Climate threat on the Macaronesian endemic bryophyte flora

被引:51
作者
Patino, Jairo [1 ,2 ,3 ,4 ,5 ]
Mateo, Ruben G. [2 ]
Zanatta, Florian [1 ]
Marquet, Adrien [1 ]
Aranda, Silvia C. [6 ]
Borges, Paulo A. V. [3 ,4 ]
Dirkse, Gerard [7 ]
Gabriel, Rosalina [3 ,4 ]
Gonzalez-Mancebo, Juana M. [5 ]
Guisan, Antoine [2 ,8 ]
Munoz, Jesus [9 ]
Sim-Sim, Manuela [10 ,11 ]
Vanderpoorten, Alain [3 ,4 ,12 ]
机构
[1] CSIC, IPNA, Isl Ecol & Evolut Res Grp, Tenerife, Canary Islands, Spain
[2] Univ Lausanne, Dept Ecol & Evolut, Lausanne, Switzerland
[3] Azorean Biodivers Grp, CE3c, Angra Do Heroismo, Azores, Portugal
[4] Univ Azores, Angra Do Heroismo, Azores, Portugal
[5] Univ La Laguna, Dept Plant Biol, Tenerife, Spain
[6] CSIC, Museo Nacl Ciencias Nat, E-28006 Madrid, Spain
[7] Nat Museum Nijmegen, Nijmegen, Netherlands
[8] Univ Lausanne, Inst Earth Surface Dynam, Lausanne, Switzerland
[9] CSIC, Real Jardin Bot, Madrid, Spain
[10] Univ Nova Lisboa, Fac Ciencias Lisboa, CE3c, Lisbon, Portugal
[11] Museu Nacl Hist Nat & Ciencia, Jardim Bot, Lisbon, Portugal
[12] Univ Liege, Inst Bot, B-4000 Liege, Belgium
关键词
OCEANIC ISLANDS; GROWTH-RATE; CONSERVATION; DISTRIBUTIONS; VEGETATION; DIVERSITY; ATLANTIC; EUROPE; SHIFTS; MODEL;
D O I
10.1038/srep29156
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Oceanic islands are of fundamental importance for the conservation of biodiversity because they exhibit high endemism rates coupled with fast extinction rates. Nowhere in Europe is this pattern more conspicuous than in the Macaronesian biogeographic region. A large network of protected areas within the region has been developed, but the question of whether these areas will still be climatically suitable for the globally threatened endemic element in the coming decades remains open. Here, we make predictions on the fate of the Macaronesian endemic bryophyte flora in the context of ongoing climate change. The potential distribution of 35 Macaronesian endemic bryophyte species was assessed under present and future climate conditions using an ensemble modelling approach. Projections of the models under different climate change scenarios predicted an average decrease of suitable areas of 62-87% per species and a significant elevational increase by 2070, so that even the commonest species were predicted to fit either the Vulnerable or Endangered IUCN categories. Complete extinctions were foreseen for six of the studied Macaronesian endemic species. Given the uncertainty regarding the capacity of endemic species to track areas of suitable climate within and outside the islands, active management associated to an effective monitoring program is suggested.
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页数:12
相关论文
共 76 条
[1]   Delimiting the geographical background in species distribution modelling [J].
Acevedo, Pelayo ;
Jimenez-Valverde, Alberto ;
Lobo, Jorge M. ;
Real, Raimundo .
JOURNAL OF BIOGEOGRAPHY, 2012, 39 (08) :1383-1390
[2]   AND IF ENGLER WAS NOT COMPLETELY WRONG? EVIDENCE FOR MULTIPLE EVOLUTIONARY ORIGINS IN THE MOSS FLORA OF MACARONESIA [J].
Aigoin, Delphine A. ;
Devos, Nicolas ;
Huttunen, Sanna ;
Ignatov, Michael S. ;
Gonzalez-Mancebo, Juana M. ;
Vanderpoorten, Alain .
EVOLUTION, 2009, 63 (12) :3248-3257
[3]   How well does presence-only-based species distribution modelling predict assemblage diversity? A case study of the Tenerife flora [J].
Aranda, Silvia C. ;
Lobo, Jorge M. .
ECOGRAPHY, 2011, 34 (01) :31-38
[4]  
Barber Janet C., 2013, Vieraea, V41, P129
[5]   Phylogeny of the moss class Polytrichopsida (BRYOPHYTA): Generic-level structure and incongruent gene trees [J].
Bell, Neil E. ;
Hyvonen, Jaakko .
MOLECULAR PHYLOGENETICS AND EVOLUTION, 2010, 55 (02) :381-398
[6]   Invasibility and species richness of island endemic arthropods: a general model of endemic vs. exotic species [J].
Borges, PAV ;
Lobo, JM ;
de Azevedo, EB ;
Gaspar, CS ;
Melo, C ;
Nunes, LV .
JOURNAL OF BIOGEOGRAPHY, 2006, 33 (01) :169-187
[7]  
Bramwell D., 2011, The Biology of the Island Floras
[8]   How well do CMIP5 Earth System Models simulate present climate conditions in Europe and Africa? [J].
Brands, S. ;
Herrera, S. ;
Fernandez, J. ;
Gutierrez, J. M. .
CLIMATE DYNAMICS, 2013, 41 (3-4) :803-817
[9]   Random forests [J].
Breiman, L .
MACHINE LEARNING, 2001, 45 (01) :5-32
[10]  
Busby J. R., 1991, Plant Protection Quarterly, V6, P8