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  • 1
    Call number: ZS-013(2)
    In: Bayreuther Forum Ökologie
    Type of Medium: Series available for loan
    Pages: 246 S. , graph. Darst.
    Series Statement: Bayreuther Forum Ökologie 2
    Note: Zugl.: Bayreuth, Univ., Diss., 1993
    Location: Lower compact magazine
    Branch Library: GFZ Library
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  • 2
    Call number: 9783662562338 (e-book)
    Description / Table of Contents: This completely updated and revised second edition provides a unique and up-to-date treatment of all aspects of plant ecology, making it an ideal textbook and reference work for students, researchers and practitioners. More than 500 high-quality images and drawings, mostly in colour, aid readers’ understanding of various key topics, while the clear structure and straightforward style make it user friendly and particularly useful for students. Written by leading experts, it offers authoritative information, including relevant references. While Plant Ecology primarily addresses graduate students in biology and ecology, it is also a valuable resource for post-graduate students and researchers in botany, environmental sciences and landscape ecology, as well as all those whose study or work touches on agriculture, forestry, land use, and landscape management. Key Topics: - Molecular ecophysiology (molecular stress physiology: light, temperature, oxygen deficiency, water deficit (drought), unfavorable soil mineral conditions, biotic stress) - Physiological and biophysical plant ecology (ecophysiology of plants: thermal balance, water, nutrient, carbon relations) - Ecosystem ecology (characteristics of ecosystems, approaches how to study and how to model terrestrial ecosystems, biogeochemical fluxes in terrestrial ecosystems) - Community ecology and biological diversity (development of plant communities in time and space, interactions between plants and plant communities with the abiotic and the biotic environment, biodiversity and ecosystem functioning) - Global ecology (global biogeochemical cycles, Dynamic Global Vegetation Models, global change and terrestrial ecosystems)
    Type of Medium: 12
    Pages: 1 Online-Ressource (XXI, 926 Seiten) , Illustrationen, Diagramme, Karten
    Edition: Second edition
    ISBN: 9783662562338 , 978-3-662-56233-8
    Language: English
    Note: Contents 1 Introduction References Part I Molecular Stress Physiology 2 General Themes of Molecular Stress Physiology 2.1 Definitions and Concepts 2.1.1 Stress 2.1.2 Quantification of Stress 2.1.3 Escape–Resistance–Avoidance–Tolerance 2.1.4 Stress Responses–Acclimation–Adaptation 2.1.5 Filters Determining Species Distribution 2.2 Activation of Stress Tolerance and Avoidance Mechanisms 2.2.1 Stress Sensing and Signal Transduction 2.2.2 Transcriptional Control 2.2.3 Oxidative Stress 2.2.4 Long-Distance Stress Signalling 2.2.5 The Model System Arabidopsis thaliana 2.3 Stress and Growth Regulation 2.4 Molecular Basis of Escape and Anticipation of Stress 2.4.1 Circadian Rhythms 2.4.2 Anticipation of Seasonal Changes in Environmental Conditions 2.4.3 Developmental Switches Triggered by Favourable Conditions 2.4.4 Trans-Generational Stress Memory Summary References 3 Light 3.1 The Dual Significance of Light 3.2 Visible Light 3.2.1 Avoidance of Light Stress and Permanent or Dynamic Acclimation 3.2.2 Overexcitation and Damage to Photosynthetic Membranes. 