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
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[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 .