Emerging vistas of Remote Sensing Tools in Pollination Studies

Krishnasamy, Venkateswaran; Sundaraguru, Ramakrishnan; Amala, U.

doi:10.13102/sociobiology.v66i3.4266

Cited by 5 publications

(7 citation statements)

References 55 publications

(51 reference statements)

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“…Recent works continue to fill research gaps in equipment [ 96 , 97 , 98 ], reflectivity, and insects’ geometrical characteristics [ 99 , 100 , 101 , 102 ]. As shown earlier, radar applications focus on either biodiversity/conservation [ 103 , 104 , 105 , 106 , 107 ] or agriculture (economically important insects [ 108 , 109 , 110 ] and pest management [ 21 , 111 , 112 , 113 , 114 , 115 , 116 ]).…”

Section: Insect Radarmentioning

confidence: 99%

A Review of Insect Monitoring Approaches with Special Reference to Radar Techniques

Noskov

Bendix

Frieß

2021

Sensors

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Drastic declines in insect populations are a vital concern worldwide. Despite widespread insect monitoring, the significant gaps in the literature must be addressed. Future monitoring techniques must be systematic and global. Advanced technologies and computer solutions are needed. We provide here a review of relevant works to show the high potential for solving the aforementioned problems. Major historical and modern methods of insect monitoring are considered. All major radar solutions are carefully reviewed. Insect monitoring with radar is a well established technique, but it is still a fast-growing topic. The paper provides an updated classification of insect radar sets. Three main groups of insect radar solutions are distinguished: scanning, vertical-looking, and harmonic. Pulsed radar sets are utilized for all three groups, while frequency-modulated continuous-wave (FMCW) systems are applied only for vertical-looking and harmonic insect radar solutions. This work proves the high potential of radar entomology based on the growing research interest, along with the emerging novel setups, compact devices, and data processing approaches. The review exposes promising insect monitoring solutions using compact radar instruments. The proposed compact and resource-effective setups can be very beneficial for systematic insect monitoring.

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Section: Insect Radarmentioning

confidence: 99%

A Review of Insect Monitoring Approaches with Special Reference to Radar Techniques

Noskov

Bendix

Frieß

2021

Sensors

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“…For example, tree density could be used to estimate the nesting suitability of pollinators like mason bees ( Osmia spp.) (Krishnasamy et al, 2019), which favor woody substrates for nesting.…”

Section: Discussionmentioning

confidence: 99%

“…Historically, these advantages have been almost exclusively used in pollination studies to assess habitat composition in set perimeters (Willcox et al, 2018). However, RSD have the potential to contribute further to the study of pollinators, for example, by enabling the analysis of spatiotemporal landscape changes affecting pollinators or by assisting the mapping of floral (e.g., flower phenology and abundance) and nesting (e.g., tree density or soil physiographic factors) resources (Krishnasamy et al, 2019). These contributions represent a novel opportunity to improve our understanding of pollinators and their delivery of pollination services (Willcox et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Linking remote sensing data to the estimation of pollination services in agroecosystems

Ariza

Meeus

Eeraerts

et al. 2022

Ecological Applications

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Wild bees are key providers of pollination services in agroecosystems.The abundance of these pollinators and the ecosystem services they provide rely on supporting resources in the landscape. Spatially explicit models that quantify wild bee abundance and pollination services in food crops are built on the foundations of foraging and nesting resources. This dependence limits model implementation as land-cover maps and pollination experts capable of evaluating habitat resource quality are scarce. This study presents a novel approach to assessing crop pollination services using remote sensing data (RSD) as an alternative to the more conventional use of land-cover data and local expertise on spatially explicit models. We used landscape characteristics derived from remote sensors to qualify nesting resources in the landscape and to evaluate the delivery of pollination services by mining bees (Andrena spp.) in 30 fruit orchards located in the Flemish region of Belgium. For this study, we selected mining bees for their importance as local pollinators and underground nesting behavior. We compared the estimated pollination services derived from RSD with those derived from the conventional qualification of nesting resources. We did not observe significant differences (p = 0.68) in the variation in mining bee activity predicted by the two spatial models. Estimated pollination services derived from RSD and conventional characterizations explained 69% and 72% of the total variation, respectively. These results confirmed that RSD can deliver nesting suitability characterizations sufficient for estimating pollination services. This research also illustrates the importance of nesting resources and landscape characteristics when estimating pollination services delivered by insects like mining bees. Our results support the development of holistic agroenvironmental policies that rely on modern tools like remote sensors and promote pollinators by considering nesting resources.

