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  • 1
    Online Resource
    Online Resource
    Grassland Ecosystems of China : A Synthesis and Resume (2020)
    Singapore :Springer Nature Singapore :
    Details
    Keywords: Biotic communities. ; Ecology . ; Animal migration. ; Plant ecology. ; Biodiversity. ; Ecosystems. ; Terrestial Ecology. ; Animal Migration. ; Plant Ecology. ; Biodiversity.
    Description / Table of Contents: Chapter 1. Introduction -- Chapter 2. Overview of Chinese grassland ecosystems -- Chapter 3. Natural conditions -- Chapter 4. Major regional grasslands in China -- Chapter 5. Type and distribution of Chinese grassland ecosystems -- Chapter 6. Meadow steppe ecosystem -- Chapter 7. Typical steppe ecosystem -- Chapter 8. Desert steppe ecosystem -- Chapter 9. Alpine steppe ecosystem -- Chapter 10. Montane steppe ecosystem -- Chapter 11. Shrub Steppe Ecosystem -- Chapter 12. Sandy grassland ecosystem -- Chapter 13. Desert Rangeland Ecosystem -- Chapter 14. Meadows -- Chapter 15. Marsh Grassland Ecosystem -- Chapter 16. Tussock Grassland Ecosystem.
    Abstract: This book provides a comprehensive overview of grassland ecosystems based on publications by Chinese scholars. It offers an up-to-date review of the recent advances in grassland research in China, discusses the climatic and physical conditions governing the grasslands, describes their types and distribution, and introduces a new classification scheme for grassland ecosystems. Further, it details the plant, animal, and microbial compositions of each grassland ecosystem type, examining the above and below ground relationships between phytomass, vegetation succession, and past/current management practices with a particular focus on the steppes in China. It also includes references that are only available in the Chinese language. This scientifically rigorous book offers insights into knowledge gaps for the scientific community and identifies pressing issues facing practitioners of grassland ecology and management. It can be used as a textbook for undergraduate and graduate students in ecology, environmental science, natural resource management, agriculture, and other relevant fields, and is also a valuable reference resource for researchers studying drylands in China or around the globe.
    Type of Medium: Online Resource
    Pages: XVII, 583 p. 125 illus., 20 illus. in color. , online resource.
    Edition: 1st ed. 2020.
    ISBN: 9789811534218
    Series Statement: Ecosystems of China, 2
    URL: https://doi.org/10.1007/978-981-15-3421-8
    DOI: 10.1007/978-981-15-3421-8
    DDC: 577
    Language: English
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  • 2
    Online Resource
    Online Resource
    Landscape Dynamics of Drylands across Greater Central Asia: People, Societies and Ecosystems (2020)
    Cham :Springer International Publishing :
    Details
    Keywords: Biotic communities. ; Geographic information systems. ; Landscape ecology. ; Urban ecology (Biology). ; Climatology. ; Ecosystems. ; Geographical Information System. ; Landscape Ecology. ; Urban Ecology. ; Climate Sciences.
    Description / Table of Contents: Preface -- Multiple Perspectives on Eurasian Drylands -- Dry Land Belt of Northern Eurasia: Contemporary Environmental Changes -- Recent Land Surface Dynamics in Greater Central Asia -- Quantifying the Anthropogenic Signature in Drylands of Central Asia and Its Impact on Water Scarcity and Dust Emissions -- The Complexity and Challenges of Central Asia’s Water-Energy-Food Systems -- Assessment of the influences of dust storms on cotton production in Tajikistan -- Population and Urban Dynamics in Drylands of China -- Hydrology and Erosion Risk Parameters for Grasslands in Central Asia -- A Conceptual Framework for Ecosystem Stewardship Based on Landscape Dynamics: Case Studies From Kazakhstan and Mongolia -- Social-Ecological Systems across the Asian Drylands Belt (ADB) -- Index.
