Data is the real visual. Here's what we measure.
Each installation generates time-stamped, geolocated, and traceable metrics. Scientifically validated, these metrics align with your reporting frameworks.
7 KPIs per site
Coverage of Sites Under Continuous Monitoring
Percentage of equipped sites whose data is automatically uploaded to the app, time-stamped, and usable for reporting.
A protocol developed in collaboration with Biotope Environnement
The decline of pollinating insects has been well documented, but the actual effectiveness of biodiversity infrastructure remains a subject of debate in the scientific literature. Biotope Environnement and BetterflyBox have therefore developed a standardized, robust, and reproducible protocol to measure, rather than merely assume the impact of each installation, including in highly constrained urban and peri-urban settings.
Scientific Objective
Assess the actual impact of installing biodiversity infrastructure on local biodiversity in urban, peri-urban, industrial, and peri-industrial areas.
Operational Objective
Develop quantifiable, auditable, and comparable metrics that can be used within the CSRD and ESRS frameworks to guide an ESG strategy and demonstrate regulatory compliance.
The BACI standard, with a mandatory test site
The protocol follows in the tradition of research« Before-After-Control-Impact » (BACI), the methodological framework for evaluating a biodiversity intervention. It combines biological indicators (species, abundance, functional guilds) and environmental indicators (habitat, connectivity, disturbances) over a minimum of 3 to 5 consecutive years, A control site—without infrastructure—or a reference scenario is systematically required: without it, no causal inferences are possible, and no actual impact can be demonstrated.
Four hypotheses are tested at each site: an increase in insect diversity (pollinators, beneficial insects, and native species), an increase in individual abundance, changes in community structure, and improvements in habitat characteristics.
Four interlocking zones, from the birdhouse to the landscape
Spatial sampling is organized into concentric circles around each infrastructure, each with its own data collection protocol.
The Birdhouse
Direct observation of nest occupancy, identification of breeding taxa, and assessment of the condition of nesting materials. This is the most immediate measure of the direct effect.
Instant Shopping
Pan traps, pollination transects, and floristic quadrats. This pattern is consistent with the behavior observed in Halictus, Osmia and Megachile.
Local environmental impact
Microhabitats, food plants, vegetation structure, soil samples, and the daily foraging range of most solitary bees.
Landscape level
Ecological connectivity, land use, and habitat fragmentation, analyzed using GIS and remote sensing.
12 SMART, biological, and environmental indicators
Each indicator is defined using the SMART method (specific, measurable, achievable, relevant, time-bound) and is supported by scientific literature. The list is tailored to the context of each site and the client’s reporting objectives.
Biological indicators: species and communities
Percentage of cells colonized by taxon, measured through direct observation and standardized photography at each field session over the course of all three years. A direct, proximal indicator of infrastructure use. Protocol: visual inspection of each cell using a standardized coding grid (empty / partially capped / closed / occupied by a predator or parasitoid).
Number of insect species captured and identified per session, in Zones 2 and 3, over a minimum of three sessions per year. Protocol: entomological nets along transects, yellow/blue/white pan traps, a Malaise trap in Zone 3, and morphological identification confirmed by eDNA/metabarcoding (COI) for difficult taxa.
Number of individuals per species and per trap (24 hours for pan traps, 4 hours for net sampling), per zone and per session. This indicator distinguishes effects on species richness from effects on population density, which are two functionally distinct responses according to the scientific literature.
Functional richness (FRic), community-weighted mean trait (CWM), and functional divergence (FDiv) indices, calculated based on pollination-related traits (body size, tongue length, floral specialization, and nesting type). These indices capture dimensions of impact that taxonomic richness alone does not reflect.
Number of visits by pollinating insects per flowering plant species, per flower, and per hour of observation, measured along standardized 50 m transects in Zone 2. This ecosystem service indicator is directly linked to the presence of pollinators and is measured under controlled weather conditions (temperature, wind, and no rainfall).
Date of the first and last observation of each species per year, and activity window in days, calculated from field survey sessions and bioacoustic data. This indicator makes it possible to detect phenological shifts from one year to another and serves as an indicator of adaptation to climate change.
