Biophysical Settings: An Overview

Author

Randy Swaty, Kori Blankenship, Sarah Hagen

Note

For the most up-to-date information on each LANDFIRE data product, please view the individual product pages on the LANDFIRE Program website.

What you will find in this section

  • An overview of the Biophysical Settings concept

  • What Biophysical Settings products are available

  • Some reasons to use Biophysical Settings

  • How LANDFIRE Biophysical Settings products are connected

What does Biophysical Settings mean?

Biophysical Settings (BPS) are a foundational concept for LANDFIRE defined on the LANDFIRE Program website as:

“…a modeled representation of the vegetation system that may have been dominant on the landscape prior to Euro-American settlement and is based on both the current biophysical environment and an approximation of modeled past disturbance regimes.”

We like to think of the Biophysical Settings as ‘ecosystem habitats’, or ‘potential ecosystem footprints’. The BPS concept asks “where might an ecosystem occur” based on abiotic factors such as soils, surficial geology, slope and elevation as well as natural disturbance regimes.

For more information on ecological systems in LANDFIRE, see the LANDFIRE Vegetation Products Overview section of this website.

What are the BPS products?

LANDFIRE’s BPS product suite includes the BpS models and descriptions and the BpS spatial data. There are several related products derived from the core BPS products including: fire regimes, reference conditions, succession class, and vegetation departure. In addition, the BPS spatial data are sometimes used in rulesets to help map fire behavior fuel models.

The original development of LANDFIRE’s BPS data occurred through a series of expert workshops conducted between 2004 and 2009. These workshops brought together ecologists, land managers, and fire experts to collaboratively define reference vegetation conditions and ecological dynamics for each BPS. The resulting models and descriptions were later refined through a comprehensive BPS Review, which incorporated feedback from a broad community of practitioners and scientists to improve consistency and ecological accuracy. Additional details and access to the reviewed models and documentation can be found on the LANDFIRE Review website and the LANDFIRE Vegetation Modeling website.

Timeline from 2002 to 2020 showing the evolution of Biophysical Settings products. Below the timeline, boxes outline the changes in the Wyoming Big Sagebrush Semi-Desert BpS, indicating a name change, a description expansion and refining, and finally succession class rules being updated and new disturbance transitions being introduced.

LANDFIRE developed and refined the Biophysical Settings products over time, beginning with a small subset in 2002, then moving to modeling the entire country over the course of several years. Most recently, LANDFIRE reviewed and updated the Biophysical Settings products between 2015 and 2020, using new information. This figure provides a visual representation of the process and examples of how one Biophysical Setting changed through time. From Blankenship et al, 2021

An overview of the Biophysical Settings Product suite

The BPS product suite includes several core components that work together to describe and model the natural vegetation potential of landscapes. These products provide both spatial and conceptual tools for understanding how ecosystems functioned under historical disturbance regimes and how they might respond to future changes. Below is a brief overview of the primary BpS products. You can learn more about each of these products on the following pages of this website—just click on the product name (in bold) below to jump to its dedicated section.

BPS Spatial Data This 30m pixel raster dataset represents the potential natural vegetation types that likely existed prior to significant Euro-American influence. It serves as a spatial foundation for modeling ecological processes and is used in a wide range of applications, from fire behavior modeling to habitat assessment.

BPS Descriptions These narrative documents provide detailed ecological context for each BPS, including dominant vegetation, disturbance regimes, and successional dynamics. They support interpretation of the spatial data and models and are developed with input from regional experts.

BPS Models These are quantitative state-and-transition models that simulate how vegetation changes over time in response to natural disturbances and succession. Built using the SyncroSim platform, they form the basis for estimating reference conditions and understanding long-term ecological dynamics.

Tip

For more information on how to leverage the power of LANDFIRE’s BPS models, visit the LANDFIRE Vegetation Modeling website.

Reference Conditions Table This table summarizes the expected proportions of different vegetation classes under historical, pre-settlement conditions for each BpS. It is derived from the state-and-transition models and is used to assess how current landscapes differ from their natural range of variability.

Why use BpS in a current analysis?

The spatial data, state and transition models and descriptions that comprise LANDFIRE’s BPS product suite offer a dynamic perspective on ecosystem ecology and set the stage for understanding current, and potential future ecosystem trajectories.

