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Duan J, Liu J, Huang Z. Predicting the distribution pattern changes of dye plant habitats caused by climate change. FRONTIERS IN PLANT SCIENCE 2024; 15:1364481. [PMID: 38938635 PMCID: PMC11210319 DOI: 10.3389/fpls.2024.1364481] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/10/2024] [Accepted: 05/31/2024] [Indexed: 06/29/2024]
Abstract
Climate change has accelerated the habitat loss and fragmentation of wildlife. Dye plants of "Fengxiang dyeing" are important indigenous natural resources for traditional printing and dyeing craft in southwest China, is of practical and cultural importance for dozens of ethnic minorities. However, lack of the spatial distribution information of these plants has hampered holistic and efficient conservation management measures. We analyzed the potentially suitable areas of four dye plants (Liquidambar formosana, Strobilanthes cusia, Persicaria tinctoria and Indigofera tinctoria) necessary for "Fengxiang dyeing" based on their geographical distribution sites under different climatic situations using the maximum entropy (MaxEnt) model. The results showed that temperature, precipitation and elevation were the most important factors affecting the suitable geographical areas of the four dye plants. Under the current climate conditions, the overlapping suitable habitat areas of the four plants were mainly in the four southern provinces of China, including Guizhou, Guangxi, Guangdong and Hainan. L. formosana was used as the base plant for combination with the other three plants under the two future climate scenarios (SSP126 and SSP585), and the overlapping suitable habitat areas of the obtained seven combination patterns were considered suitable for potential craft development. Five patterns showed an increase, while two patterns showed a decreasing trend with the increasing carbon emission. The prediction results showed that the overlapping suitable habitat center of the four plants will gradually move to the northeast, indicating that the overlapping suitable habitat area and craft distribution area will be changed. These results provide the basis for understanding the spatial distribution pattern changes of dye plants caused by climate change and establishing measures for protecting and developing printing and dyeing craft.
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Affiliation(s)
- Jingpeng Duan
- College of Architecture and Design, University of South China, Hengyang, China
| | - Jing Liu
- College of Architecture and Design, University of South China, Hengyang, China
- School of Life Sciences, Central China Normal University, Wuhan, China
| | - Zhihuan Huang
- College of Architecture and Design, University of South China, Hengyang, China
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Amir Afzali Y, Naderloo R, Keikhosravi A, Klaus S. Phylogeography of the freshwater crab Potamon persicum (Decapoda: Potamidae): an ancestral ring species? J Hered 2024; 115:277-291. [PMID: 38501510 DOI: 10.1093/jhered/esae016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2023] [Accepted: 03/17/2024] [Indexed: 03/20/2024] Open
Abstract
The Zagros Mountains, characterized by complex topography and three large drainage systems, harbor the endemic freshwater crab Potamon persicum in Iran. Our study delves into the evolutionary history of P. persicum, utilizing two mitochondrial and one nuclear marker. We collected 214 specimens from 24 localities, identifying 21 haplotypes grouped into two major evolutionary lineages. Substantial differentiation exists between drainage systems and lineages. Historical demographic analysis revealed a significant decrease in population size during the late Holocene, accompanied by a recent population bottleneck. Species distribution modeling has revealed eastward shifts in suitable habitats between the last glacial maximum and the present day. Following the last glacial maximum, habitat fragmentation occurred, resulting in the establishment of small populations. These smaller populations are more vulnerable to climatic and geological events, thereby limiting gene flow and accelerating genetic differentiation within species. Historical biogeographic analysis traced the origin of P. persicum to the western Zagros Mountains, with major genetic divergence occurring during the Pleistocene. Our genetic analyses suggest that P. persicum may have shown a genetic pattern similar to a classical ring species before the Pleistocene. The Namak Lake sub-basin could have served as a contact zone where populations did not interbreed but were connected through gene flow in a geographic ring. Currently, genetic separation is evident between basins, indicating that P. persicum in the Zagros Mountains is not a contemporary ring species. Also, our biogeographical analysis estimated that range evolution may have been driven initially by dispersal, and only during the late Pleistocene by vicariance.
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Affiliation(s)
- Yaser Amir Afzali
- Department of Biology, College of Science, University of Tehran, Tehran 1417935840, Iran
| | - Reza Naderloo
- Department of Biology, College of Science, University of Tehran, Tehran 1417935840, Iran
| | - Alireza Keikhosravi
- Department of Biology, Hakim Sabzevari University, Sabzevar 9617976487, Iran
| | - Sebastian Klaus
- Environmental Resources Management, Managing Consultant, ERM GmbH, Siemensstr. 9, Neu-Isenburg 63263, Germany
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Sharifian S, Mortazavi MS, Mohebbi Nozar SL. Projected habitat preferences of commercial fish under different scenarios of climate change. Sci Rep 2024; 14:10177. [PMID: 38702432 PMCID: PMC11068754 DOI: 10.1038/s41598-024-61008-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Accepted: 04/30/2024] [Indexed: 05/06/2024] Open
Abstract
The challenges of commercial species with the threats of climate change make it necessary to predict the changes in the distributional shifts and habitat preferences of the species under possible future scenarios. We aim to demonstrate how future climatic changes will affect the habitat suitability of three species of commercial fish using the predictive technique MaxEnt. The dataset used to extract geographical records included OBIS (54%), GBIF (1%), and literature (45%). The output of the model indicated accurate projections of MaxEnt (AUC above 0.9). Temperature was the main descriptor responsible for the main effects on the distribution of commercial fish. With increasing RCP from 2.5 to 8.5, the species would prefer saltier, higher temperatures and deeper waters in the future. We observed different percentages of suitable habitats between species during RCPs showing distinct sensitivity of each fish in facing climate changes. Negative effects from climate change on the distribution patterns of commercial fish were predicted to lead to varying degrees of reduction and changes of suitable habitats and movement of species towards higher latitudes. The finding emphasizes to implement adaptive management measures to preserve the stocks of these commercial fish considering that the intensification of the effects of climate change on subtropical areas and overexploited species is predicted.
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Affiliation(s)
- Sana Sharifian
- Agricultural Research Education and Extension Organization (AREEO), Persian Gulf and Oman Sea Ecological Research Center, Iranian Fisheries Sciences Research Institute, Bandar Abbas, Hormozgan, Iran.
| | - Mohammad Seddiq Mortazavi
- Agricultural Research Education and Extension Organization (AREEO), Persian Gulf and Oman Sea Ecological Research Center, Iranian Fisheries Sciences Research Institute, Bandar Abbas, Hormozgan, Iran
| | - Seyedeh Laili Mohebbi Nozar
- Agricultural Research Education and Extension Organization (AREEO), Persian Gulf and Oman Sea Ecological Research Center, Iranian Fisheries Sciences Research Institute, Bandar Abbas, Hormozgan, Iran
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Fu C, Wang X, Huang T, Wang R. Future habitat changes of Bactrocera minax Enderlein along the Yangtze River Basin using the optimal MaxEnt model. PeerJ 2023; 11:e16459. [PMID: 38025688 PMCID: PMC10668831 DOI: 10.7717/peerj.16459] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Accepted: 10/23/2023] [Indexed: 12/01/2023] Open
Abstract
Background Bactrocera minax (Enderlein, 1920) (Diptera: Tephritidae) is a destructive citrus pest. It is mainly distributed throughout Shaanxi, Sichuan, Chongqing, Guizhou, Yunnan, Hubei, Hunan, and Guangxi in China and is considered to be a second-class pest that is prohibited from entering that country. Climate change, new farming techniques, and increased international trade has caused the habitable area of this pest to gradually expand. Understanding the suitable habitats of B. minax under future climate scenarios may be crucial to reveal the expansion pattern of the insect and develop corresponding prevention strategies in China. Methods Using on the current 199 distribution points and 11 environmental variables for B. minax, we chose the optimal MaxEnt model to screen the dominant factors that affect the distribution of B. minax and to predict the potential future distribution of B. minax in China under two shared socio-economic pathways (SSP1-2.6, SSP5-8.5). Results The current habitat of B. minax is located at 24.1-34.6°N and 101.1-122.9°E, which encompasses the provinces of Guizhou, Sichuan, Hubei, Hunan, Chongqing, and Yunnan (21.64 × 104 km2). Under future climate scenarios, the potential suitable habitat for B. minax may expand significantly toward the lower-middle reaches of the Yangtze River. The land coverage of highly suitable habitats may increase from 21.64 × 104 km2 to 26.35 × 104 × 104 km2 (2050s, SSP5-8.5) ~ 33.51 × 104 km2 (2090s, SSP5-8.5). This expansion area accounts for 29% (2050s, SSP1-2.6) to 34.83% (2090s, SSP1-2.6) of the current habitat. The center of the suitable habitat was predicted to expand towards the northeast, and the scenario with a stronger radiative force corresponded to a more marked movement of the center toward higher latitudes. A jackknife test showed that the dominant variables affecting the distribution of B. minax were the mean temperature of the driest quarter (bio9), the annual precipitation (bio12), the mean diurnal range (bio2), the temperature annual range (bio7), and the altitude (alt). Discussion Currently, it is possible for B. minax to expand its damaging presence. Regions with appropriate climate conditions and distribution of host plants may become potential habitats for the insects, and local authorities should strengthen their detection and prevention strategies. Climate changes in the future may promote the survival and expansion of B. minax species in China, which is represented by the significant increase of suitable habitats toward regions of high altitudes and latitudes across all directions but with some shrinkage in the east and west sides.
