期刊
PLANT GENETIC RESOURCES-CHARACTERIZATION AND UTILIZATION
卷 13, 期 2, 页码 153-161出版社
CAMBRIDGE UNIV PRESS
DOI: 10.1017/S1479262114000847
关键词
collecting expedition; genebank; Lactuca; Maxent; niche modelling; plant genetic resources; species distribution modelling
资金
- Dutch Ministry of Economic Affairs [KB-12-005.03-003]
- Netherlands Organisation of Scientific Research (NWO)
- Government of Norway
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.
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