Forest disturbance and recovery: A general review in the context of spaceborne remote sensing of impacts on aboveground biomass and canopy structure

[1] Abrupt forest disturbances generating gaps >0.001 km 2 impact roughly 0.4–0.7 million km 2 a 1 . Fire, windstorms, logging, and shifting cultivation are dominant disturbances; minor contributors are land conversion, flooding, landslides, and avalanches. All can have substantial impacts on canopy biomass and structure. Quantifying disturbance location, extent, severity, and the fate of disturbed biomass will improve carbon budget estimates and lead to better initialization, parameterization, and/or testing of forest carbon cycle models. Spaceborne remote sensing maps large-scale forest disturbance occurrence, location, and extent, particularly with moderate- and fine-scale resolution passive optical/near-infrared (NIR) instruments. High-resolution remote sensing (e.g., 1 m passive optical/NIR, or small footprint lidar) can map crown geometry and gaps, but has rarely been systematically applied to study small-scale disturbance and natural mortality gap dynamics over large regions. Reducing uncertainty in disturbance and recovery impacts on global forest carbon balance requires quantification of (1) predisturbance forest biomass; (2) disturbance impact on standing biomass and its fate; and (3) rate of biomass accumulation during recovery. Active remote sensing data (e.g., lidar, radar) are more directly indicative of canopy biomass and many structural properties than passive instrument data; a new generation of instruments designed to generate global coverage/sampling of canopy biomass and structure can improve our ability to quantify the carbon balance of Earth’s forests. Generating a high-quality quantitative assessment of disturbance impacts on canopy biomass and structure with spaceborne remote sensing requires comprehensive, well designed, and well coordinated field programs collecting high-quality ground-based data and linkages to dynamical models that can use this information.

[1]  Stephen P Hubbell,et al.  Pervasive canopy dynamics produce short-term stability in a tropical rain forest landscape. , 2009, Ecology letters.

[2]  N. Diffenbaugh,et al.  Does Global Warming Influence Tornado Activity , 2008 .

[3]  D. Burslem,et al.  Modelling Direct Radiation and Canopy Gap Regimes in Tropical Forests , 2008 .

[4]  Gabriel A. Vecchi,et al.  Whither Hurricane Activity? , 2008, Science.

[5]  Scott J. Goetz,et al.  New Satellites Help Quantify Carbon Sources and Sinks , 2008 .

[6]  D. Roy,et al.  The collection 5 MODIS burned area product — Global evaluation by comparison with the MODIS active fire product , 2008 .

[7]  Stephen V. Stehman,et al.  Combining MODIS and Landsat imagery to estimate and map boreal forest cover loss , 2008 .

[8]  B. Soden,et al.  Atmospheric Warming and the Amplification of Precipitation Extremes , 2008, Science.

[9]  Christopher D. Barnet,et al.  Characterization and validation of methane products from the Atmospheric Infrared Sounder (AIRS) , 2008 .

[10]  Jeffrey Q. Chambers,et al.  Hurricane Katrina impacts on forest trees of Louisiana's Pearl River basin , 2008 .

[11]  J. Townshend,et al.  Humid tropical forest clearing from 2000 to 2005 quantified by using multitemporal and multiresolution remotely sensed data , 2008, Proceedings of the National Academy of Sciences.

[12]  M. Goulden,et al.  Has fire suppression increased the amount of carbon stored in western U.S. forests? , 2008 .

[13]  Joanne C. White,et al.  Multi-temporal analysis of high spatial resolution imagery for disturbance monitoring , 2008 .

[14]  L. Remer,et al.  Global characterization of biomass-burning patterns using satellite measurements of fire radiative energy , 2008 .

[15]  W. Cohen,et al.  North American forest disturbance mapped from a decadal Landsat record , 2008 .

[16]  Hudson Silva,et al.  Necromass production: studies in undisturbed and logged Amazon forests. , 2008, Ecological applications : a publication of the Ecological Society of America.

[17]  R. Q. Thomas,et al.  Clustered disturbances lead to bias in large-scale estimates based on forest sample plots. , 2008, Ecology letters.

[18]  Y. Malhi,et al.  Analysis of lacunarity and scales of spatial homogeneity in IKONOS images of Amazonian tropical forest canopies , 2008 .

[19]  D. Morton,et al.  Validation of GOES and MODIS active fire detection products using ASTER and ETM+ data , 2008 .

[20]  O. Phillips,et al.  Infestation of trees by lianas in a tropical forest in Amazonian Peru , 2008 .

[21]  J. Kellner Population and community dynamics of tropical rain forest canopy trees , 2008 .

[22]  J. Magid,et al.  Soil erosion from shifting cultivation and other smallholder land use in Sarawak, Malaysia , 2008 .

[23]  Eben N. Broadbent,et al.  Spatial partitioning of biomass and diversity in a lowland Bolivian forest: Linking field and remote sensing measurements , 2008 .

