwave Remote Sensing , 2017 .

[68]  R. Woods,et al.  Contributing factors for drought in United States forest ecosystems under projected future climates and their uncertainty , 2016 .

[69]  D. Valiukas,et al.  Drought identification in the eastern Baltic region using NDVI , 2017 .

[70]  Feng Gao,et al.  Comparison of satellite-derived LAI and precipitation anomalies over Brazil with a thermal infrared-based Evaporative Stress Index for 2003–2013 , 2015 .

[71]  Martha C. Anderson,et al.  Examining Rapid Onset Drought Development Using the Thermal Infrared–Based Evaporative Stress Index , 2013 .

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

[73]  Jan Verbesselt,et al.  Forecasting tree mortality using change metrics derived from MODIS satellite data , 2009 .

[74]  A. Auclair Extreme climatic fluctuations as a cause of forest dieback in the pacific rim , 1993, Water, Air, and Soil Pollution.

[75]  R. Sánchez‐Salguero,et al.  Limited Growth Recovery after Drought-Induced Forest Dieback in Very Defoliated Trees of Two Pine Species , 2016, Front. Plant Sci..

[76]  R. Seager,et al.  Temperature as a potent driver of regional forest drought stress and tree mortality , 2013 .

[77]  B. Dell,et al.  Sudden forest canopy collapse corresponding with extreme drought and heat in a mediterranean-type eucalypt forest in southwestern Australia , 2013, European Journal of Forest Research.

[78]  P. Barbosa,et al.  World drought frequency, duration, and severity for 1951–2010 , 2014 .