Agro-ecosystem based sustainability indicators for climate resilient agriculture in India: A conceptual framework

Rao, Ch. Srinivasa; Kareemulla, K.; Krishnan, P.; Murthy, G.R.K.; Ramesh, P.; Ananthan, P. S.; Joshi, P. K.

doi:10.1016/j.ecolind.2018.06.038

Cited by 79 publications

(26 citation statements)

References 36 publications

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“…Agricultural resilience and sustainability are generally assessed together in comprehensive frameworks accounting for socio-economic, biophysical, environmental and climatic indicators ( Seekell et al, 2017 ; Zampieri et al, 2019b ). Extensive literature reviews identified 30 relevant agro-ecosystem based sustainability indicators for climate resilient agriculture ( Srinivasa Rao et al, 2018 ) and 15 different tools to assess resilience ( Douxchamps et al, 2017 ). Notably, FAO developed a complex framework accounting for a large number of indicators ( Russo and D'Errico, 2016 ).…”

Section: Introductionmentioning

confidence: 99%

“…Previous resilience analyses involved agricultural production indicators based on the mean and the inter-annual variability of crop production ( Gil et al, 2017 ; Kahiluoto et al, 2019a ; Khumairoh et al, 2018 ; Srinivasa Rao et al, 2018 ; Yang et al, 2019a , Yang et al, 2019b ; Zimmerer and De Haan, 2017 ). The aim of this study is to contribute to the existing resilience assessment frameworks and to improve the understanding and the estimation of crop production system resilience from annual production time series.…”

Section: Introductionmentioning

confidence: 99%

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Estimating resilience of crop production systems: From theory to practice

Zampieri

Weissteiner

Grizzetti

et al. 2020

Science of The Total Environment

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Agricultural production systems are sensitive to weather and climate anomalies and extremes as well as to other environmental and socio-economic adverse events. An adequate evaluation of the resilience of such systems helps to assess food security and the capacity of society to cope with the effects of global warming and the associated increase of climate extremes. Here, we propose and apply a simple indicator of resilience of annual crop production that can be estimated from crop production time series. First, we address the problem of quantifying resilience in a simplified theoretical framework, focusing on annual crops. This results in the proposal of an indicator, measured by the reciprocal of the squared coefficient of variance, which is proportional to the return period of the largest shocks that the crop production system can absorb, and which is consistent with the original ecological definition of resilience. Subsequently, we show the sensitivity of the crop resilience indicator to the level of management of the crop production system, to the frequency of extreme events as well as to simplified socio-economic impacts of the production losses. Finally, we demonstrate the practical applicability of the indicator using historical production data at national and sub-national levels for France. The results show that the value of the resilience indicator steeply increases with crop diversity until six crops are considered, and then levels off. The effect of diversity on production resilience is highest when crops are more diverse (i.e. as reflected in less well correlated production time series). In the case of France, the indicator reaches about 60% of the value that would be expected if all crop production time-series were uncorrelated.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Estimating resilience of crop production systems: From theory to practice

Zampieri

Weissteiner

Grizzetti

et al. 2020

Science of The Total Environment

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show abstract

“…In fact, a quantitative estimation of resilience requires objective methods to identify and measure the external stresses and shocks (Meyer, 2016). Also as a result of such indeterminacy, a large number of indicators was proposed to measure different aspects of resilience (De Keersmaecker et al, 2014b;Meyer, 2016;Scheffer et al, 2015;Srinivasa Rao et al, 2018).…”

Section: Methodsmentioning

confidence: 99%

Rise and fall of vegetation primary production resilience to climate variability anticipated by a large ensemble of Earth System Models’ simulations

Zampieri¹,

Grizzetti²,

Toreti³

et al. 2021

Preprint

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Climate change is affecting many aspects of natural ecosystems and society. Anticipating the changes in vegetation resilience -the plants' capacity to cope with disturbances and shocks such as those related to climate variability and extremesis critical to understand and project ecosystems' responses to global change and the impacts on the related ecosystem services, to support mitigation actions, and to define proper adaptation plans.Here, we quantify vegetation gross primary production (GPP) resilience by computing the annual production resilience indicator from the state-of-the-art Earth System Model (ESM) simulations included in the newest Sixth Phase of the Coupled Model Intercomparison Project (CMIP6). Taking the present period as reference, we estimate the GPP resilience changes for different periods in the near and far future (2021-2050 and 2051-2100) under three scenarios of socioeconomical global changes, corresponding to different levels of greenhouse gases' emissions and land-use.In the 'Sustainability (Taking the Green Road)' and 'Middle of the Road' scenarios considered here (ssp126 and ssp245), the areas where vegetation shows increasing GPP resilience (mainly boreal, African and Indian monsoonal regions) are wider than the areas with decreasing resilience. The situation drastically reverses in the 'Fossil-fuel Development (Taking the Highway)' scenario (ssp585), mostly because the increase of GPP interannual variability outbalances the mean increase due to the CO2 fertilization effect in this high greenhouse gases' emission scenario. Among the larger countries, Brazil is exposed to the highest risk of experiencing years with anomalously low GPP, especially in the 'Taking the Highway' scenario.

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“…There is a growing number of studies on food system resilience in rural and marginalized communities and neglected territories that focus on the role of natural resources [ 23 , 24 , 25 ]. Most of the studies on food systems resilience have focused on the measurement or assessment of livelihood, community resilience [ 26 , 27 , 28 , 29 , 30 , 31 ], determinants of livelihood resilience [ 20 , 32 , 33 ], and the linkages between sustainable agricultural practices and resilience [ 33 , 34 , 35 ]. However, less attention has been given to the functional properties of ecosystem services and their contribution in offsetting the effects of climate-related natural hazards at the smallholder food system level.…”

Section: Introductionmentioning

confidence: 99%

Considering Ecosystem Services in Food System Resilience

Varyvoda

Taren

2022

IJERPH

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The prevalence and severity of natural hazards pose a serious risk to food systems, undermining their function to provide food security and improved nutrition. The impact of such events is extensive, and the level of damage and recovery significantly depend on ecosystem services, including their own resilience capacity. This paper provides evidence that the role, value, and utilization of local ecosystem services are essential for food system resilience and for food security in parts of the world where high vulnerability and lack of coping capacity exist to combat climate change. Patterns of ecosystem services-based strategies were revealed that can be introduced to cope and adapt to climate-related natural hazards at the smallholder food system level. The study suggests that food system diversification, technological innovations and nature-based practices, and traditional and indigenous knowledge operationalized across the food system components have a potential for sustaining smallholder resilience in the face of natural hazards.

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Agro-ecosystem based sustainability indicators for climate resilient agriculture in India: A conceptual framework

Cited by 79 publications

References 36 publications

Estimating resilience of crop production systems: From theory to practice

Estimating resilience of crop production systems: From theory to practice

Rise and fall of vegetation primary production resilience to climate variability anticipated by a large ensemble of Earth System Models’ simulations

Considering Ecosystem Services in Food System Resilience

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