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Selection: with tag environmental-predictors [26 articles] 


New temperature-based models for predicting global solar radiation

Applied Energy, Vol. 179 (October 2016), pp. 437-450,


[Highlights] [::] New temperature-based models for estimating solar radiation are investigated. [::] The models are validated against 20-years measured data of global solar radiation. [::] The new temperature-based model shows the best performance for coastal sites. [::] The new temperature-based model is more accurate than the sunshine-based models. [::] The new model is highly applicable with weather temperature forecast techniques. [Abstract] This study presents new ambient-temperature-based models for estimating global solar radiation as alternatives to the widely used sunshine-based models owing to the unavailability of sunshine data at ...


Mapping wood production in European forests

Forest Ecology and Management, Vol. 357 (December 2015), pp. 228-238,


[Highlights] [::] We constructed high-resolution wood production maps for Europe. [::] Productivity, tree species and ruggedness affect wood production patterns. [::] Using these factors improves disaggregation of wood production statistics. [Abstract] Wood production is an important forest use, impacting a range of other ecosystem services. However, information on the spatial patterns in wood production is limited and often available only for larger administrative units. In this study, we developed high-resolution wood production maps for European forests. We collected wood production statistics for 29 European countries from ...


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 ...


Equality in maternal and newborn health: modelling geographic disparities in utilisation of care in five East African countries

PLoS ONE, Vol. 11, No. 8. (25 August 2016), e0162006,


Geographic accessibility to health facilities represents a fundamental barrier to utilisation of maternal and newborn health (MNH) services, driving historically hidden spatial pockets of localized inequalities. Here, we examine utilisation of MNH care as an emergent property of accessibility, highlighting high-resolution spatial heterogeneity and sub-national inequalities in receiving care before, during, and after delivery throughout five East African countries. We calculated a geographic inaccessibility score to the nearest health facility at 300 x 300 m using a dataset of 9,314 facilities ...


Advances in mapping malaria for elimination: fine resolution modelling of Plasmodium falciparum incidence

Scientific Reports, Vol. 6 (13 July 2016), 29628,


The long-term goal of the global effort to tackle malaria is national and regional elimination and eventually eradication. Fine scale multi-temporal mapping in low malaria transmission settings remains a challenge and the World Health Organisation propose use of surveillance in elimination settings. Here, we show how malaria incidence can be modelled at a fine spatial and temporal resolution from health facility data to help focus surveillance and control to population not attending health facilities. Using Namibia as a case study, we ...


Correlations between components of the water balance and burned area reveal new insights for predicting forest fire area in the southwest United States

International Journal of Wildland Fire, Vol. 24, No. 1. (2015), 14,


We related measurements of annual burned area in the southwest United States during 1984–2013 to records of climate variability. Within forests, annual burned area correlated at least as strongly with spring–summer vapour pressure deficit (VPD) as with 14 other drought-related metrics, including more complex metrics that explicitly represent fuel moisture. Particularly strong correlations with VPD arise partly because this term dictates the atmospheric moisture demand. Additionally, VPD responds to moisture supply, which is difficult to measure and model regionally due to ...


Near-global freshwater-specific environmental variables for biodiversity analyses in 1 km resolution

Scientific Data, Vol. 2 (8 December 2015), 150073,


The lack of freshwater-specific environmental information at sufficiently fine spatial grain hampers broad-scale analyses in aquatic biology, biogeography, conservation, and ecology. Here we present a near-global, spatially continuous, and freshwater-specific set of environmental variables in a standardized 1 km grid. We delineate the sub-catchment for each grid cell along the HydroSHEDS river network and summarize the upstream climate, topography, land cover, surface geology and soil to each grid cell using various metrics (average, minimum, maximum, range, sum, inverse distance-weighted average and sum). ...


