Matches in SemOpenAlex for { <https://semopenalex.org/work/W4220697537> ?p ?o ?g. }
- W4220697537 endingPage "2971" @default.
- W4220697537 startingPage "2956" @default.
- W4220697537 abstract "Abstract Aim Evaluate how large‐scale forest regeneration based on a low‐cost restoration method may mitigate the effects of habitat loss and fragmentation associated to future climate changes on the distribution of birds and arboreal mammals in a tropical biodiversity hotspot; find areas with different current and future potential species richness and assess how passive restoration can reduce the risk of species extinction. Location Brazilian Atlantic Forest (BAF). Methods We built a forest regeneration scenario via a model of seed dispersal based on the potential movement of frugivorous fauna and projected the potential distribution of 356 bird species and 21 arboreal mammals based on Species Distribution Models (SDM) which employed 79,462 occurrence records and four algorithms for different climate and landscape scenarios. SDM were based on climate and landscape predictors separately and the results were combined into maps of species richness. Finally, we assessed the species’ risk of extinction based on the species–area relationship. Results Without considering the effects of climate change, the potential distribution area for each species increases on average by 72.5% (SD = 8%) in the scenario of potential regeneration. Climate change decreases the area of potential occurrence of 252 species, which may suffer a mean reduction of 74.4% (SD = 9.3%) in their current potential distribution areas. BAF regions with the largest amounts of forest had the greatest potential richness of species. In future climate scenario, 3.4% of species may become extinct, but we show that large‐scale regeneration may prevent these extinctions. Main conclusions Despite the possible negative impacts of climate change on the distribution of 67% of the studied species, which would increase the risk of species extinction, our analysis indicated that promoting large‐scale BAF restoration based on natural regeneration may prevent biodiversity loss." @default.
- W4220697537 created "2022-04-03" @default.
- W4220697537 creator A5021382476 @default.
- W4220697537 creator A5037077801 @default.
- W4220697537 creator A5071043658 @default.
- W4220697537 creator A5081904911 @default.
- W4220697537 date "2022-03-22" @default.
- W4220697537 modified "2023-10-12" @default.
- W4220697537 title "Forest regeneration may reduce the negative impacts of climate change on the biodiversity of a tropical hotspot" @default.
- W4220697537 cites W1494793062 @default.
- W4220697537 cites W1543590217 @default.
- W4220697537 cites W1708754533 @default.
- W4220697537 cites W1797234895 @default.
- W4220697537 cites W1966129384 @default.
- W4220697537 cites W1969126720 @default.
- W4220697537 cites W1980183419 @default.
- W4220697537 cites W1989235118 @default.
- W4220697537 cites W1989758149 @default.
- W4220697537 cites W1996359250 @default.
- W4220697537 cites W2007049610 @default.
- W4220697537 cites W2027595421 @default.
- W4220697537 cites W2028812763 @default.
- W4220697537 cites W2035179731 @default.
- W4220697537 cites W2089977971 @default.
- W4220697537 cites W2099484562 @default.
- W4220697537 cites W2102462780 @default.
- W4220697537 cites W2104346840 @default.
- W4220697537 cites W2104462056 @default.
- W4220697537 cites W2106723908 @default.
- W4220697537 cites W2111860645 @default.
- W4220697537 cites W2114991084 @default.
- W4220697537 cites W2115878537 @default.
- W4220697537 cites W2122982975 @default.
- W4220697537 cites W2124124339 @default.
- W4220697537 cites W2127597920 @default.
- W4220697537 cites W2133501143 @default.
- W4220697537 cites W2136442893 @default.
- W4220697537 cites W2149507322 @default.
- W4220697537 cites W2164830139 @default.
- W4220697537 cites W2170513943 @default.
- W4220697537 cites W2174650845 @default.
- W4220697537 cites W2318333940 @default.
- W4220697537 cites W2324360419 @default.
- W4220697537 cites W2398582793 @default.
- W4220697537 cites W2408273988 @default.
- W4220697537 cites W2442832733 @default.
- W4220697537 cites W2552143308 @default.
- W4220697537 cites W2584593168 @default.
- W4220697537 cites W2611657069 @default.
- W4220697537 cites W2611706668 @default.
- W4220697537 cites W2618878836 @default.
- W4220697537 cites W2626861572 @default.
- W4220697537 cites W2744078771 @default.
- W4220697537 cites W2744160250 @default.
- W4220697537 cites W2764091861 @default.
- W4220697537 cites W2767388336 @default.
- W4220697537 cites W2769918942 @default.
- W4220697537 cites W2778587902 @default.
- W4220697537 cites W2785520810 @default.
- W4220697537 cites W2794581761 @default.
- W4220697537 cites W2804133979 @default.
- W4220697537 cites W2809002745 @default.
- W4220697537 cites W2883526947 @default.
- W4220697537 cites W2887774689 @default.
- W4220697537 cites W2891352318 @default.
- W4220697537 cites W2894362483 @default.
- W4220697537 cites W2896037677 @default.
- W4220697537 cites W2896914900 @default.
- W4220697537 cites W2920737808 @default.
- W4220697537 cites W2941453009 @default.
- W4220697537 cites W2944459341 @default.
- W4220697537 cites W2945209971 @default.
- W4220697537 cites W2947654647 @default.
- W4220697537 cites W2958856141 @default.
- W4220697537 cites W2971396327 @default.
- W4220697537 cites W2987750938 @default.
- W4220697537 cites W2989624948 @default.
- W4220697537 cites W3008750029 @default.
- W4220697537 cites W3009680135 @default.
- W4220697537 cites W3016533010 @default.
- W4220697537 cites W3023884994 @default.
- W4220697537 cites W3094406090 @default.
- W4220697537 cites W3105224624 @default.
- W4220697537 cites W3126053103 @default.
- W4220697537 cites W3133570778 @default.
- W4220697537 cites W3152785124 @default.
- W4220697537 cites W3161554095 @default.
- W4220697537 cites W4200191517 @default.
- W4220697537 cites W4238927159 @default.
- W4220697537 doi "https://doi.org/10.1111/ddi.13523" @default.
- W4220697537 hasPublicationYear "2022" @default.
- W4220697537 type Work @default.
- W4220697537 citedByCount "2" @default.
- W4220697537 countsByYear W42206975372022 @default.
- W4220697537 crossrefType "journal-article" @default.
- W4220697537 hasAuthorship W4220697537A5021382476 @default.
- W4220697537 hasAuthorship W4220697537A5037077801 @default.
- W4220697537 hasAuthorship W4220697537A5071043658 @default.