Evergreen Exhibition 2026 Botanical Art and Science at University of Auckland

The Evolution of Botanical Data Capture

The intersection of biological science and visual documentation has historically relied on the available precision of the era’s hardware. Long before the advent of high-resolution digital imaging and LiDAR scanning, the preservation of botanical knowledge depended on the tactile accuracy of hand-drawn illustrations and physical anatomical models.

The upcoming exhibition, Evergreen: the art and science of plants, highlights this trajectory by examining botanical study at Waipapa Taumata Rau | University of Auckland and situating it within wider global shifts in how plant life is recorded, compared and governed. It serves as a retrospective on how the tools of analysis have evolved to help humans depict and understand the complex structures of the natural world, while also shaping the evidence base used in conservation policy and environmental decision-making.

Physical Prototyping and the Brendel Models

A central component of this history is the use of three-dimensional physical models to simulate biological systems for teaching, research and early forms of quality control in taxonomy. The exhibition showcases the Brendel Models, a sophisticated set of anatomical plant models acquired in 1900 by Professor Sir Algernon Thomas for the University’s then Department of Biology. These models represent an early form of scientific visualization, allowing students and researchers to interact with complex plant anatomy in a way that two-dimensional sketches could not support, and helping standardise how particular species and structures were interpreted.

Constructed by R. Brendel & Co in Germany, these artifacts utilized a specific material stack to ensure durability and visual fidelity:

• Core framework: Wire and wood for structural integrity and classroom handling.
• Surface finish: Hand-painted detailing for botanical accuracy and consistency across teaching collections.
• Optical elements: Glass components to simulate translucent plant tissues and reveal otherwise hidden anatomical features.

In the exhibition, the Brendel Models sit alongside historical lecture notes, photographs and contemporary teaching tools, making clear how university collections act as working infrastructure for training botanists, environmental managers and future regulators.

From Analog Artifacts to Digital Twins

The shift from the Brendel Models and the botanical drawings of Olive May Tonkin to modern biodiversity informatics marks a fundamental change in how scientific data is stored, accessed and used in public decision-making. While 20th-century tools focused on the physical representation of a single specimen, contemporary botany leverages global databases and algorithmic analysis to track species migration, invasive spread and genetic drift in real time, often feeding directly into environmental risk assessment and land-use planning.

The transition in botanical documentation technology can be broadly traced through the following milestones:

This evolution is not purely technical. As governments and institutions commit to national biodiversity strategies and climate adaptation plans, the way plant data is captured and standardised increasingly determines which ecosystems are seen, prioritised and ultimately protected.

Governance of Natural Data

The archival materials presented in Evergreen underscore the importance of maintaining a verifiable historical record. In the modern era, this has evolved into a matter of regulatory and environmental governance. The digitization of herbarium collections is no longer just an academic exercise but a critical infrastructure requirement for monitoring global biodiversity loss and enforcing international conservation treaties anchored in frameworks such as the Convention on Biological Diversity.

Exhibition material traces how university-held plant records now intersect with national reporting obligations, protected-area designations and indigenous stewardship initiatives. When historical specimens are digitised and georeferenced, they can be integrated into national datasets that underpin environmental impact assessments, biosecurity screening and long-term monitoring of threatened species.

By juxtaposing technical tools with artistic renderings, the exhibition highlights the “bridge” between subjective observation and objective analysis-a tension that persists today as AI begins to automate species identification and ecological mapping. Curators point to this as a live policy question: how to harness automated classification and large-scale modelling without losing the local expertise, community observation and cultural context that have always underpinned responsible plant governance.