    Abstract: This volume is a compilation of studies on interactions of changes in land cover, land use and climate with people, societies and ecosystems in drylands of Greater Central Asia. It explores the effects of collapse of socialist governance and management systems on land use in various parts of Central Asia, including former Soviet Union republics, Mongolia and northern drylands of China. Often, regional land-atmosphere feedbacks may have large global importance. Remote sensing is a primary tool in studying vast dryland territories where in situ observations are sporadic. State-of-the-art methods of satellite remote sensing combined with GIS and models are used to tackle science questions and provide an outlook of current changes at land surface and potential scenarios for the future. In 10 chapters, contributing authors cover topics such as water resources, effects of institutional changes on urban centers and agriculture, landscape dynamics, and the primary drivers of environmental changes in dryland environment. Satellite observations that have accumulated during the last five decades provide a rich time series of the dynamic land surface, enabling systematic analysis of changes in land cover and land use from space. The book is a truly international effort by a team of scientists from the U.S., Europe and Central Asia. It is directed at the broad science community including graduate students, academics and other professionals at all levels within natural and social sciences. In particular, it will appeal to geographers, environmental and social scientists, economists, agricultural scientists, and remote sensing specialists.
    Type of Medium: Online Resource
    Pages: XV, 230 p. 95 illus., 76 illus. in color. , online resource.
    Edition: 1st ed. 2020.
    ISBN: 9783030307424
    Series Statement: Landscape Series, 17
    URL: https://doi.org/10.1007/978-3-030-30742-4
    DOI: 10.1007/978-3-030-30742-4
    DDC: 577
    Language: English
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  • 3
    Electronic Resource
    Electronic Resource
    Potential effects of warming and drying on peatland plant community composition (2003)
    Oxford, UK : Blackwell Science, Ltd
    Global change biology 9 (2003), S. 0 
    Details
    ISSN: 1365-2486
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Biology , Energy, Environment Protection, Nuclear Power Engineering , Geography
    Notes: Boreal peatlands may be particularly vulnerable to climate change, because temperature regimes that currently constrain biological activity in these regions are predicted to increase substantially within the next century. Changes in peatland plant community composition in response to climate change may alter nutrient availability, energy budgets, trace gas fluxes, and carbon storage. We investigated plant community response to warming and drying in a field mesocosm experiment in northern Minnesota, USA. Large intact soil monoliths removed from a bog and a fen received three infrared warming treatments crossed with three water-table treatments (n = 3) for five years. Foliar cover of each species was estimated annually.In the bog, increases in soil temperature and decreases in water-table elevation increased cover of shrubs by 50% and decreased cover of graminoids by 50%. The response of shrubs to warming was distinctly species-specific, and ranged from increases (for Andromeda glaucophylla) to decreases (for Kalmia polifolia). In the fens, changes in plant cover were driven primarily by changes in water-table elevation, and responses were species- and lifeform-specific: increases in water-table elevation increased cover of graminoids – in particular Carex lasiocarpa and Carex livida– as well as mosses. In contrast, decreases in water-table elevation increased cover of shrubs, in particular A. glaucophylla and Chamaedaphne calyculata. The differential and sometimes opposite response of species and lifeforms to the treatments suggest that the structure and function of both bog and fen plant communities will change – in different directions or at different magnitudes – in response to warming and/or changes in water-table elevation that may accompany regional or global climate change.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1046/j.1365-2486.2003.00571.x
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  • 4
    Electronic Resource
    Electronic Resource
    Prehistoric, historic, and present settlement patterns related to ecological hierarchy in the Eastern Upper Peninsula of Michigan, U.S.A. (1997)
    Springer
    Landscape ecology 12 (1997), S. 223-240 
    Details
    ISSN: 1572-9761
    Keywords: cultural ecology ; settlement patterns ; landtype associations ; archaeology ; General Land Office surveyors' notes ; LandSAT ; digital elevation model
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Abstract The distribution of human occupation across a landscape provides informationabout how people use the landscape, about patterns of economic development,and about social interactions of human groups. When the distributions areexamined over several thousand years, we gain an evolutionary understanding,not only of the people and their cultural patterns, but also of physicallandscape development. The focus of this assessment was to examine andcompare settlement patterns of prehistoric, historic, and present timeperiods, based on known cultural sites in the Eastern Upper Peninsula ofMichigan, U.S.A., and to generate hypotheses about the interaction ofsettlement pattern and landscape change at multiple scales. Patterns ofsettlement among the three time periods were compared at three geographicscales: by subregional ecosystems, by landscape ecosystems and by terraincharacteristics. The Michigan Bureau of History database of archaeologicalsites was searched for prehistoric habitation sites of Middle or LateWoodland period (ca. 