Artikel: Data relating to threats to passion fruit production in the Neotropics due to agricultural area loss and pollinator mismatch as consequence of climate changes
Data in Brief. 2019 Apr., v. 23
2019
Abstract: The data in this article are associated with the research article ‘Agricultural area losses and pollinator mismatch due to climate changes endanger passion fruit production in the Neotropics’ (A.D. Bezerra et al. 2019).The data consists of the occurrence ...
| Abstract | The data in this article are associated with the research article ‘Agricultural area losses and pollinator mismatch due to climate changes endanger passion fruit production in the Neotropics’ (A.D. Bezerra et al. 2019).The data consists of the occurrence points, AUC scores models, presence and absence and co-occurrence maps of the passion fruit (Passiflora edulis) crop and its pollinators, Xylocopa bees (Xylocopa frontalis and Xylocopa grisescens), in current and future scenarios (RPC 4.5 and 8.5, in the years 2060 and 2080) in the Neotropics. Data was obtained though literature review (articles, systematic surveys, dissertation and thesis), as well as systematic searches in entomological collections available in data portals provided by the SpeciesLink and Global Biodiversity Information Facility – GIBF, and analyses by the MaxEnt algorithm and binary transformation. Occurrence error points that did not represent the actual spatial distribution of the species were removed to obtain the current occurrence points and data analyses proved good performance of models for all prediction scenarios. The data-generated maps of pollinators and crop occurrence and co-occurrence also show how climate change may impact the spatial distribution of pollinators and potential losses of this crop's agricultural areas. |
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| Schlagwörter | Neotropics ; Passiflora edulis ; Xylocopa ; algorithms ; biodiversity ; climate ; climate change ; passion fruits ; pollinators ; prediction |
| Sprache | Englisch |
| Erscheinungsverlauf | 2019-04 |
| Erscheinungsort | Elsevier Inc. |
| Dokumenttyp | Artikel |
| ZDB-ID | 2786545-9 |
| ISSN | 2352-3409 |
| ISSN | 2352-3409 |
| DOI | 10.1016/j.dib.2019.103802 |
| Datenquelle | NAL Katalog (AGRICOLA) |
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