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Alex N. Diment

Researcher at Wildlife Conservation Society

Publications -  5
Citations -  127

Alex N. Diment is an academic researcher from Wildlife Conservation Society. The author has contributed to research in topics: Ecosystem & Identification (biology). The author has an hindex of 2, co-authored 3 publications receiving 86 citations.

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Political transition and emergent forest-conservation issues in Myanmar.

TL;DR: A horizon-scanning approach was used to assess the 40 emerging issues most affecting Myanmar's forests, including internal conflict, land-tenure insecurity, large-scale agricultural development, demise of state timber enterprises, shortfalls in government revenue and capacity, and opening of new deforestation frontiers with new roads, mines, and hydroelectric dams.
Journal ArticleDOI

Gold, farms, and forests: Enforcement and alternative livelihoods are unlikely to disincentivize informal gold mining

TL;DR: In this article, the authors investigated the dynamics and drivers of informal gold mining in northern Myanmar to shed light on the conditions needed for alternative livelihood and enforcement interventions to succeed, and found that mining and agriculture provided complementary livelihoods for many respondents as they met different livelihood needs, and many of the miners were economic migrants.
Journal ArticleDOI

Protected area downgrading, downsizing, and degazettement in Cambodia: Enabling conditions and opportunities for intervention

TL;DR: In this article , the authors identified 37 PADDD events that affected two adjacent protected areas in northeastern Cambodia differently despite similar economic, environmental, and social conditions, and important differences in local context led to the eventual degazettement (100% loss) of one PA and downsizing (10.49%) of the other.
Posted ContentDOI

An operational methodology to identify Critical Ecosystem Areas to help nations achieve the Kunming-Montreal Global Biodiversity Framework

TL;DR: In this paper , the authors propose an operational framework that combines disparate information on ecosystem type, extent, integrity, levels of protection, and risk of collapse to support the identification of irreplaceable "Critical Ecosystem Areas" (CEAs), to help advance these ecosystem targets.