3000-300 years before present). Historic occupationswere drawn from pre-European settlement landscape data based on General LandOffice survey notes of the 1850s. We extracted “urban” categories from landcover classified from Landsat Thematic Mapper imagery to measure presentoccupations. Spatial patterns and dynamics of settlement areas in each timeperiod were examined using the ARC/INFO geographic information system (GIS).Results showed a tendency for settlement in all time periods on the bedrockand lowland landscape groups near Great Lakes shorelines, generally occupyingslopes less than two percent. The distribution of present occupations, interms of both slope aspect and geographic subregion (multi-scalar), wassimilar to the distribution of prehistoric occupations. Both prehistoric andpresent sites were primarily south facing and were frequently found alongGreen Bay and Lake Michigan shorelines.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1023/A:1007946907682
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  • 5
    Electronic Resource
    Electronic Resource
    Hierarchical relationships between landscape structure and temperature in a managed forest landscape (1998)
    Springer
    Landscape ecology 13 (1998), S. 381-395 
    Details
    ISSN: 1572-9761
    Keywords: hierarchy ; landscape structure ; microclimate ; pattern-process ; scale ; wavelet analysis
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Abstract Management may influence abiotic environments differently across time and spatial scale, greatly influencing perceptions of fragmentation of the landscape. It is vital to consider a priori the spatial scales that are most relevant to an investigation, and to reflect on the influence that scale may have on conclusions. While the importance of scale in understanding ecological patterns and processes has been widely recognized, few researchers have investigated how the relationships between pattern and process change across spatial and temporal scales. We used wavelet analysis to examine the multiscale structure of surface and soil temperature, measured every 5 m across a 3820 m transect within a national forest in northern Wisconsin. Temperature functioned as an indicator – or end product – of processes associated with energy budget dynamics, such as radiative inputs, evapotranspiration and convective losses across the landscape. We hoped to determine whether functional relationships between landscape structure and temperature could be generalized, by examining patterns and relationships at multiple spatial scales and time periods during the day. The pattern of temperature varied between surface and soil temperature and among daily time periods. Wavelet variances indicated that no single scale dominated the pattern in temperature at any time, though values were highest at finest scales and at midday. Using general linear models, we explained 38% to 60% of the variation in temperature along the transect. Broad categorical variables describing the vegetation patch in which a point was located and the closest vegetation patch of a different type (landscape context) were important in models of both surface and soil temperature across time periods. Variables associated with slope and microtopography were more commonly incorporated into models explaining variation in soil temperature, whereas variables associated with vegetation or ground cover explained more variation in surface temperature. We examined correlations between wavelet transforms of temperature and vegetation (i.e., structural) pattern to determine whether these associations occurred at predictable scales or were consistent across time. Correlations between transforms characteristically had two peaks; one at finer scales of 100 to 150 m and one at broader scales of 〉300 m. These scales differed among times of day and between surface and soil temperatures. Our results indicate that temperature structure is distinct from vegetation structure and is spatially and temporally dynamic. There did not appear to be any single scale at which it was more relevant to study temperature or this pattern-process relationship, although the strongest relationships between vegetation structure and temperature occurred within a predictable range of scales. Forest managers and conservation biologists must recognize the dynamic relationship between temperature and structure across landscapes and incorporate the landscape elements created by temperature-structure interactions into management decisions.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1023/A:1008097011008
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  • 6
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    The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data (2020)
    In:  EPIC3Scientific Data, 7(1), ISSN: 2052-4463
    Details
    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
    Type: Article , isiRev
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  • 7
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    Estimation of high-resolution terrestrial evapotranspiration from Landsat data using a simple Taylor skill fusion method (2017)
    Elsevier
    In:  EPIC3Journal of Hydrology, Elsevier, 553, pp. 508-526, ISSN: 00221694
    Details
    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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  • 8
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    Seasonal patterns of canopy photosynthesis captured by remotely sensed sun-induced fluorescence and vegetation indexes in mid-to-high latitude forests : a cross-platform comparison (2018)
    Details
    Publication Date: 2022-05-25
    Description: © The Author(s), 2018. This is the author's version of the work and is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Science of The Total Environment 644 (2018): 439-451, doi:10.1016/j.scitotenv.2018.06.269.