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Affiliation(s)
- Chun Fu
- Key Laboratory of Sichuan Province for Bamboo Pests Control and Resource Development, Leshan Normal University, Leshan, China
| | - Xian Wang
- Hejiang Bureau of Agriculture and Rural Affairs, Hejiang, China
| | - Tingting Huang
- Chengdu Agricultural Technology Extension Station, Chengdu, Sichuan, China
| | - Rulin Wang
- Sichuan Provincial Rural Economic Information Center, Chengdu, China
- Water-Saving Agriculture in Southern Hill Area Key Laboratory of Sichuan Province, Chengdu, Sichuan, China
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Dhami B, Adhikari B, Panthi S, Neupane B. Predicting suitable habitat of swamp deer ( Rucervus duvaucelii) across the Western Terai Arc Landscape of Nepal. Heliyon 2023; 9:e16639. [PMID: 37274642 PMCID: PMC10238933 DOI: 10.1016/j.heliyon.2023.e16639] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Revised: 05/22/2023] [Accepted: 05/24/2023] [Indexed: 06/06/2023] Open
Abstract
Over the last few years, intensifying human impact and the deterioration of natural habitats have severely restricted the global distribution of large herbivores. Rucervus duvaucelii, commonly recognized as the swamp deer, is a habitat-specialist endemic large herbivore of the Indian Subcontinent. It is classified as vulnerable by the IUCN and listed in CITES Appendix I due to a steep decline in its population, which is primarily due to anthropogenic causes. In Nepal, the last remaining population of this species is confined to limited pocket areas within the western Terai Arc Landscape. We explored potential habitat for swamp deer across this landscape using species distribution modelling through the MaxEnt algorithm by using 173 field-verified presence points alongside six anthropogenic, four topographic, and four vegetation-related variables. Our study found that out of the total study area (9207 km2), only 6% (590 km2) was suitable for swamp deer. Approximately 45% of suitable habitat was incorporated within protected areas, with Shuklaphanta National Park harboring the largest habitat patch. The suitability of habitat was discovered to be positively associated with low-elevation areas, areas near water sources, and areas far from settlements, implying the need to conserve water sources and minimize the extension of anthropogenic pressure for their long-term conservation. Additionally, we suggest the implications of a swamp deer-centric conservation strategy, with an emphasis on increasing connectivity through the corridors and landscape-level population connectivity through trans-boundary conservation initiatives between Nepal and India. Moreover, considering large herbivores' high vulnerability to extinction, similar researche incorporating anthropogenic factors is of the utmost importance to produce vital information on habitat suitability for conserving other regionally and globally endemic, habitat-specialized herbivores.
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Affiliation(s)
- Bijaya Dhami
- Tribhuvan University, Institute of Forestry, Pokhara, Kaski, 33700, Nepal
| | - Binaya Adhikari
- Tribhuvan University, Institute of Forestry, Pokhara, Kaski, 33700, Nepal
- Pokhara Zoological Park and Wildlife Rescue Center, Kaski, 33700, Nepal
| | - Saroj Panthi
- Ministry of Forest, Environment and Soil Conservation, Gandaki, 33700, Nepal
| | - Bijaya Neupane
- Tribhuvan University, Institute of Forestry, Pokhara, Kaski, 33700, Nepal
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Sharifian S, Mortazavi MS, Nozar SLM. Predicting present spatial distribution and habitat preferences of commercial fishes using a maximum entropy approach. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023:10.1007/s11356-023-27467-3. [PMID: 37219769 DOI: 10.1007/s11356-023-27467-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Accepted: 05/02/2023] [Indexed: 05/24/2023]
Abstract
The knowledge of the geographical distribution and habitat preferences of marine species is the key to protecting marine ecosystems. Modeling the distribution of marine species through environmental variables is an essential step to understanding and reducing climate change effects on marine biodiversity and related human populations. In this study, the present distributions of commercial fishes including Acanthopagrus latus, Planiliza klunzingeri, and Pomadasys kaakan were modeled using the maximum entropy (MaxEnt) modeling technique and a set of 22 environmental variables. In total, 1531 geographical records belonging to three species were extracted from online databases Ocean Biodiversity Information System (OBIS, 829 records, 54%), Global Biodiversity Information Facility (GBIF, 17 records, 1%), and literature (685 records, 45%) during September to December 2022. The findings showed the values of area under the receiver operating characteristic (ROC) curve (AUC) above 0.99 for all species indicating the high performance of this technique to reflect the actual distribution of species. Environmental factors such as depth (19.68%), sea surface temperature (SST) (19.40%), and wave height (20.71%) were the strongest environmental predictors determining the present distribution and habitat preferences of the three commercial fish species. The Persian Gulf, Iranian coasts of the Sea of Oman, North Arabian Sea, North-East areas of the Indian Ocean, and North coasts of Australia are among the areas with ideal environmental conditions for the species. For all species, the percentage of habitats with high suitability (13.35%) was higher compared to habitats with low suitability (6.56%). However, a high percentage of species occurrence habitats had unsuitable conditions (68.58%) showing the vulnerability of these commercial fishes. Significant management strategies are needed to protect preferred habitats to minimize the effect of fishery and climate change on the population stocks of these commercial fishes.
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Affiliation(s)
- Sana Sharifian
- Persian Gulf and Oman Sea Ecological Research Center, Iranian Fisheries Sciences Research Institute, Agricultural Research Education and Extension Organization (AREEO), Bandar Abbas, Hormozgan, Iran.
| | - Mohammad Seddiq Mortazavi
- Persian Gulf and Oman Sea Ecological Research Center, Iranian Fisheries Sciences Research Institute, Agricultural Research Education and Extension Organization (AREEO), Bandar Abbas, Hormozgan, Iran
| | - Seyedeh Laili Mohebbi Nozar
- Persian Gulf and Oman Sea Ecological Research Center, Iranian Fisheries Sciences Research Institute, Agricultural Research Education and Extension Organization (AREEO), Bandar Abbas, Hormozgan, Iran
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Shan Y, Gao X, Hu X, Hou Y, Wang F. Current and future potential distribution of the invasive scale Ceroplastes rusci (L., 1758) (Hemiptera: Coccidae) under climate niche. PEST MANAGEMENT SCIENCE 2023; 79:1184-1192. [PMID: 36394192 DOI: 10.1002/ps.7290] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Revised: 11/01/2022] [Accepted: 11/14/2022] [Indexed: 06/16/2023]
Abstract
BACKGROUND The fig wax scale, Ceroplastes rusci is an invasive pest that feeds on more than 94 genera from 52 families that is spread across 60 countries, causing negative impacts to agriculture and forestry. Understanding the potential distribution of invasive species under climate change is crucial for the management and monitoring purposes. Thus, we predicted the potential distribution areas of C. rusci using Maximum Entropy (MaxEnt) based on the occurrence data and environmental variables under current and future climatic scenarios. RESULTS Our results showed that the temperature annual range (Bio 7) and mean temperature of the warmest quarter (Bio 10) attributed to a higher contribution to the current model of the distribution of C. rusci. The potential distribution maps illustrated the main concentrated areas of C. rusci which included South America, Africa, Asia, and Oceania. In addition, potential range expansions or reductions were predicted under different future climate change scenarios, which showed that the total suitable areas of the fig wax scale presented an increasing trend until 2100. CONCLUSION Our study provides significant data to understand the potential distribution of C. rusci around the world. It also serves as an early warning for the highly suitable habitat areas that even offers a platform to the currently non-infested regions or countries who are yet to develop monitoring strategies in response to the possible C. rusci outbreak. © 2022 Society of Chemical Industry.
