Robustness and accuracy of maxent niche modelling for Lactuca species distributions in light of collecting expeditions
Niche modelling software can be used to assess the probability of detecting a population of a plant species at a certain location. In this study, we used the distribution of the wild relatives of lettuce (Lactuca spp.) to investigate the applicability of Maxent species distribution models for collec...
| Main Authors: | , , , , , |
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| Format: | Journal Article |
| Language: | Inglés |
| Published: |
Cambridge University Press
2015
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/51656 |
| _version_ | 1855523322769440768 |
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| author | Cobben, MMP Treuren, R. van Castañeda Álvarez, Nora P. Khoury, Colin K. Kik, C Hintum, Theo J.L. van |
| author_browse | Castañeda Álvarez, Nora P. Cobben, MMP Hintum, Theo J.L. van Khoury, Colin K. Kik, C Treuren, R. van |
| author_facet | Cobben, MMP Treuren, R. van Castañeda Álvarez, Nora P. Khoury, Colin K. Kik, C Hintum, Theo J.L. van |
| author_sort | Cobben, MMP |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Niche modelling software can be used to assess the probability of detecting a population of a plant species at a certain location. In this study, we used the distribution of the wild relatives of lettuce (Lactuca spp.) to investigate the applicability of Maxent species distribution models for collecting missions. Geographic origin data of genebank and herbarium specimens and climatic data of the origin locations were used as input. For Lactuca saligna, we varied the input data by omitting the specimens from different parts of the known distribution area to assess the robustness of the predicted distributions. Furthermore, we examined the accuracy of the modelling by comparing the predicted probabilities of population presence against recent expedition data for the endemic Lactuca georgica and the cosmopolitan Lactuca serriola. We found Maxent to be quite robust in its predictions, although its usefulness was higher for endemic taxa than for more widespread species. The exclusion of occurrence data from the perceived range margins of the species can result in important information about local adaptation to distinct climatic conditions. We discuss the potential for enhanced use of Maxent in germplasm collecting planning. |
| format | Journal Article |
| id | CGSpace51656 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2015 |
| publishDateRange | 2015 |
| publishDateSort | 2015 |
| publisher | Cambridge University Press |
| publisherStr | Cambridge University Press |
| record_format | dspace |
| spelling | CGSpace516562025-11-12T05:55:04Z Robustness and accuracy of maxent niche modelling for Lactuca species distributions in light of collecting expeditions Cobben, MMP Treuren, R. van Castañeda Álvarez, Nora P. Khoury, Colin K. Kik, C Hintum, Theo J.L. van gene banks lactuca models plant genetic resources banco de genes modelos recursos genéticos vegetales Niche modelling software can be used to assess the probability of detecting a population of a plant species at a certain location. In this study, we used the distribution of the wild relatives of lettuce (Lactuca spp.) to investigate the applicability of Maxent species distribution models for collecting missions. Geographic origin data of genebank and herbarium specimens and climatic data of the origin locations were used as input. For Lactuca saligna, we varied the input data by omitting the specimens from different parts of the known distribution area to assess the robustness of the predicted distributions. Furthermore, we examined the accuracy of the modelling by comparing the predicted probabilities of population presence against recent expedition data for the endemic Lactuca georgica and the cosmopolitan Lactuca serriola. We found Maxent to be quite robust in its predictions, although its usefulness was higher for endemic taxa than for more widespread species. The exclusion of occurrence data from the perceived range margins of the species can result in important information about local adaptation to distinct climatic conditions. We discuss the potential for enhanced use of Maxent in germplasm collecting planning. 2015-08 2014-11-29T04:58:12Z 2014-11-29T04:58:12Z Journal Article https://hdl.handle.net/10568/51656 en Open Access application/pdf Cambridge University Press Cobben, M.M.P.; Van Treuren, R.; Castañeda-Álvarez, Nora P.; Khoury, Collin; Kik, C.; Van Hintum, Theo J.L.. 2014. Robustness and accuracy of maxent niche modelling for Lactuca species distributions in light of collecting expeditions. Plant Genetic Resources: Characterization and Utilization Published online. |
| spellingShingle | gene banks lactuca models plant genetic resources banco de genes modelos recursos genéticos vegetales Cobben, MMP Treuren, R. van Castañeda Álvarez, Nora P. Khoury, Colin K. Kik, C Hintum, Theo J.L. van Robustness and accuracy of maxent niche modelling for Lactuca species distributions in light of collecting expeditions |
| title | Robustness and accuracy of maxent niche modelling for Lactuca species distributions in light of collecting expeditions |
| title_full | Robustness and accuracy of maxent niche modelling for Lactuca species distributions in light of collecting expeditions |
| title_fullStr | Robustness and accuracy of maxent niche modelling for Lactuca species distributions in light of collecting expeditions |
| title_full_unstemmed | Robustness and accuracy of maxent niche modelling for Lactuca species distributions in light of collecting expeditions |
| title_short | Robustness and accuracy of maxent niche modelling for Lactuca species distributions in light of collecting expeditions |
| title_sort | robustness and accuracy of maxent niche modelling for lactuca species distributions in light of collecting expeditions |
| topic | gene banks lactuca models plant genetic resources banco de genes modelos recursos genéticos vegetales |
| url | https://hdl.handle.net/10568/51656 |
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