Assessing agricultural system vulnerability to floods: A hybrid approach using emergy and a landscape fragmentation index

Wu, Feng; Sun, Youhong; Sun, Zhongxiao; Wu, Sihong; Zhang, Qian

doi:10.1016/j.ecolind.2017.10.050

Cited by 28 publications

(13 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Agriculture is susceptible to temperature variation, mostly in developing countries, and it relies on precipitation for its production; therefore, climate change plays an important role in determining food security (Gregory, Ingram, & Brklacich, 2005; McNeill et al, 2017; Wheeler & Von Braun, 2013). Among its effects, extreme climate events, droughts, floods, changes in precipitation and temperature, and sea‐level rise threatens food systems and jeopardize food security (Thomas, 2008; Trinh, Duong, Van Der Steen, & Lens, 2013; Wu, Sun, Sun, Wu, & Zhang, 2017).…”

Section: Literature Reviewmentioning

confidence: 99%

“…The impact of climatic changes and variations is well documented regarding changes in agricultural yields, crops and livestock losses (Ghahramani & Moore, 2016; Godfray et al, 2012; Li, Wang, Ning, & Luo, 2016; Thornton, van de Steeg, Notenbaert, & Herrero, 2009; Wang et al, 2016; Wu et al, 2017). There is a significant increase in climatic alterations with both positive and negative impacts for agriculture, depending on the analyzed region (see Table 1).…”

Section: Literature Reviewmentioning

confidence: 99%

“…Climate instability forces farmers to adopt different production methods, which include reductions in crop rotation periods, intensification of crop density, and excessive use of agrochemicals for fertilization and crop maintenance (Wu et al, 2017). In some regions, farmers are adapting to climate change by altering harvesting patterns and crop rotations using anticipated sowing, plantations with shorter growth time and switching to crops that are more tolerant to higher temperatures, droughts and salinity (Alauddin & Sarker, 2014; Alcamo et al, 2007; Rowhani, Lobell, Linderman, & Ramankutty, 2011; Thomas, 2008).…”

Section: Literature Reviewmentioning

confidence: 99%

See 2 more Smart Citations

Food stability model: A framework to support decision‐making in a context of climate change

Ribeiro

Berchin

Neiva

et al. 2020

Sustainable Development

View full text Add to dashboard Cite

Global environmental changes coupled with socioeconomic changes are major challenges to food security. Changes in climate affect most food crops, particularly in countries that rely on agriculture for subsistence. The article proposes a model to analyze food stability in the context of climate change. Genetic improvement, agrobiodiversity, sustainable intensification, climate monitoring, and market monitoring were considered key perspectives for the balanced scorecard to achieve stability in food production. The set of perspectives and indicators were validated by 185 experts, which supported the creation of a balanced scorecard map to assist decision‐making. Therefore, the model could serve as an addition to FAO's approach to food security, driving actions related to global food policy. This research can also assist governmental policies to mitigate the effects of climate change on food stability around the world.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

See 1 more Smart Citation

Food stability model: A framework to support decision‐making in a context of climate change

Ribeiro

Berchin

Neiva

et al. 2020

Sustainable Development

View full text Add to dashboard Cite

show abstract

“…Land-use changes contribute to an increased frequency and intensity of floods by increasing surface runoff [36]. Flood hazard events often occur in areas with dense population or high levels of agricultural land reclamation [37,38].…”

Section: Discussionmentioning

confidence: 99%

Flood Vulnerability, Environmental Land Use Conflicts, and Conservation of Soil and Water: A Study in the Batatais SP Municipality, Brazil

Caldas

Pissarra

Costa

et al. 2018

Water

View full text Add to dashboard Cite

In many regions across the planet, flood events are now more frequent and intense because of climate change and improper land use, resulting in risks to the population. However, the procedures to accurately determine the areas at risk in regions influenced by inadequate land uses are still inefficient. In rural watersheds, inadequate uses occur when actual uses deviate from land capability, and are termed environmental land use conflicts. To overcome the difficulty to evaluate flood vulnerability under these settings, in this study a method was developed to delineate flood vulnerability areas in a land use conflict landscape: the Batatais municipality, located in the State of São Paulo, Brazil. The method and its implementation resorted to remote sensed data, geographic information systems and geo-processing. Satellite images and their processing provided data for environmental factors such as altitude, land use, slope, and soil class in the study area. The importance of each factor for flood vulnerability was evaluated through the analytical hierarchy process (AHP). According to the results, vast areas of medium to high flood vulnerability are located in agricultural lands affected by environmental land use conflicts. In these areas, amplified flood intensities, soil erosion, crop productivity loss and stream water deterioration are expected. The coverage of Batatais SP municipality by these vulnerable areas is so extensive (60%) that preventive and recovery measures were proposed in the context of a land consolidation–water management plan aiming flood control and soil and water conservation.

show abstract

“…Luu et al analysed flood hazard using flood mark data, including flood depth and flood duration [22]. Based on the combining of exposure, sensitivity, and adaptability, Wu et al assessed agricultural vulnerability to floods by using emergy and a landscape fragmentation index [23]. Paprotny et al utilized a gridded reconstruction of flood exposure in 37 European countries and a new database of damaging floods since 1870 [24].…”

Section: Introductionmentioning

confidence: 99%

Quantitative Agricultural Flood Risk Assessment Using Vulnerability Surface and Copula Functions

Zhang

Liu

Guo

et al. 2018

Water

View full text Add to dashboard Cite

Agricultural flood disaster risk assessment plays a vital role in agricultural flood disaster risk management. Extreme precipitation events are the main causes of flood disasters in the Midwest Jilin province (MJP). Therefore, it is important to analyse the characteristics of extreme precipitation events and assess the flood risk. In this study, the Multifractal Detrended Fluctuation Analysis (MF-DFA) method was used to determine the threshold of extreme precipitation events. The total duration of extreme precipitation and the total extreme precipitation were selected as flood indicators. The copula functions were then used to determine the joint distribution to calculate the bivariate joint return period, which is the flood hazard. Historical data and flood indicators were used to build an agricultural flood disaster vulnerability surface model. Finally, the risk curve for agricultural flood disasters was established to assess the flood risk in the MJP. The results show that the proposed approaches precisely describe the joint distribution of the flood indicators. The results of the vulnerability surface model are in accordance with the spatiotemporal distribution pattern of the agricultural flood disaster loss in this area. The agricultural flood risk of the MJP gradually decreases from east to west. The results provide a firm scientific basis for flood control and drainage plans in the area.

show abstract

Assessing agricultural system vulnerability to floods: A hybrid approach using emergy and a landscape fragmentation index

Cited by 28 publications

References 33 publications

Food stability model: A framework to support decision‐making in a context of climate change

Food stability model: A framework to support decision‐making in a context of climate change

Flood Vulnerability, Environmental Land Use Conflicts, and Conservation of Soil and Water: A Study in the Batatais SP Municipality, Brazil

Quantitative Agricultural Flood Risk Assessment Using Vulnerability Surface and Copula Functions

Contact Info

Product

Resources

About