Testing the efficiency of structured and unstructured surveys for detecting a small population of Jack in the Pulpit (<i>Arisaema triphyllum</i>) plants

Detecting inconspicuous species with low abundance is challenging, yet failure to detect these species can have important conservation implications. Few experimental studies have been conducted to assess how survey protocols affect plant species detectability. We tested the efficiency of structured (transect-based) and unstructured (unplanned search) surveys for the detection of a small, simulated population of Jack in the Pulpit ( Arisaema triphyllum) plants. We found no significant difference in the mean percentage of plants detected between survey types (27% structured, 31% unstructured, 95% CI = −0.23, Inf). However, unstructured surveys detected slightly more plants per unit time, while structured surveys covered a slightly larger portion of the study area. Participants located 33% of plants across all 18 surveys. The probability of finding all plants in a single survey was very low (7.59 × 10 –4 to 8.89%). To ensure a 95% probability of detection of at least one plant in our study, a minimum of two to four surveys would be required. These results suggest that for population estimation or presence/absence surveys, particularly for species of conservation concern with low abundance or invasive species at the early stages of invasion, a single survey might not be enough.

Authors

Institutions

Publication Details

Journal
Botany
Published
2025-01-01
DOI
https://doi.org/10.1139/cjb-2024-0137
Primary Topic
Rangeland and Wildlife Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Testing the efficiency of structured and unstructured surveys for detecting a small population of Jack in the Pulpit (Arisaema triphyllum) plants

Tyler Smith, Ana Hernández Martínez de la Riva, Paul A. Smith, Joe Bennett
Botany
Rangeland and Wildlife Management
article

Testing the efficiency of structured and unstructured surveys for detecting a small population of Jack in the Pulpit (Arisaema triphyllum) plants

Tyler Smith, Ana Hernández Martínez de la Riva, Paul A. Smith, Joe Bennett
article en

Abstract

Detecting inconspicuous species with low abundance is challenging, yet failure to detect these species can have important conservation implications. Few experimental studies have been conducted to assess how survey protocols affect plant species detectability. We tested the efficiency of structured (transect-based) and unstructured (unplanned search) surveys for the detection of a small, simulated population of Jack in the Pulpit ( Arisaema triphyllum) plants. We found no significant difference in the mean percentage of plants detected between survey types (27% structured, 31% unstructured, 95% CI = −0.23, Inf). However, unstructured surveys detected slightly more plants per unit time, while structured surveys covered a slightly larger portion of the study area. Participants located 33% of plants across all 18 surveys. The probability of finding all plants in a single survey was very low (7.59 × 10 –4 to 8.89%). To ensure a 95% probability of detection of at least one plant in our study, a minimum of two to four surveys would be required. These results suggest that for population estimation or presence/absence surveys, particularly for species of conservation concern with low abundance or invasive species at the early stages of invasion, a single survey might not be enough.

BotanyVol. 103
Agriculture and Agri-Food Canada (CA), Environment and Climate Change Canada (CA), Carleton University (CA)
Openalex Percentile: Top 82%
Rangeland and Wildlife Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Testing the efficiency of structured and unstructured surveys for detecting a small population of Jack in the Pulpit (<i>Arisaema triphyllum</i>) plants — Tyler Smith, Ana Hernández Martínez de la Riva, et al. · Botany (2025) | TGRS Research Map | TGRS