[24]  Tomoaki Miura,et al.  An assessment of Hawaiian dry forest condition with fine resolution remote sensing , 2008 .

[25]  R. Dubayah,et al.  Integrating waveform lidar with hyperspectral imagery for inventory of a northern temperate forest , 2008 .

[26]  Bas Eickhout,et al.  Quantifying the effectiveness of climate change mitigation through forest plantations and carbon sequestration with an integrated land-use model , 2008, Carbon balance and management.

[27]  C. Oswalt,et al.  Relationships between common forest metrics and realized impacts of Hurricane Katrina on forest resources in Mississippi , 2008 .

[28]  Roberta E. Martin,et al.  Invasive plants transform the three-dimensional structure of rain forests , 2008, Proceedings of the National Academy of Sciences.

[29]  S. Popescu,et al.  A voxel-based lidar method for estimating crown base height for deciduous and pine trees , 2008 .

[30]  Scott L. Powell,et al.  Forest Disturbance and North American Carbon Flux , 2008 .

[31]  Y. Hu,et al.  Mapping the height and above‐ground biomass of a mixed forest using lidar and stereo Ikonos images , 2008 .

[32]  Tilden Meyers,et al.  The 2007 Eastern US Spring Freeze: Increased Cold Damage in a Warming World , 2008 .

[33]  M. Keller,et al.  Amazon Forest Structure from IKONOS Satellite Data and the Automated Characterization of Forest Canopy Properties , 2008 .

[34]  Kerry A. Emanuel,et al.  Hurricanes and Global Warming: Results from Downscaling IPCC AR4 Simulations , 2008 .

[35]  J. Morisette,et al.  Quantifying the impact of cloud obscuration on remote sensing of active fires in the Brazilian Amazon , 2008 .

[36]  M. Saunders,et al.  Large contribution of sea surface warming to recent increase in Atlantic hurricane activity , 2008, Nature.

[37]  A. Grainger Difficulties in tracking the long-term global trend in tropical forest area , 2008, Proceedings of the National Academy of Sciences.

[38]  D. Donoghue,et al.  An assessment of airborne lidar for forest growth studies , 2007 .

[39]  George C. Hurtt,et al.  Hurricane Katrina's Carbon Footprint on U.S. Gulf Coast Forests , 2007, Science.

[40]  Peter B. Reich,et al.  Wind‐throw mortality in the southern boreal forest: effects of species, diameter and stand age , 2007 .

[41]  R. Betts,et al.  Changes in Atmospheric Constituents and in Radiative Forcing. Chapter 2 , 2007 .

[42]  H. Lee Allen,et al.  The Development of Pine Plantation Silviculture in the Southern United States , 2007 .

[43]  J. Chambers,et al.  Regional ecosystem structure and function: ecological insights from remote sensing of tropical forests. , 2007, Trends in ecology & evolution.

[44]  Jay D. Miller,et al.  Quantifying burn severity in a heterogeneous landscape with a relative version of the delta Normalized Burn Ratio (dNBR) , 2007 .

[45]  P. Hari,et al.  The human footprint in the carbon cycle of temperate and boreal forests , 2007, Nature.

[46]  G. Asner,et al.  Spatial and temporal probabilities of obtaining cloud‐free Landsat images over the Brazilian tropical savanna , 2007 .

[47]  Warren B. Cohen,et al.  Patterns of forest regrowth following clearcutting in western Oregon as determined from a Landsat time-series , 2007 .

[48]  Sassan Saatchi,et al.  Estimation of Forest Fuel Load From Radar Remote Sensing , 2007, IEEE Transactions on Geoscience and Remote Sensing.

[49]  Eric S. Kasischke,et al.  Assessing spatial and temporal variations in surface soil moisture in fire-disturbed black spruce forests in Interior Alaska using spaceborne synthetic aperture radar imagery — Implications for post-fire tree recruitment , 2007 .

[50]  Eric S. Kasischke,et al.  Remote monitoring of spatial and temporal surface soil moisture in fire disturbed boreal forest ecosystems with ERS SAR imagery , 2007 .

[51]  M. Ichikawa Degradation and loss of forest land and land-use changes in Sarawak, East Malaysia: a study of native land use by the Iban , 2007, Ecological Research.

[52]  J. V. Soares,et al.  Distribution of aboveground live biomass in the Amazon basin , 2007 .

[53]  E. Chuvieco,et al.  Remote sensing information for fire management and fire effects assessment , 2007 .

[54]  E. Fernandes,et al.  Influence of slash-and-burn farming practices on fallow succession and land degradation in the rainforest region of Madagascar , 2007 .

[55]  S. Quegan,et al.  Satellite-based radar mapping of British forest age and Net Ecosystem Exchange using ERS tandem coherence , 2007 .

[56]  Gregory P. Asner,et al.  Necromass in undisturbed and logged forests in the Brazilian Amazon , 2007 .

[57]  K. Caldeira,et al.  Combined climate and carbon-cycle effects of large-scale deforestation , 2006, Proceedings of the National Academy of Sciences.