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Affiliation(s)
- Yiman Shan
- Ministry of Education Key Laboratory of Molecular and Cellular Biology, Hebei Collaborative Innovation center for Eco-Environment, Hebei Key Laboratory of Animal Physiology, Biochemistry and Molecular Biology, College of Life Sciences, Hebei Normal University, Shijiazhuang, Hebei, China
| | - Xinyue Gao
- College of Plant Protection, Shanxi Agricultural University, Jinzhong, Shanxi, China
| | - Xinyu Hu
- Ministry of Education Key Laboratory of Molecular and Cellular Biology, Hebei Collaborative Innovation center for Eco-Environment, Hebei Key Laboratory of Animal Physiology, Biochemistry and Molecular Biology, College of Life Sciences, Hebei Normal University, Shijiazhuang, Hebei, China
| | - Yunfeng Hou
- Ministry of Education Key Laboratory of Molecular and Cellular Biology, Hebei Collaborative Innovation center for Eco-Environment, Hebei Key Laboratory of Animal Physiology, Biochemistry and Molecular Biology, College of Life Sciences, Hebei Normal University, Shijiazhuang, Hebei, China
| | - Fang Wang
- Ministry of Education Key Laboratory of Molecular and Cellular Biology, Hebei Collaborative Innovation center for Eco-Environment, Hebei Key Laboratory of Animal Physiology, Biochemistry and Molecular Biology, College of Life Sciences, Hebei Normal University, Shijiazhuang, Hebei, China
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Quebedeaux KB, Taylor CA, Curtis AN, Larson ER. A multi-method approach for assessing the distribution of a rare, burrowing North American crayfish species. PeerJ 2023; 11:e14748. [PMID: 36846445 PMCID: PMC9948742 DOI: 10.7717/peerj.14748] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2022] [Accepted: 12/27/2022] [Indexed: 02/22/2023] Open
Abstract
Primary burrowing crayfishes face high extinction risk, but are challenging to study, manage, and conserve due to their difficult-to-sample habitat (i.e., terrestrial burrows) and low population densities. We apply here a variety of methods to characterize the distribution, habitat associations, and conservation status of the Boston Mountains Crayfish Cambarus causeyi (Reimer, 1966), an endemic burrowing crayfish found only in the Ozark Mountains of Arkansas, United States. We used species distribution modeling (SDM) on historic occurrence records to characterize the distribution and macro-scale habitat associations of this species. We then ground-truthed SDM predictions with conventional sampling, modeled fine-scale habitat associations with generalized linear models (GLM), and lastly developed and tested an environmental DNA (eDNA) assay for this species in comparison to conventional sampling. This represents, to our knowledge, the first successful eDNA assay for a terrestrial burrowing crayfish. Our MaxEnt-derived SDM found a strong effect of average annual precipitation on the historic distribution of C. causeyi, which occurred most frequently at locations with moderately high average annual precipitation (140-150 cm/yr) within our study region. Cambarus causeyi was difficult to detect by conventional sampling in 2019 and 2020, found at only 9 of 51 sites (17.6%) sampled by searching for and manually excavating crayfish burrows. Surprisingly, habitat suitability predicted from our MaxEnt models was not associated with contemporary C. causeyi occurrences per GLMs. Instead, C. causeyi presence was negatively associated with both sandy soils and the presence of other burrowing crayfish species. Poor SDM performance in this instance was likely caused by the omission of high resolution fine-scale habitat data (e.g., soils) and biotic interactions from MaxEnt models. Finally, our eDNA assay detected C. causeyi from six of 25 sites (24.0%) sampled in 2020, out-performing conventional surveys by burrow excavation for this species. Given the difficulty of studying primary burrowing crayfishes and their high conservation need, we propose that eDNA may become an increasingly important monitoring tool for C. causeyi and similar species.
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Affiliation(s)
- Kathleen B. Quebedeaux
- Illinois Natural History Survey, Prairie Research Institute, University of Illinois at Urbana-Champaign, Champaign, IL, United States of America,Department of Natural Resources and Environmental Sciences, College of Agricultural, Consumer and Environmental Sciences, University of Illinois at Urbana-Champaign, Urbana, IL, United States of America
| | - Christopher A. Taylor
- Illinois Natural History Survey, Prairie Research Institute, University of Illinois at Urbana-Champaign, Champaign, IL, United States of America
| | - Amanda N. Curtis
- Program in Ecology, Evolution & Conservation Biology, University of Illinois at Urbana-Champaign, Urbana, IL, United States of America
| | - Eric R. Larson
- Department of Natural Resources and Environmental Sciences, College of Agricultural, Consumer and Environmental Sciences, University of Illinois at Urbana-Champaign, Urbana, IL, United States of America
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Yousefi M, Naderloo R. Global habitat suitability modeling reveals insufficient habitat protection for mangrove crabs. Sci Rep 2022; 12:21713. [PMID: 36522394 PMCID: PMC9755133 DOI: 10.1038/s41598-022-26226-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Accepted: 12/12/2022] [Indexed: 12/23/2022] Open
Abstract
Mangrove crabs are important components of mangrove forests however their large scale habitat suitability and conservation received little attention. The Metopograpsus thukuhar/cannicci species complex is a mangrove dwelling species occurs in the Indo-Pacific mangrove forests. Since identifying the complex suitable habitat is critical for its conservation, we modeled global habitat suitability of the complex within marine biogeographic realms and estimated representation of the complex suitable habitats within marine protected areas. We found that the complex' largest and smallest suitable ranges are located in Central Indo-Pacific and Temperate Southern Africa realms, respectively. Only 12.5% of the complex suitable habitat is protected. The highest proportion of the complex' protected suitable habitat (22.9%) is located in Western Indo-Pacific realm while the lowest proportion of the complex' protected suitable habitat (1.38%) is located in Central Indo-Pacific realm. Suitable unprotected habitats of the complex identified in this study have high priority for conservation and should be included in marine protected areas to ensure species conservation. Our results show that species distribution models are practical tools to study marine species distribution across large spatial scales and help marine conservation planning.
