Matches in SemOpenAlex for { <https://semopenalex.org/work/W4327717870> ?p ?o ?g. }
- W4327717870 endingPage "315" @default.
- W4327717870 startingPage "303" @default.
- W4327717870 abstract "The frontier of forest loss has encroached into mountains in some regions. However, the global distribution of forest loss in mountain areas, which are home to >85% of the world’s birds, mammals, and amphibians, is uncertain. Here we combine multiple datasets, including global forest change and selected species distributions, to examine spatiotemporal patterns, drivers, and impacts of mountain forest loss. We find 78 Mha of montane forest was lost during 2001–2018 and annual loss accelerated significantly, with recent losses being 2.7-fold greater than those at the beginning of the century. Key drivers of mountain forest loss include commercial forestry, agriculture, and wildfire. Areas with the greatest forest loss overlap with important tropical biodiversity hotspots. Our results indicate protected areas within mountain biodiversity hotspots experienced lower loss rates than their surroundings. Increasing the area of protection in mountains should be central to preserving montane forests and biodiversity in the future." @default.
- W4327717870 created "2023-03-18" @default.
- W4327717870 creator A5017575401 @default.
- W4327717870 creator A5018754758 @default.
- W4327717870 creator A5027806957 @default.
- W4327717870 creator A5042093032 @default.
- W4327717870 creator A5062836220 @default.
- W4327717870 creator A5073308805 @default.
- W4327717870 creator A5078673419 @default.
- W4327717870 creator A5080902801 @default.
- W4327717870 creator A5087161782 @default.
- W4327717870 date "2023-03-01" @default.
- W4327717870 modified "2023-10-16" @default.
- W4327717870 title "Accelerating global mountain forest loss threatens biodiversity hotspots" @default.
- W4327717870 cites W1214056855 @default.
- W4327717870 cites W1537420352 @default.
- W4327717870 cites W1802525047 @default.
- W4327717870 cites W1964089513 @default.
- W4327717870 cites W1969834758 @default.
- W4327717870 cites W1970795493 @default.
- W4327717870 cites W1981213426 @default.
- W4327717870 cites W1985936925 @default.
- W4327717870 cites W1995986620 @default.
- W4327717870 cites W1997586969 @default.
- W4327717870 cites W1998843668 @default.
- W4327717870 cites W2002507842 @default.
- W4327717870 cites W2003263324 @default.
- W4327717870 cites W2009552537 @default.
- W4327717870 cites W2011500029 @default.
- W4327717870 cites W2016310072 @default.
- W4327717870 cites W2018764772 @default.
- W4327717870 cites W2019476179 @default.
- W4327717870 cites W2019679719 @default.
- W4327717870 cites W2028261619 @default.
- W4327717870 cites W2041747114 @default.
- W4327717870 cites W2053066296 @default.
- W4327717870 cites W2064270042 @default.
- W4327717870 cites W2069722881 @default.
- W4327717870 cites W2084234203 @default.
- W4327717870 cites W2085777730 @default.
- W4327717870 cites W2102142855 @default.
- W4327717870 cites W2103209538 @default.
- W4327717870 cites W2114892242 @default.
- W4327717870 cites W2116209217 @default.
- W4327717870 cites W2119120784 @default.
- W4327717870 cites W2129920251 @default.
- W4327717870 cites W2132864126 @default.
- W4327717870 cites W2138313440 @default.
- W4327717870 cites W2146365367 @default.
- W4327717870 cites W2158625291 @default.
- W4327717870 cites W2165509045 @default.
- W4327717870 cites W2170853760 @default.
- W4327717870 cites W2203056123 @default.
- W4327717870 cites W2292716909 @default.
- W4327717870 cites W2318680928 @default.
- W4327717870 cites W2460059576 @default.
- W4327717870 cites W2560900959 @default.
- W4327717870 cites W2579586614 @default.
- W4327717870 cites W262856817 @default.
- W4327717870 cites W2753423014 @default.
- W4327717870 cites W2803167163 @default.
- W4327717870 cites W2803447495 @default.
- W4327717870 cites W2806941114 @default.
- W4327717870 cites W2809720754 @default.
- W4327717870 cites W2809744245 @default.
- W4327717870 cites W2810981748 @default.
- W4327717870 cites W284352758 @default.
- W4327717870 cites W2884373863 @default.
- W4327717870 cites W2885696803 @default.
- W4327717870 cites W2890263737 @default.
- W4327717870 cites W2921027332 @default.
- W4327717870 cites W2924400300 @default.
- W4327717870 cites W2952171470 @default.
- W4327717870 cites W2973186679 @default.
- W4327717870 cites W2991528593 @default.
- W4327717870 cites W3005189214 @default.
- W4327717870 cites W3006391227 @default.
- W4327717870 cites W3018815377 @default.
- W4327717870 cites W3027944836 @default.
- W4327717870 cites W3112344420 @default.
- W4327717870 cites W3131600941 @default.
- W4327717870 cites W3170620169 @default.
- W4327717870 cites W3193849081 @default.
- W4327717870 cites W4229457023 @default.
- W4327717870 doi "https://doi.org/10.1016/j.oneear.2023.02.005" @default.
- W4327717870 hasPublicationYear "2023" @default.
- W4327717870 type Work @default.
- W4327717870 citedByCount "2" @default.
- W4327717870 countsByYear W43277178702023 @default.
- W4327717870 crossrefType "journal-article" @default.
- W4327717870 hasAuthorship W4327717870A5017575401 @default.
- W4327717870 hasAuthorship W4327717870A5018754758 @default.
- W4327717870 hasAuthorship W4327717870A5027806957 @default.
- W4327717870 hasAuthorship W4327717870A5042093032 @default.
- W4327717870 hasAuthorship W4327717870A5062836220 @default.
- W4327717870 hasAuthorship W4327717870A5073308805 @default.
- W4327717870 hasAuthorship W4327717870A5078673419 @default.
- W4327717870 hasAuthorship W4327717870A5080902801 @default.