3.2.3 Flexible Acclimation to Changes in Light Intensity 3.2.4 Continuous Light 3.2.5 Light Triggers Plant Adaptation and Acclimation to the Environment 3.3 UV-B Radiation 3.3.1 Ranges of Ultraviolet Radiation and Biological Activity 3.3.2 Ultraviolet-B Damage and Repair Mechanisms 3.3.3 Avoidance of Ultraviolet-B-Induced Stress 3.3.4 Ultraviolet-B Perception and Signalling 3.3.5 Crosstalk Between Ultraviolet-B and Visible Light Responses Summary References 4 Temperature 4.1 The Temperature Challenge 4.1.1 Temperature Dependence of Life 4.1.2 Plants as Poikilothermic Organisms 4.1.3 Variations in Temperature Range 4.1.4 Strategies to Cope with Temperature Fluctuations and Temperature Extremes 4.2 Cold Acclimation and Freezing Tolerance 4.2.1 Adjustment of Membrane Fluidity 4.2.2 Prevention of Photoinhibition 4.2.3 Cryoprotective Proteins 4.2.4 Control of Ice Formation 4.2.5 Signalling Networks Involved in Cold Acclimation 4.2.6 Freezing Avoidance and Freezing Tolerance in Tropical High Mountain Plants 4.3 Heat Stress 4.3.1 Heat Stress Avoidance 4.3.2 Acquired Thermotolerance 4.3.3 The Heat Shock Response 4.4 Temperature Sensing 4.4.1 Sensing of Extreme Temperatures 4.4.2 Sensing of Ambient Temperature Changes Summary References 5 Oxygen Deficiency 5.1 Conditions of Flooded Soil 5.2 Hypoxia-Induced Damage: Energy Metabolism of Plants Under Oxygen Deficiency 5.3 Natural Variation in the Ability to Endure Inundation by Water 5.4 Adaptations to Flooding-Prone Habitats 5.4.1 Anatomical–Morphological Adaptations and Modifications 5.4.2 Biochemical Modifications 5.5 Sensing of Flooding and Ensuing Signal Transduction 5.5.1 Ethylene Signal Transduction 5.5.2 Oxygen Sensing 5.6 Regulation of Avoidance and Tolerance Strategies Summary References 6 Water Deficiency (Drought) 6.1 The Properties of Water 6.2 Water Acquisition and Movement: Cellular Aspects 6.2.1 The Water Potential 6.2.2 Facilitation of Intercellular and Intracellular Water Flow: Aquaporins 6.3 Drought Stress Responses: Avoidance and Tolerance 6.3.1 Control of the Osmotic Potential 6.3.2 Protective Proteins 6.3.3 Regulation of the Stomatal Aperture 6.4 Acclimation of Growth 6.4.1 Inhibition of Shoot Growth 6.4.2 Stimulation of Root Growth 6.5 Sensing of Water Status and Signal Transduction 6.5.1 Sensing of Water Status 6.5.2 ABA Signal Transduction 6.5.3 ABA-Independent Signalling 6.6 Photosynthesis Variants with Improved Water Use Efficiency 6.6.1 C4 Photosynthesis 6.6.2 Evolution of C 4 Photosynthesis 6.6.3 Crassulacean Acid Metabolism 6.6.4 Evolution of Crassulacean Acid Metabolism Photosynthesis Summary References 7 Adverse Soil Mineral Availability 7.1 Mineral Nutrients 7.2 The Mineral Nutrition Challenge 7.2.1 Elements in the Soil 7.2.2 Element Toxicity 7.3 Nutrient Acquisition and Responses to Nutrient Scarcity 7.3.1 Modulation of Nutrient Availability 7.3.2 Cellular Ion Transport Mechanisms 7.3.3 Modulation of Nutrient Uptake in Response to Deficiency 7.3.4 Intracellular Transport and Cellular Aspects of Long-Distance Transport 7.3.5 Plasticity of Root Architecture and Responses to Nutrient Deficiency 7.3.6 Sensing of Nutrient Availability and Nutrient Status . 7.4 Nutrient Acquisition Symbioses 7.4.1 Mycorrhizae 7.4.2 Nitrogen Fixation 7.4.3 The Common Sym Pathway 7.5 Responses to Element Toxicity and Tolerance Mechanisms 7.5.1 Essential Metal Toxicity and Tolerance 7.5.2 Metal Hyperaccumulators as Models for Adaptation to Extreme Environments 7.5.3 Sodium Toxicity 7.5.4 Aluminium Toxicity and Tolerance 7.5.5 Non-Essential Toxic Metals Summary References 8 Biotic Stress 8.1 Plant Disease Caused by Pathogens 8.1.1 Types of Pathogens: Viruses, Bacteria, Fungi, Oomycetes and Nematodes 8.1.2 Pathogenicity Mechanisms 8.2 Plant Defences Against Microbial Pathogens and