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Affiliation(s)
- Masoud Yousefi
- grid.46072.370000 0004 0612 7950School of Biology, College of Science, University of Tehran, Tehran, 14155-6455 Iran
| | - Reza Naderloo
- grid.46072.370000 0004 0612 7950School of Biology, College of Science, University of Tehran, Tehran, 14155-6455 Iran
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Alexander N, Cosentino BJ, Schooley RL. Testing the niche reduction hypothesis for a fossorial rodent (
Geomys bursarius
) experiencing agricultural intensification. Ecol Evol 2022; 12:e9559. [PMCID: PMC9745012 DOI: 10.1002/ece3.9559] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Revised: 10/27/2022] [Accepted: 11/10/2022] [Indexed: 12/15/2022] Open
Affiliation(s)
- Nathan Alexander
- Department of Natural Resources and Environmental Sciences University of Illinois at Urbana‐Champaign Urbana Illinois USA
| | | | - Robert L. Schooley
- Department of Natural Resources and Environmental Sciences University of Illinois at Urbana‐Champaign Urbana Illinois USA
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Incorporating satellite remote sensing for improving potential habitat simulation of Prosopis cineraria (L.) Druce in United Arab Emirates. Glob Ecol Conserv 2022. [DOI: 10.1016/j.gecco.2022.e02167] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
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12
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Allison PF, Lieb DA, Loughman ZJ. Distribution, natural history, and conservation of Cambarus dubius in Pennsylvania. J NAT HIST 2022. [DOI: 10.1080/00222933.2022.2069056] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/15/2022]
Affiliation(s)
- Patrick F. Allison
- Department of Biological Sciences, West Liberty University, West Liberty, WV, USA
| | - David A. Lieb
- Department of Biological Sciences, West Liberty University, West Liberty, WV, USA
- Western Pennsylvania Conservancy, Pennsylvania Fish & Boat Commission, and PA Natural Heritage Program, Bellefonte, PA, USA
| | - Zachary J. Loughman
- Department of Biological Sciences, West Liberty University, West Liberty, WV, USA
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Semedo TBF, Saldanha J, de Mendonça RFB, Lima-Silva LG, Gutiérrez EE, Rossi RV, Dalapicolla J, Brandão MV. Distribution limits, natural history and conservation status of the poorly known Peruvian gracile mouse opossum (Didelphimorphia: Didelphidae). STUDIES ON NEOTROPICAL FAUNA AND ENVIRONMENT 2022. [DOI: 10.1080/01650521.2021.2024055] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Affiliation(s)
- Thiago Borges Fernandes Semedo
- Instituto Nacional de Pesquisas do Pantanal (INPP) — Museu Paraense Emílio Goeldi (MPEG) — Programa de Capacitação Institucional, Cuiabá, Brazil
| | - Juliane Saldanha
- Laboratório de Citogenética e Genética Animal, Instituto de Biociências, Universidade Federal de Mato Grosso (UFMT), Cuiabá, Brazil
- Laboratório de Mastozoologia, Instituto de Biociências, Universidade Federal de Mato Grosso (UFMT), Cuiabá, Brazil
| | | | - Luan Gabriel Lima-Silva
- Laboratório de Mastozoologia, Instituto de Biociências, Universidade Federal de Mato Grosso (UFMT), Cuiabá, Brazil
| | - Eliécer Eduardo Gutiérrez
- Programa de Pós-Graduação em Biodiversidade Animal, Centro de Ciências Naturais, Exatas, Universidade Federal de Santa Maria (UFSM), Santa Maria, Brazil
| | - Rogério Vieira Rossi
- Laboratório de Mastozoologia, Instituto de Biociências, Universidade Federal de Mato Grosso (UFMT), Cuiabá, Brazil
| | | | - Marcus Vinicius Brandão
- Pós-Graduação em Sistemática, Taxonomia Animal e Biodiversidade, Museu de Zoologia da Universidade de São Paulo (USP), São Paulo, Brazil
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Tang SL, Song YB, Zeng B, Dong M. Potential distribution of the extremely endangered species Ostrya rehderiana (Betulaceae) in China under future climate change. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:7782-7792. [PMID: 34476707 DOI: 10.1007/s11356-021-16268-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/02/2021] [Accepted: 08/26/2021] [Indexed: 06/13/2023]
Abstract
Global climate change is a major threat to biodiversity, which may increase the extinction risk of rare species, particularly those like Ostrya rehderiana Chun (Betulaceae) with very few remaining extant wild individuals. We aimed to estimate the potential distribution of O. rehderiana under climate change and to analyze possible relevant climatic factors. Maximum entropy (Maxent) was employed to model the potential distribution of O. rehderiana under present and future climate scenarios. Suitable habitat areas in different periods and the main contributing climate factors were identified using species distribution models. The minimum temperature in winter and precipitation seasonality were the principal climatic factors influencing the establishment of O. rehderiana. The proportion of high potential distribution area in China was 3.91% and would further shrink significantly under changing climate, especially reduce by 97% under high radiative forcing. The extinction risk of O. rehderiana would still be extraordinarily high under future climate scenarios. The Tianmu and Luoxiao Mountains would be the only potential refugia for O. rehderiana in the future. Special conservation efforts are urgently required to rescue extremely endangered species as O. rehderiana. We propose priorities for the conservation region and suggestions for conservation management strategies.
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Affiliation(s)
- Shuang-Li Tang
- Key Laboratory of Eco-environments in Three Gorges Reservoir Region (Ministry of Education), Chongqing Key Laboratory of Plant Ecology and Resources in Three Gorges Reservoir Region, School of Life Sciences, Southwest University, Chongqing, 400715, China
- Key Laboratory of Hangzhou City for Ecosystem Protection and Restoration, College of Life and Environmental Sciences, Hangzhou Normal University, Hangzhou, 311121, China
| | - Yao-Bin Song
- Key Laboratory of Hangzhou City for Ecosystem Protection and Restoration, College of Life and Environmental Sciences, Hangzhou Normal University, Hangzhou, 311121, China
| | - Bo Zeng
- Key Laboratory of Eco-environments in Three Gorges Reservoir Region (Ministry of Education), Chongqing Key Laboratory of Plant Ecology and Resources in Three Gorges Reservoir Region, School of Life Sciences, Southwest University, Chongqing, 400715, China.
| | - Ming Dong
- Key Laboratory of Hangzhou City for Ecosystem Protection and Restoration, College of Life and Environmental Sciences, Hangzhou Normal University, Hangzhou, 311121, China.
- Ecological Security and Protection Key Laboratory of Sichuan Province, Mianyang Normal University, Mianyang, 621000, China.
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Can distribution modeling inform rare and endangered species monitoring in Mediterranean islands? ECOL INFORM 2021. [DOI: 10.1016/j.ecoinf.2021.101434] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
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16
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Sharifian S, Kamrani E, Saeedi H. Insights toward the future potential distribution of mangrove crabs in the Persian Gulf and the Sea of Oman. J ZOOL SYST EVOL RES 2021. [DOI: 10.1111/jzs.12532] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Affiliation(s)
- Sana Sharifian
- Department of Marine Biology University of Hormozgan Bandar Abbas Iran
| | - Ehsan Kamrani
- Fishery Department University of Hormozgan Bandar Abbas Iran
| | - Hanieh Saeedi
- Department of Marine Zoology Senckenberg Research Institute and Natural History Museum Frankfurt am Main Germany
- OBIS Data ManagerDeep‐Sea Node Frankfurt am Main Germany
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Ma D, Lun X, Li C, Zhou R, Zhao Z, Wang J, Zhang Q, Liu Q. Predicting the Potential Global Distribution of Amblyomma americanum (Acari: Ixodidae) under Near Current and Future Climatic Conditions, Using the Maximum Entropy Model. BIOLOGY 2021; 10:1057. [PMID: 34681156 PMCID: PMC8533137 DOI: 10.3390/biology10101057] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/01/2021] [Revised: 10/11/2021] [Accepted: 10/13/2021] [Indexed: 11/22/2022]
Abstract
Amblyomma americanum (the lone star tick) is a pathogen vector, mainly from eastern North America, that bites humans. With global integration and climate change, some ticks that are currently confined to a certain place may begin to spread out; some reports have shown that they are undergoing rapid range expansion. The difference in the potential geographic distribution of A. americanum under current and future climatic conditions is dependent on environment variables such as temperature and precipitation, which can affect their survival. In this study, we used a maximum entropy (MaxEnt) model to predict the potential geographic distribution of A. americanum. The MaxEnt model was calibrated at the native range of A. americanum using occurrence data and the current climatic conditions. Seven WorldClim climatic variables were selected by the jackknife method and tested in MaxEnt using different combinations of model feature class functions and regularization multiplier values. The best model was chosen based on the omission rate and the lowest Akaike information criterion. The resulting model was then projected onto the global scale using the current and future climate conditions modeled under four greenhouse gas emission scenarios.
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Affiliation(s)
- Delong Ma
- School of Public Health and Health Management, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan 250117, China; (D.M.); (C.L.)
- State Key Laboratory of Infectious Diseases Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China; (X.L.); (R.Z.); (Z.Z.); (J.W.)
| | - Xinchang Lun
- State Key Laboratory of Infectious Diseases Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China; (X.L.); (R.Z.); (Z.Z.); (J.W.)
| | - Chao Li
- School of Public Health and Health Management, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan 250117, China; (D.M.); (C.L.)
