Bark beetle impacts on forest evapotranspiration and its partitioning.
暂无分享,去创建一个
P. Blanken | J. Hicke | N. Molotch | R. Scott | B. Livneh | S. Burns | B. Ewers | J. Biederman | J. Knowles | M. Berkelhammer | J. Frank | D. Reed | A. Badger | L. Lestak | Mario Bretfeld | Nels R. Bjarke | N. Bjarke
[1] Justin T. Maxwell,et al. Younger trees in the upper canopy are more sensitive but also more resilient to drought , 2022, Nature Climate Change.
[2] Paula J. Fornwalt,et al. Rocky Mountain forests are poised to recover following bark beetle outbreaks but with altered composition , 2022, Journal of Ecology.
[3] A. Harpold,et al. Spruce Beetle Outbreak Increases Streamflow From Snow‐Dominated Basins in Southwest Colorado, USA , 2022, Water Resources Research.
[4] A. P. Williams,et al. Exceptional heat and atmospheric dryness amplified losses of primary production during the 2020 U.S. Southwest hot drought , 2022, Global change biology.
[5] D. Tarboton,et al. Variable Streamflow Response to Forest Disturbance in the Western US: A Large‐Sample Hydrology Approach , 2021, Water Resources Research.
[6] N. Molotch,et al. Future land cover and climate may drive decreases in snow wind‐scour and transpiration, increasing streamflow at a Colorado, USA headwater catchment , 2021, Hydrological Processes.
[7] P. Blanken,et al. The effect of static pressure-wind covariance on vertical carbon dioxide exchange at a windy subalpine forest site , 2021 .
[8] B. Ewers,et al. Bayesian Predictions of Bark Beetle Attack and Mortality of Three Conifer Species During Epidemic and Endemic Population Stages , 2021, Frontiers in Forests and Global Change.
[9] M. Litvak,et al. Seasonal Precipitation and Soil Moisture Relationships Across Forests and Woodlands in the Southwestern United States , 2021, Journal of Geophysical Research: Biogeosciences.
[10] J. Abatzoglou,et al. How does water yield respond to mountain pine beetle infestation in a semiarid forest? , 2021, Hydrology and Earth System Sciences.
[11] T. A. Black,et al. Representativeness of Eddy-Covariance flux footprints for areas surrounding AmeriFlux sites , 2021, Agricultural and Forest Meteorology.
[12] P. Gentine,et al. Water Availability Impacts on Evapotranspiration Partitioning , 2020 .
[13] J. Hicke,et al. Characterizing recent bark beetle-caused tree mortality in the western United States from aerial surveys , 2020 .
[14] L. Walker,et al. The Ecology of Disturbance Interactions , 2020 .
[15] P. Blanken,et al. Montane forest productivity across a semiarid climatic gradient , 2020, Global change biology.
[16] D. Tarboton,et al. Forests and Water Yield: A Synthesis of Disturbance Effects on Streamflow and Snowpack in Western Coniferous Forests , 2020, Journal of Forestry.
[17] T. Bolch,et al. Importance and vulnerability of the world’s water towers , 2019, Nature.
[18] D. Mackay,et al. Plant Hydraulic Stress Explained Tree Mortality and Tree Size Explained Beetle Attack in a Mixed Conifer Forest , 2019, Journal of Geophysical Research: Biogeosciences.
[19] E. Vivoni,et al. MOD-LSP, MODIS-based parameters for hydrologic modeling of North American land cover change , 2019, Scientific Data.
[20] W. Massman,et al. Bayesian Analyses of 17 Winters of Water Vapor Fluxes Show Bark Beetles Reduce Sublimation , 2019, Water Resources Research.
[21] J. Pelletier,et al. Why Do Large‐Scale Land Surface Models Produce a Low Ratio of Transpiration to Evapotranspiration? , 2018, Journal of Geophysical Research: Atmospheres.
[22] M. Migliavacca,et al. Basic and extensible post-processing of eddy covariance flux data with REddyProc , 2018, Biogeosciences.
[23] K. Hyde,et al. Geophysical Measurements to Determine the Hydrologic Partitioning of Snowmelt on a Snow‐Dominated Subalpine Hillslope , 2018, Water Resources Research.
[24] M. Litvak,et al. Snowmelt‐Driven Trade‐Offs Between Early and Late Season Productivity Negatively Impact Forest Carbon Uptake During Drought , 2018 .
[25] Brian J. Harvey,et al. Moisture availability limits subalpine tree establishment. , 2018, Ecology.
[26] G. Liston,et al. Snow Sublimation in Mountain Environments and Its Sensitivity to Forest Disturbance and Climate Warming , 2018 .
[27] R. Woods,et al. A Global Assessment of Runoff Sensitivity to Changes in Precipitation, Potential Evaporation, and Other Factors , 2017 .
[28] Luis Samaniego,et al. Towards seamless large‐domain parameter estimation for hydrologic models , 2017 .
[29] B. Livneh,et al. Key landscape and biotic indicators of watersheds sensitivity to forest disturbance identified using remote sensing and historical hydrography data , 2017 .