An assessment of methods and remote-sensing derived covariates for regional predictions of 1 km daily maximum air temperature

Remote Sensing, Vol. 6, No. 9. (16 September 2014), pp. 8639-8670,


The monitoring and prediction of biodiversity and environmental changes is constrained by the availability of accurate and spatially contiguous climatic variables at fine temporal and spatial grains. In this study, we evaluate best practices for generating gridded, one-kilometer resolution, daily maximum air temperature surfaces in a regional context, the state of Oregon, USA. Covariates used in the interpolation include remote sensing derived elevation, aspect, canopy height, percent forest cover and MODIS Land Surface Temperature (LST). Because of missing values, ...


Collinearity: a review of methods to deal with it and a simulation study evaluating their performance

Ecography, Vol. 36, No. 1. (1 January 2013), pp. 27-46,


Collinearity refers to the non independence of predictor variables, usually in a regression-type analysis. It is a common feature of any descriptive ecological data set and can be a problem for parameter estimation because it inflates the variance of regression parameters and hence potentially leads to the wrong identification of relevant predictors in a statistical model. Collinearity is a severe problem when a model is trained on data from one region or time, and predicted to another with a different or ...

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A robust algorithm for estimating soil erodibility in different climates

CATENA, Vol. 97 (October 2012), pp. 85-94,


The analysis of global soil erodibility data by Salvador Sanchis et al. (2008) showed that there is a significant climate effect on soil erodibility which allows for a split of the data into two subsets, one for prevailing cool conditions and another for prevailing warm conditions (defined using the Köppen climate classification). Despite the recognition of this new dichotomous variable, prediction of soil erodibility values remained very poor. This paper presents a new technique for dealing with such a variability by ...


A statistical explanation of MaxEnt for ecologists

Diversity and Distributions, Vol. 17, No. 1. (1 January 2011), pp. 43-57,


MaxEnt is a program for modelling species distributions from presence-only species records. This paper is written for ecologists and describes the MaxEnt model from a statistical perspective, making explicit links between the structure of the model, decisions required in producing a modelled distribution, and knowledge about the species and the data that might affect those decisions. To begin we discuss the characteristics of presence-only data, highlighting implications for modelling distributions. We particularly focus on the problems of sample bias and lack ...


Improving the prediction of plant species distribution and community composition by adding edaphic to topo-climatic variables

Journal of Vegetation Science, Vol. 24, No. 4. (1 July 2013), pp. 593-606,


Questions Soil properties have been widely shown to influence plant growth and distribution. However, the degree to which edaphic variables can improve models based on topo-climatic variables is still unclear. In this study, we tested the roles of seven edaphic variables, namely (1) pH; (2) the content of nitrogen and of (3) phosphorus; (4) silt; (5) sand; (6) clay and (7) carbon-to-nitrogen ratio, as predictors of species distribution models in an edaphically heterogeneous landscape. We also tested how the respective influence ...


Development of topsoil grain size index for monitoring desertification in arid land using remote sensing

International Journal of Remote Sensing, Vol. 27, No. 12. (1 June 2006), pp. 2411-2422,


The grain size composition of topsoil characterizes the soil texture and other physical properties. The coarsening of topsoil grain size is a visible symbol of land degradation; thereby the change in topsoil grain size can be potentially used to monitor desertification using remote sensing. This study proposes a new index for detecting topsoil grain size composition through ground in situ soil spectral reflectance measurements and soil physical analysis in the laboratory. The proposed topsoil grain size index (GSI), which has a ...


(INRMM-MiD internal record) List of keywords of the INRMM meta-information database - part 12