Three quick reasons to use BPS:

  1. BPS represent historic patterns and functions, however when used with Succession class data, current vegetation patterns can be explored. (Resource: Swaty et al., 2021)

  2. Coupled with local knowledge, BPS descriptions and models can augment current vegetation information to understand a landscape’s potential. (Resource: Provencher. et al., 2021 - downloads a pdf)

  3. BPS models can be modified to represent current and future scenarios given predicted changes possible under future climate scenarios. (Resource: LANDFIRE Vegetation Modeling website).

For more, watch this quick guide on Biophysical Settings on YouTube (4-minute video).

Comparing BPS with other similar concepts

There are other ecological concepts that are worth contrasting the BPS concept, including potential natural vegetation and pre-colonization vegetation. We discuss a few of them below.

Potential Natural Vegetation

PNV refers to the type of vegetation that would naturally grow in a specific area, based on the local climate.

  • PNVs examine vegetation that might exist without any human intervention. Various definitions deal with natural disturbances differently (i.e. ignoring or including impacts). The BPS concept explicitly includes natural disturbances, such as fire, drought, and insects, prior to European colonization.

  • PNVs are typically static, meaning they represent one state which is often the climax state. BPS almost always includes multiple states representing a dynamic system.

Pre-colonization vegetation

These datasets rely on historical accounts, early land surveys and other methods such as sediment analysis to map ecosystems at a certain point in time. For example, land survey driven ecosystem maps often represent conditions as of ~ 1830s.

The BPSs differ in that they:

  • do not represent a specific point in time, rather the pre-European condition generally, and

  • are systems with multiple classes.

Environmental Site Potential

Environmental Site Potential (ESP) was created by LANDFIRE as a precursor to BPS data to represent the vegetation that could be supported at a given site based on the biophysical environment.

Adding in the impact of natural disturbances is how an ESP becomes a BPS. For example, in the Pacific Northwest, sites that support grand fir and white fir could be classified as a Mesic Mixed Conifer ESP, but when historically frequent fire regimes are considered, these same areas are likely to be classified as Dry-Mesic Mixed Conifer BPS.

How does BPS flow through the product suite?

Tip

Understanding the Bigger Picture

Biophysical Settings products are applied in many different contexts across LANDFIRE, including fire behavior modeling, ecological assessments, and conservation planning. Because these products are deeply interconnected, understanding one often requires familiarity with the others. We encourage you to explore this entire section to get a full picture of how BpS products work together to support landscape-scale analysis and decision-making.

The process of integrating BPS into our product suite begins with the development of BPS Models and Descriptions. These models provide a foundational understanding of the ecological characteristics and the disturbance dynamics of different vegetation systems. They are used to estimate historical fire frequency and severity.

From these models, we generate Succession Class mapping rules and establish Reference Conditions (downloads a 19KB zip file) that represent the Historical Range of Variability. These reference conditions are crucial for understanding the natural variability and resilience of ecosystems.

Next, we create BPS Spatial Data, which maps the distribution of these biophysical settings across the estimated pre-European colonization landscape. Linking the BPS map to the modeled estimate of fire frequency and severity allows LANDFIRE to map historical fire regimes.

The integration of BPS spatial data, modeled BpS reference conditions, Succession Class, and existing vegetation information leads to the development of Vegetation Departure and Vegetation Condition Class metrics. These metrics help assess the current state of vegetation compared to historical conditions, providing insights into ecological health and management needs.

Additionally, the BPS spatial data contribute to the creation of the Fire Behavior and Fuels Modeling (FBFM) Ruleset.

LANDFIRE BPS Related Datasets: BPS Descriptions Documents, BPS Descriptions Access Database, Historical Fire Regime Spatial Data, BPS Spatial Data, Vegetation Departure Spatial Data, Reference Condition Table, ST-Sim Reference Condition Models, Succession Class Mapping Rules. BPS code is the link.

LANDFIRE Biophysical Settings Related Datasets

The BPS Code serves as a crucial link connecting the various datasets within the LANDFIRE BPS framework. This interconnected framework ensures that all aspects of BPS are comprehensively analyzed and utilized, supporting effective ecological management and planning.

Visit our LANDFIRE Vegetation Modeling website to learn more about the entire BPS process, including examples and BPS modification examples.

A note about map zones

Map zones are used in LANDFIRE to break up the landscape into geographic areas suitable for mapping, modeling, and delivering BPS products. BPS reference conditions represent the average condition for the extent of a BPS across an entire map zone.

Helpful Resources

Still have questions? LANDFIRE is here to help.