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Selection: with tag model-comparison [20 articles] 


A multiscalar drought index sensitive to global warming: the standardized precipitation evapotranspiration index

Journal of Climate In Journal of Climate, Vol. 23, No. 7. (19 November 2009), pp. 1696-1718,


The authors propose a new climatic drought index: the standardized precipitation evapotranspiration index (SPEI). The SPEI is based on precipitation and temperature data, and it has the advantage of combining multiscalar character with the capacity to include the effects of temperature variability on drought assessment. The procedure to calculate the index is detailed and involves a climatic water balance, the accumulation of deficit/surplus at different time scales, and adjustment to a log-logistic probability distribution. Mathematically, the SPEI is similar to the ...


A multi-model assessment of the co-benefits of climate mitigation for global air quality

Environmental Research Letters, Vol. 11, No. 12. (01 December 2016), 124013,


We present a model comparison study that combines multiple integrated assessment models with a reduced-form global air quality model to assess the potential co-benefits of global climate mitigation policies in relation to the World Health Organization (WHO) goals on air quality and health. We include in our assessment, a range of alternative assumptions on the implementation of current and planned pollution control policies. The resulting air pollution emission ranges significantly extend those in the Representative Concentration Pathways. Climate mitigation policies complement ...


A cautionary note on the use of hypervolume kernel density estimators in ecological niche modelling

Global Ecology and Biogeography (August 2016),


Blonder et al. (2014, Global Ecology and Biogeography, 23, 595–609) introduced a new multivariate kernel density estimation (KDE) method to infer Hutchinsonian hypervolumes in the modelling of ecological niches. The authors argued that their KDE method matches or outperforms several methods for estimating hypervolume geometries and for conducting species distribution modelling. Further clarification, however, is appropriate with respect to the assumptions and limitations of KDE as a method for species distribution modelling. Using virtual species and controlled environmental scenarios, we show ...


The ability of climate envelope models to predict the effect of climate change on species distributions

Global Change Biology, Vol. 12, No. 12. (1 December 2006), pp. 2272-2281,


Climate envelope models (CEMs) have been used to predict the distribution of species under current, past, and future climatic conditions by inferring a species' environmental requirements from localities where it is currently known to occur. CEMs can be evaluated for their ability to predict current species distributions but it is unclear whether models that are successful in predicting current distributions are equally successful in predicting distributions under different climates (i.e. different regions or time periods). We evaluated the ability of CEMs ...


Sensitivity of burned area in Europe to climate change, atmospheric CO2 levels, and demography: a comparison of two fire-vegetation models

Journal of Geophysical Research: Biogeosciences, Vol. 120, No. 11. (1 November 2015), pp. 2256-2272,


Global environmental changes and human activity influence wildland fires worldwide, but the relative importance of the individual factors varies regionally and their interplay can be difficult to disentangle. Here we evaluate projected future changes in burned area at the European and sub-European scale, and we investigate uncertainties in the relative importance of the determining factors. We simulated future burned area with LPJ-GUESS-SIMFIRE, a patch-dynamic global vegetation model with a semi-empirical fire model, and LPJmL-SPITFIRE, a dynamic global vegetation model with a ...


A radiative transfer model-based method for the estimation of grassland aboveground biomass

International Journal of Applied Earth Observation and Geoinformation, Vol. 54 (February 2017), pp. 159-168,


[Highlights] [::] The PROSAILH radiative transfer model was presented to estimate grassland AGB. [::] The ill-posed inversion problem was alleviated by using the ecological criteria. [::] Multi-source satellite products were used to filter the unrealistic combinations of retrieved free parameters. [::] Three empirical methods were also used to estimate the grassland AGB. [Abstract] This paper presents a novel method to derive grassland aboveground biomass (AGB) based on the PROSAILH (PROSPECT + SAILH) radiative transfer model (RTM). Two variables, leaf area index (LAI, m2m−2, defined as a one-side ...


Comparison between energy balance and mass balance models for actual evapotranspiration assessment

In Remote Sensing for Agriculture, Ecosystems, and Hydrology XI, Vol. 7472 (2009), 747212,


The assessment of the water needs for a specific crop has a fundamental importance in the management of water resources. The application of empirical models able to retrieve estimates of the actual evapotranspiration (ETa) to assess the need for water could give a valid tool for the planning of water supply, avoiding unnecessary water losses. In this context, two independent models for estimating actual evapotranspiration were compared. The first model is based on an energy balance and uses remotely sensed data ...


The potential predictability of fire danger provided by numerical weather prediction

Journal of Applied Meteorology and Climatology (5 August 2016),


A global fire danger rating system driven by atmospheric model forcing has been developed with the aim of providing early warning information to civil protection authorities. The daily predictions of fire danger conditions are based on the US Forest Service National Fire Danger Rating System (NFDRS), the Canadian forest service Fire Weather Index Rating System (FWI) and the Australian McArthur (MARK-5) rating systems. Weather forcings are provided in real time by the European Centre for Medium range Weather Forecasts (ECMWF) forecasting ...