Viruses 8.2.1 Preformed Defences Against Bacteria, Fungi and Oomycetes 8.2.2 Inducible Local Defences 8.2.3 Inducible Systemic Resistance 8.2.4 Defence Against Viruses via Gene Silencing 8.3 Herbivory 8.3.1 Constitutive Defences 8.3.2 Inducible Defences Against Herbivores 8.3.3 How Plant–Herbivore Interactions Drive Genetic Diversity 8.4 Parasitic Plants 8.5 Allelopathy Summary References Part II Physiological and Biophysical Plant Ecology 9 Thermal Balance of Plants and Plant Communities 9.1 Energy Balance of the Atmospheric Boundary Layer 9.2 Microclimate Near the Ground Surface 9.2.1 Daily Changes in Temperature Near the Ground 9.2.2 Modification of Environmental Radiation and Temperature by Abiotic Factors 9.2.3 Modification of the Radiation Budget and Temperature by Biotic Factors 9.3 Energy Balance of Leaves 9.4 Acclimation and Adaptation to Temperature Extremes 9.4.1 Acclimation and Adaptation to High Temperatures 9.4.2 Acclimation and Adaptation to Low Temperatures Summary References 10 Water Relations 10.1 Water as an Environmental Factor 10.1.1 Water Use by Plants and Animals 10.1.2 Availability of Water on Earth 10.1.3 Drivers of Water Flow Between the Soil and the Atmosphere 10.2 Water Transport from the Soil to the Plant 10.2.1 Water Uptake 10.2.2 Xylem Water Transport 10.2.3 Phloem Water Transport 10.3 Transpiration 10.3.1 Stomatal Responses to Plant-Internal Factors 10.3.2 Stomatal Responses to Environmental Factors Summary References 11 Nutrient Relations 11.1 Availability of Soil Nutrients and Ion Use 11.1.1 Plant Nutrients 11.1.2 Availability of Nutrients in Soil 11.1.3 General Aspects of Plant Nutrition 11.1.4 Nutrient Deficiency and Excess 11.2 Nitrogen Nutrition 11.2.1 Nitrogen in Plant Metabolism 11.2.2 Nitrogen Uptake and Nutrition 11.2.3 Nitrogen Requirements for Growth 11.2.4 Nitrogen Storage 11.2.5 Insectivorous Plants 11.2.6 Nitrogen Deficiency and Excess 11.3 Sulphur Nutrition 11.3.1 Sulphur in Plant Metabolism 11.3.2 Sulphur Uptake and Plant Requirements 11.3.3 Indicators of Sulphur Deficiency and Excess 11.4 Phosphate Nutrition 11.4.1 Phosphorus in Plant Metabolism 11.4.2 Phosphate Uptake and Plant Requirements 11.4.3 Indicators of Phosphorus Deficiency and Excess 11.5 Alkaline Cation Nutrition 11.5.1 Magnesium 11.5.2 Calcium 11.5.3 Potassium Summary References 12 Carbon Relations 12.1 Photosynthetic CO2 Uptake: Physiological and Physical Basis 12.1.1 Photosynthesis as a Diffusion Process 12.1.2 Evolution of C 3, C4 and Crassulacean Acid Metabolism Plant Species 12.2 Photosynthesis Models and Calculation of 13C/12C Fluxes (Contribution by A. Arneth) 12.2.1 RubisCO-Limited or RuBP-Saturated Rate (Av) 12.2.2 RuBP Regeneration–Dependent and Electron Transport–Limiting Rate (Aj) 12.2.3 Supply of CO 2 Through Stomata 12.2.4 13C/12C Discrimination 12.3 Specific Leaf Area, Nitrogen Concentrations and Photosynthetic Capacity 12.3.1 Specific Leaf Area 12.3.2 Maximum Rates of CO2 Assimilation 12.4 Response of Photosynthesis to Environmental Variables 12.4.1 Light Response of CO 2 Assimilation 12.4.2 Temperature Response of CO2 Assimilation 12.4.3 Relative Air Humidi
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  • 3
    ISSN: 1476-4687
    Source: Nature Archives 1869 - 2009
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
    Notes: [Auszug] The respiratory activities of plant roots, of their mycorrhizal fungi and of the free-living microbial heterotrophs (decomposers) in soils are significant components of the global carbon balance, but their relative contributions remain uncertain. To separate mycorrhizal root respiration from ...
