The colors of heath flowering – quantifying spatial patterns of phenology in Calluna life‐cycle phases using high‐resolution drone imagery

Abstract

Recent developments in high‐resolution ecosystem mapping using unmanned aerial vehicles (UAV) open up promising perspectives for the monitoring of fine‐scale vegetation patterns and ecological functioning. In this study, we examine the potential of UAV imagery to track the structural composition and related phenological traits of the dwarf shrub Calluna vulgaris on a former military training area. On a European Natura 2000 heathland site, habitat management is shown to be evaluated on the basis of flowering dynamics and reproductive recovery as a proxy of functional changes that are generated after fire destruction. In particular, we utilize true color camera information and digital surface models to determine the spatiotemporal evolution of Calluna life‐cycle phases and flowering phenology 2 years after controlled burning. A stepwise methodological framework is presented that extracts Calluna pixels, spatially separates juvenile and mature life‐cycle phases, differentiates between generative and vegetative shoot extension and finally quantifies proportions of flowers, fruits and vegetative growth in two consecutive peak flowering periods. We show that Calluna life‐cycle phases can be spatially differentiated in pioneer, building and mature phases in UAV imagery. In the juvenile phase, regeneration from germination is low (<10%) and sprouting from the stem base dominates recovery patterns after fire management. The study further reveals that the distribution of flowering and fruiting during peak flowering time is spatially heterogeneous with high variations between years. In the fire unaffected mature phase, proportions of flowers and fruits are reduced indicating a decrease in reproductive capacity of unmanaged Calluna stands. A phenological phase shift is detected from flowering to fruiting that is related to an increase of Calluna growth height. The study shows that the functional patterns of growth and reproduction can be mapped for heathland ecosystems using simple true color drone cameras.

Recent advances in the remote sensing of insects

“…In some instances, it is even possible to identify the species and/or growth forms of individual plants, for instance, providing opportunities to quantify the floral resources available to pollinators. Drone‐captured RGB/multispectral data, for example, have been used to measure floral abundance within hedgerows (Smigaj & Gaulton, 2021) and to quantify the proportion of flowers, fruits and vegetative growth on individual heather plants ( Calluna vulgaris ) within heathland (Neumann et al ., 2020). Coupled with the high temporal resolution that drones can offer, there is exciting potential for the seasonal tracking of floral resources across time and space (Galbraith et al ., 2015).…”

Monitoring spring phenology of individual tree crowns using drone‐acquired NDVI data

“…SI1). Mapping of flowering phenology has also been achieved using drone-acquired RGB imagery (Neumann et al, 2020) and further comparisons are required to identify which spectral bands can yield the best indicators.…”

Flower Mapping in Grasslands With Drones and Deep Learning

“…These include invasive species mapping (Hill et al, 2017 ; Müllerová et al, 2017 ; de S et al, 2018 ; Martin et al, 2018 ; Kattenborn et al, 2019 ), wildlife assessment (Andrew and Shephard, 2017 ; Rey et al, 2017 ; Hollings et al, 2018 ; Christiansen et al, 2019 ; Eikelboom et al, 2019 ), and plant biodiversity estimation (Getzin et al, 2012 ), including object-based species classification (Lu and He, 2017 ). Moreover, UAVs have been used to track spatial patterns in phenology (Neumann et al, 2020 ) and flowering of invasive species (de S et al, 2018 ).…”