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

[59]  G. Longo,et al.  The Tunguska Event , 2007 .

[60]  K. Trenberth,et al.  Observations: Surface and Atmospheric Climate Change , 2007 .

[61]  W. Collins,et al.  Global climate projections , 2007 .

[62]  S. Frolking,et al.  The Tension between Fire Risk and Carbon Storage: Evaluating U.S. Carbon and Fire Management Strategies through Ecosystem Models , 2007 .

[63]  R. Lal,et al.  Carbon Sequestration , 2010 .

[64]  J. Edmonds,et al.  Scenarios of Greenhouse Gas Emissions and Atmospheric Concentrations , 2007 .

[65]  Thomas Hickler,et al.  Effects of human land-use on the global carbon cycle during the last 6,000 years , 2008 .

[66]  A. Shvidenko,et al.  The role of historical fire disturbance in the carbon dynamics of the pan-boreal region: A process-based analysis , 2006 .

[67]  G. Hurtt,et al.  The contributions of land‐use change, CO2 fertilization, and climate variability to the Eastern US carbon sink , 2006 .

[68]  J. Hyyppä,et al.  Change Detection Techniques for Canopy Height Growth Measurements Using Airborne Laser Scanner Data , 2006 .

[69]  T. Swetnam,et al.  Warming and Earlier Spring Increase Western U.S. Forest Wildfire Activity , 2006, Science.

[70]  Deborah Lawrence,et al.  Woody debris stocks and fluxes during succession in a dry tropical forest , 2006 .

[71]  S. Malyshev,et al.  The underpinnings of land‐use history: three centuries of global gridded land‐use transitions, wood‐harvest activity, and resulting secondary lands , 2006 .

[72]  C. Justice,et al.  Global distribution and seasonality of active fires as observed with the Terra and Aqua Moderate Resolution Imaging Spectroradiometer (MODIS) sensors , 2006 .

[73]  E. Kasischke,et al.  Recent changes in the fire regime across the North American boreal region—Spatial and temporal patterns of burning across Canada and Alaska , 2006 .

[74]  Hanqin Tian,et al.  Spatial and temporal patterns of carbon emissions from forest fires in China from 1950 to 2000 , 2006 .

[75]  Jeffrey G. Masek,et al.  Estimating forest carbon fluxes in a disturbed southeastern landscape: Integration of remote sensing, forest inventory, and biogeochemical modeling , 2006 .

[76]  Alex C. Lee,et al.  Empirical relationships between AIRSAR backscatter and LiDAR-derived forest biomass, Queensland, Australia , 2006 .

[77]  Mahta Moghaddam,et al.  Integration of radar and Landsat-derived foliage projected cover for woody regrowth mapping, Queensland, Australia , 2006 .

[78]  G. Inoue,et al.  Greenhouse Gases Monitoring from the GOSAT Satellite , 2006 .

[79]  Sheng-Li Huang,et al.  Backscatter change on fire scars in Siberian boreal forests in ENVISAT ASAR wide-swath images , 2006, IEEE Geoscience and Remote Sensing Letters.

[80]  David P. Roy,et al.  Remote sensing of fire severity: assessing the performance of the normalized burn ratio , 2006, IEEE Geoscience and Remote Sensing Letters.

[81]  Dean B. Gesch,et al.  CLICK: The new USGS Center for Lidar Information Coordination and Knowledge , 2006 .

[82]  R. Schnur,et al.  Climate-carbon cycle feedback analysis: Results from the C , 2006 .

[83]  F. S. Chapin,et al.  Fire Interval Effects on Successional Trajectory in Boreal Forests of Northwest Canada , 2006, Ecosystems.

[84]  Y. Kaufman,et al.  Retrieval of biomass combustion rates and totals from fire radiative power observations: FRP derivation and calibration relationships between biomass consumption and fire radiative energy release , 2005 .

[85]  R. Ceulemans,et al.  Forest response to elevated CO2 is conserved across a broad range of productivity. , 2005, Proceedings of the National Academy of Sciences of the United States of America.

[86]  S. Plummer,et al.  Fire Disturbance: The Ten Years Time Series of the ATSR World Fire Atlas , 2005 .

[87]  G. Roberts,et al.  Retrieval of biomass combustion rates and totals from fire radiative power observations: Application to southern Africa using geostationary SEVIRI imagery , 2005 .

[88]  W. Cohen,et al.  Estimates of forest canopy height and aboveground biomass using ICESat , 2005 .

[89]  M. Keller,et al.  Selective Logging in the Brazilian Amazon , 2005, Science.

[90]  D. Roberts,et al.  Combining spectral and spatial information to map canopy damage from selective logging and forest fires , 2005 .

[91]  P. Ciais,et al.  Europe-wide reduction in primary productivity caused by the heat and drought in 2003 , 2005, Nature.

[92]  M. Flannigan,et al.  Future Area Burned in Canada , 2005 .

