Suchergebnisse

Conservation Non-Governmental Organisations (NGOs) are crucial actors in global conservation governance. They shape resource flows, establish cross-sector and cross-scale networks, and influence conservation discourses and practices. While research on conservation NGOs is growing, less attention has been paid to how conservation NGOs structure their networks. In this article, we interrogate the interpersonal social relationships that underpin the organisational dynamics of conservation NGOs engaged in transnational activities. Drawing on 45 semi-structured interviews with conservation professionals at NGOs based in Cambridge (UK), Bangkok (Thailand), and Vientiane (Lao PDR), we sketch two parallel and interacting dimensions: (a) the bureaucratic and institutional infrastructures that condition conservation flows and actor interactions; and (b) the interpersonal social relationships that pattern conservation flows between distant places and actors. We illustrate how such relationships are important for managing activities, responding to unexpected and unforeseen events, capitalising on funding opportunities by quickly mobilising an existing network, integrating new actors into project activities, enhancing cross-sector dialogues to mainstream biodiversity conservation, and accessing and influencing funders. Social relationships serve a crucial function due to the uncertain conditions in which conservation NGOs operate. Our results point to an important dimension of exclusion in transnational conservation networks.

In response to the novel coronavirus disease (COVID-19), governments have introduced severe policy measures with substantial effects on human behavior. Here, we perform a large-scale, spatiotemporal analysis of human mobility during the COVID-19 epidemic. We derive human mobility from anonymized, aggregated telecommunication data in a nationwide setting (Switzerland; 10 February to 26 April 2020), consisting of ∼1.5 billion trips. In comparison to the same time period from 2019, human movement in Switzerland dropped by 49.1%. The strongest reduction is linked to bans on gatherings of more than five people, which are estimated to have decreased mobility by 24.9%, followed by venue closures (stores, restaurants, and bars) and school closures. As such, human mobility at a given day predicts reported cases 7 to 13 d ahead. A 1% reduction in human mobility predicts a 0.88 to 1.11% reduction in daily reported COVID-19 cases. When managing epidemics, monitoring human mobility via telecommunication data can support public decision makers in two ways. First, it helps in assessing policy impact; second, it provides a scalable tool for near real-time epidemic surveillance, thereby enabling evidence-based policies. ; ISSN:0027-8424 ; ISSN:1091-6490