- State Key Laboratory of Infectious Diseases Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China; (X.L.); (R.Z.); (Z.Z.); (J.W.)
| | - Ruobing Zhou
- State Key Laboratory of Infectious Diseases Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China; (X.L.); (R.Z.); (Z.Z.); (J.W.)
| | - Zhe Zhao
- State Key Laboratory of Infectious Diseases Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China; (X.L.); (R.Z.); (Z.Z.); (J.W.)
- Shandong University Climate Change and Health Center, School of Public Health, Shandong University, Jinan 250012, China
| | - Jun Wang
- State Key Laboratory of Infectious Diseases Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China; (X.L.); (R.Z.); (Z.Z.); (J.W.)
| | - Qinfeng Zhang
- School of Public Health and Health Management, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan 250117, China; (D.M.); (C.L.)
| | - Qiyong Liu
- State Key Laboratory of Infectious Diseases Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China; (X.L.); (R.Z.); (Z.Z.); (J.W.)
- Shandong University Climate Change and Health Center, School of Public Health, Shandong University, Jinan 250012, China
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Thurtell L, Rajaratnam R, Thomas P, Ballard G, Bayne P, Vernes K. Predictively modelling the distribution of the threatened brush-tailed rock-wallaby (. WILDLIFE RESEARCH 2021. [DOI: 10.1071/wr20141] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
Abstract Context Species Distribution Models (SDM) can be used to investigate and understand relationships between species occurrence and environmental variables, so as to predict potential distribution. These predictions can facilitate conservation actions and management decisions. Oxley Wild Rivers National Park (OWRNP) is regarded as an important stronghold for the threatened brush-tailed rock-wallaby (Petrogale penicillata), on the basis of the presence of the largest known metapopulation of the species. Adequate knowledge of the species’ ecology and distribution in OWRNP is a key objective in the national recovery plan for the species occurring in the Park. Aims To model distribution using key GIS-derived environmental factors for the brush-tailed rock-wallaby in OWRNP and to ground-truth its presence through field surveys in areas of high habitat suitability. Methods We used Maxent to model the distribution of the brush-tailed rock-wallaby within OWRNP on the basis of 282 occurrence records collected from an online database, elicitation of informal records from experts, helicopter surveys and historic records. Environmental variables used in the analysis were aspect, distance to water, elevation, geology type, slope and vegetation type. Key results Vegetation type (37.9%) was the highest contributing predictor of suitable habitat, whereas aspect (4.8%) contributed the least. The model produced an area under the curve (AUC) of the receiver operating characteristic (ROC) of 0.780. The model was able to discriminate between suitable and non-suitable habitat for brush-tailed rock-wallabies. Areas identified in our model as being highly suitable yielded eight new occurrence records during subsequent ground-truthing field surveys. Conclusions Brush-tailed rock-wallaby distribution in OWRNP is primarily associated with vegetation type, followed by distance to water, elevation, geology, slope and aspect. Field surveys indicated that the model was able to identify areas of high habitat suitability. Implications This model represents the first predicted distribution of brush-tailed rock-wallaby in OWRNP. By identifying areas of high habitat suitability, it can be used to survey and monitor the species in OWRNP, and, thus, contribute to its management and conservation within the Park.
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19
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Chiatante G. Spatial distribution of an assemblage of an endemic genus of birds: an example from Madagascar. Afr J Ecol 2021. [DOI: 10.1111/aje.12917] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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20
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Validating species distribution models to illuminate coastal fireflies in the South Pacific (Coleoptera: Lampyridae). Sci Rep 2021; 11:17397. [PMID: 34462462 PMCID: PMC8405826 DOI: 10.1038/s41598-021-96534-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2021] [Accepted: 08/10/2021] [Indexed: 11/11/2022] Open
Abstract
The coastal areas of Vanuatu are under a multitude of threats stemming from commercialization, human development, and climate change. Atyphella Olliff is a genus of firefly that includes species endemic to these coastal areas and will need protection. The research that has already been conducted was affected by accessibility due to the remote nature of the islands which left numerous knowledge gaps caused by a lack of distributional data (e.g., Wallacean shortfall). Species distribution models (SDM) are a powerful tool that allow for the modeling of the broader distribution of a taxon, even with limited distributional data available. SDMs assist in filling the knowledge gap by predicting potential areas that could contain the species of interest, making targeted collecting and conservation efforts more feasible when time, resources, and accessibility are major limiting factors. Here a MaxEnt prediction was used to direct field collecting and we now provide an updated predictive distribution for this endemic firefly genus. The original model was validated with additional fieldwork, ultimately expanding the known range with additional locations first identified using MaxEnt. A bias analysis was also conducted, providing insight into the effect that developments such as roads and settlements have on collecting and therefore the SDM, ultimately allowing for a more critical assessment of the overall model. After demonstrating the accuracy of the original model, this new updated SDM can be used to identify specific areas that will need to be the target of future conservation efforts by local government officials.
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21
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Bovo AAA, Ferraz KMPMDB, Ribeiro F, Lins LV, Barbosa MDO, Previdente FH, Disconzi GM, Sebaio F, Antas PDTZ, Guaraldo ADC, Resende A, Lagos AR, Barbosa AEA, Silveira LF. Remaining suitable areas for the critically endangered Brazilian Merganser (Mergus octosetaceus; Aves, Anseriformes) are threatened by hydroelectric power plants. Perspect Ecol Conserv 2021. [DOI: 10.1016/j.pecon.2021.04.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022] Open
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22
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Rahimi O, Ohana‐Levi N, Brauner H, Inbar N, Hübner S, Drori E. Demographic and ecogeographic factors limit wild grapevine spread at the southern edge of its distribution range. Ecol Evol 2021; 11:6657-6671. [PMID: 34141248 PMCID: PMC8207413 DOI: 10.1002/ece3.7519] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Revised: 03/03/2021] [Accepted: 03/15/2021] [Indexed: 11/13/2022] Open
Abstract
The spatial distribution of plants is constrained by demographic and ecogeographic factors that determine the range and abundance of the species. Wild grapevine (Vitis vinifera ssp. sylvestris) is distributed from Switzerland in the north to Israel in the south. However, little is known about the ecogeographic constraints of this species and its genetic and phenotypic characteristics, especially at the southern edge of its distribution range in the Levant region. In this study, we explore the population structure of southern Levantine wild grapevines and the correlation between demographic and ecogeographic characteristics. Based on our genetic analysis, the wild grapevine populations in this region can be divided into two major subgroups in accordance with a multivariate spatial and ecogeographical clustering model. The identified subpopulations also differ in morphological traits, mainly leaf hairiness which may imply adaptation to environmental stress. The findings suggest that the Upper Jordan River population was spread to the Sea of Galilee area and that a third smaller subpopulation at the south of the Golan Heights may represent a distinguished gene pool or a recent establishment of a new population. A spatial distribution model indicated that distance to water sources, Normalized difference vegetation index, and precipitation are the main environmental factors constraining V. v. sylvestris distribution at its southern distribution range. These factors in addition to limited gene flow between populations prevent further spread of wild grapevines southwards to semi-arid regions.