[93]  J. Ogden,et al.  Microsite heterogeneity in litterfall risk to seedlings , 2005 .

[94]  S. Carpenter,et al.  Global Consequences of Land Use , 2005, Science.

[95]  Andrew M. Greller,et al.  Forest Canopies, 2nd ed. , 2005 .

[96]  Ian Olthof,et al.  Modelling and Mapping Damage to Forests from an Ice Storm Using Remote Sensing and Environmental Data , 2005 .

[97]  D. Verbyla,et al.  Evaluation of remotely sensed indices for assessing burn severity in interior Alaska using Landsat TM and ETM , 2005 .

[98]  D. Tralli,et al.  Satellite remote sensing of earthquake, volcano, flood, landslide and coastal inundation hazards , 2005 .

[99]  R. Houghton,et al.  Aboveground Forest Biomass and the Global Carbon Balance , 2005 .

[100]  Sandra A. Brown,et al.  CREATING A VIRTUAL TROPICAL FOREST FROM THREE-DIMENSIONAL AERIAL IMAGERY TO ESTIMATE CARBON STOCKS , 2005 .

[101]  J. F. Meirink,et al.  Assessing Methane Emissions from Global Space-Borne Observations , 2005, Science.

[102]  J. Nichol,et al.  Satellite remote sensing for detailed landslide inventories using change detection and image fusion , 2005 .

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

[104]  P. Vitousek,et al.  Remote analysis of biological invasion and biogeochemical change. , 2005, Proceedings of the National Academy of Sciences of the United States of America.

[105]  P. Novelli,et al.  Influences of boreal fire emissions on Northern Hemisphere atmospheric carbon and carbon monoxide , 2005 .

[106]  C. M. Lee,et al.  Urban vegetation monitoring in Hong Kong using high resolution multispectral images , 2005 .

[107]  United Kingdom,et al.  GLOBAL FOREST RESOURCES ASSESSMENT 2005 , 2005 .

[108]  Gerhard Krieger,et al.  Spaceborne Polarimetric SAR Interferometry: Performance Analysis and Mission Concepts , 2005, EURASIP J. Adv. Signal Process..

[109]  F. Stuart Chapin,et al.  Effects of Soil Burn Severity on Post-Fire Tree Recruitment in Boreal Forest , 2006, Ecosystems.

[110]  Elisabetta Binaghi,et al.  A Global Inventory of Burned Areas at 1 Km Resolution for the Year 2000 Derived from Spot Vegetation Data , 2004 .

[111]  Effects of Snow Avalanche Disturbance on Regeneration of Subalpine Abies mariesii Forest, Northern Japan , 2004 .

[112]  Takafumi Tanaka,et al.  Measurement of forest canopy structure by a laser plane range-finding method: Improvement of radiative resolution and examples of its application , 2004 .

[113]  Susan E. Trumbore,et al.  Response of tree biomass and wood litter to disturbance in a Central Amazon forest , 2004, Oecologia.

[114]  B. E. L Aw,et al.  Disturbance and climate effects on carbon stocks and fluxes across Western Oregon USA , 2004 .

[115]  A. Weaver,et al.  Detecting the effect of climate change on Canadian forest fires , 2004 .

[116]  Jesús San-Miguel-Ayanz,et al.  Evaluation of RADARSAT-1 Data for Identification of Burnt Areas in Southern Europe. , 2004 .

[117]  G. Vourlitis,et al.  Ecological research in the large-scale biosphere-atmosphere experiment in Amazonia: early results , 2004 .

[118]  M. Keller,et al.  CANOPY DAMAGE AND RECOVERY AFTER SELECTIVE LOGGING IN AMAZONIA: FIELD AND SATELLITE STUDIES , 2004 .

[119]  Michael W. Palace,et al.  CARBON BALANCE AND VEGETATION DYNAMICS IN AN OLD-GROWTH AMAZONIAN FOREST , 2004 .

[120]  S. Plummer,et al.  Burnt area detection at global scale using ATSR‐2: The GLOBSCAR products and their qualification , 2004 .

[121]  Stephen J. Walsh,et al.  An Assessment of Snow Avalanche Paths and Forest Dynamics Using Ikonos Satellite Data , 2004 .

[122]  J. Bryan Blair,et al.  Beyond potential vegetation: Combining lidar data and a height-structured model for carbon studies , 2004 .

[123]  B. Law,et al.  Forest Attributes from Radar Interferometric Structure and Its Fusion with Optical Remote Sensing , 2004 .

[124]  D. Roberts,et al.  Small-footprint lidar estimation of sub-canopy elevation and tree height in a tropical rain forest landscape , 2004 .

[125]  M. Keller,et al.  Coarse woody debris in undisturbed and logged forests in the eastern Brazilian Amazon , 2004 .

[126]  M. Keller,et al.  Spatial and temporal dynamics of forest canopy gaps following selective logging in the eastern Amazon , 2004 .

[127]  C. Woodcock,et al.  Forest biomass estimation over regional scales using multisource data , 2004 .