[30] N. Molotch,et al. On the use of a snow aridity index to predict remotely sensed forest productivity in the presence of bark beetle disturbance , 2017 .
[31] Martha C. Anderson,et al. The future of evapotranspiration: Global requirements for ecosystem functioning, carbon and climate feedbacks, agricultural management, and water resources , 2017 .
[32] P. Blanken,et al. Ecosystem function in complex mountain terrain: Combining models and long‐term observations to advance process‐based understanding , 2017 .
[33] Diego G. Miralles,et al. Revisiting the contribution of transpiration to global terrestrial evapotranspiration , 2017 .
[34] J. Abatzoglou,et al. Climate influences on whitebark pine mortality from mountain pine beetle in the Greater Yellowstone Ecosystem. , 2016, Ecological applications : a publication of the Ecological Society of America.
[35] P. Blanken,et al. The Niwot Ridge Subalpine Forest US-NR1 AmeriFlux site – Part 1: Data acquisition and site record-keeping , 2016 .
[36] Lu Liang,et al. Forest disturbance interactions and successional pathways in the Southern Rocky Mountains , 2016 .
[37] R. Monson,et al. Earlier snowmelt reduces atmospheric carbon uptake in midlatitude subalpine forests , 2016 .
[38] R. Maxwell,et al. Connections between groundwater flow and transpiration partitioning , 2016, Science.
[39] Aaron T. Porter,et al. Recent bark beetle outbreaks have little impact on streamflow in the Western United States , 2016 .
[40] P. Blanken,et al. Convergent approaches to determine an ecosystem's transpiration fraction , 2016 .
[41] Cho‐ying Huang,et al. When a Tree Dies in the Forest: Scaling Climate-Driven Tree Mortality to Ecosystem Water and Carbon Fluxes , 2016, Ecosystems.
[42] Arjan J. H. Meddens,et al. Recent Tree Mortality in the Western United States from Bark Beetles and Forest Fires , 2016 .
[43] Bofu Yu,et al. Partitioning evapotranspiration based on the concept of underlying water use efficiency , 2016 .
[44] William J. Massman,et al. All Sonic Anemometers Need to Correct for Transducer and Structural Shadowing in Their Velocity Measurements , 2016 .
[45] P. Blanken,et al. The influence of warm-season precipitation on the diel cycle of the surface energy balance and carbon dioxide at a Colorado subalpine forest site , 2015 .
[46] Peter A. Troch,et al. Recent tree die‐off has little effect on streamflow in contrast to expected increases from historical studies , 2015 .
[47] P. Blanken,et al. Fluxes of energy, water, and carbon dioxide from mountain ecosystems at Niwot Ridge, Colorado , 2015 .
[48] D. Cayan,et al. A spatially comprehensive, hydrometeorological data set for Mexico, the U.S., and Southern Canada 1950–2013 , 2015, Scientific Data.
[49] J. Hicke,et al. An Observational and Modeling Study of Impacts of Bark Beetle–Caused Tree Mortality on Surface Energy and Hydrological Cycles , 2015 .
[50] Ben Livneh,et al. Catchment response to bark beetle outbreak and dust-on-snow in the Colorado Rocky Mountains , 2015 .
[51] M. G. Ryan,et al. Forest ecosystem respiration estimated from eddy covariance and chamber measurements under high turbulence and substantial tree mortality from bark beetles , 2015, Global change biology.
[52] C. Williams,et al. Persistence of MODIS evapotranspiration impacts from mountain pine beetle outbreaks in lodgepole pine forests, south-central Rocky Mountains , 2015 .
[53] E. Pendall,et al. Impact of mountain pine beetle induced mortality on forest carbon and water fluxes , 2014 .
[54] Bofu Yu,et al. The effect of vapor pressure deficit on water use efficiency at the subdaily time scale , 2014 .
[55] P. Brooks,et al. Increased evaporation following widespread tree mortality limits streamflow response , 2014 .
[56] W. Massman,et al. Ecosystem CO2/H2O fluxes are explained by hydraulically limited gas exchange during tree mortality from spruce bark beetles , 2014 .
[57] T. A. Black,et al. Evapotranspiration and canopy characteristics of two lodgepole pine stands following mountain pine beetle attack , 2014 .
[58] Naftali Lazarovitch,et al. A review of approaches for evapotranspiration partitioning , 2014 .
[59] Benjamin C. Bright,et al. Effects of bark beetle‐caused tree mortality on biogeochemical and biogeophysical MODIS products , 2013 .
[60] E. Gordon,et al. A conceptual model of water yield effects from beetle‐induced tree death in snow‐dominated lodgepole pine forests , 2013 .
[61] R. Maxwell,et al. Bark beetle infestation impacts on nutrient cycling, water quality and interdependent hydrological effects , 2013, Biogeochemistry.
[62] A. Ducharne,et al. The impact of global land-cover change on the terrestrial water cycle , 2013 .
[63] R. Monson,et al. Persistent reduced ecosystem respiration after insect disturbance in high elevation forests , 2013, Ecology letters.
[64] R. Hubbard,et al. Changes in transpiration and foliage growth in lodgepole pine trees following mountain pine beetle attack and mechanical girdling , 2013 .
