Description:

The files refer to the data used in Portier et al. "‘Latent reserves’: a hidden treasure in National Forest Inventories" (2020) *Journal of Ecology*. **'Latent reserves'** are defined as plots in National Forest Inventories (NFI) that have been free of human influence for >40 to >70 years. They can be used to investigate and acquire a deeper understanding of attributes and processes of near-natural forests using existing long-term data. To determine which NFI sample plots could be considered ‘latent reserves’, criteria were defined based on the information available in the Swiss NFI database: * Shrub forests were excluded. * Plots must have been free of any kind of management, including salvage logging or sanitary cuts, for a minimum amount of time. Thresholds of 40, 50, 60 and 70 years without intervention were tested. * To ensure that species composition was not influenced by past management, plots where potential vegetation was classified as deciduous by Ellenberg & Klötzli (1972) had to have an observed proportion of deciduous trees matching the theoretical proportion expected in a natural deciduous forest, as defined by Kienast, Brzeziecki, & Wildi (1994). * Plots had to originate from natural regeneration. * Intensive livestock grazing must never have occurred on the plots. The tables stored here were derived from the first, second and third campaigns of the Swiss NFI. The raw data from the Swiss NFI can be provided free of charge within the scope of a contractual agreement (http://www.lfi.ch/dienstleist/daten-en.php). **** The files 'Data figure 2' to 'Data figure 8' are publicly available and contain the data used to produce the figures published in the paper. The files 'Plot-level data for characterisation of 'latent reserves' and 'Tree-level data for characterisation of 'latent reserves' contain all the data required to reproduce the section of the article concerning the characterisation of 'latent reserves' and the comparison to managed forests. The file 'Data for mortality analyses' contains the data required to reproduce the section of the article concerning tree mortality in 'latent reserves'. The access to these three files is restricted as they contain some raw data from the Swiss NFI, submitted to the Swiss law and only accessible upon contractual agreement.

Links:

• Browse image link
• Metadata link
• latent-reserves-in-the-swiss-nfi

Temporal Extent:

Start: 2020-01-01T00:00:00.000Z

Spatial Extent:

Minimum Bounding Rectangle: 45.81802 5.95587 47.80838 10.49203

Polygon: 45.81802 10.49203 47.80838 10.49203 47.80838 5.95587 45.81802 5.95587 45.81802 10.49203

SCIOPS Short Name: latent-reserves-in-the-swiss-nfi Version ID: 1.0 Unique ID: C1931110427-SCIOPS

Description:

These results are for the 0.5 hour extraction of HCl. See also the metadata records for the 4 hour extraction of HCl, and the time trial data for 1 M HCl extractions. A regional survey of potential contaminants in marine or estuarine sediments is often one of the first steps in a post-disturbance environmental impact assessment. Of the many different chemical extraction or digestion procedures that have been proposed to quantify metal contamination, partial acid extractions are probably the best overall compromise between selectivity, sensitivity, precision, cost and expediency. The extent to which measured metal concentrations relate to the anthropogenic fraction that is bioavailable is contentious, but is one of the desired outcomes of an assessment or prediction of biological impact. As part of a regional survey of metal contamination associated with Australia's past waste management activities in Antarctica, we wanted to identify an acid type and extraction protocol that would allow a reasonable definition of the anthropogenic bioavailable fraction for a large number of samples. From a kinetic study of the 1 M HCl extraction of two certified Certified Reference Materials (MESS-2 and PACS-2) and two Antarctic marine sediments, we concluded that a 4 hour extraction time allows the equilibrium dissolution of relatively labile metal contaminants, but does not favour the extraction of natural geogenic metals. In a regional survey of 88 marine samples from the Casey Station area of East Antarctica, the 4 h extraction procedure correlated best with biological data, and most clearly identified those sediments thought to be contaminated by runoff from abandoned waste disposal sites. Most importantly the 4 hour extraction provided better definition of the low to moderately contaminated locations by picking up small differences in anthropogenic metal concentrations. For the purposes of inter-regional comparison, we recommend a 4 hour 1 M HCl acid extraction as a standard method for assessing metal contamination in Antarctica. The fields in this dataset are Location Site Replicate Antimony Arsenic Cadmium Chromium Copper Iron Lead Manganese Nickel Silver Tin Zinc

Links:

• Data link
• undefined
• Metadata link
• ASAC_2201_HCL_0.5

Temporal Extent:

Start: 1997-10-01T00:00:00.000Z

End: 1999-03-31T23:59:59.999Z

Spatial Extent:

Minimum Bounding Rectangle: -66 110 -66 110

AU_AADC Short Name: ASAC_2201_HCL_0.5 Version ID: 1 Unique ID: C1214305813-AU_AADC

Description:

The VGT-S10 are near-global or continental, 10-daily composite images which are synthesised from the 'best available' observations registered in the course of every 'dekad' by the orbiting earth observation system SPOT-VEGETATION. The products provide data from all spectral bands (SWIR, NIR, RED, BLUE), the NDVI and auxiliary data on image acquisition parameters. The VEGETATION system allows operational and near real-time applications, at global, continental and regional scales, in very broad environmentally and socio-economically critical fields. The VEGETATION instrument is operational since April 1998, first with VGT1, from March 2003 onwards, with VGT2. More information is available on: https://docs.terrascope.be/#/DataProducts/SPOT-VGT/Level3/Level3

Links:

• undefined
• Data link
• Data link
• urn:ogc:def:EOP:VITO:VGT_S10

Temporal Extent:

Start: 1998-04-01T00:00:00.000Z

End: 2014-05-31T00:00:00.000Z

Spatial Extent:

Minimum Bounding Rectangle: -56 -180 75 180

FEDEO Short Name: urn:ogc:def:EOP:VITO:VGT_S10 Version ID: 1 Unique ID: C2207472890-FEDEO

Description:

This data set comprises GPS ground data of a sample rate of 10 sec, generated by decoding and sampling GPS high rate ground data. This raw data passed no quality control. The data are given in the Rinex 2.1 format.

Links:

• Data link
• Metadata link
• CH-OG-1-GPS-10S

Temporal Extent:

Start: 2001-05-28T00:00:00.000Z

Spatial Extent:

Minimum Bounding Rectangle: -45.69 -63.51 78.87 170.42

SCIOPS Short Name: CH-OG-1-GPS-10S Version ID: 0.0 Unique ID: C1214586614-SCIOPS

Description:

Continuous measurement of soil water content at 10 and 80 cm depth (3 replications) with 10-HS soil moisture probes (Decagon Incorporation, Pullman, WA, USA). ### Purpose: ### Monitoring of the soil water matrix potential ### Paper Citation: ### * Dobbertin, M.; Eilmann, B.; Bleuler, P.; Giuggiola, A.; Graf Pannatier, E.; Landolt, W.; Schleppi, P.; Rigling, A., 2010: Effect of irrigation on needle morphology, shoot and stem growth in a drought-exposed Pinus sylvestris forest. Tree Physiology, 30, 3: 346-360. [doi: 10.1093/treephys/tpp123](http://doi.org/10.1093/treephys/tpp123)

Links:

• Browse image link
• Metadata link
• envidat-lwf-34

Temporal Extent:

Start: 2019-01-01T00:00:00.000Z

Spatial Extent:

Minimum Bounding Rectangle: 46.30279 7.61211 46.30279 7.61211

Point: 46.30279 7.61211

SCIOPS Short Name: envidat-lwf-34 Version ID: 2019-03-06 Unique ID: C1647993129-SCIOPS