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Affiliation(s)
- Oshrit Rahimi
- Department of Chemical EngineeringAriel UniversityArielIsrael
| | | | - Hodaya Brauner
- The Samson Family Grape and Wine Research CenterEastern Regional R&D CenterArielIsrael
| | - Nimrod Inbar
- Department of Civil EngineeringAriel UniversityArielIsrael
- The Department of Geophysics and Space ScienceEastern Regional R&D CenterArielIsrael
| | - Sariel Hübner
- Galilee Research Institute (Migal)Tel‐Hai Academic CollegeUpper GalileeIsrael
| | - Elyashiv Drori
- Department of Chemical EngineeringAriel UniversityArielIsrael
- The Samson Family Grape and Wine Research CenterEastern Regional R&D CenterArielIsrael
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Sutton LJ, Anderson DL, Franco M, McClure CJW, Miranda EBP, Vargas FH, Vargas González JDJ, Puschendorf R. Geographic range estimates and environmental requirements for the harpy eagle derived from spatial models of current and past distribution. Ecol Evol 2021; 11:481-497. [PMID: 33437444 PMCID: PMC7790654 DOI: 10.1002/ece3.7068] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2020] [Revised: 10/07/2020] [Accepted: 11/10/2020] [Indexed: 01/08/2023] Open
Abstract
Understanding species-environment relationships is key to defining the spatial structure of species distributions and develop effective conservation plans. However, for many species, this baseline information does not exist. With reliable presence data, spatial models that predict geographic ranges and identify environmental processes regulating distribution are a cost-effective and rapid method to achieve this. Yet these spatial models are lacking for many rare and threatened species, particularly in tropical regions. The harpy eagle (Harpia harpyja) is a Neotropical forest raptor of conservation concern with a continental distribution across lowland tropical forests in Central and South America. Currently, the harpy eagle faces threats from habitat loss and persecution and is categorized as Near-Threatened by the International Union for the Conservation of Nature (IUCN). Within a point process modeling (PPM) framework, we use presence-only occurrences with climatic and topographical predictors to estimate current and past distributions and define environmental requirements using Ecological Niche Factor Analysis. The current PPM prediction had high calibration accuracy (Continuous Boyce Index = 0.838) and was robust to null expectations (pROC ratio = 1.407). Three predictors contributed 96% to the PPM prediction, with Climatic Moisture Index the most important (72.1%), followed by minimum temperature of the warmest month (15.6%) and Terrain Roughness Index (8.3%). Assessing distribution in environmental space confirmed the same predictors explaining distribution, along with precipitation in the wettest month. Our reclassified binary model estimated a current range size 11% smaller than the current IUCN range polygon. Paleoclimatic projections combined with the current model predicted stable climatic refugia in the central Amazon, Guyana, eastern Colombia, and Panama. We propose a data-driven geographic range to complement the current IUCN range estimate and that despite its continental distribution, this tropical forest raptor is highly specialized to specific environmental requirements.
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Affiliation(s)
- Luke J. Sutton
- School of Biological and Marine SciencesUniversity of PlymouthPlymouthUK
- The Peregrine FundBoiseIDUSA
| | | | - Miguel Franco
- School of Biological and Marine SciencesUniversity of PlymouthPlymouthUK
| | | | | | | | | | - Robert Puschendorf
- School of Biological and Marine SciencesUniversity of PlymouthPlymouthUK
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Baines M, Weir CR. Predicting suitable coastal habitat for sei whales, southern right whales and dolphins around the Falkland Islands. PLoS One 2020; 15:e0244068. [PMID: 33362235 PMCID: PMC7757899 DOI: 10.1371/journal.pone.0244068] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2020] [Accepted: 12/02/2020] [Indexed: 11/25/2022] Open
Abstract
Species distribution models (SDMs) are valuable tools for describing the occurrence of species and predicting suitable habitats. This study used generalized additive models (GAMs) and MaxEnt models to predict the relative densities of four cetacean species (sei whale Balaeanoptera borealis, southern right whale Eubalaena australis, Peale’s dolphin Lagenorhynchus australis, and Commerson’s dolphin Cephalorhynchus commersonii) in neritic waters (≤100 m depth) around the Falkland Islands, using boat survey data collected over three seasons (2017–2019). The model predictor variables (PVs) included remotely sensed environmental variables (sea surface temperature, SST, and chlorophyll-a concentration) and static geographical variables (e.g. water depth, distance to shore, slope). The GAM results explained 35 to 41% of the total deviance for sei whale, combined sei whales and unidentified large baleen whales, and Commerson’s dolphins, but only 17% of the deviance for Peale’s dolphins. The MaxEnt models for all species had low to moderate discriminatory power. The relative density of sei whales increased with SST in both models, and their predicted distribution was widespread across the inner shelf which is consistent with the use of Falklands’ waters as a coastal summer feeding ground. Peale’s dolphins and Commerson’s dolphins were largely sympatric across the study area. However, the relative densities of Commerson’s dolphins were generally predicted to be higher in nearshore, semi-enclosed, waters compared with Peale’s dolphins, suggesting some habitat partitioning. The models for southern right whales performed poorly and the results were not considered meaningful, perhaps due to this species exhibiting fewer strong habitat preferences around the Falklands. The modelling results are applicable to marine spatial planning to identify where the occurrence of cetacean species and anthropogenic activities may most overlap. Additionally, the results can inform the process of delineating a potential Key Biodiversity Area for sei whales in the Falkland Islands.
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Affiliation(s)
| | - Caroline R. Weir
- Falklands Conservation, Jubilee Villas, Stanley, Falkland Islands
- * E-mail:
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25
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Assessment of endemic northern swamp deer (Rucervus duvaucelii duvaucelii) distribution and identification of priority conservation areas through modeling and field surveys across north India. Glob Ecol Conserv 2020. [DOI: 10.1016/j.gecco.2020.e01263] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
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26
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Yousefi M, Kafash A, Khani A, Nabati N. Applying species distribution models in public health research by predicting snakebite risk using venomous snakes' habitat suitability as an indicating factor. Sci Rep 2020; 10:18073. [PMID: 33093515 PMCID: PMC7582189 DOI: 10.1038/s41598-020-74682-w] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2020] [Accepted: 10/05/2020] [Indexed: 12/29/2022] Open
Abstract
Snakebite envenoming is an important public health problem in Iran, despite its risk not being quantified. This study aims to use venomous snakes' habitat suitability as an indicator of snakebite risk, to identify high-priority areas for snakebite management across the country. Thus, an ensemble approach using five distribution modelling methods: Generalized Boosted Models, Generalized Additive Models, Maximum Entropy Modelling, Generalized Linear Models, and Random Forest was applied to produce a spatial snakebite risk model for Iran. To achieve this, four venomous snakes' habitat suitability (Macrovipera lebetinus, Echis carinatus, Pseudocerastes persicus and Naja oxiana) were modelled and then multiplied. These medically important snakes are responsible for the most snakebite incidents in Iran. Multiplying habitat suitability models of the four snakes showed that the northeast of Iran (west of Khorasan-e-Razavi province) has the highest snakebite risk in the country. In addition, villages that were at risk of envenoming from the four snakes were identified. Results revealed that 51,112 villages are at risk of envenoming from M. lebetinus, 30,339 from E. carinatus, 51,657 from P. persicus and 12,124 from N. oxiana. Precipitation seasonality was identified as the most important variable influencing distribution of the P. persicus, E. carinatus and M. lebetinus in Iran. Precipitation of the driest quarter was the most important predictor of suitable habitats of the N. oxiana. Since climatic variables play an important role in shaping the distribution of the four venomous snakes in Iran, thus their distribution may alter with changing climate. This paper demonstrates application of species distribution modelling in public health research and identified potential snakebite risk areas in Iran by using venomous snakes' habitat suitability models as an indicating factor. Results of this study can be used in snakebite and human-snake conflict management in Iran. We recommend increasing public awareness of snakebite envenoming and education of local people in areas which identified with the highest snakebite risk.
