Land Classification for Strategic Ecological Survey

Bunce, R. G. H.; Barr, C. J.; Clarke, Ralph T.; Howard, D.C.; Lane, Andrew M.

doi:10.1006/jema.1996.0034

Cited by 128 publications

(128 citation statements)

References 15 publications

(18 reference statements)

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“…Otra de las aplicaciones potenciales de las regionalizaciones basadas en los organismos es la planificación de muestreos y la selección de las localidades de colecta (Bunce et al, 1983(Bunce et al, , 1996Balmford & Gaston, 1999;Fisher, 1999), una cuestión metodológicamente muy similar a la de seleccionar la localización de los espacios a proteger. Se trata pues de elegir el emplazamiento de las localidades de muestreo al objeto de maximizar la diversidad de un grupo de organismos que podemos colectar en un territorio determinado, de modo que si las localidades de colecta son ubicadas en cada una de las clases territoriales aumentaría la probabilidad de obtener una representación fiable de todos los conjuntos faunísticos existentes.…”

Section: Introductionunclassified

Una estrategia para obtener regionalizaciones bióticas fiables a partir de datos incompletos: el caso de los escarabeidos (Coleoptera, Scarabaeinae) ibérico-baleares

Hortal¹,

Lobo²,

Martín-Piera³

2003

GRAELLSIA

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RESUMENSe presenta un método para obtener regionalizaciones basadas en los organismos a partir de datos corológicos incompletos, utilizando como ejemplo los escarabeidos ibéricos (Col., Scarabaeinae). A partir de las unidades territoriales bien muestreadas, realizamos en primer lugar un análisis de ordenación, en el que se identificaron cuatro ejes faunísticos. Posteriormente, los valores de estos ejes se extrapolaron a todo el territorio ibérico mediante Modelos Lineales Generalizados. Con los valores predichos para estos ejes se desarrolló una matriz de distancias faunísticas. A partir de ella, y de las distancias geográficas entre unidades territoriales, se obtuvo una nueva matriz de distancias faunístico-geográficas. Esta matriz fue utilizada para realizar la clasificación final de todo el territorio, obteniéndose ocho regiones faunísticas diferentes. Finalmente, se comentan los resultados obtenidos, identificando las diferencias en su composición y riqueza regional y local. Palabras clave: regionalización, clasificación, ordenación, modelos predictivos, Scarabaeinae, Península Ibérica. ABSTRACTA strategy to obtain reliable biotic regionalizations from incomplete data: the case of IberoBalearic dung beetles (Coleoptera, Scarabaeinae)A method to obtain regionalizations based in the organisms from incomplete distributional data is presented, using Iberian scarabaeine (Col., Scarabaeinae) as an example. A first ordination analysis was carried out using the well-sampled territorial units, where four faunistic axes were identified. Then, the scores of these axes were extrapolated to the whole Iberian territory by means of General Linear Modelling. A faunistic distance matrix was developed using the predicted values for the four axes. Using this matrix and the geographic distances among territorial units, a new matrix, reflecting both the compositional and geographic distances was obtained. This matrix was used to carry out the final classification of all the territory, where eight different faunistic regions were obtained. Finally, the results are briefly discussed, and their composition and local and regional richness are described.

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Section: Introductionunclassified

Una estrategia para obtener regionalizaciones bióticas fiables a partir de datos incompletos: el caso de los escarabeidos (Coleoptera, Scarabaeinae) ibérico-baleares

Hortal¹,

Lobo²,

Martín-Piera³

2003

GRAELLSIA

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“…This classification covered the whole of Great Britain using multivariate analysis of environmental factors, for example altitude and climate (converted into attributes which the statistical methods at the time could analyse) from each 1 km square (Bunce et al, 1996b). A primary objective of this methodology was to minimise bias, as the classification divides the population into discrete strata that are then used to derive samples from which ecological parameters such as vegetation can be recorded.…”

Section: Survey Design: Site Selection and Stratificationmentioning

confidence: 99%

“…As a consequence of this, the raw habitat data are not available as spatial datasets but rather as flat files, which may be analysed spatially at the level of the 45 environmental land classes, in conjunction with the ITE Land Classification dataset ). Regional estimates below the level of these land classes are not statistically robust due to sampling limitations, as described by Bunce et al (1996b). National estimates are available in spatial formats, as detailed in Sect.…”

Section: Data Qualitymentioning

confidence: 99%

Ecological landscape elements: long-term monitoring in Great Britain, the Countryside Survey 1978–2007 and beyond

