2026 Merit Award

Analysis, Planning, Research and Communications

Saint-Gobain NorPro: A Climate + Biodiversity Positive Campus

Wheatfield, NY

Landscape Architect:

IMPACT Studio

Project Team:
  • Saint-Gobain NorPro
  • GEI Consultants, Inc.
  • Topophyla
Saint-Gobain_IMPACT

Photo Credit(s):

Images 1, 6: Impact Studio / Topophyla
Images 2-4: ESRI / USGS / Impact Studio
Image 5: Multiple Sources / Impact Studio
Images 7-14: Impact Studio

About the Project:

Shaped by exposure, scarcity, and seasonal extremes, alvar landscapes offer a model of resilience. Drawing from these ecosystems is a data-driven framework to reimagine a 50-acre industrial campus as adaptive infrastructure supporting ceramic manufacturing. Climate, ecological, and material analyses informed depaving, hydrologic reconnection, habitat restoration, and reuse. These strategies improve resilience, reduce carbon, protect biodiversity, and maintain economic viability. By aligning operations, heritage, and public access, the project establishes a nature-based approach to industrial adaptation.

Special Factors & Additional Information:

Wheatfield is a small town shaped by mid-20th-century manufacturing and aerospace production. Located between Niagara Falls and Buffalo, it reflects a broader American condition: communities built on industry now facing economic disparity and climate risk. With household income 38% below the U.S. median, Wheatfield underscores the need for investment models that deliver environmental performance, workforce opportunity, and long-term resilience.

Climate projections informed the planning framework. Hotter summers, wetter winters, increased storm intensity, and groundwater stress are expected by mid-century. Clay-heavy soils limit infiltration, contributing to flooding and prompting new stormwater standards. Native ecosystems face pressure as species migrate northward.

Local workshops identified priorities for outdoor spaces and access to nature. Scenarios were evaluated for economic viability, carbon reduction, biodiversity, and social benefit. The selected option delivers the strongest combined value.

The existing site is an underused industrial campus. Vegetation sprouts through pavement cracks, colonizing poorly drained areas as wetlands and meadows. Inspired by regional alvar ecosystems, Alvarscape reimagines industrial adaptation as landscape infrastructure. Environmental analysis guided preservation priorities and species selection. Climate data, hydrologic modeling, and an existing material inventory supported circular, low-carbon decision-making.

The campus framework applies scalable, nature-based strategies. Circulation is improved for safety and experience. Targeted pavement removal reconnects stormwater through swales planted as native wetlands that slow runoff and provide habitat. Biodiversity is enhanced by preserving ecological value and restoring plant communities, including milkweed meadows supporting monarch butterflies.

Material reuse is central to performance. Existing structures, concrete, asphalt, and site materials are repurposed to minimize waste and reduce embodied carbon. Lightweight expanded clay aggregates support infiltration and resilient planting systems. Shade trees, reduced paving, and climate-adaptive species respond to projected conditions.

Community culture and equity are embedded through adaptive reuse of historic structures, conversion of a legacy rail line into a trail, and creation of shared spaces welcoming employees and the public. These strategies reinforce local identity, jobs, and improve health and wellness.

Performance modeling using Pathfinder demonstrates outcomes exceeding ASLA and IFLA climate commitments, including emissions reductions, increased carbon sequestration, biodiversity gains, and water savings. Supported by state and local economic development funding, the project is phased for implementation. The Alvarscape framework establishes a replicable model for transforming industrial campuses into climate-adaptive, biodiverse, and socially productive landscapes.

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