Forest dynamics in relation to meteorology and soil in the Gulf Coast of Mexico.
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[1] Kevin E. Trenberth,et al. THE SEASONS , 2022, Becoming Rooted.
[2] Rob J Hyndman,et al. Detecting trend and seasonal changes in satellite image time series , 2010 .
[3] Zhihai Ma,et al. An Evaluation of Spatial Autocorrelation and Heterogeneity in the Residuals of Six Regression Models , 2009 .
[4] J. Gamon,et al. Response of NDVI, biomass, and ecosystem gas exchange to long-term warming and fertilization in wet sedge tundra , 2003, Oecologia.
[5] Qinghua Guo,et al. Variation in a satellite-based vegetation index in relation to climate in China , 2004 .
[6] Serge Rambal,et al. Evaluation of the potential of MODIS satellite data to predict vegetation phenology in different biomes: An investigation using ground-based NDVI measurements , 2013 .
[7] A. Huete,et al. A comparison of vegetation indices over a global set of TM images for EOS-MODIS , 1997 .
[8] L. Gómez-Mendoza,et al. Modeling the Effect of Climate Change on the Distribution of Oak and Pine Species of Mexico , 2007, Conservation biology : the journal of the Society for Conservation Biology.
[9] M. Swaine,et al. Rainfall and soil fertility as factors limiting forest species distributions in Ghana , 1996 .
[10] F. Hao,et al. Vegetation NDVI Linked to Temperature and Precipitation in the Upper Catchments of Yellow River , 2012, Environmental Modeling & Assessment.
[11] George H. Taylor,et al. The Prism Approach to Mapping Precipitation and Temperature , 1998 .
[12] C. Canham,et al. Canopy tree-soil interactions within temperate forests: effects of soil elemental composition and texture on species distributions , 1997 .
[13] Martine Rutten,et al. Spatial downscaling of TRMM precipitation using vegetative response on the Iberian Peninsula , 2009 .
[14] Alicia K. Birky,et al. NDVI and a simple model of deciduous forest seasonal dynamics , 2001 .
[15] Yonghui Yang,et al. Application of geographically weighted regression in estimating the effect of climate and site conditions on vegetation distribution in Haihe Catchment, China , 2010, Plant Ecology.
[16] Hong S. He,et al. Using the LANDIS model to evaluate forest harvesting and planting strategies under possible warming climates in Northeastern China , 2008 .
[17] S. Sader,et al. Detection of forest harvest type using multiple dates of Landsat TM imagery , 2002 .
[18] John A. Gamon,et al. Monitoring seasonal and diurnal changes in photosynthetic pigments with automated PRI and NDVI sensors , 2015 .
[19] Philippe Ciais,et al. Evidence for a weakening relationship between interannual temperature variability and northern vegetation activity , 2014, Nature Communications.
[20] R. Lal,et al. Soil structure and management: a review , 2005 .
[21] R. Prăvălie,et al. Detecting climate change effects on forest ecosystems in Southwestern Romania using Landsat TM NDVI data , 2014, Journal of Geographical Sciences.
[22] M. Hutchinson,et al. Potential Impacts of Climate Change on the Distribution of North American Trees , 2007 .
[23] P. Beck,et al. Improved monitoring of vegetation dynamics at very high latitudes: A new method using MODIS NDVI , 2006 .
[24] Elgene O. Box,et al. Predicting physiognomic vegetation types with climate variables , 1981, Vegetatio.
[25] Thomas R. Loveland,et al. Land-use Pressure and a Transition to Forest-cover Loss in the Eastern United States , 2010 .
[26] D. R. Linden,et al. Defining soil quality for a sustainable environment , 1994 .
[27] James A. Burger,et al. A Review of Chemical and Physical Properties as Indicators of Forest Soil Quality: Challenges and Opportunities , 2000 .
[28] Liping Di,et al. Use of Geographically Weighted Regression Model for Exploring Spatial Patterns and Local Factors Behind NDVI-Precipitation Correlation , 2014, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[29] Qingmin Meng,et al. Forest dynamics to precipitation and temperature in the Gulf of Mexico coastal region , 2017, International Journal of Biometeorology.
[30] Martin Kappas,et al. Reducing Uncertainty in Modeling the NDVI-Precipitation Relationship: A Comparative Study Using Global and Local Regression Techniques , 2008 .
[31] B. Rudolf,et al. World Map of the Köppen-Geiger climate classification updated , 2006 .
[32] Howard E. Epstein,et al. EFFECTS OF TEMPERATURE AND SOIL TEXTURE ON ANPP IN THE U.S. GREAT PLAINS , 1997 .
[33] D. Peterson,et al. Spatial and temporal variability in forest growth in the Olympic Mountains, Washington: sensitivity to climatic variability , 2006 .
[34] Nadine Gobron,et al. Optical remote sensing of vegetation: Modeling, caveats, and algorithms , 1995 .
[35] Shin-Ichi Yamamoto,et al. Forest gap dynamics and tree regeneration , 2000, Journal of Forest Research.
[36] Paul Hazlett,et al. Logging impacts on the biogeochemistry of boreal forest soils and nutrient export to aquatic systems: A review , 2008 .
[37] H. Pretzsch. Forest Dynamics, Growth, and Yield , 2010 .
[38] Daehyun Kim,et al. Accounting for and Predicting the Influence of Spatial Autocorrelation in Water Quality Modeling , 2017, ISPRS Int. J. Geo Inf..
[39] S. Fotheringham,et al. Geographically Weighted Regression , 1998 .
[40] K. Soudani,et al. Ground-based Network of NDVI measurements for tracking temporal dynamics of canopy structure and vegetation phenology in different biomes , 2012 .
