LAMASUS - Biodiversity estimates for agricultural management and other statistics

van 't Veen, H. & Cornford, R. ORCID: https://orcid.org/0000-0002-9963-3603 (2025). LAMASUS - Biodiversity estimates for agricultural management and other statistics. 10.5281/zenodo.16941449.

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Abstract

We provide key outputs from ‘D5.2 Coefficients of estimated biodiversity responses to land use and maps of conservation priorities’, including estimated model coefficients, biodiversity response functions, and spatially projected biodiversity indicator values.

Biodiversity estimates from two different institutes are provided:

(i) GLOBIO - Mean species abundance (MSA) estimates for different agricultural management types are provided.

(ii) IIASA - Biodiversity intactness index (BII) estimates for different agricultural and forest management types are provided.

This dataset has been created as part of LAMASUS Project under the scope of Deliverable 5.2 titled "Coefficients of estimated biodiversity responses to land use and maps of conservation priorities", which can be found here: https://www.lamasus.eu/wp-content/uploads/LAMASUS_D5.2_Coefficients-biodiversity_final.pdf.

GLOBIO estimates (MSA):

Biodiversity estimates for the LAMASUS deliverable D5.2. The "Statistics.xls" file includes biodiversity estimates and confidence intervals for different types of agricultural management as described in the methodology of "LAMASUS_D5.2_Coefficients-biodiversity_final.pdf". Additionally, the file contains post-hoc test outcomes, estimates for threatened biodiversity, coefficients for relationships over time since the establishment of an agricultural management system, as well as model comparisons with continent as a fixed effect to assess whether spatial variability explains the results. Explanations can be found in the "LAMASUS_D5.2_Coefficients-biodiversity_final.pdf" file.

IIASA estimates (BII):

Data are split into two file types, ‘BASE’ and ‘OPTIMAL’. BASE refers to outputs from the Base model structure as described in D5.2, using only PREDICTS data (i.e., models presented in Figure 2, PREDICTS weight = 1). OPTIMAL refers to the Optimal model structure described in D5.2, and incorporating our data-integration approach (i.e., models presented in Figures 4, 5, 6, coloured lines, PREDICTS weight = 0.7). Data for all indicators presented in D5.2 (Species richness, Total abundance, Geometric mean abundance, Sørensen, Bray-Curtis, Canberra and the biodiversity intactness index [BII]) are included. However, results for the combination of Optimal and Species richness are missing due to model convergence issues.

Within the BASE files, we provide model coefficients (coefficient_estimates.csv, ‘(Intercept)’ corresponds to Primary(-Primary)), response estimates relative to Primary(-Primary) (response_functions.csv), and spatial predictions given the LAMASUS Land Use Management Data Set (See et al., 2025, https://zenodo.org/records/15488011). Spatial predictions are provided for the EU (plus UK) at 1km (eur_1km.tif), NUTS2 (eur_NUTS2.csv), and country (eur_countries.csv) scales, for 2000, 2010 and 2018.

Model coefficients and spatial predictions are similarly provided in the OPTIMAL files. Rescaled response estimates are not provided for the Optimal models due to dependence on continuous covariates. However, given the model coefficients, responses can be generated for specific variable combinations.

Item Type:	Data
Additional Information:	Creative Commons Attribution 4.0 International
Research Programs:	Biodiversity and Natural Resources (BNR) Biodiversity and Natural Resources (BNR) > Biodiversity, Ecology, and Conservation (BEC)
Depositing User:	Luke Kirwan
Date Deposited:	09 Jan 2026 10:39
Last Modified:	09 Jan 2026 10:39
URI:	https://pure.iiasa.ac.at/21188

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