Bioclimatic niches of selected endemic Ixora species on the Philippines: predicting habitat suitability due to climate change

被引:0
|
作者
Cecilia Banag
Timothy Thrippleton
Grecebio Jonathan Alejandro
Björn Reineking
Sigrid Liede-Schumann
机构
[1] University of Santo Tomas,Department of Biological Sciences, College of Science
[2] University of Santo Tomas,Plant Sciences, Research Center for the Natural and Applied Sciences, Thomas Aquinas Research Center
[3] University of Bayreuth,Department of Plant Systematics
[4] University of Bayreuth,Biogeographical Modelling, Bayreuth Center of Ecology and Environmental Research BayCEER
[5] ETH Zurich,Forest Ecology, Department of Environmental Systems Science, Institute of Terrestrial Ecosystems
[6] Irstea UR EMGR,undefined
[7] Université Grenoble Alpes,undefined
来源
Plant Ecology | 2015年 / 216卷
关键词
Climate change; Species distribution modeling; Endemic; Maxent; Rubiaceae;
D O I
暂无
中图分类号
学科分类号
摘要
The pantropical genus Ixora is highly diverse, with several species endemic to the Philippines. Owing to their endemic nature, many of these species are endangered and little is known about their basic biology. This study aimed to establish baseline information about the bioclimatic niches of Ixora species endemic to the Philippines, determine suitable areas and potential range shifts under future climate conditions, and identify priority areas for conservation and future research. Locality records of 12 endemic Ixora species from the Philippine archipelago were analyzed, with a particular focus on the five most abundant species I. auriculata, I. bartlingii, I. cumingiana, I. macrophylla, and one island endemic species, Ixora palawanensis. Bioclimatic variables from the WorldClim database at 2.5′ resolution were used, with a focus on annual means and seasonality of temperature and precipitation as well as precipitation of the warmest quarter. Analysis of the relationships of the species locations with the bioclimatic variables showed that the bioclimatic niches of the five focal Ixora species generally had narrow temperature and wider precipitation niches. Species distribution modeling with the model Maxent suggested that I. auriculata and I. bartlingii will likely shift their geographic distributions southwards under predicted levels of climate change, while I. cumingiana and I. macrophylla were found to likely expand their ranges. Ixora palawanensis, in contrast, was predicted to decrease its potential distribution with future climate change. Further, results of species distribution modeling for the rare endemic Ixora species I. bibracteata, I. chartacea, I. ebracteolata, I. inaequifolia, I. longistipula, I. luzoniensis, and I. macgregorii were presented, which, however, had much less observation points and therefore only provide a first estimate of potential species distributions. The generated potential habitat suitability maps can assist policy makers in designing conservation strategies for the species and in identifying areas with potential to withstand climate change until at least 2080.
引用
收藏
页码:1325 / 1340
页数:15
相关论文
共 50 条
  • [21] Species distribution models for predicting the habitat suitability of Chinese fire-bellied newt Cynops orientalis under climate change
    Guo, Kun
    Yuan, Sijia
    Wang, Hao
    Zhong, Jun
    Wu, Yanqing
    Chen, Wan
    Hu, Chaochao
    Chang, Qing
    ECOLOGY AND EVOLUTION, 2021, 11 (15): : 10147 - 10154
  • [22] Impact of climate change on habitat suitability of an endemic herbivore [Hydrothassa anatolica (Chrysomelidae: Chrysomelinae)] in Türkiye
    Sirri, Mesut
    Bal, Neslihan
    Farooq, Shahid
    Ozaslan, Cumali
    ANIMAL TAXONOMY AND ECOLOGY, 2024, 70 (01): : 30 - 45
  • [23] Species traits and reduced habitat suitability limit efficacy of climate change refugia in streams
    Matthew J. Troia
    Anna L. Kaz
    J. Cameron Niemeyer
    Xingli Giam
    Nature Ecology & Evolution, 2019, 3 : 1321 - 1330
  • [24] Species traits and reduced habitat suitability limit efficacy of climate change refugia in streams
    Troia, Matthew J.
    Kaz, Anna L.
    Niemeyer, J. Cameron
    Giam, Xingli
    NATURE ECOLOGY & EVOLUTION, 2019, 3 (09) : 1321 - 1330
  • [25] Disentangling the effects of management and climate change on habitat suitability for saproxylic species in boreal forests
    Ellinoora Ekman
    María Trivi?o
    Clemens Blattert
    Adriano Mazziotta
    Maria Potterf
    Kyle Eyvindson
    Journal of Forestry Research, 2024, 35 (02) : 125 - 137
  • [26] Disentangling the effects of management and climate change on habitat suitability for saproxylic species in boreal forests
    Ekman, Ellinoora
    Trivino, Maria
    Blattert, Clemens
    Mazziotta, Adriano
    Potterf, Maria
    Eyvindson, Kyle
    JOURNAL OF FORESTRY RESEARCH, 2024, 35 (01)
  • [27] Predicting extinction risks under climate change:: coupling stochastic population models with dynamic bioclimatic habitat models
    Keith, David A.
    Akcakaya, H. Resit
    Thuiller, Wilfried
    Midgley, Guy F.
    Pearson, Richard G.
    Phillips, Steven J.
    Regan, Helen M.
    Araujo, Miguel B.
    Rebelo, Tony G.
    BIOLOGY LETTERS, 2008, 4 (05) : 560 - 563
  • [28] Predicting the impact of climate change on habitat suitability and morphological traits of Begonia aborensis Dunn in Northeastern India: an endemic taxon of Indo-Myanmar hotspot
    Parthapratim Konwar
    Bikas Das
    Manoj Kumar
    Dipanwita Banik
    Brazilian Journal of Botany, 2023, 46 : 667 - 680
  • [29] Predicting the impact of climate change on habitat suitability and morphological traits of Begonia aborensis Dunn in Northeastern India: an endemic taxon of Indo-Myanmar hotspot
    Konwar, Parthapratim
    Das, Bikas
    Kumar, Manoj
    Banik, Dipanwita
    BRAZILIAN JOURNAL OF BOTANY, 2023, 46 (03) : 667 - 680
  • [30] Predicting the Suitable Habitat of Treeline Species in the Nepalese Himalayas Under Climate Change
    Chhetri, Parveen K.
    Gaddis, Keith D.
    Cairns, David M.
    MOUNTAIN RESEARCH AND DEVELOPMENT, 2018, 38 (02) : 153 - 163