Helen V. Ford, J. Gove, J. Healey, A. Davies, N. A. Graham, Gareth J. Williams
{"title":"Recurring bleaching events disrupt the spatial properties of coral reef benthic communities across scales","authors":"Helen V. Ford, J. Gove, J. Healey, A. Davies, N. A. Graham, Gareth J. Williams","doi":"10.1002/rse2.355","DOIUrl":"https://doi.org/10.1002/rse2.355","url":null,"abstract":"","PeriodicalId":21132,"journal":{"name":"Remote Sensing in Ecology and Conservation","volume":" ","pages":""},"PeriodicalIF":5.5,"publicationDate":"2023-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45181527","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sara M. Galbraith, Jonathon J. Valente, Christopher J. C. Dunn, J. Rivers
{"title":"Both Landsat‐ and LiDAR‐derived measures predict forest bee response to large‐scale wildfire","authors":"Sara M. Galbraith, Jonathon J. Valente, Christopher J. C. Dunn, J. Rivers","doi":"10.1002/rse2.354","DOIUrl":"https://doi.org/10.1002/rse2.354","url":null,"abstract":"","PeriodicalId":21132,"journal":{"name":"Remote Sensing in Ecology and Conservation","volume":" ","pages":""},"PeriodicalIF":5.5,"publicationDate":"2023-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44337775","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Robert C. Lonsinger, Marlin M. Dart, R. Larsen, Robert N. Knight
{"title":"Efficacy of machine learning image classification for automated occupancy‐based monitoring","authors":"Robert C. Lonsinger, Marlin M. Dart, R. Larsen, Robert N. Knight","doi":"10.1002/rse2.356","DOIUrl":"https://doi.org/10.1002/rse2.356","url":null,"abstract":"","PeriodicalId":21132,"journal":{"name":"Remote Sensing in Ecology and Conservation","volume":" ","pages":""},"PeriodicalIF":5.5,"publicationDate":"2023-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42713556","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abigail Barenblitt, L. Fatoyinbo, N. Thomas, A. Stovall, Celio de Sousa, Chukwuebuka Nwobi, L. Duncanson
{"title":"Invasion in the Niger Delta: remote sensing of mangrove conversion to invasive Nypa fruticans from 2015 to 2020","authors":"Abigail Barenblitt, L. Fatoyinbo, N. Thomas, A. Stovall, Celio de Sousa, Chukwuebuka Nwobi, L. Duncanson","doi":"10.1002/rse2.353","DOIUrl":"https://doi.org/10.1002/rse2.353","url":null,"abstract":"","PeriodicalId":21132,"journal":{"name":"Remote Sensing in Ecology and Conservation","volume":" ","pages":""},"PeriodicalIF":5.5,"publicationDate":"2023-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45643769","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Katherine M. Green, Mala Virdee, H. Cubaynes, Angelica I. Avilés-Rivero, P. Fretwell, P. Gray, D. Johnston, C. Schönlieb, L. Torres, Jennifer A. Jackson
{"title":"Gray whale detection in satellite imagery using deep learning","authors":"Katherine M. Green, Mala Virdee, H. Cubaynes, Angelica I. Avilés-Rivero, P. Fretwell, P. Gray, D. Johnston, C. Schönlieb, L. Torres, Jennifer A. Jackson","doi":"10.1002/rse2.352","DOIUrl":"https://doi.org/10.1002/rse2.352","url":null,"abstract":"","PeriodicalId":21132,"journal":{"name":"Remote Sensing in Ecology and Conservation","volume":" ","pages":""},"PeriodicalIF":5.5,"publicationDate":"2023-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46628134","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Garbarino, D. Morresi, Nicolò Anselmetto, P. Weisberg
{"title":"Treeline remote sensing: from tracking treeline shifts to multi‐dimensional monitoring of ecotonal change","authors":"M. Garbarino, D. Morresi, Nicolò Anselmetto, P. Weisberg","doi":"10.1002/rse2.351","DOIUrl":"https://doi.org/10.1002/rse2.351","url":null,"abstract":"","PeriodicalId":21132,"journal":{"name":"Remote Sensing in Ecology and Conservation","volume":" ","pages":""},"PeriodicalIF":5.5,"publicationDate":"2023-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47608945","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Comparison of bird migration in a radar wind profiler and a dedicated bird radar","authors":"Nadja Weisshaupt, M. Hervo, B. Haest","doi":"10.1002/rse2.350","DOIUrl":"https://doi.org/10.1002/rse2.350","url":null,"abstract":"","PeriodicalId":21132,"journal":{"name":"Remote Sensing in Ecology and Conservation","volume":" ","pages":""},"PeriodicalIF":5.5,"publicationDate":"2023-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44514665","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hui Zhang, S. Turvey, Shree P. Pandey, Xiqiang Song, Zhong-yu Sun, Nan Wang
{"title":"Commercial drones can provide accurate and effective monitoring of the world's rarest primate","authors":"Hui Zhang, S. Turvey, Shree P. Pandey, Xiqiang Song, Zhong-yu Sun, Nan Wang","doi":"10.1002/rse2.341","DOIUrl":"https://doi.org/10.1002/rse2.341","url":null,"abstract":"","PeriodicalId":21132,"journal":{"name":"Remote Sensing in Ecology and Conservation","volume":" ","pages":""},"PeriodicalIF":5.5,"publicationDate":"2023-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48749763","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yuval Werber, Gadi Hareli, Omer Yinon, Nir Sapir, Y. Yovel