    Type of Medium: Electronic Resource
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  • 4
    ISSN: 1365-2486
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Biology , Energy, Environment Protection, Nuclear Power Engineering , Geography
    Notes: This paper discusses the advantages and disadvantages of the different methods that separate net ecosystem exchange (NEE) into its major components, gross ecosystem carbon uptake (GEP) and ecosystem respiration (Reco). In particular, we analyse the effect of the extrapolation of night-time values of ecosystem respiration into the daytime; this is usually done with a temperature response function that is derived from long-term data sets. For this analysis, we used 16 one-year-long data sets of carbon dioxide exchange measurements from European and US-American eddy covariance networks. These sites span from the boreal to Mediterranean climates, and include deciduous and evergreen forest, scrubland and crop ecosystems.We show that the temperature sensitivity of Reco, derived from long-term (annual) data sets, does not reflect the short-term temperature sensitivity that is effective when extrapolating from night- to daytime. Specifically, in summer active ecosystems the long-term temperature sensitivity exceeds the short-term sensitivity. Thus, in those ecosystems, the application of a long-term temperature sensitivity to the extrapolation of respiration from night to day leads to a systematic overestimation of ecosystem respiration from half-hourly to annual time-scales, which can reach 〉25% for an annual budget and which consequently affects estimates of GEP. Conversely, in summer passive (Mediterranean) ecosystems, the long-term temperature sensitivity is lower than the short-term temperature sensitivity resulting in underestimation of annual sums of respiration.We introduce a new generic algorithm that derives a short-term temperature sensitivity of Reco from eddy covariance data that applies this to the extrapolation from night- to daytime, and that further performs a filling of data gaps that exploits both, the covariance between fluxes and meteorological drivers and the temporal structure of the fluxes. While this algorithm should give less biased estimates of GEP and Reco, we discuss the remaining biases and recommend that eddy covariance measurements are still backed by ancillary flux measurements that can reduce the uncertainties inherent in the eddy covariance data.
    Type of Medium: Electronic Resource
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  • 5
    Electronic Resource
    Electronic Resource
    Oxford, UK : Blackwell Publishing Ltd
    Global change biology 2 (1996), S. 0 
    ISSN: 1365-2486
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Biology , Energy, Environment Protection, Nuclear Power Engineering , Geography
    Notes: Vertical CO2 profiles (between 0.02 and 14.0 m) were studied in forest canopies of Pinus contorta, Populus tremuloides, and in a riparian forest with Acer negundo and Acer grandidentatum during two consecutive growing seasons. Profiles, measured continuously during 1- to 13-day periods in four to five stands differing in overstorey canopy area index (CAI 〈 4.5; including leaves, branches and stems), were well stratified, with highest [CO2] just above the forest floor. Canopy [CO2] profiles were influenced by stand structure (CAI, presence of understorey vegetation), and were highly dependent on vegetation type (deciduous and evergreen). A doubling of CAI in Acer spp. and P. tremuloides stands did not show an effect on upper canopy [CO2], when turbulent mixing was high. However, increasing understorey biomass in Acer spp. stands had a profound effect on lower canopy [CO2]. In open stands with a vigorous understorey layer, higher soil respiration rates were offset by increased understorey gas exchange, resulting in [CO2] below those of the convective boundary layer (CBL). Midday depletions up to 20 ppmv below CBL values could be frequently observed in deciduous canopies. In evergreen canopies, [CO2] stayed generally above the CBL background values, [CO2] profiles were more uniform, and gradients were smaller than in deciduous stands with similar CAI. Seasonal changes of canopy [CO2] reflected changes in soil respiration rates as well as plant phenology and gas exchange of both dominant tree and understorey vegetation. Seasonal patterns were less pronounced in evergreen than in deciduous forests.
