{"title":"Identification of habitat requirements of farmland birds based on a hierarchical structured monitoring scheme","authors":"J. Hoffmann, U. Wittchen, U. Stachow, Gert Berger","doi":"10.5122/CBIRDS.2013.0026","DOIUrl":null,"url":null,"abstract":"Agricultural landscapes are essential for the conservation of biodiversity. Nevertheless, a \nnegative trend continues to be observed in many rural areas for the most prominent indicator species \ngroup, the farmland birds. However, clear cause-effect relationships are rarely reported and sometimes \ndifficult to deduce, especially from monitoring data which are based only on the detection of \nspecies and counts of the numbers of individuals. Because the identification of habitat preferences \nis a precondition for farmland bird biodiversity conservation efforts, a monitoring scheme for the \nsimultaneous collection and analysis of bird and land use data was developed and tested. In order \nto assign the occurrence of bird species to land characteristics at various spatial scales and different \nland use and crop types, we applied a hierarchical structured sampling design. The spatial scales were \n‘agricultural landscape’, ‘agricultural landscapes types’, ‘field crops and other habitats’ and ‘vegetation \nstructures’. These scales were integrated with a novel concept, the ‘habitat matrix’ (HM). This method \nwas applied to farmland breeding bird abundances on 29 plots, each 1 km² in size, by the use of the \nterritory mapping method. The same plots were enlarged by a 100 m buffer and the sizes and location \nof habitats documented. Vegetation height, coverage and density was also recorded for all crop fields \nin the study area. We propose that this monitoring method facilitates the identification of scale dependent \nrelationships between farmland bird habitat characteristics and bird abundance. This is demonstrated \nby the farmland bird species Corn Bunting (Emberiza calandra), Skylark (Alauda arvensis), \nand Whinchat (Saxicola rubetra). The breeding territories of these species reveal large differences \nwithin the various spatial scales ‘agricultural landscape’, ‘agricultural landscape types’ and ‘field crops’. \nThroughout the breeding season the abundances varied, dependent on the field crop and the development \nof vegetation structures (height, coverage, and density). HM-analysis led to the identification of \nspecific habitat configurations preferred by individual bird species within the agricultural landscape. \nThese findings indicate that the methodology has the potential to design monitoring schemes for the \nidentification of cause-and-effects of landscape configuration, land use and land use changes on the \nhabitat suitability and abundance of farmland birds.","PeriodicalId":227522,"journal":{"name":"Chinese Birds","volume":"118 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Chinese Birds","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5122/CBIRDS.2013.0026","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9
Abstract
Agricultural landscapes are essential for the conservation of biodiversity. Nevertheless, a
negative trend continues to be observed in many rural areas for the most prominent indicator species
group, the farmland birds. However, clear cause-effect relationships are rarely reported and sometimes
difficult to deduce, especially from monitoring data which are based only on the detection of
species and counts of the numbers of individuals. Because the identification of habitat preferences
is a precondition for farmland bird biodiversity conservation efforts, a monitoring scheme for the
simultaneous collection and analysis of bird and land use data was developed and tested. In order
to assign the occurrence of bird species to land characteristics at various spatial scales and different
land use and crop types, we applied a hierarchical structured sampling design. The spatial scales were
‘agricultural landscape’, ‘agricultural landscapes types’, ‘field crops and other habitats’ and ‘vegetation
structures’. These scales were integrated with a novel concept, the ‘habitat matrix’ (HM). This method
was applied to farmland breeding bird abundances on 29 plots, each 1 km² in size, by the use of the
territory mapping method. The same plots were enlarged by a 100 m buffer and the sizes and location
of habitats documented. Vegetation height, coverage and density was also recorded for all crop fields
in the study area. We propose that this monitoring method facilitates the identification of scale dependent
relationships between farmland bird habitat characteristics and bird abundance. This is demonstrated
by the farmland bird species Corn Bunting (Emberiza calandra), Skylark (Alauda arvensis),
and Whinchat (Saxicola rubetra). The breeding territories of these species reveal large differences
within the various spatial scales ‘agricultural landscape’, ‘agricultural landscape types’ and ‘field crops’.
Throughout the breeding season the abundances varied, dependent on the field crop and the development
of vegetation structures (height, coverage, and density). HM-analysis led to the identification of
specific habitat configurations preferred by individual bird species within the agricultural landscape.
These findings indicate that the methodology has the potential to design monitoring schemes for the
identification of cause-and-effects of landscape configuration, land use and land use changes on the
habitat suitability and abundance of farmland birds.