Elsevier

Global and Planetary Change

Volume 131, August 2015, Pages 63-72
Global and Planetary Change

Spatiotemporal behavior of floods and droughts and their impacts on agriculture in China

https://doi.org/10.1016/j.gloplacha.2015.05.007Get rights and content

Highlights

  • First attempt in addressing flood- and drought-induced agricultural loss

  • Novel insight into flood- and drought-influenced crop areas

  • Impacts of precipitation regimes and human mitigations are included.

  • Provide solid evidence for diverse influences of floods and droughts on agriculture

Abstract

China is an agricultural country with the largest population in the world. However, intensification of droughts and floods and amplification of precipitation extremes are having critical negative impacts on agriculture. In this study, flood- and drought-affected, flood- and drought-damaged crop areas, and also flood- and drought-induced agricultural loss from 29 provinces across China are analyzed in both space and time. Results indicate the following: (1) Large parts of China are dominated by intensified floods. Comparatively, spatial ranges dominated by intensifying drought hazards are smaller than those by intensifying flood hazards. (2) Drought intensity is increasing in northwest China with moderate changes in the degree of influence. Increasing flood intensity can be observed in northwest, southwest and central China. However, flood risks are higher in arid regions such as northwest China and drought risks are higher in humid regions such as southwest China. (3) Agreements are identified between abrupt behaviors of flood-affected and -destroyed crop areas. The change points of flood-affected and -destroyed crop areas is in the 1980s in northeast, north and central China and in the 1990s in south and southwest China. Nevertheless, spatial patterns of the change points in the drought-affected and -destroyed crop areas are sporadic but not confirmative. (4) Flood- and drought-induced losses of agricultural production have significant increasing trends in most parts of China. The loss rate and loss magnitude of agriculture before change points are significantly higher than those after change points. (5) Generally, amplifications of precipitation extremes, decreasing consecutive wet days and increasing consecutive dry days in both space and time are the major driving factors behind the changes of drought- and flood-affected, and -destroyed crop areas and their impacts on agriculture across China. These results are theoretically and practically relevant for planning and management of agricultural activities and may help provide a theoretical framework for similar studies in other regions of the globe.

Introduction

Human-induced climate warming has been well evidenced and warming climate has the potential to accelerate the global- and continental-scale hydrological cycle (Alan et al., 2003, Zhang et al., 2013). Under the influence of warming climate, prime hydrological components, such as precipitation, are subject to alteration. Decreasing rainfall trend has been observed in the Mediterranean area (Karl, 1998) and significant decreasing trends in extreme rainfall have been observed in Western Australia (Haylock and Nicholls, 2000). However, an increasing trend in extreme precipitation was identified in the United States (e.g., Kunkel, 2003) and no trend in extreme rainfall was found in Canada (Zhang et al., 2001). Due to diverse underlying properties and various human activities, precipitation changes in China are varying significantly in both space and time (e.g. Wang and Zhou, 2005, Zhang et al., 2011a). Furthermore, spatiotemporal alterations of precipitation regimes due to warming climate and ENSO events evidently alter spatiotemporal patterns of floods and droughts (Zhang et al., 2011a, Zhang et al., 2013, Zhang et al., 2015). It should be noted that the rain-fed agriculture shoulders the largest burden of providing food in the developing countries (Sharma, 2011). Impacts of droughts, floods and precipitation changes on agriculture and hence the food security have been drawing increasing attention from academic communities in recent decades (Devereux, 2007, Douglas, 2009, Zhang et al., 2012a, Qin et al., 2014).

The human society faces diverse challenges to food security due to persistent population growth and rapid diet transition to decreasing cropland area and insufficient production practices (Beddington et al., 2012). Climate changes have the potential to exacerbate the already-fragile global food production system and the natural resource base (Ye et al., 2014). Global surface temperature has increased by 0.8 °C during the twentieth century; 3/4 of this increase occurred in the last three decades (Hansen et al., 2006, Ye et al., 2013, Ye et al., 2014). The acceleration in global warming and its associated changes in precipitation have already affected global agriculture and the food production system in many ways (Godfray et al., 2011, Ye et al., 2014). Due to catastrophic consequences of weather and hydrological extremes, such as floods, droughts, rainstorms, and heat waves and their negative effects on agricultural production, there have been a multitude of studies addressing agricultural loss as a result of agro-droughts and floods. Li et al. (2012) presented a preliminary methodology and an operational approach for assessing the risk of flood loss to the population, crops, housing, and the economy at the county level in China. Using a compatible crop model, Rosenzweig and Parry (1994) examined the potential impact of global change on food supply and price.

