Consulta: subjectFacets:"Extrapolation"
Registros recuperados: 7
Data/hora: 02/06/2024 15:37:27

The Rauischholzhausen Agenda for Road Ecology
Provedor de dados: 7
Autores: Roedenbeck, Inga A.; University of Giessen; inga.roedenbeck@agrar.uni-giessen.de; Fahrig, Lenore; Carleton University; lenore_fahrig@carleton.ca; Findlay, C. Scott; University of Ottawa; sfindlay@science.uottawa.ca; Houlahan, Jeff E; University of New Brunswick at Saint John; jeffhoul@unbsj.ca; Jaeger, Jochen A. G.; Concordia University; jochen.jaeger@env.ethz.ch; Kramer-Schadt, Stephanie; UFZ Centre for Environmental Research Leipzig-Halle; stephanie.kramer@ufz.de; van der Grift, Edgar A; ALTERRA Wageningen; edgar.vandergrift@wur.nl.
Despite the documented negative effects of roads on wildlife, ecological research on road effects has had comparatively little influence on road planning decisions. We argue that road research would have a larger impact if researchers carefully considered the relevance of the research questions addressed and the inferential strength of the studies undertaken. At a workshop at the German castle of Rauischholzhausen we identified five particularly relevant questions, which we suggest provide the framework for a research agenda for road ecology: (1) Under what circumstances do roads affect population persistence? (2) What is the relative importance of road effects vs. other effects on population persistence? (3) Under what circumstances can road effects be...
Tipo: Peer-Reviewed Insight
Palavras-chave: Road ecology; Research agenda; Experimental design; Hierarchy of study designs; Methodological standard; Before-after-control-impact design; Before-after design; Control-impact design; Inferential strength; Weight of evidence; Uncertainty; Landscape scale; Extrapolation; Population persistence; Road networks; Road effects; Mitigation; Decision making.
Ano: 2007

Assessing Risks to Wildlife Populations from Multiple Stressors: Overview of the Problem and Research Needs.
Provedor de dados: 7
Autores: Munns, Jr., Wayne R.; U.S. Environmental Protection Agency; munns.wayne@epa.gov.
Wildlife populations are experiencing increasing pressure from human-induced changes in the landscape. Stressors including agricultural and urban land use, introduced invasive and exotic species, nutrient enrichment, direct human disturbance, and toxic chemicals directly or indirectly influence the quality and quantity of habitat used by terrestrial and aquatic wildlife. Governmental agencies such as the U.S. Environmental Protection Agency are required to assess risks to wildlife populations, in its broadest definition, that result from exposure to these stressors, yet considerable uncertainty exists with respect to how such assessments should be conducted. This uncertainty is compounded by questions concerning the interactive effects of co-occurring...
Tipo: Peer-Reviewed article
Palavras-chave: Ecological risk assessment; Multiple stressors; Wildlife populations; Extrapolation; Population models; Research needs.
Ano: 2006

Testing the transferability of track-based habitat models for sound marine spatial planning
Provedor de dados: 5
Autores: Peron, Clara; Authier, Matthieu; Gremillet, David.
Aim Species distribution models (SDMs) are statistical tools aiming at mapping and predicting species distributions across landscapes. Data acquisition being limited in space and time, SDM are commonly used to predict species distribution in unsampled areas or years, with the expectation that modelled habitat-species relationships will hold across spatial or temporal contexts (i.e., model transferability). This key aspect of habitat modelling has major implications for spatial management, yet it has received limited attention, especially in the dynamic marine realm. Our aims were to test geographical and temporal habitat model transferability and to make recommendations for future population-scale habitat modelling. Location Methods Two contrasted regions...
Tipo: Text
Palavras-chave: Biologging; Central-place foragers; Extrapolation; Habitat modelling; Seabirds; Transferability.
Ano: 2018
URL: https://archimer.ifremer.fr/doc/00470/58174/75133.pdf

