The Irish Land-Parcels Identification System (LPIS)–Experiences in ongoing and recent environmental research and land cover mapping

Zimmermann, Jesko; Fealy, Réamonn; Lydon, Kevin; Mockler, Eva M.; O’Brien, P.A.; Packham, Ian; Smith, G.; Green, Stuart

doi:10.3318/bioe.2016.04

Cited by 11 publications

(7 citation statements)

References 20 publications

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“…Information on the individual blocks ("land parcels") was obtained from the Northern Irish Land Parcel Identification Systems (LPIS) database. The LPIS are EU mandated geospatial databases employed in the allocation of Common Agricultural Policy (CAP) payments (Council Regulation (EC) 73/2009), however they also offer the ability to explore land use change on national scales (Bartolini and Viaggi, 2013;Zimmermann et al, 2016). The NI LPIS database is administered by the Department for Agriculture, Environment and Rural Affairs (DAERA).…”

Section: Data Sourcesmentioning

confidence: 99%

Quantifying Land Fragmentation Metrics for Cattle Enterprises in Northern Ireland

Milne¹,

Byrne²,

Campbell³

et al. 2021

Preprint

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Farm fragmentation is the occurrence of numerous and often discontinuous land parcels associated with a single farm. Farm fragmentation is considered to be a defining feature of Northern Ireland’s (NI) agricultural landscape, influencing agricultural efficiency, productivity, and the spread of livestock diseases. Despite this, the full extent of farm fragmentation in cattle farms is not well understood, and little is known of how farm fragmentation either influences, or is influenced by, different animal production types. This study describes and quantifies farm fragmentation metrics for cattle enterprises in NI, presented separately for dairy and non-dairy production types. We find that 35% of farms consist of five or more fragments, with larger farms associated with greater levels of farm fragmentation, fragment dispersal and contact with contiguous farms. Moreover, this was particularly evident in dairy farms, which were over twice the size of farms associated with non-dairy production types, with twice as many individual land parcels and twice as many fragments. We hypothesise that the difference in farm fragmentation and farm size between dairy and non-dairy production types is associated with the recent expansion of dairy farms after the abolition of the milk quota system in 2015, which may have driven the expansion of dairy farms via the acquisition of land. The high levels of land fragmentation, fragment dispersal and contiguous contact observed in NI cattle farms may also have important implications for agricultural productivity and epidemiology alike. Whilst highly connected pastures could facilitate the dissemination of disease, highly fragmented and parcellised land could also hamper productivity via diseconomies of scale, such as preventing the increase of herd sizes or additionally, adding to farm costs by increasing the complexity of herd management.

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Section: Data Sourcesmentioning

confidence: 99%

Quantifying Land Fragmentation Metrics for Cattle Enterprises in Northern Ireland

Milne¹,

Byrne²,

Campbell³

et al. 2021

Preprint

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“…Impact scales used in this paper are relative, with a value of 5 assigned to the most impacted area for that model component and 0 assigned to the least impacted area. Integrating more recent data from the Land Parcel Information System (LPIS) would benefit future modelling (Zimmermann et al, 2016), in addition to the locations of below IED-threshold pig and poultry farms. While the MARSH model accounts for potential cumulative impacts of IED licensed pig and poultry farms, it is important to consider the potential influence of sub IED threshold farms which contribute to a cumulative impact.…”

Section: Marsh Model Source Componentsmentioning

confidence: 99%

Mapping ammonia risk on sensitive habitats in Ireland

Kelleghan

Hayes

Everard

et al. 2019

Science of The Total Environment

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The aim of this study was to provide a simple, cost-effective, risk-based map of terrestrial areas in Ireland where environmental quality may be at risk from atmospheric ammonia. This risk-based approach identifies Natura 2000 sites in Ireland at risk from agricultural atmospheric ammonia, collating best available data using Geographical Information Systems (GIS). In mapping ammonia risk on sensitive habitats (MARSH), the method identifies sources of ammonia, classifying them on a scale of risk from 0-5. These sources are subsequently summed based on a weighting determined by their contribution to national emissions divided by their potentially impacted area. A Pearson's correlation coefficient of 0.72 allows for concentrations from United Kingdom's FRAME modelling to be applied to the MARSH model, which are corrected based on recent monitoring. Applying Designation Weighted Indicators (DWI), the MARSH model predicts that 80.7, 34.3 and 5.9% of Natura 2000 sites in Ireland may exceed ambient concentrations of 1, 2, and 3 µg/m 3 , respectively. A Nitroindex map of Ireland based on available lichen records was also developed and is presented as part of this study. This Nitroindex was used to identify areas where impacts have already been recorded, thus informing the classification of sites "at-risk". The combination of both the MARSH and Nitroindex models ascertains which Natura 2000 sites are most at risk, thereby providing valuable data to relevant authorities. The MARSH model acts as a first step towards screening and assessing Natura 2000 sites most at risk from atmospheric ammonia, providing a tool to demonstrate compliance with the National Emissions Ceilings Directive.

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“…Hence, the Land-Parcel Identification System (LPIS) was used as input data to the pasture and arable submodels, as it provides a superior source of agricultural land management information, particularly when combined with additional data from the DAFM. See Zimmerman et al (2016) for details of the LPIS and its use in environmental research.…”

Section: Study Catchmentmentioning

confidence: 99%

“…For pasture, the CCT used the Ncycle_IRL Model (del Prado et al, 2006) to calculate the leached nitrate values associated with the fertiliser application rate and soil drainage and pasture type. Inputs to the pasture model were from the LPIS (see Zimmerman et al, 2016), which provide applied rates of N (kg ha (1 yr (1 ) at land parcel level. Nutrient reduction factors were then applied to the leached amount of nutrients (Eq.…”

Section: Diffuse N Lossesmentioning

confidence: 99%

Nutrient load apportionment to support the identification of appropriate water framework directive measures

Mockler¹,

Deakin²,

Archbold³

et al. 2016

Biology and Environment: Proceedings of the Royal Irish Academy

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The Irish Land-Parcels Identification System (LPIS)–Experiences in ongoing and recent environmental research and land cover mapping

Cited by 11 publications

References 20 publications

Quantifying Land Fragmentation Metrics for Cattle Enterprises in Northern Ireland

Quantifying Land Fragmentation Metrics for Cattle Enterprises in Northern Ireland

Mapping ammonia risk on sensitive habitats in Ireland

Nutrient load apportionment to support the identification of appropriate water framework directive measures

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