Invasion risk assessment using trait-environment and species distribution modelling techniques in an arid protected area: Towards conservation prioritization

被引:0
|
作者
El-Barougy, Reham F. [1 ,2 ]
Dakhil, Mohammed A. [3 ]
Halmy, Marwa W. [4 ]
Gray, Sarah M. [2 ]
Abdelaal, Mohamed [5 ]
Khedr, Abdel-Hamid A. [1 ]
Bersier, Louis-Felix [2 ]
机构
[1] Damietta Univ, Fac Sci, Bot & Microbiol Dept, Dumyat 34518, Egypt
[2] Univ Fribourg, Dept Biol Ecol & Evolut, Chemin Musee 10, CH-1700 Fribourg, Switzerland
[3] Helwan Univ, Fac Sci, Bot & Microbiol Dept, Cairo 11790, Egypt
[4] Alexandria Univ, Fac Sci, Dept Environm Sci, POB 21511, Alexandria, Egypt
[5] Mansoura Univ, Fac Sci, Dept Bot, Mansoura 35516, Egypt
基金
瑞士国家科学基金会;
关键词
Biotic and abiotic indicators; Invasive species; Microhabitat suitability; Human influence; Invasion risk; Arid ecosystem; Conservation priority; POTENTIAL DISTRIBUTION; EUCALYPTUS-GLOBULUS; ESTABLISHMENT; VEGETATION; DIVERSITY; IMPACT; SHRUBS; SINAI; LAND;
D O I
10.1016/j.ecolind.2021.107951
中图分类号
X176 [生物多样性保护];
学科分类号
090705 ;
摘要
Invasive species are considered as one of the key threats to biodiversity and human livelihoods globally. The most effective strategy for handling invasion would be based on profiling invasive species and identifying areas at risk of invasion before they occur. The current study used a trait-environment modelling approach to identify alien species with high probability of invasiveness and combined this with the species distribution models (SDMs) to predict areas in the arid Saint Katherine Protectorate (SKP) in Egypt that were at highest risk of invasion by these species. The specific leaf area, number of leaves, soil nitrogen, and prevalence of disturbances were the most important biotic and abiotic indicators for predicting invasiveness in SKP. Of the investigated 33 alien plant species, three species were identified to have the highest probability of invasiveness, including Salvia rosmarinus, Eucalyptus globulus, and Acacia saligna. The outcome of the SDMs revealed that precipitation seasonality and temperature-related variables were the most important bioclimatic predictors determining the potential invasion risk of the studied alien species. Potential invasion is more likely in the eastern and northern parts of SKP, where biodiversity-rich common microhabitats are found and where there is a prevalence of disturbances such as tourism activities. The Etalaa, Shaq Mosa, and El-Mesirdi wadis microhabitats, in particular, were identified in the current study to be potentially highly suitable microhabitats for alien invasiveness and should be prioritized for monitoring and conservation actions. Moreover, the three identified species could be used as early indicators for microhabitats at risk of invasion along the environmental gradients of temperature and precipitation in arid ecosystems. This approach can be applied to other taxa and other ecosystems and can provide opportunities for formulating proactive management strategies against biological invasions.
引用
收藏
页数:9
相关论文
共 8 条
  • [1] Invasion risk assessment using trait-environment and species distribution modelling techniques in an arid protected area: Towards conservation prioritization
    El-Barougy, Reham F.
    Dakhil, Mohammed A.
    Halmy, Marwa W.
    Gray, Sarah M.
    Abdelaal, Mohamed
    Khedr, Abdel-Hamid A.
    Bersier, Louis-Félix
    [J]. Ecological Indicators, 2021, 129
  • [2] Plant invasion risk: A quest for invasive species distribution modelling in managing protected areas
    Bazzichetto, Manuele
    Malavasi, Marco
    Bartak, Vojtech
    Acosta, Alicia Teresa Rosario
    Rocchini, Duccio
    Carranza, Maria Laura
    [J]. ECOLOGICAL INDICATORS, 2018, 95 : 311 - 319
  • [3] Reassessment of the conservation status and protected area coverage of Taiwanese birds: How distribution modelling can help species conservation
    Wu, Tsai-Yu
    Walther, Bruno A.
    Chen, Yi-Hsiu
    Lin, Ruey-Shing
    Lee, Pei-Fen
    [J]. BIRD CONSERVATION INTERNATIONAL, 2014, 24 (02) : 223 - 238
  • [4] Conservation status assessment of banana crop wild relatives using species distribution modelling
    Mertens, Arne
    Swennen, Rony
    Ronsted, Nina
    Vandelook, Filip
    Panis, Bart
    Sachter-Smith, Gabriel
    Vu, Dang Toan
    Janssens, Steven B.
    [J]. DIVERSITY AND DISTRIBUTIONS, 2021, 27 (04) : 729 - 746
  • [5] Ecological coherence of marine protected area networks: a spatial assessment using species distribution models
    Sundblad, Goran
    Bergstrom, Ulf
    Sandstrom, Alfred
    [J]. JOURNAL OF APPLIED ECOLOGY, 2011, 48 (01) : 112 - 120
  • [6] Ecological risk assessment for xylenes and propylbenzenes in aquatic environment using a species sensitivity distribution approach
    Li, Haiping
    Meng, Fanping
    Li, Aifeng
    [J]. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY, 2023, 261
  • [7] Potential distribution modelling, niche characterization and conservation status assessment using GIS tools:: a case study of Iberian Copris species
    Chefaoui, RM
    Hortal, J
    Lobo, JM
    [J]. BIOLOGICAL CONSERVATION, 2005, 122 (02) : 327 - 338
  • [8] Distribution modelling and climate change risk assessment strategy for rare Himalayan Galliformes species using archetypal data abundant cohorts for adaptation planning
    Bagaria, Priyamvada
    Thapa, Avantika
    Sharma, Lalit Kumar
    Joshi, Bheem Dutt
    Singh, Hemant
    Sharma, Chandra Maya
    Sarma, Joyashree
    Thakur, Mukesh
    Chandra, Kailash
    [J]. CLIMATE RISK MANAGEMENT, 2021, 31