[128]  J. Hyyppä,et al.  Automatic detection of harvested trees and determination of forest growth using airborne laser scanning , 2004 .

[129]  J. Grace Understanding and managing the global carbon cycle , 2004 .

[130]  Richard Condit,et al.  Error propagation and scaling for tropical forest biomass estimates. , 2004, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.

[131]  Ian Olthof,et al.  Mapping deciduous forest ice storm damage using Landsat and environmental data , 2004 .

[132]  Geoffrey G. Parker,et al.  The canopy surface and stand development: assessing forest canopy structure and complexity with near-surface altimetry , 2004 .

[133]  Yves Bergeron,et al.  Characterization of canopy openness before and after a spruce budworm outbreak in the southern boreal forest , 2004 .

[134]  David B. Clark,et al.  APPLICATION OF 1-M AND 4-M RESOLUTION SATELLITE DATA TO ECOLOGICAL STUDIES OF TROPICAL RAIN FORESTS , 2004 .

[135]  D. Clark,et al.  Quantifying mortality of tropical rain forest trees using high-spatial-resolution satellite data , 2004 .

[136]  E. Leigh,et al.  Tropical forest diversity and dynamism : findings from a large-scale plot network , 2004 .

[137]  D. Tilman,et al.  Dynamic and static views of succession: Testing the descriptive power of the chronosequence approach , 2004, Plant Ecology.

[138]  S. VAN TUY,et al.  Disturbance and climate effects on carbon stocks and fluxes across Western Oregon USA , 2004 .

[139]  Beat Koch,et al.  Development of Filtering , Segmentation and Modelling Modules for Lidar and Multispectral Data as a Fundament of an Automatic Forest Inventory System , 2004 .

[140]  Gregory P. Asner,et al.  IKONOS imagery for the Large Scale Biosphere–Atmosphere Experiment in Amazonia (LBA) , 2003 .

[141]  G. Asner,et al.  Canopy shadow in IKONOS satellite observations of tropical forests and savannas , 2003 .

[142]  William Salas,et al.  A multivariable approach for mapping sub-pixel land cover distributions using MISR and MODIS: Application in the Brazilian Amazon region , 2003 .

[143]  D. A. Hill,et al.  Combined high-density lidar and multispectral imagery for individual tree crown analysis , 2003 .

[144]  S. Popescu,et al.  Measuring individual tree crown diameter with lidar and assessing its influence on estimating forest volume and biomass , 2003 .

[145]  M. Wooster,et al.  Fire radiative energy for quantitative study of biomass burning: derivation from the BIRD experimental satellite and comparison to MODIS fire products. , 2003 .

[146]  G. Foody,et al.  Predictive relations of tropical forest biomass from Landsat TM data and their transferability between regions , 2003 .

[147]  R. Raddatz Agriculture and Tornadoes on the Canadian Prairies: potential impact of increasing atmospheric CO2 on Summer Severe Weather , 2003 .

[148]  David B. Clark,et al.  Application of merged 1-m and 4-m resolution satellite data to research and management in tropical forests , 2003 .

[149]  D. Leckie Stand delineation and composition estimation using semi-automated individual tree crown analysis , 2003 .

[150]  Christian Körner,et al.  Slow in, Rapid out--Carbon Flux Studies and Kyoto Targets , 2003, Science.

[151]  G. Hurtt,et al.  Projecting future fire activity in Amazonia , 2003 .

[152]  S. Hubbell,et al.  Spatial and temporal variation of biomass in a tropical forest: results from a large census plot in Panama , 2003 .

[153]  Jane M. Read Spatial Analyses of Logging Impacts in Amazonia Using Remotely Sensed Data , 2003 .

[154]  A. Gafur,et al.  Sustainability Appraisal of Shifting Cultivation in the Chittagong Hill Tracts of Bangladesh , 2003, Ambio.

[155]  M. Cochrane Fire science for rainforests , 2003, Nature.

[156]  Jinfei Wang,et al.  A rule-based urban land use inferring method for fine-resolution multispectral imagery , 2003 .

[157]  Kenneth J. Ranson,et al.  Disturbance recognition in the boreal forest using radar and Landsat-7 , 2003 .

[158]  F. Lloret,et al.  Influence of fire severity on plant regeneration by means of remote sensing imagery , 2003 .

[159]  Gregory P. Asner,et al.  Sustainability of Selective Logging of Upland Forests in the Brazilian Amazon: Carbon Budgets and Remote Sensing as Tools for Evaluation of Logging Effects , 2003 .

[160]  M. Keller,et al.  Estimating Canopy Structure in an Amazon Forest from Laser Range Finder and IKONOS Satellite Observations1 , 2002 .

[161]  G. Hurtt,et al.  Field work and statistical analyses for enhanced interpretation of satellite fire data , 2005 .

[162]  Nadine Gobron,et al.  Joint retrieval of vegetation structure and photosynthetic activity from MISR , 2001, IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No.01CH37217).

