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经后报验证的物种分布模型揭示了红树林和盐沼物种未来的脆弱性。

Hindcast-validated species distribution models reveal future vulnerabilities of mangroves and salt marsh species.

作者信息

Hodel Richard G J, Soltis Douglas E, Soltis Pamela S

机构信息

Department of Botany National Museum of Natural History Washington DC USA.

Department of Biology University of Florida Gainesville Florida USA.

出版信息

Ecol Evol. 2022 Sep 19;12(9):e9252. doi: 10.1002/ece3.9252. eCollection 2022 Sep.

Abstract

Rapid climate change is threatening biodiversity via habitat loss, range shifts, increases in invasive species, novel species interactions, and other unforeseen changes. Coastal and estuarine species are especially vulnerable to the impacts of climate change due to sea level rise and may be severely impacted in the next several decades. Species distribution modeling can project the potential future distributions of species under scenarios of climate change using bioclimatic data and georeferenced occurrence data. However, models projecting suitable habitat into the future are impossible to ground truth. One solution is to develop species distribution models for the present and project them to periods in the recent past where distributions are known to test model performance before making projections into the future. Here, we develop models using abiotic environmental variables to quantify the current suitable habitat available to eight Neotropical coastal species: four mangrove species and four salt marsh species. Using a novel model validation approach that leverages newly available monthly climatic data from 1960 to 2018, we project these niche models into two time periods in the recent past (i.e., within the past half century) when either mangrove or salt marsh dominance was documented via other data sources. Models were hindcast-validated and then used to project the suitable habitat of all species at four time periods in the future under a model of climate change. For all future time periods, the projected suitable habitat of mangrove species decreased, and suitable habitat declined more severely in salt marsh species.

摘要

快速的气候变化正通过栖息地丧失、分布范围变化、入侵物种增加、新的物种相互作用以及其他不可预见的变化威胁着生物多样性。由于海平面上升,沿海和河口物种尤其容易受到气候变化的影响,并且在未来几十年可能会受到严重影响。物种分布模型可以利用生物气候数据和地理参考出现数据,预测气候变化情景下物种未来的潜在分布。然而,预测未来适宜栖息地的模型无法进行实地验证。一种解决方案是开发当前的物种分布模型,并将其投影到已知分布的最近过去的时间段,以便在对未来进行预测之前测试模型性能。在这里,我们使用非生物环境变量开发模型,以量化八种新热带沿海物种(四种红树林物种和四种盐沼物种)当前可利用的适宜栖息地。我们采用一种新颖的模型验证方法,该方法利用了1960年至2018年新获得的月度气候数据,将这些生态位模型投影到最近过去的两个时间段(即过去半个世纪内),当时通过其他数据源记录了红树林或盐沼的优势地位。对模型进行后向验证,然后用于在气候变化模型下预测未来四个时间段所有物种的适宜栖息地。对于所有未来时间段,红树林物种预测的适宜栖息地减少,盐沼物种的适宜栖息地下降更为严重。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0cf/9484403/2f9d880b932b/ECE3-12-e9252-g003.jpg

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