Spatial dynamic simulation of beetles in biodiversity hotspots
IntroductionColeoptera is the most species-rich order of animals with the widest distribution area; however, little is known about its global suitability distribution, and a substantial number of species are experiencing silent extinction. Most of Earth’s biocommunities are concentrated in biodivers...
Main Authors: | , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2024-03-01
|
Series: | Frontiers in Ecology and Evolution |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fevo.2024.1358914/full |
_version_ | 1797246113556725760 |
---|---|
author | Ping He Ming Bai Ming Bai Lulu Li Lulu Li Yuanyuan Lu Yuanyuan Lu Jing Li Jing Li Zihan Yan |
author_facet | Ping He Ming Bai Ming Bai Lulu Li Lulu Li Yuanyuan Lu Yuanyuan Lu Jing Li Jing Li Zihan Yan |
author_sort | Ping He |
collection | DOAJ |
description | IntroductionColeoptera is the most species-rich order of animals with the widest distribution area; however, little is known about its global suitability distribution, and a substantial number of species are experiencing silent extinction. Most of Earth’s biocommunities are concentrated in biodiversity hotspots, and these hotspots receive the largest investment of conservation funds. The survival of beetles is closely related to the richness of biodiversity, so habitat loss in hotspots results in a high extinction risk for beetles.MethodsWe used the MaxEnt model to simulate the spatial suitable distribution in six time periods (1970-1980, 1980-1990, 1990-2000, 2000-2010, 2010-2020, and 1970-2020). Furthermore, we determined the priority suitable regions in hotspots after coupling the current biodiversity zones and evaluated the congruence between the suitable habitat of beetles and hotspots.ResultsThe results revealed that less than 30% of suitable regions were located in hotspots, and approximately 49.08% of the suitable habitat remained constant in all six periods, and can be regarded as climatically stable refugia. The Mediterranean Basin had the largest suitable area in each period and was always ranked first; other regions, such as Indo-Burma, Irano-Anatolian, and Mesoamerica, also had large areas of suitable habitat. Nine excellent, ten stable, and seventeen lower hotspots were identified based on their dynamic changes in 36 hotspots.DiscussionBased on these results, corresponding planning and management measures should be implemented in different biodiversity hotspots according to the changes in geographic distribution. In this paper, we propose practical advice for different regions to improve isolated and fragmented habitats, which will support the conservation of Coleoptera taxa and the restoration of biodiversity. |
first_indexed | 2024-04-24T19:37:38Z |
format | Article |
id | doaj.art-8866d688c21b4eb5817ee3a8270d0bb8 |
institution | Directory Open Access Journal |
issn | 2296-701X |
language | English |
last_indexed | 2024-04-24T19:37:38Z |
publishDate | 2024-03-01 |
publisher | Frontiers Media S.A. |
record_format | Article |
series | Frontiers in Ecology and Evolution |
spelling | doaj.art-8866d688c21b4eb5817ee3a8270d0bb82024-03-25T11:47:31ZengFrontiers Media S.A.Frontiers in Ecology and Evolution2296-701X2024-03-011210.3389/fevo.2024.13589141358914Spatial dynamic simulation of beetles in biodiversity hotspotsPing He0Ming Bai1Ming Bai2Lulu Li3Lulu Li4Yuanyuan Lu5Yuanyuan Lu6Jing Li7Jing Li8Zihan Yan9Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, ChinaKey Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, ChinaUniversity of Chinese Academy of Sciences, Beijing, ChinaKey Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, ChinaUniversity of Chinese Academy of Sciences, Beijing, ChinaKey Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, ChinaUniversity of Chinese Academy of Sciences, Beijing, ChinaKey Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, ChinaUniversity of Chinese Academy of Sciences, Beijing, ChinaCollege of Plant Protection, Hebei Agricultural University, Baoding, ChinaIntroductionColeoptera is the most species-rich order of animals with the widest distribution area; however, little is known about its global suitability distribution, and a substantial number of species are experiencing silent extinction. Most of Earth’s biocommunities are concentrated in biodiversity hotspots, and these hotspots receive the largest investment of conservation funds. The survival of beetles is closely related to the richness of biodiversity, so habitat loss in hotspots results in a high extinction risk for beetles.MethodsWe used the MaxEnt model to simulate the spatial suitable distribution in six time periods (1970-1980, 1980-1990, 1990-2000, 2000-2010, 2010-2020, and 1970-2020). Furthermore, we determined the priority suitable regions in hotspots after coupling the current biodiversity zones and evaluated the congruence between the suitable habitat of beetles and hotspots.ResultsThe results revealed that less than 30% of suitable regions were located in hotspots, and approximately 49.08% of the suitable habitat remained constant in all six periods, and can be regarded as climatically stable refugia. The Mediterranean Basin had the largest suitable area in each period and was always ranked first; other regions, such as Indo-Burma, Irano-Anatolian, and Mesoamerica, also had large areas of suitable habitat. Nine excellent, ten stable, and seventeen lower hotspots were identified based on their dynamic changes in 36 hotspots.DiscussionBased on these results, corresponding planning and management measures should be implemented in different biodiversity hotspots according to the changes in geographic distribution. In this paper, we propose practical advice for different regions to improve isolated and fragmented habitats, which will support the conservation of Coleoptera taxa and the restoration of biodiversity.https://www.frontiersin.org/articles/10.3389/fevo.2024.1358914/fullcoleopteraMAXENT modelconservationhabitat suitabilitybiodiversity hotspots |
spellingShingle | Ping He Ming Bai Ming Bai Lulu Li Lulu Li Yuanyuan Lu Yuanyuan Lu Jing Li Jing Li Zihan Yan Spatial dynamic simulation of beetles in biodiversity hotspots Frontiers in Ecology and Evolution coleoptera MAXENT model conservation habitat suitability biodiversity hotspots |
title | Spatial dynamic simulation of beetles in biodiversity hotspots |
title_full | Spatial dynamic simulation of beetles in biodiversity hotspots |
title_fullStr | Spatial dynamic simulation of beetles in biodiversity hotspots |
title_full_unstemmed | Spatial dynamic simulation of beetles in biodiversity hotspots |
title_short | Spatial dynamic simulation of beetles in biodiversity hotspots |
title_sort | spatial dynamic simulation of beetles in biodiversity hotspots |
topic | coleoptera MAXENT model conservation habitat suitability biodiversity hotspots |
url | https://www.frontiersin.org/articles/10.3389/fevo.2024.1358914/full |
work_keys_str_mv | AT pinghe spatialdynamicsimulationofbeetlesinbiodiversityhotspots AT mingbai spatialdynamicsimulationofbeetlesinbiodiversityhotspots AT mingbai spatialdynamicsimulationofbeetlesinbiodiversityhotspots AT lululi spatialdynamicsimulationofbeetlesinbiodiversityhotspots AT lululi spatialdynamicsimulationofbeetlesinbiodiversityhotspots AT yuanyuanlu spatialdynamicsimulationofbeetlesinbiodiversityhotspots AT yuanyuanlu spatialdynamicsimulationofbeetlesinbiodiversityhotspots AT jingli spatialdynamicsimulationofbeetlesinbiodiversityhotspots AT jingli spatialdynamicsimulationofbeetlesinbiodiversityhotspots AT zihanyan spatialdynamicsimulationofbeetlesinbiodiversityhotspots |