Nature-dependent people: Mapping human direct use of nature for basic needs across the tropics

Fedele, Giacomo; Donatti, Camila I.; Bornacelly, Iván; Hole, David G.

doi:10.1016/j.gloenvcha.2021.102368

Cited by 107 publications

(70 citation statements)

References 39 publications

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“…For example, Buckley, et al 72 estimated that the economic value of improved mental health among visitors to protected areas was several orders of magnitude greater than their management budgets. Nevertheless, many citizens in biodiverse countries depend on nature for their basic needs while being under-served by mental healthcare services 73,74 . So, promoting the expansion of protected areas in these places might exacerbate social determinates of mental illness among already vulnerable populations.…”

Section: Land Management Policy and Mental Healthmentioning

confidence: 99%

Predicting the impacts of land management for sustainable development on depression risk in a Ugandan case study

Pienkowski¹,

Keane²,

Kinyanda³

et al. 2021

Preprint

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Agricultural intensification and expanding protected areas are proposed sustainable development approaches. But, their consequences for mental health – a global priority – are poorly understood. We predict how forest conservation and contract farming may alter resource access and depression risk in rural Uganda. We asked 695 residents in 11 communities about their expectations under land management scenarios, household characteristics, and depression symptoms. Over 80% of respondents presented with a ‘business-as-usual forest-access’ scenario expected reduced forest income and food over the next decade. This number climbed to over 90% among respondents presented with a ‘restricted forest access’ scenario. Over 80% said losing forest access would increase food insecurity and poverty among forest-dependent households. Furthermore, over 99% of those presented with two land access scenarios (‘business-as-usual land access’ and ‘sugarcane expansion land access’) expected wealthy households to gain land but poorer families to lose it. This land redistribution was expected to increase poverty and food insecurity among small-scale farmers. Bayesian structural equation suggested that depression severity was positively associated with food insecurity (estimate = 0.20, 95% CI = 0.12-0.28) and economic poverty (estimate = 0.11, 95% CI 0.02-0.19). Conservation and agricultural approaches that restrict access to livelihood resources may threaten vulnerable groups’ mental health.

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Section: Land Management Policy and Mental Healthmentioning

confidence: 99%

Predicting the impacts of land management for sustainable development on depression risk in a Ugandan case study

Pienkowski¹,

Keane²,

Kinyanda³

et al. 2021

Preprint

View full text Add to dashboard Cite

show abstract

“…Multi-country comparisons of crime statistics aggregated at subnational levels are common in criminology and sociological research [20]. A recent study of human reliance on protected natural areas throughout the global tropics combined geospatial information on protected areas with household survey data aggregated by subnational administrative units [18]. Incomplete or inconsistent standardization of political division names and identifiers increases the burden of data aggregation, especially when historical data are involved [21,22].…”

Section: Introductionmentioning

confidence: 99%

Geographic Name Resolution Service: A tool for the standardization and indexing of world political division names, with applications to species distribution modeling

Boyle

Maitner

Barbosa

et al. 2022

Preprint

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Massive biological databases of species occurrences, or georeferenced locations where a species has been observed, are essential inputs for modeling present and future species distributions. Location accuracy is often assessed by determining whether the observation geocoordinates fall within the boundaries of the declared political divisions. This otherwise simple validation is complicated by the difficulty of matching political division names to the correct geospatial object. Spelling errors, abbreviations, alternative codes, and synonyms in multiple languages present daunting name disambiguation challenges. The inability to resolve political division names reduces usable data and analysis of erroneous observations can lead to flawed results.Here, we present the Geographic Name Resolution Service (GNRS), an application for the correction, standardization and indexing of world political division names. The GNRS resolves political division names against a reference database that combines names and codes from GeoNames with geospatial object identifiers from the Global Administrative Areas Database (GADM). In a trial resolution of political division names extracted from >270 million species occurrences, only 1.9%, representing just 6% of occurrences, matched exactly to GADM political divisions in their original form. The GNRS was able to resolve, completely or in part, 92% of the remaining 378,568 political division names, or 86% of the full biodiversity occurrence dataset. In an assessment of geocoordinate accuracy for >239 million species occurrences, resolution of political divisions by the GNRS enabled detection of an order of magnitude more errors and an order of magnitude more error-free occurrences. By providing a novel solution to a major data quality impediment, the GNRS liberates a tremendous amount of biodiversity data for quantitative biodiversity research. The GNRS runs as a web service and can be accessed via an API, an R package, and a web-based graphical user interface. Its modular architecture is easily integrated into existing data validation workflows.

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“…This deterioration of the biodiversity of the ecosystems also has a strong impact on their resilience or buffering capacity with respect to adverse phenomena [20]. Moreover, 1.2 billion people only in tropical countries (30% of the population) depend directly on the forests for their food, clothes, energy and income [21]. Therefore, the degradation and loss of the forests means the loss of livelihood for a large part of the population, particularly the poorer and more vulnerable populations of the low-income regions, and a loss of human well-being due to the reduction in ES flows for the global population as a whole [13,22].…”

Section: Introductionmentioning

confidence: 99%

An Analysis of the Worldwide Research on the Socio-Cultural Valuation of Forest Ecosystem Services

et al. 2022

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The socio-cultural valuation of forest ecosystem services is a useful tool to generate knowledge and help balance the different interests of stakeholders with respect to the management of these services. The aim of this study is to analyse the evolution of global research on the economic valuation of forest ecosystem services through a review of the existing literature on this topic. The results show that socio-cultural valuation has gained importance in recent years. There is a wide disparity between the countries conducting the research and those being studied. Inconsistency has been observed in the definition and classification of services provided by forests, as well as a lack of unanimity on the reference framework to be applied. The main methodological approaches in the socio-cultural valuation of forest services are participatory mapping, social media analysis, the Q method and free listing. For the collection of primary information, the dominant methodologies are focus groups, semi-structured interviews and online surveys. Finally, this study demonstrates that socio-cultural valuation has great potential to improve the legitimacy of forest ecosystem management decisions and to promote consensus building.

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Nature-dependent people: Mapping human direct use of nature for basic needs across the tropics

Cited by 107 publications

References 39 publications

Predicting the impacts of land management for sustainable development on depression risk in a Ugandan case study

Predicting the impacts of land management for sustainable development on depression risk in a Ugandan case study

Geographic Name Resolution Service: A tool for the standardization and indexing of world political division names, with applications to species distribution modeling

An Analysis of the Worldwide Research on the Socio-Cultural Valuation of Forest Ecosystem Services

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