dsmextra: Extrapolation assessment tools for density surface models
Provedor de dados: 5
Autores: Bouchet, Pj; Miller, Dl; Roberts, Jj; Mannocci, Laura; Harris, Cm; Thomas, L.
Forecasting the responses of biodiversity to global change has never been more important. However, many ecologists faced with limited sample sizes and shoestring budgets often resort to extrapolating predictive models beyond the range of their data to support management actions in data‐deficient contexts. This can lead to error‐prone inference that has the potential to misdirect conservation interventions and undermine decision‐making. Despite the perils associated with extrapolation, little guidance exists on the best way to identify it when it occurs, leaving users questioning how much credence they should place in model outputs. To address this, we present dsmextra, a new R package for measuring, summarising, and visualising extrapolation in...
Tipo: Text
Palavras-chave: Cetaceans; Distance sampling; Ecological predictions; Extrapolation; Model transferability; R package; Spatial modelling; Wildlife surveys.
Ano: 2020
URL: https://archimer.ifremer.fr/doc/00643/75485/76332.pdf

EXPAMOD: A methodological Tool for Linking Farm and Market Models by Means of Econometric Response Functions
Provedor de dados: 31
Autores: Perez Dominguez,   Ignacio; Bezlepkina,   Irina V.; Heckelei,   Thomas; Oude Lansink,   Alfons G.J.M.; Romstad,   Eirik; Kanellopoulos,   Argyris.
Technical change at the farm level or changes in input prices often entail that the firm's supply function changes. These changes can take place in numerous ways. This paper presents a methodology that increases the consistency in supply responses across various sets of agricultural products and farm types with a market model based on a statistical response function approach. Since most farm simulation models are limited to a subset of regions and farm types, the linkage to an aggregated model requires a procedure for expanding these results to non sample regions, so that full regional coverage is achieved. This paper addresses theoretical aspects related to the consistency between micro and market level models. Next it deals with some empirical findings...
Tipo: Conference Paper or Presentation
Palavras-chave: Farm models; Market models; Extrapolation; Farm Management.
Ano: 2008
URL: http://purl.umn.edu/43838

Extrapolation in Games of Coordination and Dominance Solvable Games
Provedor de dados: 31
Autores: Mengel,   Friederike; Sciubba,   Emanuela.
We study extrapolation between games in a laboratory experiment. Participants in our experiment first play either the dominance solvable guessing game or a Coordination version of the guessing game for five rounds. Afterwards they play a 3x3 normal form game for ten rounds with random matching which is either a game solvable through iterated elimination of dominated strategies (IEDS), a pure Coordination game or a Coordination game with pareto ranked equilibria. We find strong evidence that participants do extrapolate between games. Playing a strategically different game hurts compared to the control treatment where no guessing game is played before and in fact impedes convergence to Nash equilibrium in both the 3x3 IEDS and the Coordination games. Playing...
Tipo: Working or Discussion Paper
Palavras-chave: Game Theory; Learning; Extrapolation; Research Methods/ Statistical Methods; C72; C91.
Ano: 2010
URL: http://purl.umn.edu/98475

Acute silver toxicity to Cnesterodon decemmaculatus (Pisces: Poeciliidae) in a river with extreme water-quality characteristics
Provedor de dados: 40
Autores: Casares,María Victoria; de Cabo,Laura I; Seoane,Rafael; Natale,Oscar.
Abstract. A 96 h acute silver toxicity test was performed in order to determine silver toxicity (LC50) to a local fish species (Cnesterodon decemmaculatus) in a river with extreme water-quality characteristics (Pilcomayo River, South America) and evaluate a cross-fish-species extrapolation of the Biotic Ligand Model. The dissolved silver concentrations tested were 0.095, 0.148, 0.175 and 0.285 mg Ag L&amp;#8722;1. The 96 h Ag LC50 calculated for C. decemmaculatus was 0.14 mg L&amp;#8722;1 (0.18 - 0.10) and the value predicted by BLM for Pimephales promelas was 0.051 mg Ag L&amp;#8722;1. Test water elevated hardness may have exerted some protective effect. High mean water pH may have exerted a major protective effect by reducing silver free ion form and...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Silver; Cnesterodon decemmaculatus; Biotic Ligand Model; Extrapolation.
Ano: 2013
URL: http://www.scielo.org.ar/scielo.php?script=sci_arttext&pid=S1851-37432013000200004