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| Registros recuperados: 15 | |
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| Marcot, Bruce G; USDA Forest Service; bmarcot@fs.fed.us. |
| The Northwest Forest Plan in the Pacific Northwest, United States includes directives for survey and site protection of hundreds of rare species across many taxonomic classes. To help direct survey activities, prioritize sites, and stand conditions for conservation of these species, I developed Bayesian belief network (BBN) models of habitat relationships and multiple stressors predicting presence of 12 rare species, and I present an example of predicting presence and absence of a rare fungus. The BBN models are developed along a rigorous process of expert judgment, peer review, reconciliation, accuracy testing, and incremental updating with known site data and validation data. Management implications of prediction errors are discussed. |
| Tipo: Peer-Reviewed Reports |
Palavras-chave: Bayesian belief networks; Bridgeoporus nobilissimus; Model validation; Northwest Forest Plan; Rare species models; Pacific Northwest.. |
| Ano: 2006 |
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| Diersen, Matthew A.; Taylor, Gary. |
| During the 2002 drought, farm sector economic factors were monitored to assess the likely statewide economic impacts. Timely moisture during the spring of 2003 resulted in a sizeable wheat harvest relative to recent years. Prices in the fall of 2003 resulted in a sizeable wheat harvest relative to recent years. Prices in the fall of 2003 have also been significantly higher for cattle and soybeans compared to prices in recent years. As a result, there have been inquiries as to the extent of economic recovery in the farm sector of South Dakota. The purpose of this paper is to outline the estimation procedure used to assess the drought in 2002, validate the extent of the impact, and discuss potential mitigating effects observed during 2003. The results... |
| Tipo: Working or Discussion Paper |
Palavras-chave: Drought impacts; Farm sector; Multiplier effects; Model validation; Resource /Energy Economics and Policy. |
| Ano: 2003 |
URL: http://purl.umn.edu/32028 |
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| CARVALHO,JULIANA O. DE; TOEBE,MARCOS; TARTAGLIA,FRANCIELI L.; BANDEIRA,CIRINEU T.; TAMBARA,ANDRÉ L.. |
| ABSTRACT The goal of this study was to estimate the leaf area of Crotalaria juncea according to the linear dimensions of leaves from different ages. Two experiments were conducted with C. juncea cultivar IAC-KR1, in the 2014/2015 sowing seasons. At 59, 82, 102, 129 days after sowing (DAS) of the first and 61, 80, 92, 104 DAS of the second experiment, 500 leaves were collected, totaling 4,000 leaves. In each leaf, the linear dimensions were measured (length, width, length/width ratio and length × width product) and the specific leaf area was determined through Digimizer and Sigma Scan Pro software, after scanning images. Then, 3,200 leaves were randomly separated to generate mathematical models of leaf area (Y) in function of linear dimension (x), and 800... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Non-destructive method; Image processing; Mathematical models; Model validation. |
| Ano: 2017 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652017000401851 |
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| Ferraz Filho,Antonio Carlos; Scolforo,José Roberto Soares; Oliveira,Antonio Donizette de; Mello,José Márcio de. |
| Abstract:The objective of this work was to develop and validate a prognosis system for volume yield and basal area of intensively managed loblolly pine (Pinus taeda) stands, using stand and diameter class models compatible in basal area estimates. The data used in the study were obtained from plantations located in northern Uruguay. For model validation without data loss, a three-phase validation scheme was applied: first, the equations were fitted without the validation database; then, model validation was carried out; and, finally, the database was regrouped to recalibrate the parameter values. After the validation and final parameterization of the models, a simulation of the first commercial thinning was carried out. The developed prognosis system was... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Pinus taeda; Model validation; Prognosis system; Pruning; Sawtimber; Thinning. |
| Ano: 2015 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2015000800707 |
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| Monbet, Valérie; Ailliot, P; Prevosto, Marc. |
| The knowledge of sea state and wind conditions is of central importance for many offshore and nearshore operations. In this paper, we make a complete survey of stochastic models for sea state and wind time series. We begin with methods based on Gaussian processes, then non-parametric resampling methods for time series are introduced followed by various parametric models. We also propose an original statistical method, based on Monte Carlo goodness-of-fit tests, for model validation and comparison and this method is illustrated on an example of multivariate sea state time series. (C) 2006 Elsevier Ltd. All rights reserved. |
| Tipo: Text |
Palavras-chave: Model validation; Simulation; Nonlinear time series; Wind; Sea state. |
| Ano: 2007 |
URL: http://archimer.ifremer.fr/doc/2007/publication-2679.pdf |
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| RODRIGUES, R. de Á.; PEDRINI, J. E.; FRAISSE, C. W.; FERNANDES, J. M. C.; JUSTINO, F. B.; HEINEMANN, A. B.; COSTA, L. C.; VALE, F. X. R. do.. |
| In recent years, crop models have increasingly been used to simulate agricultural features. The DSSAT (Decision Support System for Agrotechnology Transfer) is an important tool in modeling growth; however, one of its limitations is related to the unaccounted- for effect of diseases. Therefore, the goals of this study were to calibrate and validate the CSM CROPGRO-Soybean for the soybean cultivars M-SOY 6101 and MG/BR 46 (Conquista), analyze the performance and the effect of Asian soybean rust on these cultivars under the environmental conditions of Viçosa, Minas Gerais, Brazil. The experimental data for the evaluation, testing, and adjustment of the genetic coefficients for the cultivars, M-SOY 6101 and MG/BR 46 (Conquista), were obtained during the... |
| Tipo: Artigo em periódico indexado (ALICE) |
Palavras-chave: DSSAT; Cropgro-Soybean; Rust epidemics; Models; Model validation; Calibration. |
| Ano: 2012 |
URL: http://www.alice.cnptia.embrapa.br/handle/doc/933521 |
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| Registros recuperados: 15 | |
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