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Majority of global biodiversity databases lack sufficient coverage from the developing world and thus severely limiting their worldwide applicability. Bridging these knowledge gaps in global databases merits urgent research priority in biodiversity science. Here, we present Trees of India (ToI), Version-I, a comprehensive database assembled from an extensive literature synthesis of 313 studies published from 1872 to 2022. Based on the ToI database, we aimed to investigate the patterns of diversity, distribution, endemic and threat status of the tree flora of India. We recorded 3708 tree species across India, which raises the number by more than one-third (1199 species) previously reported for this mega- biodiverse country in GlobalTreeSearch (GTS). We found 93 species erroneously included for India as tree lifeform in the GTS. The distribution of the tree flora considerably varied across the states in India, with southern and eastern parts harbouring the highest tree diver- sity. We found evidence of distance decay in compositional similarity among the states in India. Our results reveal that 609 tree species are endemic to the country and 347 species are currently threatened. We also found a linear positive correlation between the endemic and threatened tree species pool of the country. Our data synthesis on the trees of India has huge policy and management implications in guiding biodiversity conservation, ecosys- tem restoration and climate change mitigation in this most populous country of the world. Looking ahead, our study showcases a model with learnings for other countries/regions/ taxa to bridge the existing knowledge gaps in global biodiversity databases.
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Vol.:(0123456789)
Biodiversity and Conservation (2023) 32:3089–3107
https://doi.org/10.1007/s10531-023-02659-y
1 3
REVIEW PAPER
Bridging global knowledge gaps inbiodiversity databases:
acomprehensive data synthesis ontree diversity ofIndia
MuzamilAhmadMugal1· SajadAhmadWani1· FirdousAhmadDar1·
TajamulIslam1· RuquiaGulzar1· AkhtarHussainMalik1· ChintalaSudhakarReddy2·
AnzarAhmadKhuroo1
Received: 10 February 2023 / Revised: 27 May 2023 / Accepted: 13 June 2023 /
Published online: 27 June 2023
© The Author(s), under exclusive licence to Springer Nature B.V. 2023
Abstract
Majority of global biodiversity databases lack sufficient coverage from the developing
world and thus severely limiting their worldwide applicability. Bridging these knowledge
gaps in global databases merits urgent research priority in biodiversity science. Here, we
present Trees of India (ToI), Version-I, a comprehensive database assembled from an
extensive literature synthesis of 313 studies published from 1872 to 2022. Based on the
ToIdatabase, we aimed to investigate the patterns of diversity, distribution, endemic and
threat status of the tree flora of India. We recorded 3708 tree species across India, which
raises the number by more than one-third (1199 species) previously reported for this mega-
biodiversecountry in GlobalTreeSearch (GTS). We found 93 species erroneously included
for India as tree lifeform in the GTS. The distribution of the tree flora considerably varied
across thestates in India, with southern and eastern parts harbouring the highest tree diver-
sity. We found evidence of distance decay in compositional similarity among the states in
India. Our results reveal that 609 tree species are endemic to the country and 347 species
are currently threatened. We also found a linear positive correlation between the endemic
and threatened tree species pool of the country. Our data synthesis on thetrees of India has
huge policy and management implications in guiding biodiversity conservation, ecosys-
tem restoration and climate change mitigation in this most populous country of the world.
Looking ahead, our study showcases a model with learnings for other countries/regions/
taxa to bridge the existing knowledge gaps in global biodiversity databases.
Keywords Developing world· India· Trees· Endemics· Threatened species·
Conservation
Communicated by Mukunda Dev Behera.
* Anzar Ahmad Khuroo
anzarak@uok.edu.in
1 Centre forBiodiversity & Taxonomy, Department ofBotany, University ofKashmir, Srinagar,
JammuandKashmir190006, India
2 Forest Biodiversity andEcology Division, National Remote Sensing Centre, Indian Space
Research Organisation, Balanagar, Hyderabad, Telangana500037, India
Content courtesy of Springer Nature, terms of use apply. Rights reserved.
... Of course, endemic tree species will be the first to be affected by anthropogenic drivers, thus making them vulnerable to risks of extinction. Our results showed a significant and strong correlation between the number of endemic and threatened tree species, which supports the widely held notion that the number of threatened species is commonly used as an indicator for priority setting in the conservation of biodiversity (Gillespie et al., 2014;Keppel et al., 2021;Mugal et al., 2023). ...
... Integrating tree biodiversity data has numerous applications and can help in better understanding of macroecological patterns of tree diversity, distribution, and the underlying processes (Keppel et al., 2021). The present study, by assembling tree species inventories including data on endemic and threat status, holds great promise for identifying the key conservation hotspots at the regional (e.g., the Himalaya) level with implications for informing global biodiversity conservation priorities (Carrero et al., 2022;Mugal et al., 2023). Our study highlights that bridging the knowledge gaps in biodiversity databases from developing countries, especially from the mountainous and hotspot regions has wide policy and management implications. ...
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... The present checklist culminated in the documentation of a total of 353 taxa (340 species, nine subspecies and four varieties) belonging to 202 genera and 61 families (Appendix 1). Remarkably, the current study comprises a significant proportion of 45% of trees species of the total 783 trees (Mugal et al., 2023) in Maharashtra. Among the families represented Leguminosae (34) stands first followed by Moraceae (23), Rubiaceae (22) and Malvaceae (19) (Fig. 2). ...
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... It is also important to note that the GTS is not a static database, and mistakes in taxonomy, distribution and lifeforms have been identified. For instance, non-tree species were erroneously included as tree lifeforms, hundreds of species names were synonyms and a few thousands tree species in national and regional botanical literature have not been included, particularly in developing countries (Mugal et al., 2023;Qian et al., 2019). ...
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