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  • 6
    ISSN: 1365-2486
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Biology , Energy, Environment Protection, Nuclear Power Engineering , Geography
    Notes: We present carbon stable isotope, δ13C, results from air and organic matter samples collected during 98 individual field campaigns across a network of Carboeuroflux forest sites in 2001 (14 sites) and 2002 (16 sites). Using these data, we tested the hypothesis that δ13C values derived from large-scale atmospheric measurements and models, which are routinely used to partition carbon fluxes between land and ocean, and potentially between respiration and photosynthesis on land, are consistent with directly measured ecosystem-scale δ13C values. In this framework, we also tested the potential of δ13C in canopy air and plant organic matter to record regional-scale ecophysiological patterns.Our network estimates for the mean δ13C of ecosystem respired CO2 and the related ‘discrimination’ of ecosystem respiration, δer and Δer, respectively, were −25.6±1.9‰ and 17.8 ±2.0‰ in 2001 and −26.6±1.5‰ and 19.0±1.6‰ in 2002. The results were in close agreement with δ13C values derived from regional-scale atmospheric measurement programs for 2001, but less so in 2002, which had an unusual precipitation pattern. This suggests that regional-scale atmospheric sampling programs generally capture ecosystem δ13C signals over Europe, but may be limited in capturing some of the interannual variations.In 2001, but less so in 2002, there were discernable longitudinal and seasonal trends in δer. From west to east, across the network, there was a general enrichment in 13C (∼3‰ and ∼1‰ for the 2 years, respectively) consistent with increasing Gorczynski continentality index for warmer and drier conditions. In 2001 only, seasonal 13C enrichment between July and September, followed by depletion in November (from about −26.0‰ to −24.5‰ to −30.0‰), was also observed. In 2001, July and August δer values across the network were significantly related to average daytime vapor pressure deficit (VPD), relative humidity (RH), and, to a lesser degree, air temperature (Ta), but not significantly with monthly average precipitation (Pm). In contrast, in 2002 (a much wetter peak season), δer was significantly related with Ta, but not significantly with VPD and RH. The important role of plant physiological processes on δer in 2001 was emphasized by a relatively rapid turnover (between 1 and 6 days) of assimilated carbon inferred from time-lag analyses of δer vs. meteorological parameters. However, this was not evident in 2002. These analyses also noted corresponding diurnal cycles of δer and meteorological parameters in 2001, indicating a rapid transmission of daytime meteorology, via physiological responses, to the δer signal during this season.Organic matter δ13C results showed progressive 13C enrichment from leaves, through stems and roots to soil organic matter, which may be explained by 13C fractionation during respiration. This enrichment was species dependent and was prominent in angiosperms but not in gymnosperms. δ13C values of organic matter of any of the plant components did not well represent short-term δer values during the seasonal cycle, and could not be used to partition ecosystem respiration into autotrophic and heterotrophic components.
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  • 7
    ISSN: 1573-515X
    Keywords: 15N-tracers ; ammonium ; ecosystem ; fungi ; nitrate ; Picea abies (L.) Karst ; understory competition
    Source: Springer Online Journal Archives 1860-2000
    Topics: Chemistry and Pharmacology , Geosciences
    Notes: Abstract The partitioning of nitrogen deposition among soil, litter, below- and above-ground biomass of trees and understory vegetation was investigated in a 15-year-old Picea abies (L.) Karst. plantation in the Fichtelgebirge, Germany, by labeling with 62 mg of15N tracer per square meter in March 1991. Ammonium and nitrate depositions were simulated on five plots each, by labeling with either15N-NH4 + or15N-NO3 −, and the15N pulse was followed during two successive growing seasons (1991 and 1992). Total recovery rates of the15N tracer in the entire stand ranged between 93 and 102% for both nitrogen forms in 1991, and 82% in June 1992. δ5 N ratios increased rapidly in all compartments of the ecosystem. Roots and soils (to 65 cm depth) showed significant15N enrichments for both15N-treatments compared to reference plots. Newly grown spruce tissues were more enriched than older ones, but the most enriched δ15N values were found in the understory vegetation. Although spruce trees were a much larger pool (1860 g biomass/m2) than understory vegetation (Vaccinium myrtillus 333 g/m2, Calluna vulgaris 142 g/m2, Deschampsia flexuosa 22 g/m2), the ericaceous shrubs and the perennial grass were a much greater sink for the15N label. Eight months after labeling, 9% of the ammonium and 15% of the nitrate label were found in the understory. P.abies retained only 3% of the15N-ammonium and 7% of the15N-nitrate. The main sink for both15N tracers was the soil, where 87% of the ammonium and 79% of the nitrate tracer were found. The organic soil horizon (5-0 cm depth) contained 63% of the15N-ammonium and 46% of the15N -nitrate suggesting strong immobilization by microorganisms of both N forms. Eight months after tracer application, about 16% of both15N-tracers was found below 25 cm soil depth. This 16% corresponds well to a 20% decrease in the recovery of both15N tracers after 15 months and indicates a total loss out of the ecosystem. Highly enriched δ15N values were found in fruit bodies of fungi growing in reference lots (no15N addition), although soils did not show increased δ15N ratios. No transfer of15N-tracer between fungi and spruce or understory vegetation was apparent yet.
