FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2015810210> ?p ?o ?g. }

• W2015810210 endingPage "369" @default.
• W2015810210 startingPage "358" @default.
• W2015810210 abstract "Abstract Forest cover change is one of the most important land cover change processes globally, and old-growth forests continue to disappear despite many efforts to protect them. At the same time, many countries are on a trajectory of increasing forest cover, and secondary, plantation, and scrub forests are a growing proportion of global forest cover. Remote sensing is a crucial tool for understanding how forests change in response to forest protection strategies and economic development, but most forest monitoring with satellite imagery does not distinguish old-growth forest from other forest types. Our goal was to measure changes in forest types, and especially old-growth forests, in the biodiversity hotspot of northwest Yunnan in southwest China. Northwest Yunnan is one of the poorest regions in China, and since the 1990s, the Chinese government has legislated strong forest protection and fostered the growth of ecotourism-based economic development. We used Landsat TM/ETM+ and MSS images, Support Vector Machines, and a multi-temporal composite classification technique to analyze change in forest types and the loss of old-growth forest in three distinct periods of forestry policy and ecotourism development from 1974 to 2009. Our analysis showed that logging rates decreased substantially from 1974 to 2009, and the proportion of forest cover increased from 62% in 1990 to 64% in 2009. However, clearing of high-diversity old-growth forest accelerated, from approximately 1100 hectares/year before the logging ban (1990 to 1999), to 1550 hectares/year after the logging ban (1999 to 2009). Paradoxically, old-growth forest clearing accelerated most rapidly where ecotourism was most prominent. Despite increasing overall forest cover, the proportion of old-growth forests declined from 26% in 1990, to 20% in 2009. The majority of forests cleared from 1974 to 1990 returned to either a non-forested land cover type (14%) or non-pine scrub forest (66%) in 2009, and our results suggest that most non-pine scrub forest was not on a successional trajectory towards high-diversity forest stands. That means that despite increasing forest cover, biodiversity likely continues to decline, a trend obscured by simple forest versus non-forest accounting. It also means that rapid development may pose inherent risks to biodiversity, since our study area arguably represents a “best-case scenario” for balancing development with maintenance of biodiversity, given strong forest protection policies and an emphasis on ecotourism development." @default.
• W2015810210 created "2016-06-24" @default.
• W2015810210 creator A5009142955 @default.
• W2015810210 creator A5022609576 @default.
• W2015810210 creator A5060331729 @default.
• W2015810210 creator A5074366559 @default.
• W2015810210 creator A5077878098 @default.
• W2015810210 creator A5080263583 @default.
• W2015810210 date "2012-06-01" @default.
• W2015810210 modified "2023-10-16" @default.
• W2015810210 title "Using Landsat imagery to map forest change in southwest China in response to the national logging ban and ecotourism development" @default.
• W2015810210 cites W1561104679 @default.
• W2015810210 cites W1967400946 @default.
• W2015810210 cites W1967901188 @default.
• W2015810210 cites W1971219729 @default.
• W2015810210 cites W1972406629 @default.
• W2015810210 cites W1972758663 @default.
• W2015810210 cites W1974734701 @default.
• W2015810210 cites W1977877046 @default.
• W2015810210 cites W1978280029 @default.
• W2015810210 cites W1981291618 @default.
• W2015810210 cites W1989566299 @default.
• W2015810210 cites W1992421824 @default.
• W2015810210 cites W1998081962 @default.
• W2015810210 cites W2000338728 @default.
• W2015810210 cites W2002392428 @default.
• W2015810210 cites W2005290626 @default.
• W2015810210 cites W2006372733 @default.
• W2015810210 cites W2007435888 @default.
• W2015810210 cites W2022078304 @default.
• W2015810210 cites W2022800794 @default.
• W2015810210 cites W2031695825 @default.
• W2015810210 cites W2045118681 @default.
• W2015810210 cites W2047032646 @default.
• W2015810210 cites W2051982039 @default.
• W2015810210 cites W2052396332 @default.
• W2015810210 cites W2057991755 @default.
• W2015810210 cites W2064672104 @default.
• W2015810210 cites W2078619499 @default.
• W2015810210 cites W2082874195 @default.
• W2015810210 cites W2084623348 @default.
• W2015810210 cites W2087556827 @default.
• W2015810210 cites W2091784870 @default.
• W2015810210 cites W2093622053 @default.
• W2015810210 cites W2102200338 @default.
• W2015810210 cites W2102521936 @default.
• W2015810210 cites W2102832863 @default.
• W2015810210 cites W2107450528 @default.
• W2015810210 cites W2108294169 @default.
• W2015810210 cites W2113675242 @default.
• W2015810210 cites W2121445488 @default.
• W2015810210 cites W2124070575 @default.
• W2015810210 cites W2125758830 @default.
• W2015810210 cites W2129101668 @default.
• W2015810210 cites W2129715162 @default.
• W2015810210 cites W2129920251 @default.
• W2015810210 cites W2134668468 @default.
• W2015810210 cites W2136873103 @default.
• W2015810210 cites W2137896903 @default.
• W2015810210 cites W2138313440 @default.
• W2015810210 cites W2140302389 @default.
• W2015810210 cites W2141963786 @default.
• W2015810210 cites W2145587543 @default.
• W2015810210 cites W2149301122 @default.
• W2015810210 cites W2153350045 @default.
• W2015810210 cites W2153820558 @default.
• W2015810210 cites W2157818626 @default.
• W2015810210 cites W2162348455 @default.
• W2015810210 cites W2167135268 @default.
• W2015810210 cites W2171339142 @default.
• W2015810210 cites W2176748162 @default.
• W2015810210 cites W2191253680 @default.
• W2015810210 cites W2314511002 @default.
• W2015810210 cites W3124900678 @default.
• W2015810210 doi "https://doi.org/10.1016/j.rse.2012.02.010" @default.
• W2015810210 hasPublicationYear "2012" @default.
• W2015810210 type Work @default.
• W2015810210 sameAs 2015810210 @default.
• W2015810210 citedByCount "66" @default.
• W2015810210 countsByYear W20158102102012 @default.
• W2015810210 countsByYear W20158102102013 @default.
• W2015810210 countsByYear W20158102102014 @default.
• W2015810210 countsByYear W20158102102015 @default.
• W2015810210 countsByYear W20158102102016 @default.
• W2015810210 countsByYear W20158102102017 @default.
• W2015810210 countsByYear W20158102102018 @default.
• W2015810210 countsByYear W20158102102019 @default.
• W2015810210 countsByYear W20158102102020 @default.
• W2015810210 countsByYear W20158102102021 @default.
• W2015810210 countsByYear W20158102102022 @default.
• W2015810210 countsByYear W20158102102023 @default.
• W2015810210 crossrefType "journal-article" @default.
• W2015810210 hasAuthorship W2015810210A5009142955 @default.
• W2015810210 hasAuthorship W2015810210A5022609576 @default.
• W2015810210 hasAuthorship W2015810210A5060331729 @default.
• W2015810210 hasAuthorship W2015810210A5074366559 @default.
• W2015810210 hasAuthorship W2015810210A5077878098 @default.
• W2015810210 hasAuthorship W2015810210A5080263583 @default.

• next