利用高时空分辨率天气数据模拟树突壶菌的存在和强度

IF 4.2 2区 环境科学与生态学 Q1 BIODIVERSITY CONSERVATION
Carrie H. R. Lewis, Yiwen Mei, Jamie Voyles, Corinne L. Richards-Zawacki, Abel Batista, Lisa K. Belden, Angie Estrada, Andreas Hertz, Myra C. Hughey, Daniel Medina, Eria A. Rebollar, Douglas C. Woodhams, Eric E. Flores, Jorge Guerrel, Estefany Illueca, Roberto Ibáñez, Paul Houser, Brian Gratwicke
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引用次数: 0

摘要

目的物种分布模型(SDMs)是保护工作的重要工具,当使用高质量的预测和响应数据构建时,可以用于确定物种范围的部分区域,这些区域可以作为受环境条件影响的风险的避难所,例如病原体。水蛭壶菌(Batrachochytrium dendroatidis, Bd)是一种真菌病原体,可引起两栖动物的致命疾病,但对温度和湿度等环境因素也很敏感。利用高时空分辨率环境数据建立的SDMs可以帮助识别两栖动物的环境避难所。在本研究中,我们创建了自己的高分辨率遥感环境数据集,并使用高质量的存在/缺失调查数据来构建新的巴拿马Bd sdm。位置 巴拿马。两栖壶菌Bd与两栖动物群落。方法:我们使用Bd检测前不同时间段的环境值(滞后2、7、15、30天)和来自调查拭子的Bd感染强度水平(当前、中等强度、高强度)运行多个增强回归树来模拟Bd的环境适应性并评估其性能。结果检测前15天是对巴拿马Bd环境适宜性最具预测性的时间段。此外,我们发现我们不仅可以模拟病原体本身的分布,还可以辨别出通常与疾病爆发相关的高感染强度的独特空间和时间模式。我们创建了2005年至2018年巴拿马Bd发生概率和中高感染强度的每日预测图,并按季节平均。高海拔地区对Bd的环境适宜性越高,这与以往野外研究中发现的规律一致,也符合Bd的生理需求。这些地图的高时空分辨率为探索特定地点Bd强度的时间模式提供了独特的见解,并为两栖动物的重新引入工作和孑遗种群调查确定了Bd的环境避难所。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Modelling Batrachochytrium dendrobatidis Presence and Intensity Using High Spatial and Temporal Resolution Weather Data

Modelling Batrachochytrium dendrobatidis Presence and Intensity Using High Spatial and Temporal Resolution Weather Data

Aim

Species distribution models (SDMs) are an important tool for conservation efforts, and when constructed using high-quality predictor and response data could be useful for identifying portions of a species' range that could serve as refugia from risks that are influenced by environmental conditions, such as pathogens. Batrachochytrium dendrobatidis (Bd) is a fungal pathogen that causes lethal disease in amphibians but is also sensitive to environmental factors including temperature and humidity. SDMs built using high spatial and temporal resolution environmental data may be able to help identify environmental refugia from Bd for amphibians. In this study, we create our own high-resolution remotely sensed environmental dataset and use high-quality presence/absence survey data to build new Bd SDMs of Panama.

Location

Panama.

Taxa

The amphibian chytrid fungus Bd and amphibian communities.

Methods

We used environmental values from various time periods prior to Bd testing (lag of 2, 7, 15, 30 days) and levels of Bd infection intensity from survey swabs (present, medium intensity, high intensity) to run multiple Boosted Regression Trees to model environmental suitability for Bd and evaluated their performance.

Results

Our results indicated that the 15-day period prior to testing was the most predictive time-period for Bd environmental suitability in Panama. Additionally, we found that we could not only model the distribution of the pathogen itself but discern unique spatial and temporal patterns of high infection intensities often associated with disease outbreaks. We created daily predictive maps of the probability of Bd occurrence and of medium and high infection intensities in Panama from 2005 to 2018 and averaged them by season.

Main Conclusions

Higher environmental suitability for Bd tended to be found at higher elevations, a pattern observed in previous Bd field studies and consistent with Bd's physiological requirements. The high temporal and spatial resolution of these maps gives a unique insight into exploring temporal patterns of Bd intensity in specific locations and to identify environmental refugia from Bd for amphibian reintroduction efforts and surveys for relict populations.

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来源期刊
Diversity and Distributions
Diversity and Distributions 环境科学-生态学
CiteScore
8.90
自引率
4.30%
发文量
195
审稿时长
8-16 weeks
期刊介绍: Diversity and Distributions is a journal of conservation biogeography. We publish papers that deal with the application of biogeographical principles, theories, and analyses (being those concerned with the distributional dynamics of taxa and assemblages) to problems concerning the conservation of biodiversity. We no longer consider papers the sole aim of which is to describe or analyze patterns of biodiversity or to elucidate processes that generate biodiversity.
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