[163]  W. Salas,et al.  Determination of subpixel fractions of nonforested area in the Amazon using multiresolution satellite sensor data , 2002 .

[164]  Douglas J. King,et al.  Automated tree crown detection and delineation in high-resolution digital camera imagery of coniferous forest regeneration , 2002 .

[165]  B. Seely,et al.  Carbon sequestration in a boreal forest ecosystem: results from the ecosystem simulation model, FORECAST , 2002 .

[166]  F. Achard,et al.  Determination of Deforestation Rates of the World's Humid Tropical Forests , 2002, Science.

[167]  R. Dubayah,et al.  Sensitivity of large-footprint lidar to canopy structure and biomass in a neotropical rainforest , 2002 .

[168]  M. Keller,et al.  Remote sensing of selective logging in Amazonia: Assessing limitations based on detailed field observations, Landsat ETM+, and textural analysis , 2002 .

[169]  O. Phillips,et al.  An international network to monitor the structure, composition and dynamics of Amazonian forests (RAINFOR) , 2002 .

[170]  R. DeFries,et al.  Human modification of the landscape and surface climate in the next fifty years , 2002 .

[171]  Xiangming Xiao,et al.  Evaluating TERRA‐1 MODIS data for discrimination of tropical secondary forest regeneration stages in the Brazilian Legal Amazon , 2002 .

[172]  S. McNulty Hurricane impacts on US forest carbon sequestration. , 2002, Environmental pollution.

[173]  S. Ollinger,et al.  Regional variation in foliar chemistry and n cycling among forests of diverse history and composition , 2002 .

[174]  R. Dubayah,et al.  Estimation of tropical forest structural characteristics using large-footprint lidar , 2002 .

[175]  K. Hirsch,et al.  Large forest fires in Canada, 1959–1997 , 2002 .

[176]  E. Kasischke,et al.  Emissions of carbon dioxide, carbon monoxide, and methane from boreal forest fires in 1998 , 2002 .

[177]  Eric Rignot,et al.  Assessment of JERS-1 SAR for monitoring secondary vegetation in Amazonia: I. Spatial and temporal variability in backscatter across a chrono-sequence of secondary vegetation stands in Rondonia , 2002 .

[178]  Giles M. Foody,et al.  Forest regeneration on abandoned clearances in central Amazonia , 2002 .

[179]  João Roberto dos Santos,et al.  Savanna and tropical rainforest biomass estimation and spatialization using JERS-1 data , 2002 .

[180]  S. Pacala,et al.  Projecting the future of the U.S. carbon sink , 2001, Proceedings of the National Academy of Sciences of the United States of America.

[181]  Peng Gong,et al.  3D Model-Based Tree Measurement from High-Resolution Aerial Imagery , 2002 .

[182]  W. Cohen,et al.  Lidar remote sensing of above‐ground biomass in three biomes , 2002 .

[183]  S. Sterling,et al.  Human Appropriation of Photosynthesis Products , 2001, Science.

[184]  M. Keller,et al.  Biomass estimation in the Tapajos National Forest, Brazil: Examination of sampling and allometric uncertainties , 2001 .

[185]  Jeffrey Q. Chambers,et al.  Tree damage, allometric relationships, and above-ground net primary production in central Amazon forest , 2001 .

[186]  Curtis E. Woodcock,et al.  Monitoring large areas for forest change using Landsat: Generalization across space, time and Landsat sensors , 2001 .

[187]  A. Lugo,et al.  Climate Change and Forest Disturbances , 2001 .

[188]  W. Sanderson,et al.  The end of world population growth , 2001, Nature.

[189]  Mnv,et al.  The IMAGE 2.2 implementation of the SRES scenarios; A comprehensive analysis of emissions, climate change and impacts in the 21st century , 2001 .

[190]  Q. Ketterings,et al.  Reducing uncertainty in the use of allometric biomass equations for predicting above-ground tree biomass in mixed secondary forests , 2001 .

[191]  Nadine Gobron,et al.  Characterization of surface heterogeneity detected at the MISR/TERRA subpixel scale , 2001 .

[192]  Brian G. Wolff,et al.  Forecasting Agriculturally Driven Global Environmental Change , 2001, Science.

[193]  Jeffrey Q. Chambers,et al.  TROPICAL FORESTS : AN EVALUATION AND SYNTHESIS OF EXISTING FIELD DATA , 2022 .

[194]  Jeffrey Q. Chambers,et al.  MEASURING NET PRIMARY PRODUCTION IN FORESTS: CONCEPTS AND FIELD METHODS , 2001 .

[195]  David B. Lobell,et al.  Subpixel canopy cover estimation of coniferous forests in Oregon using SWIR imaging spectrometry , 2001 .

[196]  P. M. Lang,et al.  Measurements of an anomalous global methane increase during 1998 , 2001 .

[197]  G. Asner,et al.  Cloud cover in Landsat observations of the Brazilian Amazon , 2001 .