Agriculture is the major source of food and fiber, and it is particularly true for China. Besides, food security means a great deal for the stability of society in China. However, climate change adds a large degree of uncertainty to the projection of agricultural output, and food security will be the daunting challenge China will face. Therefore, it is important to evaluate spatiotemporal properties of droughts and floods in China and related impacts on agricultural production. Changes in precipitation and streamflow have been analyzed and their possible impacts on agriculture studied (Zhang et al., 2011b, Zhang et al., 2012a, Zhang et al., 2012b). Qin et al. (2014) quantitatively modeled the relationship between agro-drought and Chinese grain production. However, these studies did not address the abrupt behavior of flood and drought hazards and their impacts on agricultural production. Moreover, influences of floods and droughts on some specific agricultural production, such as rice, have not yet been investigated. Therefore, the objectives of this study are to: (1) investigate spatial patterns of drought- and flood-affected, and drought- and flood-destroyed crop areas, flood intensity and drought intensity and abrupt behaviors of flooding and drought regimes and their impacts on agricultural production, such as maize, rice and so on; and (2) analyze relations between occurrences of floods and droughts and loss of agricultural production. This study is of theoretical and practical merit in the management of agricultural activities and alleviation of negative effects of floods and droughts on agriculture in China.

Section snippets

Data

Data were collected for flood- and drought-affected, and flood- and drought-destroyed crop areas from 29 provinces of China; locations of these provinces are shown in Fig. 1. Data on agricultural production per hectare for agricultural stuff, rice, maize, corn, and soybean were collected for 1961–2010 from Ministry of Agriculture, China. Besides daily precipitation data from 554 meteorological stations covering the period of 1961–2010 were also collected (Fig. 1). The data were provided by the

Modified Mann–Kendall (MMK) trend test

Non-parametric trend detection methods have advantages over parametric statistics in terms of handling of outliers. Besides, the rank-based nonparametric Mann–Kendall (MK) test (Mann, 1945, Kendall, 1975) can test trends without requiring normality or linearity (Alan et al., 2003). However, negative influences of persistence on MK trends have been widely discussed and some techniques have been proposed to eliminate persistence effects (von Storch and Navarra, 1995). Hamed and Rao (1998)

Trends in the intensity and degree of influence of floods and droughts and their influence on agriculture across China

In this study, intensity of natural hazards (HI), e.g. floods and droughts, was defined as HI = hazard-affected crop area/total crop area; and the degree of influence of natural hazards (ID) was defined as ID = hazard-destroyed crop area/hazard-affected crop area. Spatial patterns of trends in HI and ID are shown in Fig. 2 which shows that increasing flood intensity is observed mainly in southwest and northwest China and parts of central China, such as Shannxi and Ningxia provinces. Moreover,

Conclusions

Flood- and drought-affected crop areas, flood- and drought-damaged crop areas, and flood- and drought-induced agricultural loss from 29 provinces across China are analyzed in both space and time. Furthermore, the underlying causes are investigated by analyzing precipitation regimes and human activities, such as construction of water reservoirs, irrigation and so forth. From analysis the following conclusions are drawn:

  • (1)

    Large parts of provinces in China are dominated by intensified floods and

Acknowledgments

This work is financially supported by the National Science Foundation for Distinguished Young Scholars of China (Grant No.: 51425903), Xinjiang Science and Technology Project (Grant no.: 201331104), the Key International Collaboration Project (Grant No.: 51320105010), and is fully supported by a grant from the Research Grants Council of the Hong Kong Special Administrative Region, China (Project No. CUHK441313). Finally, our cordial gratitude will be extended to the editor, Prof. Dr. Sierd

References (39)

  • M. Daufresne et al.

    Global warming benefits the small in aquatic ecosystems

    Proc. Natl. Acad. Sci. U. S. A.

    (2009)
  • S. Devereux

    The impact of droughts and floods on food security and policy options to alleviate negative effects

    Agric. Econ.

    (2007)
  • I. Douglas

    Climate change, flooding and food security in south Asia

    Food Sec.

    (2009)
  • R.O. Gilbert

    Sen's Nonparametric Estimator of Slope

    Statistical Methods for Environmental Pollution Monitoring

    (1987)
  • H.C.J. Godfray et al.

    Linking policy on climate and food

    Science

    (2011)
  • J. Hansen et al.

    Global temperature change

    Proc. Natl. Acad. Sci. U. S. A.

    (2006)
  • M. Haylock et al.

    Trends in rainfall indices for an updated high quality data set for Australia, 1910–1998

    Int. J. Climatol.

    (2000)
  • F. Jiang et al.

    Magnification of Flood Disasters and its relation to regional precipitation since the 1980s in Xinjiang, North-western China

    Nat. Hazards

    (2005)
  • T.R. Karl

    Regional trends and variations of temperature and precipitation

  • Cited by (126)

    View all citing articles on Scopus
    View full text