Description
Enregistrements de données
Les données de cette ressource données d'échantillonnage ont été publiées sous forme dune Archive Darwin Core (Darwin Core Archive ou DwC-A), le format standard pour partager des données de biodiversité en tant quensemble dun ou plusieurs tableurs de données. Le tableur de données du cœur de standard (core) contient 17 990 enregistrements.
1 tableurs de données dextension existent également. Un enregistrement dextension fournit des informations supplémentaires sur un enregistrement du cœur de standard (core). Le nombre denregistrements dans chaque tableur de données dextension est illustré ci-dessous.
Cet IPT archive les données et sert donc de dépôt de données. Les données et métadonnées de la ressource sont disponibles pour téléchargement dans la section téléchargements. Le tableau des versions liste les autres versions de chaque ressource rendues disponibles de façon publique et permet de tracer les modifications apportées à la ressource au fil du temps.
Versions
Le tableau ci-dessous naffiche que les versions publiées de la ressource accessibles publiquement.
Comment citer
Les chercheurs doivent citer cette ressource comme suit:
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
Droits
Les chercheurs doivent respecter la déclaration de droits suivante:
L’éditeur et détenteur des droits de cette ressource est National Inventories of Landscapes in Sweden, Department of Forest Resource Management, SLU. En vertu de la loi, léditeur a abandonné ses droits par rapport à ces données et les a dédié au Domaine Public (CC0 1.0). Les utilisateurs peuvent copier, modifier, distribuer et utiliser ces travaux, incluant des utilisations commerciales, sans aucune restriction.
Enregistrement GBIF
Cette ressource a été enregistrée sur le portail GBIF, et possède lUUID GBIF suivante : 133c7d7c-81cf-4114-bf12-30c5d1a57e0d. National Inventories of Landscapes in Sweden, Department of Forest Resource Management, SLU publie cette ressource, et est enregistré dans le GBIF comme éditeur de données avec lapprobation du GBIF Sweden.
Mots-clé
Samplingevent; Observation
Contacts
- Personne De Contact
- Programme Director
- Environmental Assessment Specialist
- Researcher
- Skogsmarksgränd 17
- Personne De Contact
- Personne De Contact
- Programme Director
- Researcher
- Environmental Assessment Specialist
- Skogsmarksgränd 17
- Programmeur
Couverture géographique
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.
| Enveloppe géographique | Sud Ouest [55,179, 10,371], Nord Est [69,535, 24,609] |
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Couverture temporelle
| Date de début / Date de fin | 2003-01-01 / 2020-12-31 |
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Données sur le projet
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.
| Titre | National Inventories of Landscapes in Sweden |
|---|---|
| Financement | The Swedish NILS survey is founded by the Swedish Enviromental Protection Agency. |
| Description du domaine détude / de recherche | Sweden |
| Description du design | 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. |
Les personnes impliquées dans le projet:
- Curateur Des Données
Méthodes déchantillonnage
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.
| Etendue de létude | 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. |
|---|---|
| Contrôle qualité | 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. |
Description des étapes de la méthode:
- 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.
- 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.
- 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.
Citations bibliographiques
- 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
- 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
Métadonnées additionnelles
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.
| Objet | |
|---|---|
| Identifiants alternatifs | 133c7d7c-81cf-4114-bf12-30c5d1a57e0d |
| https://www.gbif.se/ipt/resource?r=nils-event |