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E. RoTimi Ojo
and
Lynn Manaigre

Manitoba, the longitudinal center of Canada, is the easternmost of the three Canadian prairie provinces with a population of about 1.28 million people and population density of 2.3 people km −2 ( Statistics Canada 2017 ). The fertile prairie soil creates thriving agricultural communities in the southern region of the province where most of the agricultural production occurs. This region of the province is referred to as agro-Manitoba and it extends south from the 53rd parallel to the U

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George B. Frisvold
and
Anand Murugesan

used in regression analyses (regressions are used to test hypotheses concerning determinants of weather data use); (iv) discuss results; and (v) summarize main findings and suggests areas of future research. 2. Empirical specification Here, we introduce a discrete choice framework that treats acquisition and use of weather data as part of an agricultural decision-maker’s utility function. Utility is a measure of benefit or satisfaction the producer derives. Information use is a choice variable

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Kwang-Hyung Kim
,
Chris D. Hewitt
,
Hideki Kanamaru
,
Jorge Alvar-Beltrán
,
Ana Heureux
,
Sook-Young Park
,
Min-Hye Jung
, and
Robert Stefanski

The COVID-19 pandemic created new challenges for food security, such as increased price volatility and destabilized supply chains due to labor shortages, restricted mobility, and general uncertainty, worsening the severity of preexisting food crises due to climate change ( FAO 2021 ; Phillips et al. 2020 ). In addition, the feasibility of conducting face-to-face services and providing farmers with weather-informed agricultural advisories has been reduced in many countries ( FAO 2020 ). While

Open access
Kari E. Skaggs
and
Suat Irmak

1. Introduction The impacts of climate change on agriculture are dependent on the magnitude and type of climate change and the mitigation and adaptation practices undertaken by agricultural producers and managers ( Parry 1989 ; Easterling et al. 1993 ; Southworth et al. 2000 ). By considering the observed trends, adjustments and adaptations will need to be made in order to exploit favorable agricultural conditions and to mitigate negative effects in maintaining optimal agricultural

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S. Irmak
and
M.S. Kukal

1. Introduction Because of its importance for the Turkish and regional economy, it is critical that agricultural enterprise is carefully analyzed and characterized for threats and opportunities. In the recent decades, these threats and opportunities have mainly risen from climatic perturbations. Using actual precipitation index, which can be applied regardless of the data distribution unlike standard precipitation index, Şen and Almazroui (2021) recently reported drought characteristics

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Renie Oelviani
,
Witono Adiyoga
,
I Gede Mahatma Yuda Bakti
,
Tota Suhendrata
,
Afrizal Malik
,
Chanifah Chanifah
,
Samijan Samijan
,
Dewi Sahara
,
Himawan Arif Sutanto
,
Munir Eti Wulanjari
,
Budi Utomo
,
Arif Susila
,
Ratih Kurnia Jatuningtyas
, and
Yennita Sihombing

likely reduce 10–20 million hectares of arable land to zero productivity annually ( Bridges and Oldeman 1999 ). The coastline of Indonesia is densely populated with around 150 million people (about 55% of the total population) who live and rely on agricultural activities and marine resources for their livelihoods. Most of those who work in on farms grow rice as the staple food of Indonesians. Indonesia has about 140 300 ha of saline land and 304 000 ha of slightly saline land ( Rachman et al. 2018

Open access
Rachel E. Schattman
,
Stephanie E. Hurley
,
Holly L. Greenleaf
,
Meredith T. Niles
, and
Martha Caswell

1. Introduction Climate change and shifts in weather patterns are expected to present many challenges to agricultural sectors worldwide ( Hatfield et al. 2018 ; Walthall et al. 2012 ), as changing temperatures, precipitation regimes, pest and disease pressure, and rising instances of extreme weather events put increasing pressure on existing productions systems ( Gowda et al. 2018 ). Agricultural systems are vulnerable to changing climatic conditions, with potential impacts spanning economic

Free access
Eunjin Han
,
Wade T. Crow
,
Thomas Holmes
, and
John Bolten

1. Introduction In water limited ecosystems, soil water content in the root zone is a strong predictor of future vegetation condition ( Adegoke and Carleton 2002 ; Wang et al. 2007 ). Therefore, characterization of root-zone soil moisture plays a critical role for crop yield forecasting and agricultural drought monitoring systems ( Bolten et al. 2010 ). The availability of satellite-based remote sensing data has accelerated the development of drought early warning systems by providing

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Jason A. Otkin
,
Tonya Haigh
,
Anthony Mucia
,
Martha C. Anderson
, and
Christopher Hain

1. Introduction The comprehensive monitoring of agricultural and ecological drought conditions during the growing season requires a suite of datasets that can capture different aspects of a drought event, such as below-normal precipitation, soil moisture, and evapotranspiration (ET); increased evaporative demand; and associated deteriorations in vegetation health. In recent years, the proliferation of drought and vegetation indices derived from satellite remote sensing observations has promoted

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Catherine Champagne
,
Andrew Davidson
,
Patrick Cherneski
,
Jessika L’Heureux
, and
Trevor Hadwen

1. Introduction Agricultural risk assessment is a key tool for determining potential and actual losses in food production that result from climatic extremes such as deficits and excesses of moisture in the soil and at the surface. Soil moisture is a key determinant of crop production, impacting field accessibility for seeding, harvest, and field management; sustaining productive crop growth; and often determining vulnerability of crops to disease and pests. Characterizing soil moisture and soil

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