[65] Gene E. Likens,et al. Biogeochemistry of beetle-killed forests: Explaining a weak nitrate response , 2013, Proceedings of the National Academy of Sciences.
[66] Paul J. Kushner,et al. Summertime climate response to mountain pine beetle disturbance in British Columbia , 2012, Nature Geoscience.
[67] J. Hicke,et al. Cascading impacts of bark beetle‐caused tree mortality on coupled biogeophysical and biogeochemical processes , 2012 .
[68] Alistair M. S. Smith,et al. Ecohydrological consequences of drought‐ and infestation‐ triggered tree die‐off: insights and hypotheses , 2011 .
[69] N. McDowell,et al. The interdependence of mechanisms underlying climate-driven vegetation mortality. , 2011, Trends in ecology & evolution.
[70] Peter A. Troch,et al. Decreased streamflow in semi-arid basins following drought-induced tree die-off: A counter-intuitive and indirect climate impact on hydrology , 2011 .
[71] Maosheng Zhao,et al. Improvements to a MODIS global terrestrial evapotranspiration algorithm , 2011 .
[72] R. Hubbard,et al. Tree regeneration and future stand development after bark beetle infestation and harvesting in Colorado lodgepole pine stands , 2011 .
[73] H. Fowler,et al. Climate change and mountain water resources: overview and recommendations for research, management and policy , 2011 .
[74] David W. Pierce,et al. Future dryness in the southwest US and the hydrology of the early 21st century drought , 2010, Proceedings of the National Academy of Sciences.
[75] A. Carroll,et al. Climate change and range expansion of an aggressive bark beetle: evidence of higher beetle reproduction in naïve host tree populations , 2010 .
[76] R. Monson,et al. Longer growing seasons lead to less carbon sequestration by a subalpine forest , 2010 .
[77] P. Blanken,et al. Estimating sublimation of intercepted and sub‐canopy snow using eddy covariance systems , 2007 .
[78] P. Mote,et al. Twentieth-Century Trends in Runoff, Evapotranspiration, and Soil Moisture in the Western United States* , 2007 .
[79] Michael A. Wulder,et al. Surveying mountain pine beetle damage of forests: A review of remote sensing opportunities , 2006 .
[80] T. Vesala,et al. On the separation of net ecosystem exchange into assimilation and ecosystem respiration: review and improved algorithm , 2005 .
[81] Ben Bond-Lamberty,et al. Effects of stand age and tree species on canopy transpiration and average stomatal conductance of boreal forests , 2005 .
[82] Limin Yang,et al. Development of a 2001 National land-cover database for the United States , 2004 .
[83] R. Dickinson,et al. Comparison of seasonal and spatial variations of leaf area index and fraction of absorbed photosynthetically active radiation from Moderate Resolution Imaging Spectroradiometer (MODIS) and Common Land Model , 2004 .
[84] Peter D. Blanken,et al. Energy budget above a high-elevation subalpine forest in complex topography , 2002 .
[85] W. Oechel,et al. FLUXNET: A New Tool to Study the Temporal and Spatial Variability of Ecosystem-Scale Carbon Dioxide, Water Vapor, and Energy Flux Densities , 2001 .
[86] Bart Nijssen,et al. Global Retrospective Estimation of Soil Moisture Using the Variable Infiltration Capacity Land Surface Model, 1980–93 , 2001 .
[87] R. Paine,et al. Compounded Perturbations Yield Ecological Surprises , 1998, Ecosystems.
[88] D. Lettenmaier,et al. Streamflow simulation for continental‐scale river basins , 1997 .
[89] John D. Stednick,et al. MONITORING THE EFFECTS OF TIMBER HARVEST ON ANNUAL WATER YIELD , 1996 .
[90] D. Lettenmaier,et al. A simple hydrologically based model of land surface water and energy fluxes for general circulation models , 1994 .
[91] J. Chen,et al. Defining leaf area index for non‐flat leaves , 1992 .
[92] D. H. Knight,et al. Lodgepole Pine Ecosystems , 1986 .
[93] D. Potts. HYDROLOGIC IMPACTS OF A LARGE-SCALE MOUNTAIN PINE BEETLE (DENDROCTONUS PONDEROSAE HOPKINS) EPIDEMIC , 1984 .
[94] John Roberts,et al. Forest transpiration: A conservative hydrological process? , 1983 .
[95] S. Ishwarya,et al. Evaporation: , 1941, Air and Water.
[96] Paula J. Fornwalt,et al. Bark beetle outbreaks alter biotic components of forested ecosystems , 2022, Bark Beetle Management, Ecology, and Climate Change.
[97] R. Myneni,et al. Reduced streamflow in water-stressed climates consistent with CO2 effects on vegetation , 2016 .
[98] E. Pendall,et al. Soil Nitrogen Five Years after Bark Beetle Infestation in Lodgepole Pine Forests , 2015 .
[99] J. Hicke,et al. Responses of tree-killing bark beetles to a changing climate. , 2015 .
[100] N. Bethlahmy. More streamflow after a bark beetle epidemic , 1974 .