Solving problems involving the distribution of a species of unknown distribution via ecological niche modeling

被引:16
作者
Hipolito, Juliana [1 ]
Hasui, Erica [2 ]
Viana, Blandina F. [1 ]
机构
[1] Univ Fed Bahia UFBA, Inst Biol, Lab Biol & Ecol Abelhas, Salvador, BA, Brazil
[2] Univ Fed Alfenas UNIFAL, Inst Ciencias Nat, Lab Ecol Fragmentos ECOFRAG, Unifal, MG, Brazil
来源
NATUREZA & CONSERVACAO | 2015年 / 13卷 / 01期
关键词
Conservation; Environmental distances; Potential species distribution; Plant species;
D O I
10.1016/j.ncon.2015.03.001
中图分类号
X176 [生物多样性保护];
学科分类号
090705 ;
摘要
Unlike species with widespread distributions, few predictive models have been constructed for species with restricted or unknown distributions. One example of such a poorly studied species is Aristolochia gigantea, for which very conflicting information has been reported regarding its distribution. In this study, we present A. gigantea's distribution and range, the environmental factors responsible for its distribution and comments about the information available in the existing literature. The model of A. gigantea's distribution identified new areas that can be surveyed to potentially find new populations, and our results reinforce the importance of predictive models for studying the distributions of species, suggesting that ecological niche modeling can provide important contributions to the analysis of biogeographic patterns in little-studied plant species. (C) 2015 Associacao Brasileira de Ciencia Ecologica e Conservacao. Published by Elsevier Editora Ltda. All rights reserved.
引用
收藏
页码:15 / 23
页数:9
相关论文
共 50 条
[41]   Species distribution models built with local species data perform better for current time, but suffer from niche truncation [J].
Anselmetto, Nicolo ;
Morresi, Donato ;
Barbarino, Simona ;
Lo Lisci, Nicola ;
Betts, Matthew G. ;
Garbarino, Matteo .
AGRICULTURAL AND FOREST METEOROLOGY, 2025, 362
[42]   Using species distribution and occupancy modeling to guide survey efforts and assess species status [J].
Peterman, William E. ;
Crawford, John A. ;
Kuhns, Andrew R. .
JOURNAL FOR NATURE CONSERVATION, 2013, 21 (02) :114-121
[43]   Comparing sample bias correction methods for species distribution modeling using virtual species [J].
Inman, Richard ;
Franklin, Janet ;
Esque, Todd ;
Nussear, Kenneth .
ECOSPHERE, 2021, 12 (03)
[44]   Using Open-Source Data in Correlative Species Distribution Modeling of Marine Species [J].
Morales-Ramirez, Carlos A. ;
Pang, Pearlyn Y. .
AMERICAN BIOLOGY TEACHER, 2018, 80 (06) :457-461
[45]   Remote sensing of structural complexity indices for habitat and species distribution modeling [J].
Estes, L. D. ;
Reillo, P. R. ;
Mwangi, A. G. ;
Okin, G. S. ;
Shugart, H. H. .
REMOTE SENSING OF ENVIRONMENT, 2010, 114 (04) :792-804
[46]   Ecological and biological indicators of the accuracy of species distribution models: lessons from European bryophytes [J].
Collart, Flavien ;
Broennimann, Olivier ;
Guisan, Antoine ;
Vanderpoorten, Alain .
ECOGRAPHY, 2023, 2023 (08)
[47]   Comparisons of two cryptic Ampedus species (Coleoptera: Elateridae) by using classical systematics, ecological niche modeling, and DNA barcoding [J].
Kabalak, Mahmut ;
Karacaoglu, Cagasan ;
Bilgic, Hayriye Akel ;
Karaguzel, Dilara ;
Karaaslan, Cagatay .
ZOOTAXA, 2022, 5154 (04) :454-468
[48]   Impact of climate change on the distribution range and niche dynamics of Himalayan birch, a typical treeline species in Himalayas [J].
Hamid, Maroof ;
Khuroo, Anzar A. ;
Charles, Bipin ;
Ahmad, Rameez ;
Singh, C. P. ;
Aravind, N. A. .
BIODIVERSITY AND CONSERVATION, 2019, 28 (8-9) :2345-2370
[49]   Geographic and seasonal distribution of the Cock-tailed Tyrant (Alectrurus tricolor) inferred from niche modeling [J].
Marini, Miguel Angelo ;
Barbet-Massin, Morgane ;
Lopes, Leonardo E. ;
Jiguet, Frederic .
JOURNAL OF ORNITHOLOGY, 2013, 154 (02) :393-402
[50]   Climate change impacts on the distribution and ecological niche overlap of Aromia bungii and its natural enemies: implications for biological control [J].
Zhang, Liang ;
Yang, Chaokun ;
Wang, Ping ;
Xie, Guanglin ;
Wang, Wenkai .
BIOLOGICAL CONTROL, 2025, 207