(February 2014)
Keywords: endangered-species   endemic-species   endophtic-fungi   energy   energy-consumption   engineering   england   english   enological-parameters   ensemble   enso   enterolobium-cyclocarpum   entransy   entropy   environment-society-economy   environmental-factors   environmental-modelling   environmental-policy   environmental-predictors   envisat-asar   enzykl-holzgew-handb-atlas-dendrol   ephedra-distachya   epinotia-solandriana   epirrita-autumnata   epistemology   eppo   equador   equity   erica-arborea   erica-australis   erica-spp   erica-tetralix   erica-vagans   erodibility   erosion   erosivity   error-clustering   error-spatial-correlation   errors   erwinia-salicis   eryobotria-japonica   erythrina-abyssinica   erythrina-poeppigiana   erythrina-sandwicensis   erythrina-variegata   escarpment   esdac   essential-oils   estonia   ethics   eu-27   eucaliptus-camaldulensis   eucalyptus-citriodora   eucalyptus-coccifera   eucalyptus-diversicolor   eucalyptus-globulus   eucalyptus-gunii   eucalyptus-nitens   eucalyptus-regnans   eucalyptus-spp   euclystis-spp   eucryphia-cordifolia   eugenia-malaccensis   euonymus-europaea   euonymus-europaeus   euonymus-latifolia   euonymus-spp   euonymus-verrucosa   euproctis-chrysorrhoea   europe   europe-2020   european-black-poplar   european-commission   european-conifer   european-council   european-parliament   european-research-council   european-soil-data-centre   european-union   euterpe-oleracea   eutrophication   evaporation   evapotranspiration   even-aged-forest   evergreen   evolution   evolutionary-techniques   evolutionary-tools   evonymus-europaea   ex-situ-conservation   exotic-plants   expat   experimental-approach   experimental-mathematics   expert-judgement   expert-systems   extinction   inrmm-list-of-tags  


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 ( ). ...


Understanding Earth’s eroding surface with 10Be

GSA Today, Vol. 21, No. 8. (August 2011), pp. 4-10,


For more than a century, geologists have sought to measure the distribution of erosion rates on Earth's dynamic surface. Since the mid-1980s, measurements of in situ 10Be, a cosmogenic radionuclide, have been used to estimate outcrop and basin-scale erosion rates at 87 sites around the world. Here, we compile, normalize, and compare published 10Be erosion rate data (n = 1599) in order to understand how, on a globalscale, geologic erosion rates integrated over 103 to 106 years varybetween climate zones, tectonic ...


Hazard Assessment of Debris Flows by Credal Networks

In iEMSs 2004 International Congress: "Complexity and Integrated Resources Management" (2004)


Debris flows are destructive natural hazards that affect human life, buildings, and infrastructures. Despite their importance, debris flows are only partially understood, and human expertise still plays a key role for hazard identification. This paper proposes filling the modelling gap by using credal networks, an imprecise-probability model. The model uses a directed graph to capture the causal relationships between the triggering factors of debris flows. Quantitative influences are represented by probability intervals, determined from historical data, expert knowledge, and theoretical models. ...


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 ...


Predicting species distribution: offering more than simple habitat models

Ecology Letters, Vol. 8, No. 9. (1 September 2005), pp. 993-1009,


In the last two decades, interest in species distribution models (SDMs) of plants and animals has grown dramatically. Recent advances in SDMs allow us to potentially forecast anthropogenic effects on patterns of biodiversity at different spatial scales. However, some limitations still preclude the use of SDMs in many theoretical and practical applications. Here, we provide an overview of recent advances in this field, discuss the ecological principles and assumptions underpinning SDMs, and highlight critical limitations and decisions inherent in the construction ...


Latitudinal gradients as natural laboratories to infer species' responses to temperature

Journal of Ecology, Vol. 101, No. 3. (1 May 2013), pp. 784-795,


* Macroclimatic variation along latitudinal gradients provides an excellent natural laboratory to investigate the role of temperature and the potential impacts of climate warming on terrestrial organisms. * Here, we review the use of latitudinal gradients for ecological climate change research, in comparison with altitudinal gradients and experimental warming, and illustrate their use and caveats with a meta-analysis of latitudinal intraspecific variation in important life-history traits of vascular plants. * We first provide an overview of latitudinal patterns in temperature and ...


