Prediction of the potentially suitable areas of Litsea cubeba in China based on future climate change using the optimized MaxEnt model

被引:67
作者
Shi, Xiaodeng [1 ]
Wang, Jiawei [2 ]
Zhang, Li [2 ]
Chen, Shangxing [3 ]
Zhao, Anlin [4 ]
Ning, Xiaodan [2 ,3 ]
Fan, Guorong [3 ]
Wu, Nansheng [2 ]
Zhang, Ling [2 ]
Wang, Zongde [3 ]
机构
[1] Zhejiang Acad Forestry, Hangzhou 310023, Peoples R China
[2] Jiangxi Agr Univ, Coll Forestry, Jiangxi Key Lab Silviculture, Nanchang 330045, Peoples R China
[3] Jiangxi Agr Univ, Coll Forestry, Camphor Engn Res Ctr NFGA, East China Woody Fragrance & Flavor Engn Res Ctr,N, Nanchang 330045, Peoples R China
[4] East China Survey & Planning Inst, Hangzhou 310019, Peoples R China
关键词
Climate change; Litsea cubeba; MaxEnt; Potentially suitable area; Species distribution models; Woody oil plant; SPECIES DISTRIBUTION; ESSENTIAL OIL; COMPLEXITY; ACCURACY; REGION; FRUITS; GIS;
D O I
10.1016/j.ecolind.2023.110093
中图分类号
X176 [生物多样性保护];
学科分类号
090705 ;
摘要
Litsea cubeba is an important woody oil plant. The essential oils (EOs) can be extracted from its flowers, leaves and peels and, by volume, it is the most exported natural EOs from China. Thus, L. cubeba has important economic and medicinal value. Although there is demand for the rapid expansion of L. cubeba production, there has been a sharp reduction in natural resources. Therefore, determining the potentially suitable area for L. cubeba and expanding its cultivation will help meet the growing demand for volatile oil. Based on 453 distribution records of L. cubeba in China and 16 major environmental factors, we simulated the distribution pattern of the potentially suitable area of L. cubeba under three different climate change scenarios (SSP126, SSP370 and SSP585) in three time periods: the current period, 2050 s, and 2070 s. The analysis was implemented using the MaxEnt model, optimized using the ENMeval package. The jackknife test, percent contribution and response curve were used to determine the most important environmental factors and response intervals affecting the distribution of L. cubeba. We found that the parameter settings of the optimal model were RM = 2.5 and FC = LQH. The results of the MaxEnt model exhibited a high prediction accuracy and a low degree of overfitting. Precipitation of the driest quarter, annual precipitation, temperature annual range and minimum temperature of the coldest month were the dominant factors affecting the distribution of L. cubeba, and their thresholds were >= 36.21 mm, >= 905.95 mm, <= 32.44 degrees C and >= -3.73 degrees C, respectively. The results showed that the total potentially suitable area of L. cubeba in China was 208.19 x 104 km2 under current climate conditions. The predicted potentially suitable area was mainly concentrated in the 19 provinces and cities in the Yangtze River Basin and its southern area. Under future climate change conditions, the predicted potentially suitable area of L. cubeba increased with time, and the centroid of the predicted potentially suitable area of each grade moved northward. The results of this study can be used to guide the selection of future introductions, as well as the development, artificial cultivation and resource conservation of L. cubeba.
引用
收藏
页数:13
相关论文
共 95 条
  • [1] Predicting the Habitat Suitability of Melaleuca cajuputi Based on the MaxEnt Species Distribution Model
    Ab Lah, Nor Zafirah
    Yusop, Zulkifli
    Hashim, Mazlan
    Salim, Jamilah Mohd
    Numata, Shinya
    [J]. FORESTS, 2021, 12 (11):
  • [2] Expanding or shrinking? range shifts in wild ungulates under climate change in Pamir-Karakoram mountains, Pakistan
    Ali, Hussain
    Din, Jaffar Ud
    Bosso, Luciano
    Hameed, Shoaib
    Kabir, Muhammad
    Younas, Muhammad
    Nawaz, Muhammad Ali
    [J]. PLOS ONE, 2021, 16 (12):
  • [3] Assessing the accuracy of species distribution models: prevalence, kappa and the true skill statistic (TSS)
    Allouche, Omri
    Tsoar, Asaf
    Kadmon, Ronen
    [J]. JOURNAL OF APPLIED ECOLOGY, 2006, 43 (06) : 1223 - 1232
  • [4] The Balkan long-eared bat (Plecotus kolombatovici) occurs in Italy - first confirmed record and potential distribution
    Ancillotto, L.
    Mori, E.
    Bosso, L.
    Agnelli, P.
    Russo, D.
    [J]. MAMMALIAN BIOLOGY, 2019, 96 (1) : 61 - 67
  • [5] 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
  • [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] A quantitative synthesis of the importance of variables used in MaxEnt species distribution models
    Bradie, Johanna
    Leung, Brian
    [J]. JOURNAL OF BIOGEOGRAPHY, 2017, 44 (06) : 1344 - 1361
  • [8] Buckman-Sewald Jessica, 2014, International Journal of Biodiversity and Conservation, V6, P171
  • [9] Che Le, 2014, Shengtaixue Zazhi, V33, P1623
  • [10] Chen W.J., 2012, NONWOOD FOR RES, V30, P155, DOI DOI 10.14067/J.CNKI.1003-8981.2012.04.010