The effect of species geographical distribution estimation methods on richness and phylogenetic diversity estimates

International Journal of Geographical Information Science, Vol. 26, No. 11. (1 November 2012), pp. 2097-2109,


Diversity assessments are widely used in various fields of knowledge and rely on good estimates of species distribution. There are several methods available to estimate species distribution and the effect of using them is not clearly understood. In this research, we assess the effect of species distributions derived from four geographical distribution estimation methods on derived species richness and phylogenetic diversity (PD). We used the following four most common approaches to determine species geographical distributions: (1) range-wide occurrences are records of ...


(INRMM-MiD internal record) List of keywords of the INRMM meta-information database - part 21

(February 2014)
Keywords: inrmm-list-of-tags   mating-pattern   matlab   matsucoccus-feytaudi   mattesia-schwenkei   mature-forest   mauritia-flexuosa   maxent   mcpfe   meadow   meadows   mechanical-testing   mechanics   mechanistic-approach   medetera-signaticornis   median   mediawiki   medicago-arborea   medical-herb   medicinal-plants   mediterranean-pines   mediterranean-region   medium-resolution   megastigmus-brevicaudis   megastigmus-spp   megastigmus-wachtli   melaleuca-quinquenervia   melampsora   melampsora-larici-populina   melanophila-picta   melia-azedarach   melia-spp   melting-acceleration   memory   mercurialis-perennis   mercury   mersenne-twister   mesoamerica   mesophilous   mesophytic-species   mespilus-germanica   messerschmidia-argentea   meta-analysis   metadata   metadata-mining   metaknowledge   metaprogramming   metasequoia-glyptostroboides   meteorology   methane   methods   metopium-toxiferum   metrology   metrosideros-polymorpha   mexico   mic   micology   microalgae   microclimate   microsatellite   microsite   microsoft-academic-search   mid-holocene   middle-east   migration   migration-history   migration-rate   milicia-excelsa   millennium-ecosystem-assessment   milliferous-plant   min-max   mineralization   minimal-predicted-area   miocene   miridae   missing-full-author-list   mistletoe   mitigation   mitochondrial-dna   mixed-forest   mixed-models   mixed-species-stand   mobile-communication   mode   model   model-assessment   model-comparison   model-drift   modelling   modelling-uncertainty   modelling-vs-management   moderate-floods   modern-analogue   modis   modularization   moist-convection   molinia-caerulea   monetarisation   mongolia  


List of indexed keywords within the transdisciplinary set of domains which relate to the Integrated Natural Resources Modelling and Management (INRMM). In particular, the list of keywords maps the semantic tags in the INRMM Meta-information Database (INRMM-MiD). [\n] The INRMM-MiD records providing this list are accessible by the special tag: inrmm-list-of-tags ( ). ...


Are more complex physiological models of forest ecosystems better choices for plot and regional predictions?

Environmental Modelling & Software, Vol. 75 (January 2016), pp. 1-14,


[Highlights] [::] We evaluated performance of process-based forest ecosystem models. [::] A complex physiological model performed best at the plot scale. [::] A hybrid empirical-physiological model performed best at the regional scale. [Abstract] We evaluated performance of process-based forest ecosystem models. A complex physiological model performed best at the plot scale. A hybrid empirical-physiological model performed best at the regional scale. Process-based forest ecosystem models vary from simple physiological, complex physiological, to hybrid empirical-physiological models. Previous studies indicate that complex models provide the best prediction at ...


Assessing crown fire potential in coniferous forests of western North America: a critique of current approaches and recent simulation studies

International Journal of Wildland Fire, Vol. 19, No. 4. (2010), 377,


To control and use wildland fires safely and effectively depends on creditable assessments of fire potential, including the propensity for crowning in conifer forests. Simulation studies that use certain fire modelling systems (i.e. NEXUS, FlamMap, FARSITE, FFE-FVS (Fire and Fuels Extension to the Forest Vegetation Simulator), Fuel Management Analyst (FMAPlus®), BehavePlus) based on separate implementations or direct integration of Rothermel’s surface and crown rate of fire spread models with Van Wagner’s crown fire transition and propagation models are shown to have ...


An appraisal of downscaling methods used in climate change research

WIREs Clim Change, Vol. 6, No. 3. (1 March 2015), pp. 301-319,


The term ‘downscaling’ refers to the process of translating information from global climate model simulations to a finer spatial resolution. There are numerous methods by which this translation of information can occur. For users of downscaled information, it is important to have some understanding of the properties of different methods (in terms of their capabilities and limitations to convey the change signal, as simulated by the global model), as these dictate the type of applications that the downscaled information can be ...


Does the interpolation accuracy of species distribution models come at the expense of transferability?

