Sarah M Herbert, Stephanie A Tomscha, Hao Ran Lai, Rubianca Benavidez, Colan G Balkwill, Pearl R Ruston, Bethanna Jackson, Julie R Deslippe
{"title":"确定潜在的合适和可接近的避难所,以减轻一种新出现的疾病对一种稀有树木的影响。","authors":"Sarah M Herbert, Stephanie A Tomscha, Hao Ran Lai, Rubianca Benavidez, Colan G Balkwill, Pearl R Ruston, Bethanna Jackson, Julie R Deslippe","doi":"10.1111/cobi.70088","DOIUrl":null,"url":null,"abstract":"<p><p>Identifying refugia from emerging threats is vital to ensure the persistence of rare and threatened species, but modeling habitat distribution for these species is challenging and the role of people in refuge management is rarely considered. Myrtle rust is an emerging infectious disease that represents a grave threat to the rare wetland tree species maire tawake (Syzygium maire) in Aotearoa New Zealand. We combined high-resolution hydrological modeling with integrated species distribution modeling of new and existing S. maire records to identify the extent of habitat in the capital city region available for conservation management. We mapped 2 myrtle rust infection risk scenarios throughout the region to identify areas of relatively low disease risk and used distance of S. maire habitat to the nearest road as a proxy for human accessibility to the area. We identified 1230 km<sup>2</sup> of S. maire habitat (waterlogged areas) in the region. In these areas, 1-52 km<sup>2</sup> were the most feasible for conservation because they were predicted to support high relative abundances of S. maire, were accessible by road, and offered lower disease risk. However, protecting trees only in low-risk or accessible refugia was predicted by the species distribution model (SDM) to be insufficient to maintain the regional population as the myrtle rust pandemic proceeds. Our highly local approach to refugia modeling enabled rapid collection of new records of a rare species for species distribution modeling and access to high-resolution topographical data for hydrological modeling. However, limitations to understanding the biophysical limits of myrtle rust and S. maire included model-based constraints on inference, poor spatial precision of historical species records, insufficient information on groundwater drainage, and uncertainty in quantifying disease risk. The success of regional conservation efforts for this species will likely depend on human intervention to increase S. maire occupancy in low-risk habitats and to manage myrtle rust. We therefore recommend leveraging human-nature interactions in areas to create, expand, and protect habitat for rare species in a rapidly changing world.</p>","PeriodicalId":10689,"journal":{"name":"Conservation Biology","volume":" ","pages":"e70088"},"PeriodicalIF":5.2000,"publicationDate":"2025-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Identifying potentially suitable and accessible refugia to mitigate impacts of an emerging disease on a rare tree.\",\"authors\":\"Sarah M Herbert, Stephanie A Tomscha, Hao Ran Lai, Rubianca Benavidez, Colan G Balkwill, Pearl R Ruston, Bethanna Jackson, Julie R Deslippe\",\"doi\":\"10.1111/cobi.70088\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Identifying refugia from emerging threats is vital to ensure the persistence of rare and threatened species, but modeling habitat distribution for these species is challenging and the role of people in refuge management is rarely considered. Myrtle rust is an emerging infectious disease that represents a grave threat to the rare wetland tree species maire tawake (Syzygium maire) in Aotearoa New Zealand. We combined high-resolution hydrological modeling with integrated species distribution modeling of new and existing S. maire records to identify the extent of habitat in the capital city region available for conservation management. We mapped 2 myrtle rust infection risk scenarios throughout the region to identify areas of relatively low disease risk and used distance of S. maire habitat to the nearest road as a proxy for human accessibility to the area. We identified 1230 km<sup>2</sup> of S. maire habitat (waterlogged areas) in the region. In these areas, 1-52 km<sup>2</sup> were the most feasible for conservation because they were predicted to support high relative abundances of S. maire, were accessible by road, and offered lower disease risk. However, protecting trees only in low-risk or accessible refugia was predicted by the species distribution model (SDM) to be insufficient to maintain the regional population as the myrtle rust pandemic proceeds. Our highly local approach to refugia modeling enabled rapid collection of new records of a rare species for species distribution modeling and access to high-resolution topographical data for hydrological modeling. However, limitations to understanding the biophysical limits of myrtle rust and S. maire included model-based constraints on inference, poor spatial precision of historical species records, insufficient information on groundwater drainage, and uncertainty in quantifying disease risk. The success of regional conservation efforts for this species will likely depend on human intervention to increase S. maire occupancy in low-risk habitats and to manage myrtle rust. We therefore recommend leveraging human-nature interactions in areas to create, expand, and protect habitat for rare species in a rapidly changing world.</p>\",\"PeriodicalId\":10689,\"journal\":{\"name\":\"Conservation Biology\",\"volume\":\" \",\"pages\":\"e70088\"},\"PeriodicalIF\":5.2000,\"publicationDate\":\"2025-06-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Conservation Biology\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://doi.org/10.1111/cobi.70088\",\"RegionNum\":1,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"BIODIVERSITY CONSERVATION\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Conservation Biology","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.1111/cobi.70088","RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIODIVERSITY CONSERVATION","Score":null,"Total":0}
Identifying potentially suitable and accessible refugia to mitigate impacts of an emerging disease on a rare tree.
Identifying refugia from emerging threats is vital to ensure the persistence of rare and threatened species, but modeling habitat distribution for these species is challenging and the role of people in refuge management is rarely considered. Myrtle rust is an emerging infectious disease that represents a grave threat to the rare wetland tree species maire tawake (Syzygium maire) in Aotearoa New Zealand. We combined high-resolution hydrological modeling with integrated species distribution modeling of new and existing S. maire records to identify the extent of habitat in the capital city region available for conservation management. We mapped 2 myrtle rust infection risk scenarios throughout the region to identify areas of relatively low disease risk and used distance of S. maire habitat to the nearest road as a proxy for human accessibility to the area. We identified 1230 km2 of S. maire habitat (waterlogged areas) in the region. In these areas, 1-52 km2 were the most feasible for conservation because they were predicted to support high relative abundances of S. maire, were accessible by road, and offered lower disease risk. However, protecting trees only in low-risk or accessible refugia was predicted by the species distribution model (SDM) to be insufficient to maintain the regional population as the myrtle rust pandemic proceeds. Our highly local approach to refugia modeling enabled rapid collection of new records of a rare species for species distribution modeling and access to high-resolution topographical data for hydrological modeling. However, limitations to understanding the biophysical limits of myrtle rust and S. maire included model-based constraints on inference, poor spatial precision of historical species records, insufficient information on groundwater drainage, and uncertainty in quantifying disease risk. The success of regional conservation efforts for this species will likely depend on human intervention to increase S. maire occupancy in low-risk habitats and to manage myrtle rust. We therefore recommend leveraging human-nature interactions in areas to create, expand, and protect habitat for rare species in a rapidly changing world.
期刊介绍:
Conservation Biology welcomes submissions that address the science and practice of conserving Earth's biological diversity. We encourage submissions that emphasize issues germane to any of Earth''s ecosystems or geographic regions and that apply diverse approaches to analyses and problem solving. Nevertheless, manuscripts with relevance to conservation that transcend the particular ecosystem, species, or situation described will be prioritized for publication.