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1.
Proc Natl Acad Sci U S A ; 119(11): e2107662119, 2022 03 15.
Artículo en Inglés | MEDLINE | ID: mdl-35245152

RESUMEN

SignificanceTourism accounts for roughly 10% of global gross domestic product, with nature-based tourism its fastest-growing sector in the past 10 years. Nature-based tourism can theoretically contribute to local and sustainable development by creating attractive livelihoods that support biodiversity conservation, but whether tourists prefer to visit more biodiverse destinations is poorly understood. We examine this question in Costa Rica and find that more biodiverse places tend indeed to attract more tourists, especially where there is infrastructure that makes these places more accessible. Safeguarding terrestrial biodiversity is critical to preserving the substantial economic benefits that countries derive from tourism. Investments in both biodiversity conservation and infrastructure are needed to allow biodiverse countries to rely on tourism for their sustainable development.


Asunto(s)
Biodiversidad , Desarrollo Económico , Turismo , Conservación de los Recursos Naturales , Costa Rica , Humanos , Recreación
2.
Nat Commun ; 6: 10158, 2015 Dec 18.
Artículo en Inglés | MEDLINE | ID: mdl-26679749

RESUMEN

Carbon stock estimates based on land cover type are critical for informing climate change assessment and landscape management, but field and theoretical evidence indicates that forest fragmentation reduces the amount of carbon stored at forest edges. Here, using remotely sensed pantropical biomass and land cover data sets, we estimate that biomass within the first 500 m of the forest edge is on average 25% lower than in forest interiors and that reductions of 10% extend to 1.5 km from the forest edge. These findings suggest that IPCC Tier 1 methods overestimate carbon stocks in tropical forests by nearly 10%. Proper accounting for degradation at forest edges will inform better landscape and forest management and policies, as well as the assessment of carbon stocks at landscape and national levels.


Asunto(s)
Biomasa , Carbono , Bosques , Clima Tropical , Brasil , Cambio Climático , Conservación de los Recursos Naturales
3.
Proc Natl Acad Sci U S A ; 112(24): 7402-7, 2015 Jun 16.
Artículo en Inglés | MEDLINE | ID: mdl-26082547

RESUMEN

The agricultural expansion and intensification required to meet growing food and agri-based product demand present important challenges to future levels and management of biodiversity and ecosystem services. Influential actors such as corporations, governments, and multilateral organizations have made commitments to meeting future agricultural demand sustainably and preserving critical ecosystems. Current approaches to predicting the impacts of agricultural expansion involve calculation of total land conversion and assessment of the impacts on biodiversity or ecosystem services on a per-area basis, generally assuming a linear relationship between impact and land area. However, the impacts of continuing land development are often not linear and can vary considerably with spatial configuration. We demonstrate what could be gained by spatially explicit analysis of agricultural expansion at a large scale compared with the simple measure of total area converted, with a focus on the impacts on biodiversity and carbon storage. Using simple modeling approaches for two regions of Brazil, we find that for the same amount of land conversion, the declines in biodiversity and carbon storage can vary two- to fourfold depending on the spatial pattern of conversion. Impacts increase most rapidly in the earliest stages of agricultural expansion and are more pronounced in scenarios where conversion occurs in forest interiors compared with expansion into forests from their edges. This study reveals the importance of spatially explicit information in the assessment of land-use change impacts and for future land management and conservation.


Asunto(s)
Agricultura , Biodiversidad , Conservación de los Recursos Naturales/métodos , Brasil , Secuestro de Carbono , Ecosistema , Ambiente , Modelos Teóricos
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