Comparison of Three Sampling Methods for Estimating Grasshopper (Orthoptera, Acrididea) Assemblages in African Rainforests Article Swipe
Charly Oumarou Ngoute
,
Philène Corinne Aude Um Nyobe
,
Sévilor Kekeunou
,
Michel Lecoq
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1155/psyc/8857340
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1155/psyc/8857340
Grasshoppers are essential components of terrestrial ecosystems, playing major roles in biodiversity and ecological balance. Assessing grasshopper diversity in specific regions is crucial for understanding species coexistence, supporting sustainable agriculture, and informing conservation efforts. Reliable and standardized survey methods are fundamental to this field. Sweep net sampling is widely recognized as the fastest and most commonly used method globally. This study presents the comparative assessment of three sampling methods for estimating grasshopper assemblages in African rainforests: 30 min of random net sweeping, 1 m 2 open quadrat sampling, and pitfall trapping. These methods were evaluated across two distinct ecological zones, fallow land, and forest. Results show that net sampling is the most effective method for estimating grasshopper diversity in these environments. However, incorporating quadrat sampling and pitfall trapping enhances species diversity assessment. Net sweeping is particularly efficient for collecting winged species in short vegetation, while quadrat sampling and pitfall trapping are better suited for species dwelling in the undergrowth and forest litter. A combine approach incorporating multiple sampling methods provides a more comprehensive assessment of grasshopper diversity, overcoming the limitations of sweeping alone.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1155/psyc/8857340
- https://onlinelibrary.wiley.com/doi/pdfdirect/10.1155/psyc/8857340
- OA Status
- gold
- References
- 60
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4412632927
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https://openalex.org/W4412632927Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1155/psyc/8857340Digital Object Identifier
- Title
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Comparison of Three Sampling Methods for Estimating Grasshopper (Orthoptera, Acrididea) Assemblages in African RainforestsWork title
- Type
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articleOpenAlex work type
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enPrimary language
- Publication year
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2025Year of publication
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2025-01-01Full publication date if available
- Authors
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Charly Oumarou Ngoute, Philène Corinne Aude Um Nyobe, Sévilor Kekeunou, Michel LecoqList of authors in order
- Landing page
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https://doi.org/10.1155/psyc/8857340Publisher landing page
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1155/psyc/8857340Direct OA link when available
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Rainforest, Grasshopper, Orthoptera, Sampling (signal processing), Geography, Ecology, Biology, Computer science, Computer vision, Filter (signal processing)Top concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.roles | 9 |
| abstract_inverted_index.short | 142 |
| abstract_inverted_index.study | 60 |
| abstract_inverted_index.these | 119 |
| abstract_inverted_index.three | 66 |
| abstract_inverted_index.while | 144 |
| abstract_inverted_index.across | 95 |
| abstract_inverted_index.alone. | 182 |
| abstract_inverted_index.better | 151 |
| abstract_inverted_index.fallow | 100 |
| abstract_inverted_index.field. | 43 |
| abstract_inverted_index.forest | 160 |
| abstract_inverted_index.method | 57, 113 |
| abstract_inverted_index.random | 79 |
| abstract_inverted_index.suited | 152 |
| abstract_inverted_index.survey | 37 |
| abstract_inverted_index.widely | 48 |
| abstract_inverted_index.winged | 139 |
| abstract_inverted_index.zones, | 99 |
| abstract_inverted_index.African | 74 |
| abstract_inverted_index.Results | 104 |
| abstract_inverted_index.combine | 163 |
| abstract_inverted_index.crucial | 22 |
| abstract_inverted_index.fastest | 52 |
| abstract_inverted_index.forest. | 103 |
| abstract_inverted_index.litter. | 161 |
| abstract_inverted_index.methods | 38, 68, 92, 168 |
| abstract_inverted_index.pitfall | 89, 126, 148 |
| abstract_inverted_index.playing | 7 |
| abstract_inverted_index.quadrat | 86, 123, 145 |
| abstract_inverted_index.regions | 20 |
| abstract_inverted_index.species | 25, 129, 140, 154 |
| abstract_inverted_index.However, | 121 |
| abstract_inverted_index.Reliable | 34 |
| abstract_inverted_index.approach | 164 |
| abstract_inverted_index.balance. | 14 |
| abstract_inverted_index.commonly | 55 |
| abstract_inverted_index.distinct | 97 |
| abstract_inverted_index.dwelling | 155 |
| abstract_inverted_index.efforts. | 33 |
| abstract_inverted_index.enhances | 128 |
| abstract_inverted_index.multiple | 166 |
| abstract_inverted_index.presents | 61 |
| abstract_inverted_index.provides | 169 |
| abstract_inverted_index.sampling | 46, 67, 108, 124, 146, 167 |
| abstract_inverted_index.specific | 19 |
| abstract_inverted_index.sweeping | 133, 181 |
| abstract_inverted_index.trapping | 127, 149 |
| abstract_inverted_index.Assessing | 15 |
| abstract_inverted_index.diversity | 17, 117, 130 |
| abstract_inverted_index.effective | 112 |
| abstract_inverted_index.efficient | 136 |
| abstract_inverted_index.essential | 2 |
| abstract_inverted_index.evaluated | 94 |
| abstract_inverted_index.globally. | 58 |
| abstract_inverted_index.informing | 31 |
| abstract_inverted_index.sampling, | 87 |
| abstract_inverted_index.sweeping, | 81 |
| abstract_inverted_index.trapping. | 90 |
| abstract_inverted_index.assessment | 64, 173 |
| abstract_inverted_index.collecting | 138 |
| abstract_inverted_index.components | 3 |
| abstract_inverted_index.diversity, | 176 |
| abstract_inverted_index.ecological | 13, 98 |
| abstract_inverted_index.estimating | 70, 115 |
| abstract_inverted_index.overcoming | 177 |
| abstract_inverted_index.recognized | 49 |
| abstract_inverted_index.supporting | 27 |
| abstract_inverted_index.assemblages | 72 |
| abstract_inverted_index.assessment. | 131 |
| abstract_inverted_index.comparative | 63 |
| abstract_inverted_index.ecosystems, | 6 |
| abstract_inverted_index.fundamental | 40 |
| abstract_inverted_index.grasshopper | 16, 71, 116, 175 |
| abstract_inverted_index.limitations | 179 |
| abstract_inverted_index.sustainable | 28 |
| abstract_inverted_index.terrestrial | 5 |
| abstract_inverted_index.undergrowth | 158 |
| abstract_inverted_index.vegetation, | 143 |
| abstract_inverted_index.Grasshoppers | 0 |
| abstract_inverted_index.agriculture, | 29 |
| abstract_inverted_index.biodiversity | 11 |
| abstract_inverted_index.coexistence, | 26 |
| abstract_inverted_index.conservation | 32 |
| abstract_inverted_index.particularly | 135 |
| abstract_inverted_index.rainforests: | 75 |
| abstract_inverted_index.standardized | 36 |
| abstract_inverted_index.comprehensive | 172 |
| abstract_inverted_index.environments. | 120 |
| abstract_inverted_index.incorporating | 122, 165 |
| abstract_inverted_index.understanding | 24 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 4 |
| citation_normalized_percentile.value | 0.2942688 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |