National Inventories of Landscapes in Sweden: NILS Inventory 2003–2020

Sampling event Observation
Latest version published by National Inventories of Landscapes in Sweden, Department of Forest Resource Management, SLU on Feb 20, 2026 National Inventories of Landscapes in Sweden, Department of Forest Resource Management, SLU

Download the latest version of this resource data as a Darwin Core Archive (DwC-A) or the resource metadata as EML or RTF:

Data as a DwC-A file download 17,990 records in English (28 MB) - Update frequency: not planned
Metadata as an EML file download in English (17 KB)
Metadata as an RTF file download in English (18 KB)

Description

The NILS Inventory 2003–2020 is the original NILS landscape monitoring programme, conducted from 2003 to 2020, and encompassed all terrestrial environments in Sweden, including both lowland and alpine areas (lowland until 2018; alpine until 2020). The programme was established to monitor biodiversity across the Swedish landscape and to track long-term changes in the everyday landscape. A central component was to assess changes in landscape composition and structure, and the prerequisites for biodiversity.In years 2003–2018 data were collected nationwide, from 2019-2020 data collection continued only in alpine areas.The true coordinates of the permanent sample plots are protected. The coordinates in this dataset are generalised, by randomly offsetting true coordinates with 200-2000 m. See also Additional Information.The original NILS Inventory has been replaced and extended by five separate inventories specifically adapted to the different landscape types: the NILS Alpine Inventory (initiated 2021), NILS Deciduous Forest Inventory (initiated 2020), NILS Grassland Inventory (initiated 2020), NILS Wetland Inventory (initiated 2023) and the THUF Seashore Inventory (initiated 2012). Data from those inventories will be published in separate datasets and can currently be accessed only directly from the organisation.

Data Records

The data in this sampling event resource has been published as a Darwin Core Archive (DwC-A), which is a standardized format for sharing biodiversity data as a set of one or more data tables. The core data table contains 17,990 records.

1 extension data tables also exist. An extension record supplies extra information about a core record. The number of records in each extension data table is illustrated below.

Event (core)
17990
Occurrence 
401516

This IPT archives the data and thus serves as the data repository. The data and resource metadata are available for download in the downloads section. The versions table lists other versions of the resource that have been made publicly available and allows tracking changes made to the resource over time.

Versions

The table below shows only published versions of the resource that are publicly accessible.

How to cite

Researchers should cite this work as follows:

Hedenås H (2026). National Inventories of Landscapes in Sweden: NILS Inventory 2003–2020. Version 1.2. National Inventories of Landscapes in Sweden, Department of Forest Resource Management, SLU. Samplingevent dataset. https://www.gbif.se/ipt/resource?r=nils-event&v=1.2

Rights

Researchers should respect the following rights statement:

The publisher and rights holder of this work is National Inventories of Landscapes in Sweden, Department of Forest Resource Management, SLU. To the extent possible under law, the publisher has waived all rights to these data and has dedicated them to the Public Domain (CC0 1.0). Users may copy, modify, distribute and use the work, including for commercial purposes, without restriction.

GBIF Registration

This resource has been registered with GBIF, and assigned the following GBIF UUID: 133c7d7c-81cf-4114-bf12-30c5d1a57e0d.  National Inventories of Landscapes in Sweden, Department of Forest Resource Management, SLU publishes this resource, and is itself registered in GBIF as a data publisher endorsed by GBIF Sweden.

Keywords

Samplingevent; Observation

Contacts

Henrik Hedenås
  • Point Of Contact
  • Programme Director
  • Environmental Assessment Specialist
  • Researcher
National Inventories of Landscapes in Sweden, Department of Forest Resource Management, SLU
  • Skogsmarksgränd 17
901 83 Umeå
SE
Henrik Hedenås
  • Point Of Contact
National Inventories of Landscapes in Sweden, Department of Forest Resource Management, SLU
Henrik Hedenås
  • Point Of Contact
  • Programme Director
  • Researcher
  • Environmental Assessment Specialist
National Inventories of Landscapes in Sweden, Department of Forest Resource Management, SLU
  • Skogsmarksgränd 17
901 83 Umeå
SE
Marcus Andersson
  • Programmer
Department of Forest Resource Management, SLU

Geographic Coverage

NILS data are collected across the whole of Sweden, including alpine, lowland, forested, grassland, and wetland landscapes. The sampling design ensures national representativeness, covering both protected and unprotected areas.

Bounding Coordinates South West [55.179, 10.371], North East [69.535, 24.609]

Temporal Coverage

Start Date / End Date 2003-01-01 / 2020-12-31

Project Data

The NILS programme is to describe the state, distribution, and long-term changes of terrestrial habitats in Sweden. By monitoring biodiversity, landscape composition and structure, and land-use impacts, the programme provides essential information for assessing habitat quality, following biodiversity trends, supporting conservation management, and meeting national and EU-level environmental reporting and policy needs.

