Gaps in butterfly inventory data: a global analysis

Marco Girardello, Anna Chapman, Roger Dennis, Lauri Kaila, Paulo Borges, Andrea Santangeli

Forskningsoutput: TidskriftsbidragArtikelVetenskapligPeer review

Sammanfattning

Species distribution data are crucial for assessing the conservation status of species (red listing, IUCN) and implementing international conservation targets, such as those set by the International Convention on Biological Diversity. Although there have been a number of efforts aimed at aggregating biodiversity data, information on the distribution of many taxa is still scanty (i.e. the Wallacean Shortfall). In this study, we use a large database, including over 19 million species occurrence records, to identify knowledge gaps in biodiversity inventories for butterfly records at a global level. Bayesian hierarchical spatial models were used to quantify the relationship between gaps in inventory completeness and the density of roads, protected areas and elevational range, the former variable being a proxy for accessibility, the latter two for attractiveness to recorders. Our results show that despite > 100 years of butterfly sampling, knowledge of the distribution of butterflies is still limited in tropical areas. The results revealed that gaps in butterfly inventories are largely concentrated in areas of low elevational range, low density of protected areas and low road density. We conclude that the Wallacean Shortfall is a problem even for one of the best studied insect groups. In the light of these data limitations, we discuss prospects for filling gaps in butterfly inventories at the global scale within relatively short time frames. We argue that a combination of citizen science and quantitative tools may help to fill knowledge gaps and inform conservation decisions.

Originalspråkengelska
TidskriftBiological Conservation
Volym236
Sidor (från-till)289-295
Antal sidor7
ISSN0006-3207
DOI
StatusPublicerad - aug 2019
MoE-publikationstypA1 Tidskriftsartikel-refererad

Vetenskapsgrenar

  • 1181 Ekologi, evolutionsbiologi

Citera det här

Girardello, Marco ; Chapman, Anna ; Dennis, Roger ; Kaila, Lauri ; Borges, Paulo ; Santangeli, Andrea. / Gaps in butterfly inventory data: a global analysis. I: Biological Conservation. 2019 ; Vol. 236. s. 289-295.
@article{da57087ca68c40c0b13dffd6e76331dd,
title = "Gaps in butterfly inventory data: a global analysis",
abstract = "Species distribution data are crucial for assessing the conservation status of species (red listing, IUCN) and implementing international conservation targets, such as those set by the International Convention on Biological Diversity. Although there have been a number of efforts aimed at aggregating biodiversity data, information on the distribution of many taxa is still scanty (i.e. the Wallacean Shortfall). In this study, we use a large database, including over 19 million species occurrence records, to identify knowledge gaps in biodiversity inventories for butterfly records at a global level. Bayesian hierarchical spatial models were used to quantify the relationship between gaps in inventory completeness and the density of roads, protected areas and elevational range, the former variable being a proxy for accessibility, the latter two for attractiveness to recorders. Our results show that despite > 100 years of butterfly sampling, knowledge of the distribution of butterflies is still limited in tropical areas. The results revealed that gaps in butterfly inventories are largely concentrated in areas of low elevational range, low density of protected areas and low road density. We conclude that the Wallacean Shortfall is a problem even for one of the best studied insect groups. In the light of these data limitations, we discuss prospects for filling gaps in butterfly inventories at the global scale within relatively short time frames. We argue that a combination of citizen science and quantitative tools may help to fill knowledge gaps and inform conservation decisions.",
keywords = "Aichi targets, BIAS, BIODIVERSITY, Biodiversity inventories, COMPLETENESS, CONSERVATION, GBIF, KNOWLEDGE, Knowledge-gaps, Lepidoptera, MAPS, PATTERNS, SCIENCE, SHORTFALLS, SPECIES RICHNESS, Wallacean shortfall, 1181 Ecology, evolutionary biology",
author = "Marco Girardello and Anna Chapman and Roger Dennis and Lauri Kaila and Paulo Borges and Andrea Santangeli",
year = "2019",
month = "8",
doi = "10.1016/j.biocon.2019.05.053",
language = "English",
volume = "236",
pages = "289--295",
journal = "Biological Conservation",
issn = "0006-3207",
publisher = "ELSEVIER SCI IRELAND LTD",

}

Gaps in butterfly inventory data: a global analysis. / Girardello, Marco; Chapman, Anna; Dennis, Roger; Kaila, Lauri; Borges, Paulo; Santangeli, Andrea.

