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pessoais:ernesto [2007/01/03 08:27] ernesto |
pessoais:ernesto [2007/01/03 09:03] ernesto |
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| - | ====== Ernesto Jardim - página pessoal ====== | + | ====== Ernesto Jardim (doutorando do Paulo Ribeiro) ====== |
| + | Ernesto Jardim <ernesto@ipimar.pt>, is an Assistant Scientist at the Department of Marine Resources in [[http://www.ipimar.pt|IPIMAR]], with a Degree in Marine Biology and Fisheries and a MSc on Probability and Statistics. At the moment he is doing his PhD in Fisheries Science on the University of Algarve with Prof. Manuel Afonso Dias (U.Algarve), Prof. Paulo Ribeiro (Universidade Federal do Paraná) and Dr. Manuela Azevedo (IPIMAR). Stock coordinator for Southern Hake since 2001 on the [[http://www.ices.dk|ICES]] [[http://www.ices.dk/iceswork/wgdetailacfm.asp?wg=WGHMM|Working Groups on the Assessment of Hake, Monk and Megrim]]. Also working on data collection programmes, he has been involved in several EU funded projects on these subject: Study Contract 94/013, FIEFA and SAMFISH. Since 2006 he is the chairman of the ICES [[http://pnab.ipimar.pt/pgccdbs|Planning Group on Commercial Catches, Discards and Biological Sampling]]. He has been regularly invited to participate in [[http://stecf.jrc.cec.eu.int/|STECF]] on (i) the [[http://stecf.jrc.cec.eu.int/events_list.php?sg=SGRN&y=&pl=&o=ASC|Sub-Group on Research Needs]] dealing with several aspects of the [[http://datacollection.jrc.cec.eu.int/|Data Collection Regulation (DCR)]], evaluate MS proposals, evaluate MS activities and revision of the DCR (REG.CE. 1639/2001); (ii) the Sub-Group on Management Options regarding the development of a proposal for a Recovery Plan for Hake and Nephrops in Iberian waters; and (iii) the [[http://stecf.jrc.cec.eu.int/event.php?id=46|Sub-Group on Resource Status]] dealing with effort management. He has skills on database and software development in particular in data analysis systems. | ||
| ===== Papers em revisão ===== | ===== Papers em revisão ===== | ||
| + | |||
| ==== Geostatistical Assessment of Sampling Designs for Portuguese Bottom Trawl Surveys ==== | ==== Geostatistical Assessment of Sampling Designs for Portuguese Bottom Trawl Surveys ==== | ||
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| In the discussion section, the authors justify the use of isotropic models (lines 338 to 341) but no explanation and/or justification about the log-Gaussian geostatistical model selected are given. Further explanation about the reasons of the model selection will clarify the results. | In the discussion section, the authors justify the use of isotropic models (lines 338 to 341) but no explanation and/or justification about the log-Gaussian geostatistical model selected are given. Further explanation about the reasons of the model selection will clarify the results. | ||
| + | |||
| + | <file> | ||
| + | There's a paragraph (lines 325-332) justifying the use of a log transform, | ||
| + | in particular in lines 330-332 is mentioned that the log was found on previous | ||
| + | analysis of the historical data. | ||
| + | </file> | ||
| 2. Line 241. "Table 2 summarizes the checks of the results of the parameter estimates which were considered satisfactory and coherent". | 2. Line 241. "Table 2 summarizes the checks of the results of the parameter estimates which were considered satisfactory and coherent". | ||
| Linha 57: | Linha 65: | ||
| It seems like the authors assume all the species surveyed have similar spatial behavior. This is not necessarily true, especially if the survey is targeting species with different life history traits and aggregation behaviors under different spatial scales (i.e. demersal fishes vs. sedentary invertebrates). Furthermore, the autocorrelation structure in the data is not explicitly mentioned or described. Additional information and discussion on the effect of spatial correlation for the different stocks targeted by the trawl survey on the model selection will improve the robustness of this study. | It seems like the authors assume all the species surveyed have similar spatial behavior. This is not necessarily true, especially if the survey is targeting species with different life history traits and aggregation behaviors under different spatial scales (i.e. demersal fishes vs. sedentary invertebrates). Furthermore, the autocorrelation structure in the data is not explicitly mentioned or described. Additional information and discussion on the effect of spatial correlation for the different stocks targeted by the trawl survey on the model selection will improve the robustness of this study. | ||
| + | <file> | ||
| + | We generalized our results for all species that fit in the range of the | ||
| + | covariance parameters used. This may not apply to invertebrates but certainly | ||
| + | apply for most demersal species, which are the target of our survey. This | ||
| + | sentence was revised to clarify it's aim. | ||
| + | |||
| + | The autocorrelation structure in the data is presented in Table 1 where all | ||
| + | the correlation parameters estimated are shown and in lines 231-240 we | ||
| + | describe them and the most important particularities found. | ||
| + | |||
| + | PJ: Quanto à terceira idea não percebo o que o revisor quer ... | ||
| + | </file> | ||
| Minor comments | Minor comments | ||
