Temperature based indicators to develop adaptive responses for crop production in Florida, USA

Crop failure temperatures (CFTs) are critical upper threshold temperatures above which plant growth and development stop. Climate variability with CFTs has an essential impact on agriculture, which leads to a decrease in plant yield to nearly zero. This study innovatively combines data analysis and...

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Autores principales:	Anjali Sharma, Aavudai Anandhi
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Climate variability Extreme high temperature change Crop failure temperatures Coupled Model Inter-comparison Project Phase5 (CMIP5) Adaptation strategies Driver-Pressure-State-Impact-Response (DPSIR) Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/8041e657b887471ab8588a78859080eb
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spelling	oai:doaj.org-article:8041e657b887471ab8588a78859080eb2021-12-01T04:33:58ZTemperature based indicators to develop adaptive responses for crop production in Florida, USA1470-160X10.1016/j.ecolind.2020.107064https://doaj.org/article/8041e657b887471ab8588a78859080eb2021-02-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X20310037https://doaj.org/toc/1470-160XCrop failure temperatures (CFTs) are critical upper threshold temperatures above which plant growth and development stop. Climate variability with CFTs has an essential impact on agriculture, which leads to a decrease in plant yield to nearly zero. This study innovatively combines data analysis and analysis of published literature to develop causal chains/loops using Driver-Pressure-State-Impact-Responses (DPSIR) framework. In data analysis, CFTs trends were estimated from 21 models participating in the Coupled Model Inter-comparison Project Phase 5 (CMIP5) for the historical (1950–2005) and future scenarios (RCP 8.5, 2006–2100) at a spatial resolution of 0.125°x0.125° over Florida region. From the scenario funnel plots, it is evident that the frequency of number days above CFTs was found to be increasing at the rate of 2 days/year, and maximum mean temperature intensity was found in the range of 0.02 to 0.04 °C/year till 21st century. The causal chain and loop help to understand the complex structure and feedback mechanism for CFTs. This also helps in bridging the gap between climate and crop to address the adaptation strategies if the impacts are known. Adaptation strategies from the effects of the crops found to be promising to mitigate the effects of climate on crop and which can be used by the stakeholders and managers for their own use.Anjali SharmaAavudai AnandhiElsevierarticleClimate variabilityExtreme high temperature changeCrop failure temperaturesCoupled Model Inter-comparison Project Phase5 (CMIP5)Adaptation strategiesDriver-Pressure-State-Impact-Response (DPSIR)EcologyQH540-549.5ENEcological Indicators, Vol 121, Iss , Pp 107064- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Climate variability Extreme high temperature change Crop failure temperatures Coupled Model Inter-comparison Project Phase5 (CMIP5) Adaptation strategies Driver-Pressure-State-Impact-Response (DPSIR) Ecology QH540-549.5
spellingShingle	Climate variability Extreme high temperature change Crop failure temperatures Coupled Model Inter-comparison Project Phase5 (CMIP5) Adaptation strategies Driver-Pressure-State-Impact-Response (DPSIR) Ecology QH540-549.5 Anjali Sharma Aavudai Anandhi Temperature based indicators to develop adaptive responses for crop production in Florida, USA
description	Crop failure temperatures (CFTs) are critical upper threshold temperatures above which plant growth and development stop. Climate variability with CFTs has an essential impact on agriculture, which leads to a decrease in plant yield to nearly zero. This study innovatively combines data analysis and analysis of published literature to develop causal chains/loops using Driver-Pressure-State-Impact-Responses (DPSIR) framework. In data analysis, CFTs trends were estimated from 21 models participating in the Coupled Model Inter-comparison Project Phase 5 (CMIP5) for the historical (1950–2005) and future scenarios (RCP 8.5, 2006–2100) at a spatial resolution of 0.125°x0.125° over Florida region. From the scenario funnel plots, it is evident that the frequency of number days above CFTs was found to be increasing at the rate of 2 days/year, and maximum mean temperature intensity was found in the range of 0.02 to 0.04 °C/year till 21st century. The causal chain and loop help to understand the complex structure and feedback mechanism for CFTs. This also helps in bridging the gap between climate and crop to address the adaptation strategies if the impacts are known. Adaptation strategies from the effects of the crops found to be promising to mitigate the effects of climate on crop and which can be used by the stakeholders and managers for their own use.
format	article
author	Anjali Sharma Aavudai Anandhi
author_facet	Anjali Sharma Aavudai Anandhi
author_sort	Anjali Sharma
title	Temperature based indicators to develop adaptive responses for crop production in Florida, USA
title_short	Temperature based indicators to develop adaptive responses for crop production in Florida, USA
title_full	Temperature based indicators to develop adaptive responses for crop production in Florida, USA
title_fullStr	Temperature based indicators to develop adaptive responses for crop production in Florida, USA
title_full_unstemmed	Temperature based indicators to develop adaptive responses for crop production in Florida, USA
title_sort	temperature based indicators to develop adaptive responses for crop production in florida, usa
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/8041e657b887471ab8588a78859080eb
work_keys_str_mv	AT anjalisharma temperaturebasedindicatorstodevelopadaptiveresponsesforcropproductioninfloridausa AT aavudaianandhi temperaturebasedindicatorstodevelopadaptiveresponsesforcropproductioninfloridausa
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Temperature based indicators to develop adaptive responses for crop production in Florida, USA

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