{"refrec":{"BRefID":294692,"RR":"<b>Howison, R.A.; Piersma, T.; Kentie, R.; Hooijmeijer, C.E.W.; Olff, H.</b> (2018). Quantifying landscape-level land-use intensity patterns through radar-based remote sensing. <i>J. Appl. Ecol. 55(3)</i>: 1276-1287. <a href=\"https://dx.doi.org/10.1111/1365-2664.13077\" target=\"_blank\">https://dx.doi.org/10.1111/1365-2664.13077</a>","BEntID":286759,"PublicFlag":1,"CheckedFlag":1,"wosflag":1,"vabbflag":1,"RefStringPartII":". <i>J. Appl. Ecol. 55(3)</i>: 1276-1287. <a href=\"https://dx.doi.org/10.1111/1365-2664.13077\" target=\"_blank\">https://dx.doi.org/10.1111/1365-2664.13077</a>","DocTypID":8,"DocType":"Journal article","MarineFlag":0,"FreshFlag":0,"BrackishFlag":0,"TerrestrialFlag":0,"Authorstring":"Howison, R.A.; Piersma, T.; Kentie, R.; Hooijmeijer, C.E.W.; Olff, H.","OrigTitleTranslFlag":0,"Authorstringtrunc":"Howison, R.A. <i>et al.</i>","Englishabstract":"1. The increasing availability of high resolution and high frequency, radar-basedremotesensing data (i.e. observations on land surface characteristics, insensitive tocloud interference), makes it possible to track land-useintensity more precisely atthe whole landscape scale.2. Here, we develop a new radar-basedremote sensing technique for large-scalequantification of agricultural land-useintensity across human-dominatedlandscapes.We compare the respective abilities of Sentinel-1C-bandradar (C-SAR,C-bandsynthetic aperture radar) remote sensing data with the more traditionaloptical data, as MODIS enhanced vegetation indices (MODIS EVI), in capturing seasonalityand the magnitude of land-useintensity (quantity and frequency of biomassremoval). Linking our novel radar-basedchange detection algorithm toagricultural management activities on the ground, we quantify a whole landscapeaccording to timing of mowing, a key grassland disturbance, thus capturing thedynamics of mowing regimes in grasslands.3. We found that the radar-basedproxy provides a rapid and reliable measure of land-useintensity, reliably predicting plant community composition at the landscapescale.4. We tested this methodology using data on black-tailedgodwits (Limosa limosalimosa), a specialist breeder of lowland meadows which, over the last 50 years, hasshown dramatic declines. During territory establishment, black-tailedgodwits preferentiallyused fields corresponding to intermediate radar-sensedland-useintensities.However, the present-daytiming of mowing in these habitats was such thatmost godwit broods were less likely to be successful than broods in grasslands usedat a lower intensity.5. Synthesis and applications. The newly developed radar-basedland-useintensityquantification is a powerful tool that makes it possible for ecologists and land managersto include agricultural land-useintensity measurements in population studiesof the plants, insects, birds and mammals using these landscapes, at the spatialscale of entire populations. Applications of this tool include evaluating the effectivenessof European agri-environmentschemes aiming to increase biodiversity","AbstractOtherLang":null,"BibLvlCode":"AS","StandardTitle":"Quantifying landscape-level land-use intensity patterns through radar-based remote sensing","OrigTitleLangCode":"en","OrigTitleLangCodeExtended":"eng","OrigTitleLangID":15,"DateLastModified":{"date":"2026-04-22 01:32:00.698351","timezone_type":1,"timezone":"+02:00"},"UserAccessRight":null,"UserAccID":null,"AuthorKeywords":"black-tailed godwit; change detection; habitat preference; land-useintensity; MODIS EVI; mowing frequency; radar; remote sensing; SentinelC-SAR; temporal stability","OtherDescriptors":null,"Notes":null,"AnaPub":2018,"MonPub":null,"DateUpdate":"2022-10-11","DateCreate":"2018-04-16","SecASFANote":null,"ConfID":null,"PeerRev":1,"VlizCoreFlag":1,"WoScode":"WOS:000430059500023","VABBcode":null,"OpenAcc":1,"DOI":"10.1111/1365-2664.13077"},"refs":null,"anarec":{"AnaID":294692,"PubliDate":2018,"Pagination":"1276-1287","XtraPublOfAnaID":null,"ISBN":null,"Volume":"55","Issue":"3","BRefMon":null,"BRefMonRR":null,"BRefXtra":null,"BRefXtraRR":null,"SerBRefID":43021,"SerRR":"Journal of Applied Ecology. British Ecological Society: Oxford.  ISSN 0021-8901; e-ISSN 1365-2664","StandardTitleSer":"Journal of Applied Ecology","ISSN":"0021-8901","AbbrevSer":"J. Appl. 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