    Description: Characterized by the noticeable seasonal patterns of photosynthesis, mid-to-high latitude forests are sensitive to climate change and crucial for understanding the global carbon cycle. To monitor the seasonal cycle of the canopy photosynthesis from space, several remote sensing based indexes, such as normalized difference vegetation index (NDVI), enhanced vegetation index (EVI) and leaf area index (LAI), have been implemented within the past decades. Recently, satellite-derived sun-induced fluorescence (SIF) has shown great potentials of providing retrievals that are more related to photosynthesis process. However, the potentials of different canopy measurements have not been thoroughly assessed in the context of recent advances of new satellites and proposals of improved indexes. Here, we present a cross-site intercomparison of one emerging remote sensing based index of phenological index (PI) and two SIF datasets against the conventional indexes of NDVI, EVI and LAI to capture the seasonal cycles of canopy photosynthesis. NDVI, EVI, LAI and PI were calculated from Moderate Resolution Imaging Spectroradiometer (MODIS) measurements, while SIF were evaluated from Global Ozone Monitoring Experiment-2 (GOME-2) and Orbiting Carbon Observatory-2 (OCO-2) observations. Results indicated that GOME-2 SIF was highly correlated with gross primary productivity (GPP) and absorbed photosynthetically active radiation (APAR) during the growing seasons. Key phenological metrics captured by SIF from GOME-2 and OCO-2 matched closely with photosynthesis phenology as inferred by GPP. However, the applications of OCO-2 SIF for phenological studies may be limited only for a small range of sites (at site-level) due to a limited spatial sampling. Among the MODIS estimations, PI and NDVI provided most reliable predictions of start of growing seasons, while no indexes accurately captured the end of growing seasons.
    Description: This work was supported by the Chinese Arctic and Antarctic Administration, National Natural Science Foundation of China (Grant Nos. 41676176 and 41676182), the Chinese Polar Environment Comprehensive Investigation, Assessment Program (Grant No. 312231103). This work was also supported by the Fundamental Research Funds for the 440 Central Universities
    Description: 2020-07-11
    Keywords: Phenology ; Remote sensing ; Photosynthesis ; OCO-2 ; SIF ; NDVI ; EVI ; PI ; LAI
    Repository Name: Woods Hole Open Access Server
    Type: Preprint
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  • 9
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    Evapotranspiration in Northern Eurasia : impact of forcing uncertainties on terrestrial ecosystem model estimates (2015)
    John Wiley & Sons
    Details
    Publication Date: 2022-05-26
    Description: Author Posting. © American Geophysical Union, 2015. This article is posted here by permission of American Geophysical Union for personal use, not for redistribution. The definitive version was published in Journal of Geophysical Research: Atmospheres 120 (2015): 2647–2660, doi:10.1002/2014JD022531.