Indicateurs environnementaux: habitat et continuité
Percentage cover and number of species of nectar- and pollen-producing plants, measured in permanent, georeferenced quadrats (10 per zone) during each session. The availability of floral resources is the primary determinant of local pollinator species richness.
Mean and coefficient of variation of the NDVI (Normalized Difference Vegetation Index) within a 50 m radius, calculated from drone or satellite imagery. A reliable and reproducible proxy for biomass and vegetation heterogeneity, which are themselves correlated with insect diversity.
Integral Index of Connectivity (IIC) and Probability of Connectivity (PC), calculated for Zone 4 (500 m radius) using a land-use map updated annually. Landscape connectivity influences the colonization and persistence of insect populations and is a standard measure in biodiversity impact assessments under EU frameworks.
Area of deadwood, bare soil, leaf litter, stones, standing water, and sandy banks within a 50 m radius, measured once a year through field surveys and photo interpretation. These microhabitats determine ground-nesting opportunities for species not hosted by the hotel but influenced by its presence.
Springtail density and species richness, as well as pH, organic matter, and moisture content, measured from soil cores once a year. Soil-dwelling insects are standardized indicators of soil quality (ISO 23611-2), which directly influences the nesting of ground-nesting bees.
Number and type of disturbance events (pesticide use, mowing, brush clearing, pruning, construction work) recorded in a standardized monthly log for each zone throughout the monitoring period. These disturbances are major covariates in impact analysis; failure to control for them is the main source of bias in studies without a standardized protocol.
A strictly synchronized data collection schedule
Year-to-year comparability of the data relies on strict synchronization of data collection windows. All biological monitoring sessions are conducted between 9 a.m. and 5 p.m. solar time, at temperatures above 15°C, with no rainfall and wind below Beaufort force 3.
Baseline
March, before installation (Year 1). Comprehensive baseline assessment: biological, soil, and GIS data.
Spring monitoring session
May 15 – June 15, each year. Emergence and early pollination.
Summer monitoring session
August 1 – September 15, each year. Peak activity and nesting.
Annual assessment
November, each year. GIS update, microhabitat assessment, and seasonal review.
Each T1 and T2 session includes: pollination transects, 48-hour pan trapping, botanical surveys, direct observation of the infrastructure, and deployment of acoustic recorders. Malaise traps remain in place continuously from T1 to T2, corresponding to 3 to 4 months of data collection.
Digital tools, citizen science, and open-source software
eDNA & metabarcoding
Environmental DNA (eDNA) analysis (COI) from a water or soil sample, or from a homogenized pool of insects: dozens of species can be identified simultaneously, without extensive morphological expertise.
iNaturalist & citizen science
Validated field observations submitted by citizen scientists complement the official monitoring sessions and can be exported via GBIF. They are used as supplementary data, never as primary data.
QGIS + Conefor
Landscape mapping and calculation of ecological connectivity indices (IIC/PC), carried out entirely using open-source software.
R + vegan package
Diversity indices (Shannon, Simpson, FRic, CWM), rarefaction, and multivariate analyses (RDA, NMDS), calculated using open-source software.
The regulatory frameworks covered
Rather than using a dense table, each framework is presented in a spacious card layout that is easy to read on both mobile and desktop.
Sustainability reporting
Time-stamped and traceable biodiversity data that can be integrated into your CSRD reporting and impact documentation.
Environmental criteria
Measurable contribution to the protection and restoration of biodiversity and ecosystems.
Building certification
The installations contribute to the Land Use & Ecology (LE) credits under the BREEAM certification.
EFRAG Mid-Cap Standard
Structuring biodiversity indicators for SMEs and portfolios not subject to CSRD.
Nature-related disclosure
On-site nature-related data aligned with the TNFD disclosure framework.
Investor reporting
Biodiversity impact indicators for product communications and investor reporting.
« The data are time-stamped, geolocated, and traceable. It is this traceability that distinguishes auditable data from a marketing claim. »
