Landler Rulebook
  • Overview
  • Glossary
  • Section (a) The Platform
    • Section (a.1) Upload Plot Data for identification
    • Section (a.2) Verification of identity
    • Section (a.3) Proof of Land Stewardship
    • Section (a.4) Sponsorship
    • Section (a.5) Data Protection Information
  • Section (b) The measurement of land characteristics
    • Section (b.1) Dimensions, Indicators and Models Dimensions
    • Section (b.2) Data Sources
    • Section (b.3) Modelling
    • Dimension: Carbon
      • Indicator: Soil Carbon Stock
      • Indicator: Soil Carbon Potential
      • Indicator: Greenhouse Gas Emissions
    • Dimension: Water
      • Indicator: Soil Moisture
      • Indicator: Water Holding Capacity
      • Indicator: Water Holding Capacity Potential
    • Dimension: Biodiversity
      • Indicator: Protected On-Farm Habitat
      • Indicator: Deforestation
      • Indicator: Ecological Integrity
      • Indicator: Habitat Intactness
      • Indicator: Indicator Species Presence
  • Section (c) - Natural Capital Accounting
    • Section (c.1) Natural Capital Account
    • Section (c.2) Locking and Activation of a Natural Capital Account
    • Section (c.3) Natural Capital Units
    • Section (c.4) Natural Capital Units Attributes
  • Section (d) - Nature Equity Assets
  • Section (e) - Nature Equity Accounts and Settlement Services
    • Section (e.1) Nature Equity Account
    • Section (e.2) Settlement Services
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  1. Section (b) The measurement of land characteristics
  2. Dimension: Water

Indicator: Water Holding Capacity Potential

Indicator

Water Holding Capacity Potential

Status

Automated on Landler

Land covers

Cropland, Forestry, Grassland, Peatland, Savannahs

Description

Plot-level forecast of future water holding capacity under different land management scenarios (e.g., reduced or no-till, increased carbon input). This forecast runs for 20 years and is related to the below ground carbon potential indicator.

Unit

m³ (total and per hectare)

Temporal Resolution

Projection into the future

Spatial Resolution

100m

Data

Satellite data (SMAP, SMOS, Landsat, MODIS, Sentinel 2); ISRIC SoilGrids v2.

Method

Future projections of Water Holding Capacity are generated using a conversion via a pedotransfer function, which utilizes soil organic carbon forecasts derived from various land-use scenarios. This function incorporates updated soil organic carbon potential and soil texture data extracted from the ISRIC SoilGrids v2 dataset. The projections are expressed in the same units as the Water Holding Capacity estimates. This approach facilitates the conversion of soil organic carbon predictions into Water Holding Capacity estimates, primarily aimed at enhancing future projections.

Benchmarking

Benchmarks for water-holding capacity (WHC) are based on predicted soil texture (sand and clay fractions) from the SoilGrids v2 dataset. Using a pedotransfer function (Saxton & Rawls, 2006), WHC is estimated across a range of possible soil organic carbon concentrations. From the resulting distribution, the low benchmark is set at the minimum WHC value, the high benchmark at the maximum, and the middle benchmark at the median WHC value for the soil type predicted on the plot.

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Last updated 2 months ago