Beyond access : exploring implementation of the fair and equitable sharing commitment in the CBD

Walloe, Morten; Young, Tomme Rosanne

doi:10.2305/iucn.ch.2007.eplp.67/2.en

Cited by 12 publications

(1 citation statement)

References 33 publications

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“…As the direct stakeholders of tourism activities, residential areas collect a large amount of domestic wastewater, excreta, smoke, and other pollutants because they undertake the most tourism accommodation and catering activities [85]. This is consistent with the conclusion that while community residents eliminate poverty through natural resources and the tourism industry, they also reduce biodiversity due to excessive demand and abuse of nature [86].…”

Section: Spatial Heterogeneity Of Influencing Factors Based On Brt An...supporting

confidence: 75%

The Impact of Tourism on Ecosystem Services Value: A Spatio-Temporal Analysis Based on BRT and GWR Modeling

et al. 2022

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The healthy development of the ecosystem and tourism in destinations plays an essential role in sustainable development. Taking Shennongjia as an example, we analyzed the spatial–temporal variation in the ecosystem services value (ESV) and investigated the impacts of tourism on ESV and their spatial heterogeneity using the geographically weighted regression (GWR) and boosting regression tree (BRT) models. The results showed that (1) the types of ecosystem services (ESs) were dominated by climate regulation and biodiversity. The ESV increased from 3.358 billion yuan to 8.910 billion yuan from 2005 to 2018 and showed significant spatial divergence, maintaining a long-term distribution pattern of high in the center and low at the border. (2) The GWR and BRT results showed that the Distance to Scenic Spots (DSS) and the Distance to Residential Areas (DRA) are important factors influencing ESV, with the Distance to Hotels (DH) and the Distance to Roads (DR) having a relatively weak influence on ESV. (3) The influencing factors presented positive and negative effects, and the degree of influence has spatial heterogeneity. The DRA and DH inhibited the increase in ESV in nearby areas, while DR was the driving factor for increasing ESV. The assessment results of DSS vary according to the models.

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Section: Spatial Heterogeneity Of Influencing Factors Based On Brt An...supporting

confidence: 75%