[41] J. Burke,et al. Associations between watershed characteristics, runoff, and stream water quality: hypothesis development for watershed disturbance experiments and modelling in the Forest Watershed and Riparian Disturbance (FORWARD) project , 2006 .
[42] Paolo Paron,et al. Mixed-effects modelling of time series NDVI-rainfall relationship for detecting human-induced loss of vegetation cover in drylands , 2010 .
[43] R. Forman. Growth under Controlled Conditions to Explain the Hierarchical Distributions of a Moss, Tetraphis pellucida , 1964 .
[44] E. Dufrene,et al. Differing growth responses to climatic variations and soil water deficits of Fagus sylvatica, Quercus petraea and Pinus sylvestris in a temperate forest , 2012 .
[45] Hartmut Bossel,et al. Simulation model of natural tropical forest dynamics , 1991 .
[46] Jawad T. Al-Bakri,et al. NDVI response to rainfall in different ecological zones in Jordan , 2004 .
[47] Jose Raul Romo-Leon,et al. Using MODIS-NDVI for the Modeling of Post-Wildfire Vegetation Response as a Function of Environmental Conditions and Pre-Fire Restoration Treatments , 2012, Remote. Sens..
[48] 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.
[49] S. A. Yelwa,et al. Modelling Relationship between NDVI and Climatic Variables Using Geographically Weighted Regression , 2013 .
[50] Robert G. Knox,et al. Relationships between soil properties and vegetation at the Northern Experimental Forest, Howland, Maine☆ , 1994 .
[51] Shuangcheng Li,et al. Exploring spatially variable relationships between NDVI and climatic factors in a transition zone using geographically weighted regression , 2015, Theoretical and Applied Climatology.
[52] W. J. Wang,et al. NDVI, temperature and precipitation changes and their relationships with different vegetation types during 1998–2007 in Inner Mongolia, China , 2013 .
[53] Timothy B. Parkin,et al. Defining and Assessing Soil Quality , 1994 .
[54] Michael Keller,et al. Effects of Soil Texture on Belowground Carbon and Nutrient Storage in a Lowland Amazonian Forest Ecosystem , 2000, Ecosystems.
[55] D. Tingey,et al. The importance of seasonal temperature and moisture patterns on growth of Douglas-fir in western Oregon, USA , 2013 .
[56] David M J S Bowman,et al. What controls the distribution of tropical forest and savanna? , 2012, Ecology letters.
[57] Adam W. Murrah,et al. The Impact of Hurricane Katrina on the Coastal Vegetation of the Weeks Bay Reserve, Alabama from NDVI Data , 2009 .
[58] J. Rogan,et al. Mapping seasonal trends in vegetation using AVHRR-NDVI time series in the Yucatán Peninsula, Mexico , 2012 .
[59] D. Foster,et al. The influence of land use and climate change on forest biomass and composition in Massachusetts, USA. , 2011, Ecological applications : a publication of the Ecological Society of America.
[60] B. Reineking,et al. Climatic turning point for beech and oak under climate change in Central Europe , 2013 .
[61] E. Chuvieco. Fundamentals of Satellite Remote Sensing , 2009 .
[62] C. Cieszewski,et al. Spatial regression modeling of tree height- diameter relationships , 2009 .
[63] Annabel Porté,et al. Modelling mixed forest growth: a review of models for forest management , 2002 .
[64] S. Bruin,et al. Analysis of monotonic greening and browning trends from global NDVI time-series , 2011 .
[65] Xi Li,et al. Spatial downscaling of TRMM 3B43 precipitation considering spatial heterogeneity , 2014 .
[66] J. Mather,et al. THE ROLE OF CLIMATE IN THE DISTRIBUTION OF VEGETATION , 1968 .
[67] C. Tucker,et al. Vegetation dynamics and rainfall sensitivity of the Amazon , 2014, Proceedings of the National Academy of Sciences.
[68] G. Boer,et al. Simulating Competition and Coexistence between Plant Functional Types in a Dynamic Vegetation Model , 2006 .
[69] Marguerite Madden,et al. A linear mixed-effects model of biomass and volume of trees using Landsat ETM+ images , 2007 .
[70] Pieter A. Zuidema,et al. Climate is a stronger driver of tree and forest growth rates than soil and disturbance , 2011 .
[71] Martha C. Anderson,et al. Use of NDVI and Land Surface Temperature for Drought Assessment: Merits and Limitations , 2010 .
[72] Bruce W. Pengra,et al. Monitoring mangrove forest dynamics of the Sundarbans in Bangladesh and India using multi-temporal satellite data from 1973 to 2000 , 2007 .
[73] Scott Salzman,et al. Assessment of Spatiotemporal Varying Relationships Between Rainfall, Land Cover and Surface Water Area Using Geographically Weighted Regression , 2012, Environmental Modeling & Assessment.
[74] Yakov A. Pachepsky,et al. Soil structure and pedotransfer functions , 2003 .
[75] I. Esau,et al. Trends in normalized difference vegetation index (NDVI) associated withurban development in northern West Siberia , 2016 .
[76] Wolfgang Lucht,et al. Comparative evaluation of seasonal patterns in long time series of satellite image data and simulations of a global vegetation model , 2004, IEEE Transactions on Geoscience and Remote Sensing.
[77] A. Huete,et al. MODIS VEGETATION INDEX ( MOD 13 ) ALGORITHM THEORETICAL BASIS DOCUMENT Version 3 . 1 Principal Investigators , 1999 .
[78] R. Myneni,et al. Climate‐related vegetation characteristics derived from Moderate Resolution Imaging Spectroradiometer (MODIS) leaf area index and normalized difference vegetation index , 2004 .