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Affiliation(s)
- Masoud Yousefi
- Department of Environmental Science, Faculty of Natural Resources, University of Tehran, Karaj, Iran
| | - Anooshe Kafash
- Department of Environmental Science, Faculty of Natural Resources, University of Tehran, Karaj, Iran.
| | - Ali Khani
- Khorasan-e-Razavi Provincial Office of the Department of the Environment, Mashhad, Iran
| | - Nima Nabati
- Shahid Sadoughi Hospital, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
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Chiffard J, Marciau C, Yoccoz NG, Mouillot F, Duchateau S, Nadeau I, Fontanilles P, Besnard A. Adaptive niche‐based sampling to improve ability to find rare and elusive species: Simulations and field tests. Methods Ecol Evol 2020. [DOI: 10.1111/2041-210x.13399] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Affiliation(s)
- Jules Chiffard
- EPHE PSL Research UniversityCNRSUMSupAgroIRDINRAUMR 5175 CEFE Montpellier France
| | - Coline Marciau
- EPHE PSL Research UniversityCNRSUMSupAgroIRDINRAUMR 5175 CEFE Montpellier France
| | - Nigel Gilles Yoccoz
- Department of Arctic and Marine Biology UiT The Arctic University of Norway Tromsø Norway
| | - Florent Mouillot
- Institut de Recherche pour le Développement (IRD) UMR CEFE 5175 CNRSUniversité MontpellierUniversité Paul Valery MontpellierEPHE Montpellier Cedex 5 France
| | | | - Iris Nadeau
- EPHE PSL Research UniversityCNRSUMSupAgroIRDINRAUMR 5175 CEFE Montpellier France
| | | | - Aurélien Besnard
- EPHE PSL Research UniversityCNRSUMSupAgroIRDINRAUMR 5175 CEFE Montpellier France
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28
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Hines E, Ponnampalam LS, Junchompoo C, Peter C, Vu L, Huynh T, Caillat M, Johnson AF, Minton G, Lewison RL, Verutes GM. Getting to the bottom of bycatch: a GIS-based toolbox to assess the risk of marine mammal bycatch. ENDANGER SPECIES RES 2020. [DOI: 10.3354/esr01037] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
Marine mammal bycatch poses a particular challenge in developing countries, where data to document bycatch and its effects are often lacking. Using the Bycatch Risk Assessment (ByRA) toolkit, based on InVEST open-source models, we chose 4 field sites in Southeast Asia with varying amounts of data on marine mammals and fishing occurrence: Trat province in the eastern Gulf of Thailand, the Sibu-Tinggi Islands and Kuching Bay, Malaysia, and Kien Giang Biosphere Reserve in southwestern Vietnam. These field sites have similar species of coastal marine mammals, small-scale and commercial fisheries, and support for research from universities and/or management. In Thailand and Kuching, results showed changing patterns of fishing and Irrawaddy dolphin Orcaella brevirostris habitat use across seasons, showing how bycatch risk could change throughout the year. Risk maps for dugongs Dugong dugon in peninsular Malaysia highlighted patterns of bycatch risk concentrated around a mainland fishing pier, and revealed high risk in a northern subregion. In Vietnam, first maps of bycatch risk for the Irrawaddy dolphin showed the highest risk driven by intensive use of gillnets and trawling gear. ByRA pinpointed areas of spatial and seasonal bycatch exposure, and estimated the consequence of bycatch on local species, providing managers with critical information on where to focus bycatch mitigation and meet new global standards for US Marine Mammal Protection Act and other international regulation (e.g. Official Journal of the European Union 2019; Regulation 2019/1241) compliance. The toolbox, a transferable open-source tool, can be used to guide fisheries management, marine mammal conservation, spatial planning, and further research.
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Affiliation(s)
- E Hines
- Estuary & Ocean Science Center, and Department of Geography & Environment, San Francisco State University, Tiburon, CA 94920, USA
| | - LS Ponnampalam
- The MareCet Research Organization, 5, Jalan USJ 12/1B 47630 Subang Jaya, Selangor, Malaysia
| | - C Junchompoo
- Department of Marine and Coastal Resources, Ministry of Natural Resources and Environment, Chaeng Watthana Road, Lak Si District, Bangkok 10210, Thailand
| | - C Peter
- Universiti Malaysia Sarawak, Jalan Datuk Mohammad Musa, 94300 Kota Samarahan, Sarawak, Malaysia
| | - L Vu
- Vietnam Marine Megafauna Network, Center for Biodiversity Conservation and Endangered Species, 24, Street No 13, Lakeview City, Ho Chi Minh City, Vietnam
| | - T Huynh
- Southern Institute of Ecology, Vietnam Academy of Science and Technology, 01 Mac Dinh Chi, Ben Nghe, District 1, Ho Chi Minh City, Vietnam
- Graduate School of Natural Science and Technology, Kanazawa University, Kakumamachi, Kanazawa, Ishikawa 920-1164, Japan
| | - M Caillat
- Environmental Defense Fund, San Francisco, CA 94105, USA
| | - AF Johnson
- MarFishEco Fisheries Consultants, 67/6 Brunswick Street, Edinburgh EH7 5HT, UK
- The Lyell Centre, Institute of Life and Earth Sciences, School of Energy, Geoscience, Infrastructure and Society, Heriot-Watt University, Edinburgh, EH14 4AS, UK
| | - G Minton
- Megaptera Marine Conservation, Laan van Rhemen van Rhemenshuizen 14, 2242 PT Wassenaar, The Netherlands
| | - RL Lewison
- Department of Biology, San Diego State University, CA 92182, USA
| | - GM Verutes
- Faculty of Political and Social Sciences, Universidade de Santiago de Compostela, Praza do Obradoiro, 0, 15705 Santiago de Compostela, A Coruña, Spain
- Campus Do*Mar, International Campus of Excellence, 36310 Vigo, Spain
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Peach DAH, Matthews BJ. Modeling the Putative Ancient Distribution of Aedes togoi (Diptera: Culicidae). JOURNAL OF INSECT SCIENCE (ONLINE) 2020; 20:5843908. [PMID: 32451527 PMCID: PMC7248266 DOI: 10.1093/jisesa/ieaa035] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/12/2020] [Indexed: 05/17/2023]
Abstract
The coastal rock pool mosquito, Aedes (Tanakius) togoi (Theobald) (Diptera: Culicidae), is found in coastal east Asia in climates ranging from subtropical to subarctic. However, a disjunct population in the Pacific Northwest of North America has an ambiguous heritage. Two potential models explain the presence of Ae. togoi in North America: ancient Beringian dispersal or modern anthropogenic introduction. Genetic studies have thus far proved inconclusive. Here we described the putative ancient distribution of Ae. togoi habitat in east Asia and examined the climatic feasibility of a Beringian introduction into North America using modern distribution records and ecological niche modeling of bioclimatic data from the last interglacial period (~120,000 BP), the last glacial maximum (~21,000 BP), and the mid-Holocene (~6000 BP). Our results suggest that suitable climatic conditions existed for Ae. togoi to arrive in North America through natural dispersal as well as to persist there until present times. Furthermore, we find that ancient distributions of suitable Ae. togoi habitat in east Asia may explain the genetic relationships between Ae. togoi populations identified in other studies. These findings indicate the utility of ecological niche modeling as a complementary tool for studying insect phylogeography.
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Affiliation(s)
- Daniel A H Peach
- Department of Zoology, University of British Columbia, Vancouver, BC, Canada
- Corresponding author, e-mail:
| | - Benjamin J Matthews
- Department of Zoology, University of British Columbia, Vancouver, BC, Canada
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Farashi A, Alizadeh-Noughani M. Conservation of Pleske's Racerunner (Eremias pleskei) in a Changing Climate. ANN ZOOL FENN 2019. [DOI: 10.5735/086.056.0109] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Affiliation(s)
- Azita Farashi
- Department of Environmental Sciences, Faculty of Natural Resource and Environment, Ferdowsi University of Mashhad, Iran
| | - Mohammad Alizadeh-Noughani
- Department of Environmental Sciences, Faculty of Natural Resource and Environment, Ferdowsi University of Mashhad, Iran
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Yu W, Wardrop NA, Bain RES, Alegana V, Graham LJ, Wright JA. Mapping access to domestic water supplies from incomplete data in developing countries: An illustrative assessment for Kenya. PLoS One 2019; 14:e0216923. [PMID: 31100084 PMCID: PMC6524943 DOI: 10.1371/journal.pone.0216923] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2018] [Accepted: 05/01/2019] [Indexed: 11/18/2022] Open
Abstract
Water point mapping databases, generated through surveys of water sources such as wells and boreholes, are now available in many low and middle income countries, but often suffer from incomplete coverage. To address the partial coverage in such databases and gain insights into spatial patterns of water resource use, this study investigated the use of a maximum entropy (MaxEnt) approach to predict the geospatial distribution of drinking-water sources, using two types of unimproved sources in Kenya as illustration. Geographic locations of unprotected dug wells and surface water sources derived from the Water Point Data Exchange (WPDx) database were used as inputs to the MaxEnt model alongside geological/hydrogeological and socio-economic covariates. Predictive performance of the MaxEnt models was high (all > 0.9) based on Area Under the Receiver Operator Curve (AUC), and the predicted spatial distribution of water point was broadly consistent with household use of these unimproved drinking-water sources reported in household survey and census data. In developing countries where geospatial datasets concerning drinking-water sources often have necessarily limited resolution or incomplete spatial coverage, the modelled surface can provide an initial indication of the geography of unimproved drinking-water sources to target unserved populations and assess water source vulnerability to contamination and hazards.
