Modeling future habitats to identify suitable sites for ex situ conservation of the endangered palm Metroxylon vitiense (H. Wendl.) H. Wendl. ex Benth. & Hook. f. in Fiji
Climate change and human-centered development have endangered the survival of many species. The purpose of this study was to investigate, using MaxEnt, changes in the habitat suitable for the endangered palm Metroxylon vitiense (H. Wendl.) H. Wendl. ex Benth. & Hook. f. in Fiji resulting from a...
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Published in | Tropical ecology Vol. 63; no. 4; pp. 596 - 603 |
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Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
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Springer India
01.12.2022
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Abstract | Climate change and human-centered development have endangered the survival of many species. The purpose of this study was to investigate, using MaxEnt, changes in the habitat suitable for the endangered palm
Metroxylon vitiense
(H. Wendl.) H. Wendl. ex Benth. & Hook. f. in Fiji resulting from a changed climate. MaxEnt is a maximum entropy-based machine learning program, and it can estimate the probability distribution for the occurrence of a species based on environmental constraints. The results indicated that precipitation in the driest month had the highest gain when it was considered in isolation, indicating that this factor is the most important environmental variable influencing the distribution of this palm. Moreover, precipitation in the driest quarter and annual precipitation may influence to some extent the distribution of the species. Predictions indicated that future suitable habitats for
M. vitiense
may occur not only in the coastal area, but also away from it. Although this prediction has associated uncertainty, the suitable area may increase to 409.7% and 240.9% of the area of current suitable habitats. The coastal area, where the current habitat it located, is subject to rapid development and may be affected by sea-level rise. In this case, ex situ conservation would be effective. In order to avoid risk, this study suggests that it would be appropriate to plant
M. vitiense
away from coastal areas. However, ensuring there is sufficient area for transplantation is a major issue. |
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AbstractList | Climate change and human-centered development have endangered the survival of many species. The purpose of this study was to investigate, using MaxEnt, changes in the habitat suitable for the endangered palm Metroxylon vitiense (H. Wendl.) H. Wendl. ex Benth. & Hook. f. in Fiji resulting from a changed climate. MaxEnt is a maximum entropy-based machine learning program, and it can estimate the probability distribution for the occurrence of a species based on environmental constraints. The results indicated that precipitation in the driest month had the highest gain when it was considered in isolation, indicating that this factor is the most important environmental variable influencing the distribution of this palm. Moreover, precipitation in the driest quarter and annual precipitation may influence to some extent the distribution of the species. Predictions indicated that future suitable habitats for M. vitiense may occur not only in the coastal area, but also away from it. Although this prediction has associated uncertainty, the suitable area may increase to 409.7% and 240.9% of the area of current suitable habitats. The coastal area, where the current habitat it located, is subject to rapid development and may be affected by sea-level rise. In this case, ex situ conservation would be effective. In order to avoid risk, this study suggests that it would be appropriate to plant M. vitiense away from coastal areas. However, ensuring there is sufficient area for transplantation is a major issue. Climate change and human-centered development have endangered the survival of many species. The purpose of this study was to investigate, using MaxEnt, changes in the habitat suitable for the endangered palm Metroxylon vitiense (H. Wendl.) H. Wendl. ex Benth. & Hook. f. in Fiji resulting from a changed climate. MaxEnt is a maximum entropy-based machine learning program, and it can estimate the probability distribution for the occurrence of a species based on environmental constraints. The results indicated that precipitation in the driest month had the highest gain when it was considered in isolation, indicating that this factor is the most important environmental variable influencing the distribution of this palm. Moreover, precipitation in the driest quarter and annual precipitation may influence to some extent the distribution of the species. Predictions indicated that future suitable habitats for M. vitiense may occur not only in the coastal area, but also away from it. Although this prediction has associated uncertainty, the suitable area may increase to 409.7% and 240.9% of the area of current suitable habitats. The coastal area, where the current habitat it located, is subject to rapid development and may be affected by sea-level rise. In this case, ex situ conservation would be effective. In order to avoid risk, this study suggests that it would be appropriate to plant M. vitiense away from coastal areas. However, ensuring there is sufficient area for transplantation is a major issue. |
Author | Tuiwawa, Marika Naikatini, Alivereti Ehara, Hiroshi Naito, Hitoshi Rounds, Isaac Itaya, Akemi Miyamori, Masamitsu |
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Cites_doi | 10.1371/journal.pone.0002502 10.1023/A:1024509322709 10.1046/j.1365-2664.2001.00647.x 10.5194/bg-11-3781-2014 10.1073/pnas.0708921105 10.1016/j.ecolmodel.2005.03.026 10.1002/joc.1276 10.1111/j.1461-0248.2005.00792.x 10.1016/j.biocon.2010.06.011 10.1016/j.rsma.2016.05.003 10.1017/S0376892997000088 10.1126/science.1156831 10.15244/pjoes/62640 10.1111/gcb.12236 10.1080/02626667909491834 10.1007/s11625-008-0052-2 10.1007/978-981-10-5269-9_10 10.1073/pnas.0802891105 10.1007/s00267-012-9836-3 10.1002/hyp.3360050103 10.1007/s13753-015-0065-2 |
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SubjectTerms | Annual precipitation Biodiversity Biomedical and Life Sciences Climate change Coastal ecology Coastal zone Coasts Conservation Conservation Biology/Ecology Ecology Ecosystems Endangered species Entropy Geographical distribution Habitats Landscape Ecology Learning programs Life Sciences Machine learning Maximum entropy Metroxylon Monomorium vitiense Precipitation Probability distribution Research Article Sea level Transplantation |
Title | Modeling future habitats to identify suitable sites for ex situ conservation of the endangered palm Metroxylon vitiense (H. Wendl.) H. Wendl. ex Benth. & Hook. f. in Fiji |
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