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  • 8
    Publication Date: 2020-10-07
    Description: Concern about the functional consequences of unprecedented loss in biodiversity has prompted biodiversity–ecosystem functioning (BEF) research to become one of the most active fields of ecological research in the past 25 years. Hundreds of experiments have manipulated biodiversity as an independent variable and found compelling support that the functioning of ecosystems increases with the diversity of their ecological communities. This research has also identified some of the mechanisms underlying BEF relationships, some context-dependencies of the strength of relationships, as well as implications for various ecosystem services that humankind depends upon. In this chapter, we argue that a multitrophic perspective of biotic interactions in random and non-random biodiversity change scenarios is key to advance future BEF research and to address some of its most important remaining challenges. We discuss that the study and the quantification of multitrophic interactions in space and time facilitates scaling up from small-scale biodiversity manipulations and ecosystem function assessments to management-relevant spatial scales across ecosystem boundaries. We specifically consider multitrophic conceptual frameworks to understand and predict the context-dependency of BEF relationships. Moreover, we highlight the importance of the eco-evolutionary underpinnings of multitrophic BEF relationships. We outline that FAIR data (meeting the standards of findability, accessibility, interoperability, and reusability) and reproducible processing will be key to advance this field of research by making it more integrative. Finally, we show how these BEF insights may be implemented for ecosystem management, society, and policy. Given that human well-being critically depends on the multiple services provided by diverse, multitrophic communities, integrating the approaches of evolutionary ecology, community ecology, and ecosystem ecology in future BEF research will be key to refine conservation targets and develop sustainable management strategies.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , peerRev
    Format: application/pdf
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  • 9
    Publication Date: 2021-06-29
    Description: The FLUXNET2015 dataset provides ecosystem-scale data on CO2, water, and energy exchange between the biosphere and the atmosphere, and other meteorological and biological measurements, from 212 sites around the globe (over 1500 site-years, up to and including year 2014). These sites, independently managed and operated, voluntarily contributed their data to create global datasets. Data were quality controlled and processed using uniform methods, to improve consistency and intercomparability across sites. The dataset is already being used in a number of applications, including ecophysiology studies, remote sensing studies, and development of ecosystem and Earth system models. FLUXNET2015 includes derived-data products, such as gap-filled time series, ecosystem respiration and photosynthetic uptake estimates, estimation of uncertainties, and metadata about the measurements, presented for the first time in this paper. In addition, 206 of these sites are for the first time distributed under a Creative Commons (CC-BY 4.0) license. This paper details this enhanced dataset and the processing methods, now made available as open-source codes, making the dataset more accessible, transparent, and reproducible.
    Repository Name: EPIC Alfred Wegener Institut
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  • 10
    Publication Date: 2021-08-16
    Description: Estimation of high-resolution terrestrial evapotranspiration (ET) from Landsat data is important in many climatic, hydrologic, and agricultural applications, as it can help bridging the gap between existing coarse-resolution ET products and point-based field measurements. However, there is large uncertainty among existing ET products from Landsat that limit their application. This study presents a simple Taylor skill fusion (STS) method that merges five Landsat-based ET products and directly measured ET from eddy covariance (EC) to improve the global estimation of terrestrial ET. The STS method uses a weighted average of the individual ET products and weights are determined by their Taylor skill scores (S). The validation with site-scale measurements at 206 EC flux towers showed large differences and uncertainties among the five ET products. The merged ET product exhibited the best performance with a decrease in the averaged root-mean-square error (RMSE) by 2–5 W/m2 when compared to the individual products. To evaluate the reliability of the STS method at the regional scale, the weights of the STS method for these five ET products were determined using EC ground-measurements. An example of regional ET mapping demonstrates that the STS-merged ET can effectively integrate the individual Landsat ET products. Our proposed method provides an improved high-resolution ET product for identifying agricultural crop water consumption and providing a diagnostic assessment for global land surface models.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
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