The potential habitat of desert locusts is contracting: predictions under climate change scenarios

被引:19
作者
Guan, Jingyun [1 ,2 ,3 ]
Li, Moyan [1 ,2 ]
Ju, Xifeng [1 ,2 ]
Lin, Jun [4 ]
Wu, Jianguo [4 ]
Zheng, Jianghua [1 ,2 ,5 ]
机构
[1] Xinjiang Univ, Coll Resources & Environm Sci, Urumqi, Xinjiang, Peoples R China
[2] Xinjiang Univ, Key Lab Oasis Ecol, Urumqi, Xinjiang, Peoples R China
[3] Xinjiang Univ Finance & Econ, Coll Tourism, Urumqi, Xinjiang, Peoples R China
[4] Locust & Rodent Control Headquarters Xinjiang, Urumqi, Xinjiang, Peoples R China
[5] Xinjiang Univ, Inst Arid Ecol & Environm, Urumqi, Xinjiang, Peoples R China
来源
PEERJ | 2021年 / 9卷
基金
中国国家自然科学基金;
关键词
Potential habitat; Shared socioeconomic pathways; Climate change; Maximum entropy; Desert locust; SPECIES DISTRIBUTION MODELS; GEOGRAPHICAL-DISTRIBUTION; DISTRIBUTIONS; PERFORMANCE; ORTHOPTERA; INDICATOR; SELECTION; ACCURACY; PLAGUE; EXTENT;
D O I
10.7717/peerj.12311
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
Desert locusts are notorious for their widespread distribution and strong destructive power. Their influence extends from the vast arid and semiarid regions of western Africa to northwestern India. Large-scale locust outbreaks can have devastating consequences for food security, and their social impact may be long-lasting. Climate change has increased the uncertainty of desert locust outbreaks, and predicting suitable habitats for this species under climate change scenarios will help humans deal with the potential threat of locust outbreaks. By comprehensively considering climate, soil, and terrain variables, the maximum entropy (MaxEnt) model was used to predict the potential habitats of solitary desert locusts in the 2050s and 2070s under the four shared socioeconomic pathways (SSP126, SSP245, SSP370, and SSP585) in the CMIP6 model. The modeling results show that the average area under the curve (AUC) and true skill statistic (TSS) reached 0.908 +/- 0.002 and 0.701, respectively, indicating that the MaxEnt model performed extremely well and provided outstanding prediction results. The prediction results indicate that climate change will have an impact on the distribution of the potential habitat of solitary desert locusts. With the increase in radiative forcing overtime, the suitable areas for desert locusts will continue to contract, especially in the 2070s under the SSP585 scenario, and the moderately and highly suitable areas will decrease by 0.88 x 10(6) km(2) and 1.55 x 10(6) km(2), respectively. Although the potentially suitable area for desert locusts is contracting, the future threat posed by the desert locust to agricultural production and food security cannot be underestimated, given the combination of maintained breeding areas, frequent extreme weather events, pressure from population growth, and volatile sociopolitical environments. In conclusion, methods such as monitoring and early warning, financial support, regional cooperation, and scientific prevention and control of desert locust plagues should be further implemented.
引用
收藏
页数:25
相关论文
共 64 条
  • [1] Future drought risk in Africa: Integrating vulnerability, climate change, and population growth
    Ahmadalipour, Ali
    Moradkhani, Hamid
    Castelletti, Andrea
    Magliocca, Nicholas
    [J]. SCIENCE OF THE TOTAL ENVIRONMENT, 2019, 662 : 672 - 686
  • [2] 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
  • [3] Projected Change in Temperature and Precipitation Over Africa from CMIP6
    Almazroui, Mansour
    Saeed, Fahad
    Saeed, Sajjad
    Nazrul Islam, M.
    Ismail, Muhammad
    Klutse, Nana Ama Browne
    Siddiqui, Muhammad Haroon
    [J]. EARTH SYSTEMS AND ENVIRONMENT, 2020, 4 (03) : 455 - 475
  • [4] 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
  • [5] 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
  • [6] DEVELOPMENT AND TERMINATION OF 1968 PLAGUE OF DESERT LOCUST, SCHISTOCERCA-GREGARIA (FORSKAL) (ORTHOPTERA, ACRIDIDAE)
    BENNETT, LV
    [J]. BULLETIN OF ENTOMOLOGICAL RESEARCH, 1976, 66 (03) : 511 - 552
  • [7] Spatial filtering to reduce sampling bias can improve the performance of ecological niche models
    Boria, Robert A.
    Olson, Link E.
    Goodman, Steven M.
    Anderson, Robert P.
    [J]. ECOLOGICAL MODELLING, 2014, 275 : 73 - 77
  • [8] Brader L., 2006, Towards a more effective response to Desert Locusts and their impacts on food security. livelihoods and poverty. Multilateral evaluation of the 2003-05 Desert Locust campaign
  • [9] CABI, 2021, Invasive Species Compendium
  • [10] The desert locust upsurge in West Africa (2003-2005): Information on the desert locust early warning system and the prospects for seasonal climate forecasting
    Ceccato, Pietro
    Cressman, Keith
    Giannini, Alessandra
    Trzaska, Sylwia
    [J]. INTERNATIONAL JOURNAL OF PEST MANAGEMENT, 2007, 53 (01) : 7 - 13