A nesting site suitability model for rock partridge (Alectoris graeca) in the Apennine Mountains using logistic regression
The rock partridge has undergone a decline throughout its entire distribution area, including the population of the central Italian Apennine Mountains. Areas of suitable habitat for this species have been reduced due to landscape fragmentation and the dynamics of domestic animal and wildlife managem...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2010-01-01
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| Series: | Italian Journal of Animal Science |
| Subjects: | |
| Online Access: | http://www.aspajournal.it/index.php/ijas/article/view/563 |
| _version_ | 1819065891298476032 |
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| author | Lorenzo Boccia Raffaele Pelorosso Fioravante Serrani Andrea Amici |
| author_facet | Lorenzo Boccia Raffaele Pelorosso Fioravante Serrani Andrea Amici |
| author_sort | Lorenzo Boccia |
| collection | DOAJ |
| description | The rock partridge has undergone a decline throughout its entire distribution area, including the population of the central Italian Apennine Mountains. Areas of suitable habitat for this species have been reduced due to landscape fragmentation and the dynamics of domestic animal and wildlife management. The present study was conducted in the Province of Rieti, Lazio Region. Geograph- ical and land use predictors were evaluated in a GIS environment to identify the most relevant factors influencing the presence of rock partridge during the nesting period. Logistic regression was then imple- mented to create a model, characterised by a good level of adequacy, for predicting rock partridge nesting site habitat characteristics. Correct predictions of presence and absence were made in 65.2% and 98.6% of cases, respectively. The ROC value was 0.771, which is statistically significant (P<0.001). The results show that, on a local scale, slope (log), distance from forests, and the presence of bare rocks were statisti- cally significant factors. On a landscape scale, the percentage of forests, the presence of sparse vegetation (over 60%), and a negative Mean Shape Index (MSI) were found to be statistically significant. |
| first_indexed | 2024-12-21T15:53:40Z |
| format | Article |
| id | doaj.art-2e5b0ba964ca487b90c79707827eaee3 |
| institution | Directory Open Access Journal |
| issn | 1594-4077 1828-051X |
| language | English |
| last_indexed | 2024-12-21T15:53:40Z |
| publishDate | 2010-01-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Italian Journal of Animal Science |
| spelling | doaj.art-2e5b0ba964ca487b90c79707827eaee32022-12-21T18:58:09ZengTaylor & Francis GroupItalian Journal of Animal Science1594-40771828-051X2010-01-0182s75175310.4081/ijas.2009.s2.751A nesting site suitability model for rock partridge (Alectoris graeca) in the Apennine Mountains using logistic regressionLorenzo BocciaRaffaele PelorossoFioravante SerraniAndrea AmiciThe rock partridge has undergone a decline throughout its entire distribution area, including the population of the central Italian Apennine Mountains. Areas of suitable habitat for this species have been reduced due to landscape fragmentation and the dynamics of domestic animal and wildlife management. The present study was conducted in the Province of Rieti, Lazio Region. Geograph- ical and land use predictors were evaluated in a GIS environment to identify the most relevant factors influencing the presence of rock partridge during the nesting period. Logistic regression was then imple- mented to create a model, characterised by a good level of adequacy, for predicting rock partridge nesting site habitat characteristics. Correct predictions of presence and absence were made in 65.2% and 98.6% of cases, respectively. The ROC value was 0.771, which is statistically significant (P<0.001). The results show that, on a local scale, slope (log), distance from forests, and the presence of bare rocks were statisti- cally significant factors. On a landscape scale, the percentage of forests, the presence of sparse vegetation (over 60%), and a negative Mean Shape Index (MSI) were found to be statistically significant.http://www.aspajournal.it/index.php/ijas/article/view/563Rock partridge, Nesting site, GIS, Habitat suitability |
| spellingShingle | Lorenzo Boccia Raffaele Pelorosso Fioravante Serrani Andrea Amici A nesting site suitability model for rock partridge (Alectoris graeca) in the Apennine Mountains using logistic regression Italian Journal of Animal Science Rock partridge, Nesting site, GIS, Habitat suitability |
| title | A nesting site suitability model for rock partridge (Alectoris graeca) in the Apennine Mountains using logistic regression |
| title_full | A nesting site suitability model for rock partridge (Alectoris graeca) in the Apennine Mountains using logistic regression |
| title_fullStr | A nesting site suitability model for rock partridge (Alectoris graeca) in the Apennine Mountains using logistic regression |
| title_full_unstemmed | A nesting site suitability model for rock partridge (Alectoris graeca) in the Apennine Mountains using logistic regression |
| title_short | A nesting site suitability model for rock partridge (Alectoris graeca) in the Apennine Mountains using logistic regression |
| title_sort | nesting site suitability model for rock partridge alectoris graeca in the apennine mountains using logistic regression |
| topic | Rock partridge, Nesting site, GIS, Habitat suitability |
| url | http://www.aspajournal.it/index.php/ijas/article/view/563 |
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