[198]  Chris Varekamp,et al.  Segmentation of high-resolution InSAR data of a tropical forest using Fourier parameterized deformable models , 2001 .

[199]  C. Elvidge,et al.  DMSP-OLS estimation of tropical forest area impacted by surface fires in Roraima, Brazil: 1995 versus 1998 , 2001 .

[200]  Jérôme Chave,et al.  Estimation of biomass in a neotropical forest of French Guiana: spatial and temporal variability , 2001, Journal of Tropical Ecology.

[201]  A. Scariot Seedling Mortality by Litterfall in Amazonian Forest Fragments1 , 2000 .

[202]  David B. Clark,et al.  Landscape-scale variation in forest structure and biomass in a tropical rain forest , 2000 .

[203]  Alexei G. Sankovski,et al.  Special report on emissions scenarios : a special report of Working group III of the Intergovernmental Panel on Climate Change , 2000 .

[204]  K. O. Niemann,et al.  Local Maximum Filtering for the Extraction of Tree Locations and Basal Area from High Spatial Resolution Imagery , 2000 .

[205]  S. Patiño,et al.  Branch sacrifice: cavitation-associated drought adaptation of riparian cottonwoods , 2000, Trees.

[206]  Mahta Moghaddam,et al.  Estimation of crown and stem water content and biomass of boreal forest using polarimetric SAR imagery , 2000, IEEE Trans. Geosci. Remote. Sens..

[207]  N. Higuchi,et al.  Decomposition and carbon cycling of dead trees in tropical forests of the central Amazon , 2000, Oecologia.

[208]  Daniel N. M. Donoghue,et al.  Remote sensing of upland conifer plantations using Landsat TM data: A case study from Galloway, south-west Scotland , 2000 .

[209]  F. Siegert,et al.  Use of multitemporal ERS-2 SAR images for identification of burned scars in south-east Asian tropical rainforest , 2000 .

[210]  M. Steininger Satellite estimation of tropical secondary forest above-ground biomass: Data from Brazil and Bolivia , 2000 .

[211]  P. Sist Reduced-impact logging in the tropics. Objectives, principles and impacts , 2000 .

[212]  H. Shugart,et al.  Determination of stand properties in boreal and temperate forests using high-resolution imagery , 2000 .

[213]  D. Tilman,et al.  Global environmental impacts of agricultural expansion: the need for sustainable and efficient practices. , 1999, Proceedings of the National Academy of Sciences of the United States of America.

[214]  Niro Higuchi,et al.  Comparison of formulae for biomass content determination in a tropical rain forest site in the state of Pará, Brazil , 1999 .

[215]  M. G. Morgan,et al.  Why Conventional Tools for Policy Analysis Are Often Inadequate for Problems of Global Change , 1999 .

[216]  Stephen D. Prince,et al.  Biophysical stratification of the Amazon basin , 1999 .

[217]  C. Wessman,et al.  Textural Analysis of Historical Aerial Photography to Characterize Woody Plant Encroachment in South African Savanna , 1998 .

[218]  J. Franklin,et al.  Landscape Patterns and Legacies Resulting from Large, Infrequent Forest Disturbances , 1998, Ecosystems.

[219]  Tomas Brandtberg,et al.  Automated delineation of individual tree crowns in high spatial resolution aerial images by multiple-scale analysis , 1998, Machine Vision and Applications.

[220]  Mary E. Martin,et al.  Determining Forest Species Composition Using High Spectral Resolution Remote Sensing Data , 1998 .

[221]  N. Higuchi,et al.  Combustion completeness in a rainforest clearing experiment in Manaus, Brazil , 1998 .

[222]  Bernhard Schlamadinger,et al.  Forest Harvests and Wood Products: Sources and Sinks of Atmospheric Carbon Dioxide , 1998, Forest Science.

[223]  H. Shugart Terrestrial Ecosystems in Changing Environments , 1998 .

[224]  Rongxing Li,et al.  Potential of high-resolution satellite imagery for national mapping products , 1998 .

[225]  J. Palmer,et al.  FOREST RESOURCES ASSESSMENT 1990: SURVEY OF TROPICAL FOREST COVER AND STUDY OF CHANGE PROCESSES , 1998 .

[226]  K. Ranson,et al.  Radar modelling of forest spatial patterns , 1998 .

[227]  Frederick N. Scatena,et al.  BACKGROUND AND CATASTROPHIC TREE MORTALITY IN TROPICAL MOIST, WET, AND RAIN FORESTS , 1996 .

[228]  Eric S. Kasischke,et al.  Sensitivity of ERS-1 SAR to variations in soil water in fire-disturbed boreal forest ecosystems , 1996 .

[229]  F. Bongers,et al.  Patterns of tree-fall and branch-fall in a tropical rain forest in French Guiana , 1996 .

[230]  C. H. Gimingham,et al.  The Ecology of Fire. , 1996 .

[231]  K. Jon Ranson,et al.  Imaging radar for ecosystem studies , 1995 .

