Plumbing the depths: extending ecological niche modelling and species distribution modelling in three dimensions

被引:57
作者
Bentlage, Bastian [1 ]
Peterson, A. Townsend [1 ]
Barve, Narayani [1 ]
Cartwright, Paulyn [1 ]
机构
[1] Univ Kansas, Dept Ecol & Evolutionary Biol, Lawrence, KS 66045 USA
来源
GLOBAL ECOLOGY AND BIOGEOGRAPHY | 2013年 / 22卷 / 08期
基金
美国国家科学基金会;
关键词
Bioclimatic envelope; depth; ecological niche model; marine; Periphylla periphylla; species distribution model; three-dimensional; PERIPHYLLA-PERIPHYLLA SCYPHOZOA; GEOGRAPHIC DISTRIBUTIONS; JELLYFISHES; SPACE; AREA;
D O I
10.1111/geb.12049
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
Aim Ecological niche modelling (ENM) and species distribution modelling (SDM) have been used extensively to study biogeographic and macroecological patterns of terrestrial fauna and flora. Few studies to date have applied ENM and SDM to marine ecosystems, and those that have treated the marine environment as a two-dimensional space owing to limitations of the implementations of current ENM/SDM tools. For many marine organisms, ENM/SDM should be performed in three-dimensional space, taking into account latitude, longitude and depth. We present a case study demonstrating a strategy for three-dimensional ENM/SDM. Location Open ocean; global. Methods We decompose the three-dimensional structure of marine environmental and species occurrence data into a series of two-dimensional spaces using an easy-to-implement transformation, after which existing ENM/SDM tools can be used to analyse the data. We demonstrate our approach by modelling the potential distribution of a deep-sea-dwelling jellyfish with two commonly used algorithms. Potential effects of missing data and spatial sampling biases were assessed using resampling approaches. Results We demonstrate that it is feasible to derive predictive models of three-dimensional distributions of marine species using existing software tools developed with two-dimensional terrestrial situations in mind. The strategy presented here allowed us to model the distribution of a jellyfish species that inhabits the deep sea. We assessed the effects of missing occurrence data and spatial bias of occurrence data, and found that interpolation among occurrence data-points and extrapolation into unsampled conditions present distinct challenges that may require different modelling algorithms and interpretations. Main conclusions Our modified ENM/SDM approach is straightforward, and can be used to model situations that have heretofore been beyond the reach of ENM/SDM applications. In particular, geographic distributions and ecological niches of organisms inhabiting three-dimensional habitats such as water columns in marine and freshwater environments can be modelled using the framework presented here.
引用
收藏
页码:952 / 961
页数:10
相关论文
共 41 条
  • [1] The effect of the extent of the study region on GIS models of species geographic distributions and estimates of niche evolution: preliminary tests with montane rodents (genus Nephelomys) in Venezuela
    Anderson, Robert P.
    Raza, Ali
    [J]. JOURNAL OF BIOGEOGRAPHY, 2010, 37 (07) : 1378 - 1393
  • [2] [Anonymous], 2006, NOAA ATLAS NESDIS
  • [3] Antonov J., 2006, NOAA ATLAS NESDIS 62, P182
  • [4] Antonov J.I., 2006, NOAA Atlas NESDIS, V62
  • [5] Uses and misuses of bioclimatic envelope modeling
    Araujo, Miguel B.
    Townsend Peterson, A.
    [J]. ECOLOGY, 2012, 93 (07) : 1527 - 1539
  • [6] The crucial role of the accessible area in ecological niche modeling and species distribution modeling
    Barve, Narayani
    Barve, Vijay
    Jimenez-Valverde, Alberto
    Lira-Noriega, Andres
    Maher, Sean P.
    Peterson, A. Townsend
    Soberon, Jorge
    Villalobos, Fabricio
    [J]. ECOLOGICAL MODELLING, 2011, 222 (11) : 1810 - 1819
  • [7] NichePy: modular tools for estimating the similarity of ecological niche and species distribution models
    Bentlage, Bastian
    Shcheglovitova, Mariya
    [J]. METHODS IN ECOLOGY AND EVOLUTION, 2012, 3 (03): : 484 - 489
  • [8] Inferring distributions of chirodropid box-jellyfishes (Cnidaria: Cubozoa) in geographic and ecological space using ecological niche modeling
    Bentlage, Bastian
    Peterson, A. Townsend
    Cartwright, Paulyn
    [J]. MARINE ECOLOGY PROGRESS SERIES, 2009, 384 : 121 - 133
  • [9] Exceptionally Preserved Jellyfishes from the Middle Cambrian
    Cartwright, Paulyn
    Halgedahl, Susan L.
    Hendricks, Jonathan R.
    Jarrard, Richard D.
    Marques, Antonio C.
    Collins, Allen G.
    Lieberman, Bruce S.
    [J]. PLOS ONE, 2007, 2 (10):
  • [10] Applications and future challenges in marine species distribution modeling
    Dambach, Johannes
    Roedder, Dennis
    [J]. AQUATIC CONSERVATION-MARINE AND FRESHWATER ECOSYSTEMS, 2011, 21 (01) : 92 - 100