This article Citation:

Sushilkumar, Archana Anokhe, Neelu Singh and Mudagadde G. Deeksha. 2024. Climate change effect on the efficacy of biological control agents of terrestrial and aquatic invasive weeds . Indian Journal of Weed Science : 56( ) 449- 460.







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Indian Society of Weed Science
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Indian Society of Weed Science
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Volume Issue Publication year Page No Type of article
56 2024 449-460 Review article
Climate change effect on the efficacy of biological control agents of terrestrial and aquatic invasive weeds

Sushilkumar, Archana Anokhe, Neelu Singh and Mudagadde G. Deeksha

DOI: http://dx.doi.org/10.5958/0974-8164.2024.00066.6

Email: sknrcws@gmail.com
Address: ICAR-Directorate of Weed Research, Maharajpur, Jabalpur, Madhya Pradesh, India 482004

Keywords:

Aquatic weeds, Biocontrol agents, Biological control, Climate change, CO2, Invasive weeds, Weed biology



Abstract:

Climate change may affect the weed biology and ability to thrive well in adverse situations in comparison to biocontrol agents used to manage these weeds though biological control methods. The complex interactions between invasive terrestrial and aquatic weeds and their biocontrol agents have challenges under climate change scenarios. Increased climatic parameters like temperature, CO2 and rainfall have been documented well for increasing the fitness of terrestrial and aquatic weeds in different areas. Some studies have also pointed out the effect of elevated temperature, CO2 and rainfall on the insect life-cycle and their performance to manage the invasive weeds by the biocontrol agents. Many prediction models based on climatic parameters have been developed in context to the distribution and range expansion of terrestrial and aquatic weeds and also suitability of their biocontrol agents to manage them. In this review, we synthesize and discuss studies describing the potential of biocontrol agents for the management of invasive terrestrial and aquatic weeds under climate change in context to India and the world as well. We also discuss potential methodologies of prediction models that can be used for the fast establishment of biocontrol agents against the invasive weeds under climate change. 





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