Ecography, Vol. 35, No. 3. (March 2012), pp. 276-288,


Model transferability (extrapolative accuracy) is one important feature in species distribution models, required in several ecological and conservation biological applications. This study uses 10 modelling techniques and nationwide data on both (1) species distribution of birds, butterflies, and plants and (2) climate and land cover in Finland to investigate whether good interpolative prediction accuracy for models comes at the expense of transferability – i.e. markedly worse performance in new areas. Models’ interpolation and extrapolation performance was primarily assessed using AUC (the ...


Evaluation of modelled spatially distributed predictions of soil erosion by water versus field-based assessments

Environmental Science & Policy, Vol. 8, No. 5. (October 2005), pp. 493-501,


Policy makers concerned about soil erosion and its impacts need good quality information on which to base their decisions. There is a trend toward using erosion models to aid such decision making. Such models are based on data obtained from experimental plots. The theoretical results need to be compared with information gained from monitoring erosion in the field to assess if theory accords with reality. Data from the Minimum Information Requirement version of the Water Erosion Prediction Project model (MIRSED) are ...


Modelling runoff and soil erosion in logged forests: Scope and application of some existing models

CATENA, Vol. 67, No. 1. (August 2006), pp. 35-49,


Predictive erosion models are useful tools for evaluating the impact of land-use practices on soil and water properties, and as often used by environmental protection authorities, for setting guidelines and standards for regulation purposes. This study examines the application of three erosion models of varying complexity and design for predicting runoff and soil erosion from logged forest compartments in south eastern Australia. These are: the Universal Soil Loss Equation (USLE), the Water Erosion Prediction Project (WEPP), and TOPOG, a physically based ...


Approximation and spatial regionalization of rainfall erosivity based on sparse data in a mountainous catchment of the Yangtze River in Central China

Environmental Science and Pollution Research In Environmental Science and Pollution Research, Vol. 20, No. 10. (2013), pp. 6917-6933,


In densely populated countries like China, clean water is one of the most challenging issues of prospective politics and environmental planning. Water pollution and eutrophication by excessive input of nitrogen and phosphorous from nonpoint sources is mostly linked to soil erosion from agricultural land. In order to prevent such water pollution by diffuse matter fluxes, knowledge about the extent of soil loss and the spatial distribution of hot spots of soil erosion is essential. In remote areas such as the mountainous ...


Novel methods improve prediction of species' distributions from occurrence data

Ecography, Vol. 29, No. 2. (1 April 2006), pp. 129-151,


Prediction of species’ distributions is central to diverse applications in ecology, evolution and conservation science. There is increasing electronic access to vast sets of occurrence records in museums and herbaria, yet little effective guidance on how best to use this information in the context of numerous approaches for modelling distributions. To meet this need, we compared 16 modelling methods over 226 species from 6 regions of the world, creating the most comprehensive set of model comparisons to date. We used presence-only ...


A comparison of tropical carbon maps



[Excerpt] This site uses Ecometrica's Our Ecosystem to dynamically compare maps of aboveground carbon (carbon stored in woody vegetation). Currently we compare two pantropical data sets, but we hope to add many more global, regional and small-scale data sets soon. The site has advanced functionality allowing the carbon maps to be viewed and compared at a full range of resolutions, and for a specific area of interest to be queried to view the different carbon stocks predicted by the maps, partitioned into ...


A comparison of WEPP and SWAT for modeling soil erosion of the Zhangjiachong Watershed in the Three Gorges Reservoir Area

Agricultural Water Management, Vol. 96, No. 10. (October 2009), pp. 1435-1442,


Soil and water conservation is important for the Three Gorges Reservoir Area in China, and quantification of soil loss is a significant issue. In this study, two widely used models – the Water Erosion Prediction Project (WEPP) and the Soil and Water Assessment Tool (SWAT) – were applied to simulate runoff and sediment yield for the Zhangjiachong Watershed in the Three Gorges Reservoir Area. The models were run and the simulated runoff and sediment yield values were compared with the measured ...

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Integrated Natural Resources Modelling and Management - Meta-information Database.

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Meta-information Database (INRMM-MiD).
This database integrates a dedicated meta-information database in CiteULike (the CiteULike INRMM Group) with the meta-information available in Google Scholar, CrossRef and DataCite. The Altmetric database with Article-Level Metrics is also harvested. Part of the provided semantic content (machine-readable) is made even human-readable thanks to the DCMI Dublin Core viewer. Digital preservation of the meta-information indexed within the INRMM-MiD publication records is implemented thanks to the Internet Archive.
The library of INRMM related pubblications may be quickly accessed with the following links.
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Full-text and abstracts of the publications indexed by the INRMM meta-information database are copyrighted by the respective publishers/authors. They are subject to all applicable copyright protection. The conditions of use of each indexed publication is defined by its copyright owner. Please, be aware that the indexed meta-information entirely relies on voluntary work and constitutes a quite incomplete and not homogeneous work-in-progress.
INRMM-MiD was experimentally established by the Maieutike Research Initiative in 2008 and then improved with the help of several volunteers (with a major technical upgrade in 2011). This new integrated interface is operational since 2014.