Aggregate index of social–environmental sustainability to evaluate the social–environmental quality in a watershed in the Southern Amazon

Roboredo, Delmonte; Bergamasco, Sônia Maria Pessoa Pereira; Bleich, Monica Elisa

doi:10.1016/j.ecolind.2015.11.042

Cited by 14 publications

(5 citation statements)

References 16 publications

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“…For example, if the analysis is performed at the farm level, this type of graph allows to easily visualize the differences across agroecosystems. Additionally, it is useful for comparing the results among groups of farmers or different production models (Roboredo et al, 2016;Marandure et al, 2017). To integrate the indicators into a single value, a weighted average can be used.…”

Section: B4 Analysis Of Results Based On Graphs or Tablesmentioning

confidence: 99%

“…If it is necessary to collect information on the biological components, generally at the agroecosystem level, sampling and its subsequent processing in the laboratory (for example, of cultivated species, spontaneous vegetation, arthropodofauna, etc.) will be required (Roboredo et al, 2016). In this step, the sampling technique must be defined, considering the type (for example floristic censuses, pitfall traps, etc.…”

Section: B1 Selection Of Information-gathering Techniquesmentioning

confidence: 99%

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The mental map as an instrument to define indicators in complex systems: an application on the environmental knowledge of local horticultural farmers

Blandi

Gargoloff

Iermanó

et al. 2022

Rev. Econ. Sociol. Rural

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The reductionist and disciplinary paradigm of the Green Revolution coexists with the emerging paradigm of complexity, which values the holistic and the interdisciplinary. Agroecology promotes the need to understand the multiple biophysical relationships that exist in agroecosystems, and this calls for the development of new methodological tools. Sustainability indicators are an example of this. However, their implementation is not simple, as this requires an instrument to simplify the construction of such indicators. The objective of this work is to use the “mental map” as a guide for the development and application of indicators. The graph follows the conceptual path that facilitates the understanding of the variable and its breakdown into smaller and measurable units of analysis, i.e. the indicators. The created mental map has two stages: the development of indicators and their application. Its utility is presented in a case study that addresses local environmental knowledge (LEK). The results of this work show that complexity can be translated into quantifiable, measurable, and comparable variables, without this representing the loss of its characteristics. In addition, it proves that the created tool facilitates the evaluation and understanding of the functioning of agroecosystems, which contributes to decision-making.

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Section: B4 Analysis Of Results Based On Graphs or Tablesmentioning

confidence: 99%

Section: B1 Selection Of Information-gathering Techniquesmentioning

confidence: 99%

The mental map as an instrument to define indicators in complex systems: an application on the environmental knowledge of local horticultural farmers

Blandi

Gargoloff

Iermanó

et al. 2022

Rev. Econ. Sociol. Rural

View full text Add to dashboard Cite

show abstract

“…In addition, oxygen is also needed by microorganisms for respiration. Based on research Ali et al (2013) states that polluted water has a very low oxygen content (Roboredo et al 2016), The more organic waste in the water, the less oxygen content dissolved in the water. The decrease in DO levels was caused by the large number of organic substances produced from the tofu factory liquid waste which was directly discharged into the waters.…”

Section: Water Quality Index (Wqi) In Bekasi Regencymentioning

confidence: 99%

Potential Improvement of Environmental Quality Index (EQI) Based on District Level Data. Case Study in Bekasi Regency

Kusuma¹,

Kartodihardjo²,

Setiawan³

2022

JPSL

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Bekasi Regency always experiences an increase in population every year that significantly affects the Environmental Quality Index (EQI) in Bekasi Regency. Environmental Quality Index (EQI) is a value that can describe the quality of the environment in an area at a specified time. The Regency Environmental Quality Index (EQI) is a composite of the Water Quality Index (WQI), Air Quality Index (AQI), and Land Quality Index (LQI). All Environmental Quality Indexes positively affect the fulfilment of basic needs. The calculations in this research show the Environmental Quality Index (EQI) Based on District Level Data in Bekasi Regency is 47.56.

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“…Our findings are analogous to this study on agricultural suitability. Similarly, the high SLSI ranking of coastal Kerala can be attributed to the policies for socio-economic development implemented in the state, which were recognized as a model to emulate for evolving sustainable development in any region [49,50]. Likewise, Malaysia has evolved mechanisms for sustainable development and is able to implement policies and development programs successfully to increase income and eradicate poverty in the country.…”

Section: Sustainable Livelihood Security Index (Slsi)mentioning

confidence: 99%

Assessment of Sustainability and Priorities for Development of Indian West Coast Region: An Application of Sustainable Livelihood Security Indicators

et al. 2020

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The measurement of sustainability in terms of social, economic, and ecological indicators significantly influences the achievement of sustainable development goals. This paper presents a sustainable livelihood security index (SLSI) by selecting 20 indicators and positions them within the ecological, economic, and social dimensions of sustainable development for the Indian west coast. These indicators were first normalized and, using estimated weights, indices were computed. Important indicators were shortlisted by a two-step process, namely, principal component analysis and linear and nonlinear weighted scores. The results revealed that indicators such as forest cover, net sown area, milk availability, groundwater availability, land productivity, food grain availability, rural road connectivity, villages electrified, and land degradation were found to be important indicators. Kerala was found as the most developed state followed by Gujarat, Karnataka, Maharashtra, and Goa in linear and non-linear weighted scoring. The study identifies the Jamnagar, Junagadh, Kachchh, Ratnagiri, and Sindhudurg districts as the districts with the highest priority for development through investment and policy interventions. The study concludes that the west coast region, in terms of its sustainable development levels, improved significantly with a focus on low-SLSI districts by considering ecological, economic, and social dimensions in planning for technological development and dissemination.

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Aggregate index of social–environmental sustainability to evaluate the social–environmental quality in a watershed in the Southern Amazon

Cited by 14 publications

References 16 publications

The mental map as an instrument to define indicators in complex systems: an application on the environmental knowledge of local horticultural farmers

The mental map as an instrument to define indicators in complex systems: an application on the environmental knowledge of local horticultural farmers

Potential Improvement of Environmental Quality Index (EQI) Based on District Level Data. Case Study in Bekasi Regency

Assessment of Sustainability and Priorities for Development of Indian West Coast Region: An Application of Sustainable Livelihood Security Indicators

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