| publications-701 |
PEER REVIEWED ARTICLE |
2012 |
Ramón Sala-Garrido , Francesc Hernández-Sancho , María Molinos-Senante |
Assessing the efficiency of wastewater treatment plants in an uncertain context: a DEA with tolerances approach |
|
10.1016/j.envsci.2011.12.012 |
IoT & Sensors |
Uncategorized |
|
No abstract available |
265213 |
|
|
|
| publications-702 |
PEER REVIEWED ARTICLE |
2011 |
F. Hernández-Sancho , M. Molinos-Senante , R. Sala-Garrido |
Techno-economical efficiency and productivity change of wastewater treatment plants: the role of internal and external factors |
|
10.1039/c1em10388a |
Simulation & Modeling |
Uncategorized |
|
No abstract available |
265213 |
|
|
|
| publications-703 |
PEER REVIEWED ARTICLE |
2013 |
M. Molinos-Senante , F. Hernández-Sancho , R. Sala-Garrido , G. Cirelli |
Economic feasibility study for intensive and extensive wastewater treatment considering greenhouse gases emissions |
|
10.1016/j.jenvman.2013.02.044 |
Simulation & Modeling |
Uncategorized |
|
No abstract available |
265213 |
|
|
|
| publications-704 |
PEER REVIEWED ARTICLE |
2013 |
M. Molinos-Senante , R. Reif , M. Garrido-Baserba , F. Hernández-Sancho , F. Omil , M. Poch , R. Sala-Garrido |
Economic valuation of environmental benefits of removing pharmaceutical and personal care products from WWTP effluents by ozonation |
|
10.1016/j.scitotenv.2013.05.009 |
AI & Machine Learning |
Uncategorized |
|
No abstract available |
265213 |
|
|
|
| publications-705 |
PEER REVIEWED ARTICLE |
2013 |
Monserrat Termes-Rifé , María Molinos-Senante , Francesc Hernández-Sancho , Ramón Sala-Garrido |
Life Cycle Costing: a tool to manage the urban water cycle |
|
10.2166/aqua.2013.110 |
IoT & Sensors |
Precipitation & Ecological Systems |
|
No abstract available |
265213 |
|
|
|
| publications-706 |
PEER REVIEWED ARTICLE |
2013 |
M. Molinos-Senante , F. Hernandez-Sancho , R. Sala-Garrido |
Cost modeling for sludge and waste management from wastewater treatment plants: an empirical approach for Spain |
|
10.1080/19443994.2013.770486 |
AI & Machine Learning |
Uncategorized |
|
No abstract available |
265213 |
|
|
|
| publications-707 |
PEER REVIEWED ARTICLE |
2015 |
S. Lebel , L. Fleskens , P. M. Forster , L. S. Jackson , S. Lorenz |
Evaluation of In Situ Rainwater Harvesting as an Adaptation Strategy to Climate Change for Maize Production in Rainfed Africa |
|
10.1007/s11269-015-1091-y |
IoT & Sensors |
Uncategorized |
|
No abstract available |
265570 |
|
|
|
| publications-708 |
PEER REVIEWED ARTICLE |
2013 |
Marc Cadotte , Cecile H. Albert , Steve C. Walker |
The ecology of differences: assessing community assembly with trait and evolutionary distances |
|
10.1111/ele.12161 |
AI & Machine Learning |
Uncategorized |
|
AbstractSpecies enter and persist in local communities because of their ecological fit to local conditions, and recently, ecologists have moved from measuring diversity as species richness and evenness, to using measures that reflect species ecological differences. There are two principal approaches for quantifying species ecological differences: functional (trait‐based) and phylogenetic pairwise distances between species. Both approaches have produced new ecological insights, yet at the same time methodological issues and assumptions limit them. Traits and phylogeny may provide different, and perhaps complementary, information about species' differences. To adequately test assembly hypotheses, a framework integrating the information provided by traits and phylogenies is required. We propose an intuitive measure for combining functional and phylogenetic pairwise distances, which provides a useful way to assess how functional and phylogenetic distances contribute to understanding patterns of community assembly. Here, we show that both traits and phylogeny inform community assembly patterns in alpine plant communities across an elevation gradient, because they represent complementary information. Differences in historical selection pressures have produced variation in the strength of the trait‐phylogeny correlation, and as such, integrating traits and phylogeny can enhance the ability to detect assembly patterns across habitats or environmental gradients. |
272284 |
|
|
|
| publications-709 |
PEER REVIEWED ARTICLE |
2013 |
Vincent Jung , Cécile H. Albert , Cyrille Violle , Georges Kunstler , Grégory Loucougaray , Thomas Spiegelberger |