    Description: The ecosystems in Northern Eurasia (NE) play an important role in the global water cycle and the climate system. While evapotranspiration (ET) is a critical variable to understand this role, ET over this region remains largely unstudied. Using an improved version of the Terrestrial Ecosystem Model with five widely used forcing data sets, we examine the impact that uncertainties in climate forcing data have on the magnitude, variability, and dominant climatic drivers of ET for the period 1979–2008. Estimates of regional average ET vary in the range of 241.4–335.7 mm yr−1 depending on the choice of forcing data. This range corresponds to as much as 32% of the mean ET. Meanwhile, the spatial patterns of long-term average ET across NE are generally consistent for all forcing data sets. Our ET estimates in NE are largely affected by uncertainties in precipitation (P), air temperature (T), incoming shortwave radiation (R), and vapor pressure deficit (VPD). During the growing season, the correlations between ET and each forcing variable indicate that T is the dominant factor in the north and P in the south. Unsurprisingly, the uncertainties in climate forcing data propagate as well to estimates of the volume of water available for runoff (here defined as P-ET). While the Climate Research Unit data set is overall the best choice of forcing data in NE according to our assessment, the quality of these forcing data sets remains a major challenge to accurately quantify the regional water balance in NE.
    Description: This research is supported by the NASA Land Use and Land Cover Change program (NASA- NNX09AI26G, NN-H-04-Z-YS-005-N, and NNX09AM55G); the Department of Energy (DE-FG02-08ER64599); the National Science Foundation (NSF-1028291, NSF-0919331, and AGS 0847472); and the NSF Carbon and Water in the Earth Program (NSF-0630319). D.G.M. acknowledges financial support from The Netherlands Organisation for Scientific Research (NWO) Veni grant 863.14.004
    Description: 2015-10-03
    Keywords: Evapotranspiration ; Northern Eurasia ; Terrestrial ecosystem model ; Climate reanalysis ; Forcing uncertainty
    Repository Name: Woods Hole Open Access Server
    Type: Article
    Format: application/pdf
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  • 10
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    ORCHIDEE-PEAT (revision 4596), a model for northern peatland CO2, water, and energy fluxes on daily to annual scales (2018)
    Copernicus Publications on behalf of the European Geosciences Union
    Details
    Publication Date: 2022-05-26
    Description: © The Author(s), 2018. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Geoscientific Model Development 11 (2018): 497-519, doi:10.5194/gmd-11-497-2018.
    Description: Peatlands store substantial amounts of carbon and are vulnerable to climate change. We present a modified version of the Organising Carbon and Hydrology In Dynamic Ecosystems (ORCHIDEE) land surface model for simulating the hydrology, surface energy, and CO2 fluxes of peatlands on daily to annual timescales. The model includes a separate soil tile in each 0.5° grid cell, defined from a global peatland map and identified with peat-specific soil hydraulic properties. Runoff from non-peat vegetation within a grid cell containing a fraction of peat is routed to this peat soil tile, which maintains shallow water tables. The water table position separates oxic from anoxic decomposition. The model was evaluated against eddy-covariance (EC) observations from 30 northern peatland sites, with the maximum rate of carboxylation (Vcmax) being optimized at each site. Regarding short-term day-to-day variations, the model performance was good for gross primary production (GPP) (r2 =  0.76; Nash–Sutcliffe modeling efficiency, MEF  =  0.76) and ecosystem respiration (ER, r2 =  0.78, MEF  =  0.75), with lesser accuracy for latent heat fluxes (LE, r2 =  0.42, MEF  =  0.14) and and net ecosystem CO2 exchange (NEE, r2 =  0.38, MEF  =  0.26). Seasonal variations in GPP, ER, NEE, and energy fluxes on monthly scales showed moderate to high r2 values (0.57–0.86). For spatial across-site gradients of annual mean GPP, ER, NEE, and LE, r2 values of 0.93, 0.89, 0.27, and 0.71 were achieved, respectively. Water table (WT) variation was not well predicted (r2 〈 0.1), likely due to the uncertain water input to the peat from surrounding areas. However, the poor performance of WT simulation did not greatly affect predictions of ER and NEE. We found a significant relationship between optimized Vcmax and latitude (temperature), which better reflects the spatial gradients of annual NEE than using an average Vcmax value.
    Description: This study was supported by the European Research Council Synergy grant ERC-2013-SyG- 610028 IMBALANCE-P.
    Repository Name: Woods Hole Open Access Server
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