Extreme_Droughtness (FeatureServer)

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Service Description: Extreme droughtness layer that classifies territories according to driest month precipitation based on WorldClim climate data.

Service ItemId: 3635ea618ee444bbb2f6f888b4e95869

Has Versioned Data: false

Max Record Count: 2000

Supported query Formats: JSON

Supports applyEdits with GlobalIds: False

Supports Shared Templates: True

All Layers and Tables

Layers:

AMZ_CLIPRECDRYMTH_CLIP (1)

Description:

Extreme Droughtness Layer

The Extreme Droughtness Layer presents a spatial classification of aridity conditions based on driest month precipitation, using high-resolution global climate data to identify water availability gradients ranging from extremely arid conditions to hyper-humid regions.

Data source & methodology

Data originates from WorldClim version 2.1, a global climate database that provides high spatial resolution climate surfaces (~1 km) for global land areas. Processing is based on:

Primary source: WorldClim 2.1 (Fick & Hijmans, 2017)
Baseline period: Averages for the years 1970-2000
Spatial resolution: Available from 30 arc-seconds (~1 km) to 10 minutes (~340 km²)
Base variable: BIO14 - Precipitation of driest month (bioclimatic variables)
Methodology: Derived from monthly temperature and rainfall values to generate biologically meaningful variables
Format: Raster data in standard GeoTiff format

Applications & benefits

Species distribution modeling and related ecological modeling techniques
Aridity condition assessment for agricultural planning and conservation
Water availability analysis and precipitation deficit for vegetative growth
Identification of zones vulnerable to extreme droughts
Water resource planning across different climate regimes
Monitoring of annual climate trends and seasonality

Specific content of the layer

The layer classifies territories into five categories based on driest month precipitation:

Aridity categories:

Very dry (0-10 mm): The driest month shows almost no rainfall, reflecting extremely arid conditions
Dry (10-300 mm): The driest month receives low to moderate rainfall, clearly drier than humid tropical regimes
Sub-humid (300-800 mm): The driest month still records substantial rainfall, typical of humid climates with strong seasonality
Humid (800-1500 mm): The driest month remains rainy, with totals comparable to the annual rainfall of semi-arid zones
Very humid (1500-3000 mm): Even in the driest month, rainfall is very high, characteristic of hyper-humid regions

Technical details

Bioclimatic variable: BIO14 (Precipitation of driest month)
Coding scheme: Follows ANUCLIM system
Geographic coverage: Global for terrestrial areas
Validation: Based on 1970-2000 historical meteorological data
Processing: Generated using 'biovars' function from R package dismo
Accuracy: High spatial resolution with calibration and bias correction

References & access links

Primary dataset: Fick, S.E. and R.J. Hijmans, 2017. WorldClim 2: new 1km spatial resolution climate surfaces for global land areas. International Journal of Climatology 37 (12): 4302-4315
Access URL: https://www.worldclim.org/data/worldclim21.html
Additional documentation: https://biogeografia.net/bioclima03b.html
Funding: WorldClim v2 development supported by Feed the Future grant to the Geospatial and Farming Systems Consortium of the Sustainable Intensification Innovation Lab
Data format: Downloadable GeoTiff (.tif) files as zip archives

Copyright Text: Original Compilation AmazoniaForever360+, Inter-American Development Bank, 2023-2025. Based on WorldClim v2.1

Spatial Reference: 4326 (4326)

Initial Extent:

Full Extent:

Units: esriDecimalDegrees

Child Resources: Info SharedTemplates

Supported Operations: Query ConvertFormat Get Estimates