Intraspecific trait variability mediates the response of subalpine grassland communities to extreme drought events |
|
10.1111/1365-2745.12177 |
IoT & Sensors |
Uncategorized |
|
Summary Climate change is expected to increase the magnitude and the frequency of extreme climatic events such as droughts. Better understanding how plant communities will respond to these droughts is a major challenge. We expect the response to be a shift in functional trait values resulting from both species turnover and intraspecific trait variability, but little research has addressed the relative contribution of both components. We analysed the short‐term functional response of subalpine grassland communities to a simulated drought by focusing on four leaf traits (LDMC: leaf dry matter content, SLA: specific leaf area, LNC: leaf nitrogen concentration and LCC: leaf carbon concentration). After evaluating species turnover and intraspecific variability separately, we determined their relative contribution in the community functional response to drought, reflected by changes in community‐weighted mean traits. We found significant species turnover and intraspecific variability, as well as significant changes in community‐weighted mean for most of the traits. The relative contribution of intraspecific variability to the changes in community mean traits was more important (42–99%) than the relative contribution of species turnover (1–58%). Intraspecific variability either amplified (for LDMC, SLA and LCC) or dampened (for LNC) the community functional response mediated by species turnover. We demonstrated that the small contribution of species turnover to the changes in community mean LDMC and LCC was explained by a lack of covariation between species turnover and interspecific trait differences. Synthesis. These results highlight the need for a better consideration of intraspecific variability to understand and predict the effect of climate change on plant communities. While both species turnover and intraspecific variability can be expected following an extreme drought, we report new evidence that intraspecific variability can be a more important driver of the short‐term functional response of plant communities. |
272284 |
|
|
|
| publications-710 |
PEER REVIEWED ARTICLE |
2013 |
Florian C. Boucher , Wilfried Thuiller , Cindy Arnoldi , Cécile H. Albert , Sébastien Lavergne |
Unravelling the architecture of functional variability in wild populations of |
|
10.1111/1365-2435.12034 |
IoT & Sensors |
Uncategorized |
|
Summary Functional variability (FV) of populations can be decomposed into three main features: the individual variability of multiple traits, the strength of correlations between those traits and the main direction of these correlations, the latter two being known as ‘phenotypic integration’. Evolutionary biology has long recognized that FV in natural populations is key to determining potential evolutionary responses, but this topic has been little studied in functional ecology. Here, we focus on the arctico‐alpine perennial plant species Polygonum viviparum L.. We used a comprehensive sampling of seven functional traits in 29 wild populations covering the whole environmental niche of the species. The niche of the species was captured by a temperature gradient, which separated alpine stressful habitats from species‐rich, competitive subalpine ones. We sought to assess the relative roles of abiotic stress and biotic interactions in shaping different aspects of functional variation within and among populations, that is, the multi‐trait variability, the strength of correlations between traits and the main directions of functional trade‐offs. Populations with the highest extent of functional variability were found in the warm end of the gradient, whereas populations exhibiting the strongest degree of phenotypic integration were located in sites with intermediate temperatures. This could reveal both the importance of environmental filtering and population demography in structuring FV. Interestingly, we found that the main axes of multivariate functional variation were radically different within and across population. Although the proximate causes of FV structure remain uncertain, our study presents a robust methodology for the quantitative study of functional variability in connection with species' niches. It also opens up new perspectives for the conceptual merging of intraspecific functional patterns with community ecology. |
272284 |
|
|
|
