Influence of spatial extent on habitat suitability models for primate species of Atlantic Forest

被引:10
作者
Vasquez, Vagner Lacerda [1 ]
de Lima, Adriana Almeida [1 ]
dos Santos, Ariston Pereira [2 ]
Pinto, Miriam Plaza [3 ]
机构
[1] Univ Fed Rio Grande do Norte, Ctr Biociencias, Programa Posgrad Ecol, BR-59072970 Natal, RN, Brazil
[2] Univ Fed Rio Grande do Norte, Ctr Biociencias, Dept Ecol, Curso Ecol, BR-59072970 Natal, RN, Brazil
[3] Univ Fed Rio Grande do Norte, Ctr Biociencias, Dept Ecol, BR-59072970 Natal, RN, Brazil
关键词
Species distribution modeling; MaxEnt; AUC; Background sampling area; Species range; ENVIRONMENTAL VARIABLES; CLIMATE-CHANGE; DISTRIBUTIONS; CONSERVATION; VULNERABILITY; PERFORMANCE; PREDICTION; DIVERSITY; SELECTION; SCALE;
D O I
10.1016/j.ecoinf.2020.101179
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
The Atlantic Forest biome is essential to the conservation of primates, the mammals with the highest number of endangered species. Habitat suitability modeling is extensively used in ecology and conservation, but the influence of the spatial extent used to train and test these models have not yet been assessed. Here we evaluated how the spatial extent definition influences the suitability surfaces and distributions obtained from habitat suitability modeling for the Atlantic Forest primate species. We built habitat suitability models for each species in three different extents. We used extents generally defined when models are built for more than one species (combining the spatial extent for all species or the complete biome) and the extent generally used for single species (encompassing all occurrence records for the species). Although the suitability spatial patterns did not vary among extents, the suitability frequency distributions were different. The extent can also influence the distribution area obtained from these models. Habitat suitability modeling can be beneficial in the environmental sciences and the efficient use of this tool requires the awareness of the effects of model construction decisions.
引用
收藏
页数:10
相关论文
共 58 条
  • [1] Species-specific tuning increases robustness to sampling bias in models of species distributions: An implementation with Maxent
    Anderson, Robert P.
    Gonzalez, Israel, Jr.
    [J]. ECOLOGICAL MODELLING, 2011, 222 (15) : 2796 - 2811
  • [2] 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
  • [3] Habitat suitability and ecological niche profile of major malaria vectors in Cameroon
    Ayala, Diego
    Costantini, Carlo
    Ose, Kenji
    Kamdem, Guy C.
    Antonio-Nkondjio, Christophe
    Agbor, Jean-Pierre
    Awono-Ambene, Parfait
    Fontenille, Didier
    Simard, Frederic
    [J]. MALARIA JOURNAL, 2009, 8
  • [4] 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
  • [5] Bivand R., 2019, Tornado cash privacy solution version
  • [6] Comparing species distribution models constructed with different subsets of environmental predictors
    Bucklin, David N.
    Basille, Mathieu
    Benscoter, Allison M.
    Brandt, Laura A.
    Mazzotti, Frank J.
    Romanach, Stephanie S.
    Speroterra, Carolina
    Watling, James I.
    [J]. DIVERSITY AND DISTRIBUTIONS, 2015, 21 (01) : 23 - 35
  • [7] Multimodel inference - understanding AIC and BIC in model selection
    Burnham, KP
    Anderson, DR
    [J]. SOCIOLOGICAL METHODS & RESEARCH, 2004, 33 (02) : 261 - 304
  • [8] Chapman CA, 2001, EVOL ANTHROPOL, V10, P16, DOI 10.1002/1520-6505(2001)10:1<16::AID-EVAN1010>3.0.CO
  • [9] 2-O
  • [10] Patch Size, Functional Isolation, Visibility and Matrix Permeability Influences Neotropical Primate Occurrence within Highly Fragmented Landscapes
    da Silva, Lucas Goulart
    Ribeiro, Milton Cezar
    Hasui, Erica
    da Costa, Carla Aparecida
    Teixeira da Cunha, Rogerio Grassetto
    [J]. PLOS ONE, 2015, 10 (02):