[232]  M. Harmon,et al.  Decomposition and mass of woody detritus in the dry tropical forests of the Northeastern Yucatan Peninsula, Mexico , 1995 .

[233]  F. Gougeon A Crown-Following Approach to the Automatic Delineation of Individual Tree Crowns in High Spatial Resolution Aerial Images , 1995 .

[234]  I. Brown,et al.  Uncertainty in the biomass of Amazonian forests: An example from Rondônia, Brazil , 1995 .

[235]  Tiit Nilson,et al.  Age dependence of forest reflectance: Analysis of main driving factors , 1994 .

[236]  B. Nelson,et al.  Forest disturbance by large blowdowns in the Brazilian Amazon , 1994 .

[237]  P. Fearnside,et al.  Rainforest burning and the global carbon budget: Biomass, combustion efficiency, and charcoal formation in the Brazilian Amazon , 1993 .

[238]  C. Tucker,et al.  Tropical Deforestation and Habitat Fragmentation in the Amazon: Satellite Data from 1978 to 1988 , 1993, Science.

[239]  S. Hubbell,et al.  Crown Asymmetry, Treefalls, and Repeat Disturbance of Broad‐Leaved Forest Gaps , 1991 .

[240]  D. Clark,et al.  The Impact of Physical Damage on Canopy Tree Regeneration in Tropical Rain Forest , 1991 .

[241]  Craig G. Lorimer,et al.  Natural Disturbance Regimes in Hemlock-Hardwood Forests of the Upper Great Lakes Region , 1991 .

[242]  J. F. Richards,et al.  Historical analysis of changes in land use and carbon stock of vegetation in south and southeast Asia , 1991 .

[243]  Kamaljit S. Bawa,et al.  Reproductive ecology of tropical forest plants , 1990 .

[244]  E. Álvarez-Buylla,et al.  Tree Demography and Gap Dynamics in a Tropical Rain Forest , 1989 .

[245]  Craig G. Lorimer,et al.  A methodology for estimating canopy disturbance frequency and intensity in dense temperate forests , 1989 .

[246]  C. Wessman,et al.  Remote sensing of canopy chemistry and nitrogen cycling in temperate forest ecosystems , 1988, Nature.

[247]  E. Álvarez-Buylla,et al.  Treefall age determination and gap dynamics in a tropical forest , 1988 .

[248]  C. Padoch,et al.  Swidden-Fallow Agroforestry in the Peruvian Amazon , 1987 .

[249]  T. Aide Limbfalls: a major cause of sapling mortality for tropical forest plants , 1987 .

[250]  N. Brokaw Gap-Phase Regeneration of Three Pioneer Tree Species in a Tropical Forest , 1987 .

[251]  E. Johnson The Relative Importance or Snow Avalanche Disturbance and Thinning on Canopy Plant Populations , 1987 .

[252]  J. Denslow TROPICAL RAINFOREST GAPS AND TREE SPECIES DIVERSITY , 1987 .

[253]  P. Vitousek,et al.  NITROGEN AND PHOSPHORUS AVAILABILITY IN TREEFALL GAPS OF A LOWLAND TROPICAL RAINFOREST , 1986 .

[254]  M. Harmon,et al.  Ecology of Coarse Woody Debris in Temperate Ecosystems , 1986 .

[255]  Robert L. Sanford,et al.  Nutrient Cycling in Moist Tropical Forest , 1986 .

[256]  J. S. Olson,et al.  Major world ecosystem complexes ranked by carbon in live vegetation: a database , 1985 .

[257]  T. Fujita The Downburst: Microburst and Macroburst , 1985 .

[258]  Geoffrey G. Parker,et al.  Mechanical abrasion and intercrown spacing , 1984 .

[259]  D. H. Knight,et al.  Tree Growth, Mortality, Recruitment, and Canopy Gap Formation during a 10-year Period in a Tropical Moist Forest , 1983 .

[260]  J. Yarie Environmental and successional relationships of the forest communities of the Porcupine River drainage, interior Alaska , 1983 .

[261]  Eugene M. Shoemaker,et al.  ASTEROID AND COMET BOMBARDMENT OF THE EARTH , 1983 .

[262]  N. Brokaw,et al.  Treefalls and the Distribution of Understory Birds in a Tropical Forest , 1981 .

[263]  Thomas W. Doyle,et al.  The Role of Disturbance in the Gap Dynamics of a Montane Rain Forest: An Application of a Tropical Forest Succession Model , 1981 .

[264]  J. Denslow Gap Partitioning among Tropical Rainforest Trees , 1980 .

[265]  N. Brokaw,et al.  Earthquake-Caused Landslides: A Major Disturbance to Tropical Forests , 1979, Science.

[266]  D. Perry Factors Influencing Arboreal Epiphytic Phytosociology in Central America , 1978 .

[267]  S. N. Linzon,et al.  Sulphur dioxide injury to vegetation in the vicinity of a sulphite pulp and paper mill , 1973 .