Wood

Bunce

Norton

et al. 2018

Earth Syst. Sci. Data

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Abstract. The Countryside Survey (CS) of Great Britain (GB) provides a unique and statistically robust series of datasets, consisting of an extensive set of repeated ecological measurements at a national scale, covering a time span of 29 years. CS was first undertaken in 1978 to provide a baseline for ecological and land use change monitoring in the rural environment of GB, following a stratified random design, based on 1 km squares. Originally, eight random 1 km squares were drawn from each of 32 environmental classes, thus comprising 256 sample squares in the 1978 survey. The number of these sites increased to 382 in 1984, 506 in 1990, 569 in 1998 and 591 in 2007. Detailed information regarding vegetation types and land use was mapped in all five surveys, allowing reporting by defined standard habitat classifications. Additionally, point and linear landscape features (such as trees and hedgerows) are available from all surveys after 1978. From these stratified, randomly located sample squares, information can be converted into national estimates, with associated error terms.Other data, relating to soils, freshwater and vegetation, were also sampled on analogous dates. However, the present paper describes only the surveys of landscape features and habitats. The resulting datasets provide a unique, comprehensive, quantitative ecological coverage of extent and change in these features in GB. Basic results are presented and their implications discussed. However, much opportunity for further analyses remains.Data from each of the survey years are available via the following DOIs: Landscape area data 1978: https://doi.org/10.5285/86c017ba-dc62-46f0-ad13-c862bf31740e, 1984: https://doi.org/10.5285/b656bb43-448d-4b2c-aade-7993aa243ea3, 1990: https://doi.org/10.5285/94f664e5-10f2-4655-bfe6-44d745f5dca7, 1998: https://doi.org/10.5285/1e050028-5c55-42f4-a0ea-c895d827b824, and 2007: https://doi.org/10.5285/bf189c57-61eb-4339-a7b3-d2e81fdde28d; Landscape linear feature data 1984: https://doi.org/10.5285/a3f5665c-94b2-4c46-909e-a98be97857e5, 1990: https://doi.org/10.5285/311daad4-bc8c-485a-bc8a-e0d054889219, 1998: https://doi.org/10.5285/8aaf6f8c-c245-46bb-8a2a-f0db012b2643 and 2007: https://doi.org/10.5285/e1d31245-4c0a-4dee-b36c-b23f1a697f88, Landscape point feature data 1984: https://doi.org/10.5285/124b872e-036e-4dd3-8316-476b5f42c16e, 1990: https://doi.org/10.5285/1481bc63-80d7-4d18-bcba-8804aa0a9e1b, 1998: https://doi.org/10.5285/ed10944f-40c8-4913-b3f5-13c8e844e153 and 2007: https://doi.org/10.5285/55dc5fd7-d3f7-4440-b8a7-7187f8b0550b.

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“…The survey design is based on a series of dispersed, stratified, randomly selected 1 km squares from across Britain, which numbered 256 in 1978Britain, which numbered 256 in , 506 in 1990Britain, which numbered 256 in , 569 in 1998Britain, which numbered 256 in and 591 in 2007. The stratification used was the statistical environmental classification of 1 km squares in Great Britain as described in Bunce et al (1996b, c), and summarised in Sect. 2.2.…”

Section: Introductionmentioning

confidence: 99%

Long-term vegetation monitoring in Great Britain – the Countryside Survey 1978–2007 and beyond

Wood

Smart

Bunce

et al. 2017

Earth Syst. Sci. Data

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Abstract. The Countryside Survey (CS) of Great Britain provides a globally unique series of datasets, consisting of an extensive set of repeated ecological measurements at a national scale, covering a time span of 29 years. CS was first undertaken in 1978 to monitor ecological and land use change in Britain using standardised procedures for recording ecological data from representative 1 km squares throughout the country. The same sites, with some additional squares, were used for subsequent surveys of vegetation undertaken in 1990, 1998 and 2007, with the intention of future surveys. Other data records include soils, freshwater habitats and invertebrates, and land cover and landscape feature diversity and extents. These data have been recorded in the same locations on analogous dates. However, the present paper describes only the details of the vegetation surveys.The survey design is a series of gridded, stratified, randomly selected 1 km squares taken as representative of classes derived from a statistical environmental classification of Britain. In the 1978 survey, 256 one-kilometre sample squares were recorded, increasing to 506 in 1990, 569 in 1998 and 591 in 2007. Initially each square contained up to 11 dispersed vegetation plots but additional plots were later placed in different features so that eventually up to 36 additional sampling plots were recorded, all of which can be relocated where possible (unless the plot has been lost, for example as a consequence of building work), providing a total of 16 992 plots by 2007. Plots are estimated to have a precise relocation accuracy of 85 %. A range of plots located in different land cover types and landscape features (for example, field boundaries) are included.Although a range of analyses have already been carried out, with changes in the vegetation being related to a range of drivers at local and national scales, there is major potential for further analyses, for example in relation to climate change. Although the precise locations of the plots are restricted, largely for reasons of landowner confidentiality, sample sites are intended to be representative of larger areas, and many potential opportunities for further analyses remain.

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Land Classification for Strategic Ecological Survey

Cited by 128 publications

References 15 publications

Una estrategia para obtener regionalizaciones bióticas fiables a partir de datos incompletos: el caso de los escarabeidos (Coleoptera, Scarabaeinae) ibérico-baleares

Una estrategia para obtener regionalizaciones bióticas fiables a partir de datos incompletos: el caso de los escarabeidos (Coleoptera, Scarabaeinae) ibérico-baleares

Ecological landscape elements: long-term monitoring in Great Britain, the Countryside Survey 1978–2007 and beyond

Long-term vegetation monitoring in Great Britain – the Countryside Survey 1978–2007 and beyond

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