Climate change-driven species' range shifts filtered by photoperiodism

Nature Climate Change, Vol. 2, No. 4. (28 March 2012), pp. 239-242,


Forecasts of species range shifts as a result of climate change are essential, because invasions by exotic species shape biodiversity and therefore ecosystem functions and services. Ecologists have focused on propagule pressure (for example, the number of individuals and invasion events), the characteristics of an invading species, and its new abiotic and biotic environment to predict the likelihood of range expansion and invasion. Here, we emphasize the role of photoperiodic response on the range expansion of species. Unlike temperature, the latitudinal ...


Comment on “Climatic Niche Shifts Are Rare Among Terrestrial Plant Invaders”

Science, Vol. 338, No. 6104. (12 October 2012), pp. 193-193,


Petitpierre et al. (Reports, 16 March 2012, p. 1344) conclude that niche shifts are rare for terrestrial plant invaders and that this justifies the use of correlative modeling to project species geographic ranges for biological invasions and climate change. We draw attention to the limitations of their conceptual assumptions and the importance of niche shifts excluded from their analyses. ...


Response to Comment on “Climatic Niche Shifts Are Rare Among Terrestrial Plant Invaders”

Science, Vol. 338, No. 6104. (12 October 2012), pp. 193-193,


Webber et al. take a critical view of our findings that niche expansions are rare in plant invaders, arguing mainly that we did not include nonanalog climates in our analyses. Yet, their concerns include misunderstandings and go beyond the scope of our study, which was purposely restricted to analog climates. We further explain why our results remain robust to other factors of niche dynamics in the native range. We conclude that the implications of our findings remain valid for projections of ...


Climatic Niche Shifts Are Rare Among Terrestrial Plant Invaders

Science, Vol. 335, No. 6074. (16 March 2012), pp. 1344-1348,


The assumption that climatic niche requirements of invasive species are conserved between their native and invaded ranges is key to predicting the risk of invasion. However, this assumption has been challenged recently by evidence of niche shifts in some species. Here, we report the first large-scale test of niche conservatism for 50 terrestrial plant invaders between Eurasia, North America, and Australia. We show that when analog climates are compared between regions, fewer than 15% of species have more than 10% of ...


Sensitivity of French temperate coniferous forests to climate variability and extreme events (Abies alba, Picea abies and Pinus sylvestris)

Journal of Vegetation Science, Vol. 21, No. 2. (2010), pp. 364-376,


Questions: (1) How do extreme climatic events and climate variability influence radial growth of conifers (silver fir, Norway spruce, Scots pine)? (2) How do elevation and soil water capacity (SWC) modulate sensitivity to climate? Location: The sampled conifer stands are in France, in western lowland and mountain forests, at elevations from 400 to 1700 m, and an SWC from 50 to 190 mm. Methods: We established stand chronologies for total ring width, earlywood and latewood width for the 33 studied ...


Environmental factors related to damage by Heterobasidion abietinum in Abies alba forests in Southern Italy

Forest Ecology and Management, Vol. 180, No. 1-3. (July 2003), pp. 37-44,


A study was carried out in southern Italy to determine the role of some factors in favouring Heterobasidion annosum s. l. spread and damage in eight Silver-fir (Abies alba Mill.) forests. All the studied stands were colonised by H. abietinum. The presence of the fungus (as carpophores on colonised wood) was detected by means of transects and varied from 7.0 to 56.0% of trees. Stand history, precipitation and forest origin, analysed by the Ï2-test, had a significant effect on rot severity. ...


Species richness patterns in the understorey of Pyrenean Pinus sylvestris forest

Journal of Vegetation Science, Vol. 5, No. 4. (1994), pp. 517-524,


Abstract. Species richness was studied in the understorey of natural Pinus sylvestris forest in the eastern Pyrenees. Understorey plant species were grouped in three structural groups as woody species, herbs and mosses. The response curves of total species richness and species richness of each structural group were fitted against environmental and stand-structural parameters, using Generalized Linear Models. The results suggested that, to predict species richness, environmental parameters were more important than tree-canopy structural parameters, in particular incoming radiation and soil ...

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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.