{"title":"Drone‐mounted audio‐visual deterrence of bats: implications for reducing aerial wildlife mortality by wind turbines","authors":"Yuval Werber, Gadi Hareli, Omer Yinon, Nir Sapir, Y. Yovel","doi":"10.1002/rse2.316","DOIUrl":"https://doi.org/10.1002/rse2.316","url":null,"abstract":"Wind energy is a major and rapidly expanding renewable energy source. Horizontal‐axis wind turbines, the main tool in this industry, induce mortality in flying animals and consequently bring about conservation concerns and regulatory restrictions. We utilized a unique combination of RADAR, LIDAR and ultrasonic acoustic recorders to test the utility of a novel technology meant to prevent wind turbine‐related mortality in bats. Our drone‐mounted deterrent device produces a pulsating combination of strong auditory and visual signals while moving through the air. LIDAR was used to assess the device's impact below its flight altitude and RADAR to assess its influence above its flight altitude. Continuous acoustic recordings from ground level to ~400 m above‐ground‐level were used to monitor bat activity in the research site. We recorded the nightly altitudinal distributions of multiple bat species throughout the experiment. Analysis revealed a significant change in activity while the deterrent was flying compared to baseline conditions. We also recorded a significant ~40% decrease below and a significant ~50% increase above the deterrent's flight altitude during its operation compared to the post‐flight control. The tested technology is independent of wind farm activities and does not require modifying wind turbine form or operation procedures. The device differs from previously proposed solutions by being dynamic – moving in the airspace and emitting constantly changing signals – thus decreasing the probability of animal habituation. Our findings suggest that the deterrent could dramatically decrease wind turbine‐related mortality by deterring bats from approaching rotor‐swept airspace. Focused implementation in conditions where bat activity and energy production are in conflict may provide a practical, cost‐effective mortality mitigation solution compared to current alternatives. Thus, our results should be considered by the wind‐turbine industry and environmental monitoring and animal conservation organizations, as well as by regulatory agencies, when pursuing alleviation of wind turbine‐related mortality.","PeriodicalId":21132,"journal":{"name":"Remote Sensing in Ecology and Conservation","volume":" ","pages":""},"PeriodicalIF":5.5,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47960510","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Richard Turner, Ophélie J. D. Lasne, Kara N. Youngentob, S. Shokirov, Helen L. Osmond, L. Kruuk
{"title":"Use of Airborne Laser Scanning to assess effects of understorey vegetation structure on nest‐site selection and breeding performance in an Australian passerine bird","authors":"Richard Turner, Ophélie J. D. Lasne, Kara N. Youngentob, S. Shokirov, Helen L. Osmond, L. Kruuk","doi":"10.1002/rse2.342","DOIUrl":"https://doi.org/10.1002/rse2.342","url":null,"abstract":"1 In wild bird populations, the structure of vegetation around nest-sites can influence the risk of predation 2 of dependent young offspring, generating selection for breeding birds to choose nest-sites with 3 vegetation characteristics associated with lower predation rates. However, for researchers, vegetation 4 structure can be difficult to quantify objectively in the field, which might explain why there remains a 5 general lack of understanding of which characteristics are most important in determining rates of 6 predation. Airborne Laser Scanning (ALS) offers a powerful means of measuring vegetation structure 7 at unprecedented resolution across different spatial scales. Here, we combined ALS with 11 years of 8 breeding data from a wild population of superb fairy-wrens Malurus cyaneus in south-east Australia, a 9 species which nests relatively close to the ground and has high rates of nest and fledgling predation. We 10 derived structural measurements of understorey (0-8 m) vegetation from a contiguous grid of 30 x 30 11 m resolution cells across our c. 65 hectare study area. We tested whether: (i) cells with nests differed in 12 their understorey vegetation structure characteristics compared to those without nests; and (ii) the 13 selection of these sites for nesting was adaptive, by assessing the effects of vegetation characteristics on 14 rates of nest success and fledgling survival, and the subsequent probability of a breeding female having 15 any reproductive success. We found that nest-cells differed from unused cells primarily in having denser 16 vegetation in the lowest layer of the understorey (0-2 m; the ‘groundstorey’ layer). Understorey 17 vegetation was also on average lower in height in nest-cells. However, relationships between 18 understorey vegetation structure characteristics and breeding performance were mixed. Nest success 19 rates decreased with higher volumes of groundstorey vegetation; as did fledgling survival rates, though 20 only in nest-cells with lower height vegetation. Reproductive success was not influenced by any of the 21","PeriodicalId":21132,"journal":{"name":"Remote Sensing in Ecology and Conservation","volume":" ","pages":""},"PeriodicalIF":5.5,"publicationDate":"2023-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44996843","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}