I: Biological Conservation, Vol. 236, 08.2019, s. 289-295.

Forskningsoutput: TidskriftsbidragArtikelVetenskapligPeer review

TY - JOUR

T1 - Gaps in butterfly inventory data: a global analysis

AU - Girardello, Marco

AU - Chapman, Anna

AU - Dennis, Roger

AU - Kaila, Lauri

AU - Borges, Paulo

AU - Santangeli, Andrea

PY - 2019/8

Y1 - 2019/8

N2 - Species distribution data are crucial for assessing the conservation status of species (red listing, IUCN) and implementing international conservation targets, such as those set by the International Convention on Biological Diversity. Although there have been a number of efforts aimed at aggregating biodiversity data, information on the distribution of many taxa is still scanty (i.e. the Wallacean Shortfall). In this study, we use a large database, including over 19 million species occurrence records, to identify knowledge gaps in biodiversity inventories for butterfly records at a global level. Bayesian hierarchical spatial models were used to quantify the relationship between gaps in inventory completeness and the density of roads, protected areas and elevational range, the former variable being a proxy for accessibility, the latter two for attractiveness to recorders. Our results show that despite > 100 years of butterfly sampling, knowledge of the distribution of butterflies is still limited in tropical areas. The results revealed that gaps in butterfly inventories are largely concentrated in areas of low elevational range, low density of protected areas and low road density. We conclude that the Wallacean Shortfall is a problem even for one of the best studied insect groups. In the light of these data limitations, we discuss prospects for filling gaps in butterfly inventories at the global scale within relatively short time frames. We argue that a combination of citizen science and quantitative tools may help to fill knowledge gaps and inform conservation decisions.

AB - Species distribution data are crucial for assessing the conservation status of species (red listing, IUCN) and implementing international conservation targets, such as those set by the International Convention on Biological Diversity. Although there have been a number of efforts aimed at aggregating biodiversity data, information on the distribution of many taxa is still scanty (i.e. the Wallacean Shortfall). In this study, we use a large database, including over 19 million species occurrence records, to identify knowledge gaps in biodiversity inventories for butterfly records at a global level. Bayesian hierarchical spatial models were used to quantify the relationship between gaps in inventory completeness and the density of roads, protected areas and elevational range, the former variable being a proxy for accessibility, the latter two for attractiveness to recorders. Our results show that despite > 100 years of butterfly sampling, knowledge of the distribution of butterflies is still limited in tropical areas. The results revealed that gaps in butterfly inventories are largely concentrated in areas of low elevational range, low density of protected areas and low road density. We conclude that the Wallacean Shortfall is a problem even for one of the best studied insect groups. In the light of these data limitations, we discuss prospects for filling gaps in butterfly inventories at the global scale within relatively short time frames. We argue that a combination of citizen science and quantitative tools may help to fill knowledge gaps and inform conservation decisions.

KW - Aichi targets

KW - BIAS

KW - BIODIVERSITY

KW - Biodiversity inventories

KW - COMPLETENESS

KW - CONSERVATION

KW - GBIF

KW - KNOWLEDGE

KW - Knowledge-gaps

KW - Lepidoptera

KW - MAPS

KW - PATTERNS

KW - SCIENCE

KW - SHORTFALLS

KW - SPECIES RICHNESS

KW - Wallacean shortfall

KW - 1181 Ecology, evolutionary biology

U2 - 10.1016/j.biocon.2019.05.053

DO - 10.1016/j.biocon.2019.05.053

M3 - Article

VL - 236

SP - 289

EP - 295

JO - Biological Conservation

JF - Biological Conservation

SN - 0006-3207

ER -