Title National Inventories of Landscapes in Sweden
Funding The Swedish NILS survey is founded by the Swedish Enviromental Protection Agency.
Study Area Description Sweden
Design Description See the project website (https://www.slu.se/om-slu/organisation/institutioner/skoglig-resurshushallning/miljoanalys/NILS/) for descriptions of the individual survey schemes in Swedish.

The personnel involved in the project:

Henrik Hedenås
  • Custodian Steward

Sampling Methods

The Alpine, Deciduous Forest, Grassland and Wetland Inventories apply a unified methodological framework designed to monitor landscape composition and habitat conditions across Sweden. The methodology is structured to support long-term, repeatable data collection while remaining flexible enough to include both common and rare habitat types. All NILS inventories follow a hierarchical, two-phase sampling design that links remote sensing–based classification with targeted field surveys. For more details on the hierarchical sampling structure see Step Descriptions. Throughout the program, the hierarchical sampling structure allows inventories of different density to be nested within the same national framework. Remote-sensing classifications ensure that non-relevant areas remain part of the statistical sample even when not visited in the field, supporting unbiased national estimates of habitat distribution and change.

Study Extent NILS uses a stratified, sample-based national design. Inventories consist of recurring field surveys. Sampling units are systematically distributed across Sweden to ensure representative coverage of major habitat types and biogeographical regions. The original NILS 2003–2020 programme included 641 sampling units, approximately 20% of which were surveyed each year. The design of the NILS Inventory 2003 to 2020 consisted of 641 sampling units evenly distributed across Sweden, with approximately 20% revisited annually. The programme integrated aerial photo interpretation with detailed field surveys.
Quality Control All data collected within the NILS programme undergo multiple stages of quality control to ensure accuracy and consistency. For the original NILS programme (2003–2020), quality control procedures included cross-checking field data against distribution maps and other reference materials prior to long-term storage and analysis.

Method step description:

  1. In Phase 1, the primary sampling units (“tracts”) are selected from a national sampling frame consisting of all 1 × 1 km grid cells containing land or freshwater within Sweden. Tracts are chosen using coordinated and balanced sampling procedures, ensuring broad spatial representation across environmental gradients. Once selected, each tract contains a systematic arrangement of circular sample plots, which form the basis for Phase 2.
  2. Phase 2 consists of two steps. Phase 2 - Step 1 is a remote-sensing–based classification of all sample plots within each tract. Depending on the inventory, this step may rely on manual aerial photo interpretation, automated model-based predictions, or a combination of both. The purpose of this step is to identify plots where target habitats are likely to occur and to exclude plots or entire tracts that certain lack such habitats. Plots are assigned to selection classes that determine their eligibility and priority for field surveys.
  3. Phase 2 - Step 2 consists of conducting field surveys in the subset of plots selected from Step 1. The selection is random but stratified by the classification results, giving all potentially relevant plots a non-zero probability of inclusion. This design allows rare habitats to be sampled at higher density while keeping overall field effort feasible. Field teams collect detailed information on vegetation structure, species composition, and habitat condition, enabling refined classification and ecological assessment.

Bibliographic Citations

  1. Ståhl, G., Allard, A., Esseen, P.-A., Glimskär, A., Ringvall, A., Svensson, J., Sundquist, S., Christensen, P., Gallegos Torell, Å., Högström, M., Lagerqvist, K., Marklund, L., Nilsson B. & Inghe O. 2011. National Inventory of Landscapes in Sweden NILS-scope, design, and experiences from establishing a multiscale biodiversity monitoring system. Environmental Monitoring and Assessment, 173(1–4), 579–595 https://doi.org/10.1007/s10661-010-1406-7
  2. Esseen, P. A., Glimskär, A., Ståhl, G., & Sundquist, S. 2007. Field instruction for National Inventory of Landscapes in Sweden, NILS, year 2007 . Umeå. SLU, Department of Forest Resource Management. https://publications.slu.se/?file=publ/show&id=22786&lang=en

Additional Metadata

For the original NILS monitoring programme (2003–2020), the coordinates of sample plots have been intentionally obfuscated to protect sensitive location information. The obfuscation is performed in two steps: 1. Random spatial displacement: Each coordinate is randomly displaced by up to 2,000 meters from its true location. 2. Accuracy assignment: The coordinate uncertainty is set to 2,000 meters, ensuring that the true location of the sample plot is always contained within the stated accuracy of the published, displaced coordinate. During this process, the spatial pattern of the sample plots within each sampling tract is preserved, meaning that the relative positions of plots to one another remain intact even though their absolute locations are shifted.

Purpose
Alternative Identifiers 133c7d7c-81cf-4114-bf12-30c5d1a57e0d
https://www.gbif.se/ipt/resource?r=nils-event