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

Отбор проб Наблюдение
Последняя версия опубликовано National Inventories of Landscapes in Sweden, Department of Forest Resource Management, SLU февр. 20, 2026 National Inventories of Landscapes in Sweden, Department of Forest Resource Management, SLU

Скачайте последнюю версию данных этого ресурса в формате Darwin Core Archive (DwC-A) или метаданных ресурса в форматах EML или RTF:

Данные в формате DwC-A Скачать 17 990 Записи в English (28 MB) - Частота обновления: не планируется
Метаданные в формате EML Скачать в English (17 KB)
Метаданные в формате RTF Скачать в English (18 KB)

Описание

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.

Записи данных

Данные этого sampling event ресурса были опубликованы в виде Darwin Core Archive (DwC-A), который является стандартным форматом для обмена данными о биоразнообразии в виде набора из одной или нескольких таблиц. Основная таблица данных содержит 17 990 записей.

Также в наличии 1 таблиц с данными расширений. Записи расширений содержат дополнительную информацию об основной записи. Число записей в каждой таблице данных расширения показано ниже.

Event (core)
17990
Occurrence 
401516

Данный экземпляр IPT архивирует данные и таким образом служит хранилищем данных. Данные и метаданные ресурсов доступны для скачивания в разделе Загрузки. В таблице версий перечислены другие версии ресурса, которые были доступны публично, что позволяет отслеживать изменения, внесенные в ресурс с течением времени.

Версии

В таблице ниже указаны только опубликованные версии ресурса, которые доступны для свободного скачивания.

Как оформить ссылку

Исследователи должны дать ссылку на эту работу следующим образом:

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

Права

Исследователи должны соблюдать следующие права:

Публикующей организацией и владельцем прав на данную работу является National Inventories of Landscapes in Sweden, Department of Forest Resource Management, SLU. Насколько это возможно по закону, издатель отказался от всех прав на эти данные и посвятил их Public Domain (CC0 1.0). Пользователи могут без ограничений копировать, изменять, распространять и использовать работу, в том числе в коммерческих целях.

Ключевые слова

Samplingevent; Observation

Контакты

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

Географический охват

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.

Ограничивающие координаты Юг Запад [55,179, 10,371], Север Восток [69,535, 24,609]

Временной охват

Дата начала / Дата окончания 2003-01-01 / 2020-12-31

Данные проекта

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.

Название National Inventories of Landscapes in Sweden
Финансирование The Swedish NILS survey is founded by the Swedish Enviromental Protection Agency.
Описание района исследования Sweden
Описание плана выполнения исследований 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.

Исполнители проекта:

Henrik Hedenås
  • Custodian Steward

Методы сбора

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.

Охват исследования 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.
Контроль качества 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.

Описание этапа методики:

  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.

Библиографические ссылки

  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

Дополнительные метаданные

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.

Цель
Альтернативные идентификаторы 133c7d7c-81cf-4114-bf12-30c5d1a57e0d
https://www.gbif.se/ipt/resource?r=nils-event