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“…capturing changes in the spectral signatures or structural traits of vegetation (at different grains, depending on the sensor and platform used) so that their physiological, biochemical and spatial properties can be analyzed. When using remote sensing to characterize flowering vegetation, researchers have obtained can information in the form of multispectral images, reflectance spectra, or point cloud data (Willcox et al, 2018;Krishnasamy et al, 2019). Traditional field techniques involving manual floral counts using quadrats or transects are often laborious, time-consuming and only measure floral features detectable or predefined by the observers' eyes Furthermore, in an analysis of methodologies employed by 159 studies, Szigeti et al (2016) found that ecologists use a wide range of manual sampling methods but those are often not reported in sufficient detail, leading to a lack of standardization of sampling methods within the field.…”

Section: Spatial Resolution (M)mentioning

confidence: 99%

“…Important platforms for use in field studies are consumergrade fixed-wing and rotor-based drones (take-off weight totals less than 30 kg; Anderson and Gaston, 2013;Krishnasamy et al, 2019;Rominger et al, 2021). They are typically also equipped with GPS so that the captured images can be georeferenced.…”

Section: Structure From Motion (Sfm) Photogrammetrymentioning

confidence: 99%

Remote Sensing of Floral Resources for Pollinators – New Horizons From Satellites to Drones

2022

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Insect pollinators are affected by the spatio-temporal distribution of floral resources, which are dynamic across time and space, and also influenced heavily by anthropogenic activities. There is a need for spatial data describing the time-varying spatial distribution of flowers, which can be used within behavioral and ecological studies. However, this information is challenging to obtain. Traditional field techniques for mapping flowers are often laborious and limited to relatively small areas, making it difficult to assess how floral resources are perceived by pollinators to guide their behaviors. Conversely, remote sensing of plant traits is a relatively mature technique now, and such technologies have delivered valuable data for identifying and measuring non-floral dynamics in plant systems, particularly leaves, stems and woody biomass in a wide range of ecosystems from local to global scales. However, monitoring the spatial and temporal dynamics of plant floral resources has been notably scarce in remote sensing studies. Recently, lightweight drone technology has been adopted by the ecological community, offering a capability for flexible deployment in the field, and delivery of centimetric resolution data, providing a clear opportunity for capturing fine-grained information on floral resources at key times of the flowering season. In this review, we answer three key questions of relevance to pollination science – can remote sensing deliver information on (a) how isolated are floral resources? (b) What resources are available within a flower patch? And (c) how do floral patches change over time? We explain how such information has potential to deepen ecological understanding of the distribution of floral resources that feed pollinators and the parameters that determine their navigational and foraging choices based on the sensory information they extract at different spatial scales. We provide examples of how such data can be used to generate new insights into pollinator behaviors in distinct landscape types and their resilience to environmental change.

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Emerging vistas of Remote Sensing Tools in Pollination Studies

Cited by 5 publications

References 55 publications

A Review of Insect Monitoring Approaches with Special Reference to Radar Techniques

A Review of Insect Monitoring Approaches with Special Reference to Radar Techniques

Linking remote sensing data to the estimation of pollination services in agroecosystems

Remote Sensing of Floral Resources for Pollinators – New Horizons From Satellites to Drones

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