FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3194738900> ?p ?o ?g. }

• W3194738900 endingPage "207" @default.
• W3194738900 startingPage "191" @default.
• W3194738900 abstract "Abstract Tree cavities are an essential habitat component for wildlife species across diverse taxa, from insects to large mammals. Many of these species are imperiled by loss of cavities. Further, conservation action is hindered by limited information on the spatial distribution of cavities, largely due to difficulties in developing useful models of their presence or abundance. Accurately predicting the fine‐scale, landscape‐wide, spatial distribution of these important habitat features would greatly benefit conservation measures. In this study, we evaluated the efficacy of using remotely sensed data, including LiDAR, multispectral imagery, and SAR, to predict the locations of cavities suitable for nesting Wood Ducks Aix sponsa at fine scales (≤40 × 40 m) and across a broad landscape (~254 000 ha). We used Random Forest models to classify the presence–absence of cavities at four spatial scales of prediction (5, 10, 20, and 40‐m pixels) as well as three groupings of predictor variables (LiDAR‐derived metrics, spatial forest‐inventory variables [derived via LiDAR or imagery], and ancillary remotely sensed data [derived via SAR or imagery]), and then compared the accuracy between models. The 20‐m response‐scale had the highest accuracy. Variables from each of the groupings were important and largely relied on multispectral imagery and LiDAR data. Our final model and predictive map had 84% overall Out of Bag accuracy and, when tested with an independent cavity dataset, correctly identified 80% of trees with suitable cavities as presences. The predictive map can be used by researchers and land‐managers to determine how past management actions have affected cavity availability as well as the locations of habitat complexes for Wood Ducks and, potentially, other secondary‐cavity‐nesting wildlife. In addition, our analysis can serve as a methodological case‐study for cavity‐nesting wildlife in other regions, as the use of remotely sensed data like high‐density LiDAR and multispectral imagery increases." @default.
• W3194738900 created "2021-08-30" @default.
• W3194738900 creator A5026864044 @default.
• W3194738900 creator A5070119483 @default.
• W3194738900 creator A5073597661 @default.
• W3194738900 date "2021-08-20" @default.
• W3194738900 modified "2023-10-16" @default.
• W3194738900 title "LiDAR and multispectral imagery predict the occurrence of tree cavities suitable for a cavity‐nesting duck" @default.
• W3194738900 cites W1509020647 @default.
• W3194738900 cites W1511888826 @default.
• W3194738900 cites W1557217994 @default.
• W3194738900 cites W1619870188 @default.
• W3194738900 cites W1971271947 @default.
• W3194738900 cites W1974088254 @default.
• W3194738900 cites W1975625529 @default.
• W3194738900 cites W1977011933 @default.
• W3194738900 cites W1996022982 @default.
• W3194738900 cites W2002222101 @default.
• W3194738900 cites W2003444646 @default.
• W3194738900 cites W2004255371 @default.
• W3194738900 cites W2016173524 @default.
• W3194738900 cites W2027657768 @default.
• W3194738900 cites W2030739576 @default.
• W3194738900 cites W2034816582 @default.
• W3194738900 cites W2045626198 @default.
• W3194738900 cites W2056380340 @default.
• W3194738900 cites W2065548225 @default.
• W3194738900 cites W2073597988 @default.
• W3194738900 cites W2074030095 @default.
• W3194738900 cites W2076298349 @default.
• W3194738900 cites W2082012651 @default.
• W3194738900 cites W2086209697 @default.
• W3194738900 cites W2092555312 @default.
• W3194738900 cites W2104252070 @default.
• W3194738900 cites W2118561299 @default.
• W3194738900 cites W2129892623 @default.
• W3194738900 cites W2131058553 @default.
• W3194738900 cites W2138845775 @default.
• W3194738900 cites W2139086914 @default.
• W3194738900 cites W2143182075 @default.
• W3194738900 cites W2159352923 @default.
• W3194738900 cites W2160486837 @default.
• W3194738900 cites W2162416391 @default.
• W3194738900 cites W2165571665 @default.
• W3194738900 cites W2190627176 @default.
• W3194738900 cites W2228449237 @default.
• W3194738900 cites W2273297058 @default.
• W3194738900 cites W2307094448 @default.
• W3194738900 cites W2309114576 @default.
• W3194738900 cites W2467736200 @default.
• W3194738900 cites W2482464033 @default.
• W3194738900 cites W2507439898 @default.
• W3194738900 cites W2510217851 @default.
• W3194738900 cites W2624854028 @default.
• W3194738900 cites W2725897987 @default.
• W3194738900 cites W2737706773 @default.
• W3194738900 cites W2744366492 @default.
• W3194738900 cites W2801667818 @default.
• W3194738900 cites W2883612327 @default.
• W3194738900 cites W2910942888 @default.
• W3194738900 cites W2946896775 @default.
• W3194738900 cites W2951147814 @default.
• W3194738900 cites W3005339009 @default.
• W3194738900 cites W3012520403 @default.
• W3194738900 cites W3013122662 @default.
• W3194738900 cites W3027299578 @default.
• W3194738900 cites W3047099884 @default.
• W3194738900 cites W3049114347 @default.
• W3194738900 cites W3157614890 @default.
• W3194738900 cites W4242178828 @default.
• W3194738900 cites W4249765819 @default.
• W3194738900 cites W9288028 @default.
• W3194738900 doi "https://doi.org/10.1002/rse2.236" @default.
• W3194738900 hasPublicationYear "2021" @default.
• W3194738900 type Work @default.
• W3194738900 sameAs 3194738900 @default.
• W3194738900 citedByCount "3" @default.
• W3194738900 countsByYear W31947389002022 @default.
• W3194738900 crossrefType "journal-article" @default.
• W3194738900 hasAuthorship W3194738900A5026864044 @default.
• W3194738900 hasAuthorship W3194738900A5070119483 @default.
• W3194738900 hasAuthorship W3194738900A5073597661 @default.
• W3194738900 hasConcept C113174947 @default.
• W3194738900 hasConcept C134306372 @default.
• W3194738900 hasConcept C154945302 @default.
• W3194738900 hasConcept C158709400 @default.
• W3194738900 hasConcept C169258074 @default.
• W3194738900 hasConcept C173163844 @default.
• W3194738900 hasConcept C185933670 @default.
• W3194738900 hasConcept C18903297 @default.
• W3194738900 hasConcept C205649164 @default.
• W3194738900 hasConcept C2778102629 @default.
• W3194738900 hasConcept C2778755073 @default.
• W3194738900 hasConcept C33923547 @default.
• W3194738900 hasConcept C39432304 @default.
• W3194738900 hasConcept C41008148 @default.
• W3194738900 hasConcept C51399673 @default.
• W3194738900 hasConcept C58640448 @default.

• next