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Affiliation(s)
- Weiyu Yu
- University of Southampton, Southampton, Hampshire, United Kingdom
- * E-mail:
| | | | - Robert E. S. Bain
- Division of Data, Research and Policy, United Nations Children's Fund (UNICEF), New York, New York, United States of America
| | - Victor Alegana
- University of Southampton, Southampton, Hampshire, United Kingdom
- Population Health Unit, Kenya Medical Research Institute—Wellcome Trust Research Programme, Nairobi, Kenya
| | - Laura J. Graham
- University of Southampton, Southampton, Hampshire, United Kingdom
| | - Jim A. Wright
- University of Southampton, Southampton, Hampshire, United Kingdom
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Fois M, Cuena-Lombraña A, Fenu G, Bacchetta G. Using species distribution models at local scale to guide the search of poorly known species: Review, methodological issues and future directions. Ecol Modell 2018. [DOI: 10.1016/j.ecolmodel.2018.07.018] [Citation(s) in RCA: 96] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
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Riddell EA, Odom JP, Damm JD, Sears MW. Plasticity reveals hidden resistance to extinction under climate change in the global hotspot of salamander diversity. SCIENCE ADVANCES 2018; 4:eaar5471. [PMID: 30014037 PMCID: PMC6047487 DOI: 10.1126/sciadv.aar5471] [Citation(s) in RCA: 50] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/21/2017] [Accepted: 05/30/2018] [Indexed: 05/21/2023]
Abstract
Extinction rates are predicted to rise exponentially under climate warming, but many of these predictions ignore physiological and behavioral plasticity that might buffer species from extinction. We evaluated the potential for physiological acclimatization and behavioral avoidance of poor climatic conditions to lower extinction risk under climate change in the global hotspot of salamander diversity, a region currently predicted to lose most of the salamander habitat due to warming. Our approach integrated experimental physiology and behavior into a mechanistic species distribution model to predict extinction risk based on an individual's capacity to maintain energy balance with and without plasticity. We assessed the sensitivity of extinction risk to body size, behavioral strategies, limitations on energy intake, and physiological acclimatization of water loss and metabolic rate. The field and laboratory experiments indicated that salamanders readily acclimatize water loss rates and metabolic rates in ways that could maintain positive energy balance. Projections with plasticity reduced extinction risk by 72% under climate warming, especially in the core of their range. Further analyses revealed that juveniles might experience the greatest physiological stress under climate warming, but we identified specific physiological adaptations or plastic responses that could minimize the lethal physiological stress imposed on juveniles. We conclude that incorporating plasticity fundamentally alters ecological predictions under climate change by reducing extinction risk in the hotspot of salamander diversity.
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Affiliation(s)
| | - Jonathan P. Odom
- Department of Biological Sciences, Clemson University, Clemson, SC 29631, USA
| | - Jason D. Damm
- Department of Biological Sciences, Clemson University, Clemson, SC 29631, USA
| | - Michael W. Sears
- Department of Biological Sciences, Clemson University, Clemson, SC 29631, USA
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Percequillo AR, Dalapicolla J, Abreu-Júnior EF, Roth PRO, Ferraz KM, Chiquito EA. How many species of mammals are there in Brazil? New records of rare rodents (Rodentia: Cricetidae: Sigmodontinae) from Amazonia raise the current known diversity. PeerJ 2017; 5:e4071. [PMID: 29259840 PMCID: PMC5733914 DOI: 10.7717/peerj.4071] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2017] [Accepted: 10/30/2017] [Indexed: 11/20/2022] Open
Abstract
BACKGROUND Since 1996, when Vivo questioned how many species of mammals occur in Brazil, there has been a huge effort to assess this biodiversity. In this contribution, we present new records for rare species of the sigmodontine rodent genera Rhagomys and Neusticomys previously unknown to Brazilian Amazon. We provided detailed information on the morphologic variation to allow the proper identification of these species. We also furnished updated information on their collection, aiming to establish hypothesis of their geographic distribution, based on SDM's, aiming to hypothesize potential occurrence areas for these species. METHODS Rodent specimens were sampled in separate inventories in two sites of Rondônia State (Hydroelectric Dam Jirau and Parque Nacional de Pacaás Novos) and one site in Pará State (Pacajá), Brazil, and were compared to specimens from museum collections to apply appropriate names. The SDM were conducted using two algorithms for rare species, MaxEnt and randomForest (RF), and were based on seven localities for Rhagomys, and 10 for Neusticomys. RESULTS All specimens were collected with pitfall traps. One specimen of genus Rhagomys was trapped in the Hydroelectric Dam Jirau. We identified this specimen as R. longilingua, and the SDM species indicates suitable areas for its occurrence at high elevations near on the Andes and lowlands of Amazon Basin to the South of the Rio Amazonas. Two specimens of Neusticomys were recorded, and we identified the specimen from Pacaás Novos as N. peruviensis, with SDM suggesting main areas of occurrence on Western Amazon. We applied the name N. ferreirai to the specimen from Pacajá, with SDM recovering suitable areas in Eastern Amazon. DISCUSSION We reinforced the importance of pitfall traps on the study of Neotropical rodents. We described morphologic variation within and among all species that do not invalidate their specific status, but in the near future a re-evaluation will be mandatory. The new records extended the species distribution considerably. SDM was successful to predict their distributions, as the two algorithms presented important differences in range size recovered by the models that can be explained by differences in the thresholds used for the construction of the models. Most suitable areas coincide with the areas facing most of the deforestation in Amazon. We added two rare species of sigmodontine rodents to the list of Brazilian Mammals, which now comprises 722 species (or 775 valid nominal taxa). Although more information is available than in 1996, it is essential that mammal experts maintain inventory and revisionary programs to update and revise this information. This is even more important, as changes in Brazilian environmental legislation are being discussed, suggesting reduced need for environmental impact reports prior to beginning commercial enterprises, resulting in the loss of information about native biodiversity in the affected areas.
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Affiliation(s)
- Alexandre R. Percequillo
- Departamento de Ciências Biológicas, Escola Superior de Agricultura “Luiz de Queiroz”, Universidade de São Paulo, Piracicaba, São Paulo, Brazil
- Department of Life Sciences, The Natural History Museum, London, United Kingdon
| | - Jeronymo Dalapicolla
- Departamento de Ciências Biológicas, Escola Superior de Agricultura “Luiz de Queiroz”, Universidade de São Paulo, Piracicaba, São Paulo, Brazil
- Department of Ecology and Evolutionary Biology, Museum of Zoology, University of Michigan, Ann Arbor, MI, United States of America
| | - Edson F. Abreu-Júnior
- Departamento de Ciências Biológicas, Escola Superior de Agricultura “Luiz de Queiroz”, Universidade de São Paulo, Piracicaba, São Paulo, Brazil
| | - Paulo Ricardo O. Roth
- Departamento de Ciências Biológicas, Escola Superior de Agricultura “Luiz de Queiroz”, Universidade de São Paulo, Piracicaba, São Paulo, Brazil
| | - Katia M.P.M.B. Ferraz
- Departamento de Ciências Florestais, Escola Superior de Agricultura “Luiz de Queiroz”, Universidade de São Paulo, Piracicaba, São Paulo, Brazil
| | - Elisandra A. Chiquito
- Departamento de Ciências Biológicas, Escola Superior de Agricultura “Luiz de Queiroz”, Universidade de São Paulo, Piracicaba, São Paulo, Brazil
- Departamento de Ciências Biológicas, Centro de Ciências Humanas e Naturais, Universidade Federal do Espírito Santo, Vitória, Espírito Santo, Brazil
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Appling the One-Class Classification Method of Maxent to Detect an Invasive Plant Spartina alterniflora with Time-Series Analysis. REMOTE SENSING 2017. [DOI: 10.3390/rs9111120] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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