MODIS-derived land surface moisture conditions for monitoring blacklegged tick habitat in southern New England

Berger, Kathryn; Wang, Y.; Mather, Thomas N.

doi:10.1080/01431161.2012.705447

Cited by 17 publications

(6 citation statements)

References 17 publications

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“…As a result, climate and vegetation are transitional between the humid east and semi-arid western portion of Kansas that may explain the noted geographic pattern for bovine anaplasmosis in the present study. Humidity can often be seen associated with the survival and abundance of ticks in the literature, with higher humidity conditions often favoring the long-term survival of some ticks species’ life stages through dry seasons [ 36 ], [ 37 ] among other reasons. Of the three climatological covariates, relative humidity had the largest influence on the covariate model based on the posterior estimate and credible intervals.…”

Section: Discussionmentioning

confidence: 99%

Bayesian Space-Time Patterns and Climatic Determinants of Bovine Anaplasmosis

et al. 2016

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The space-time pattern and environmental drivers (land cover, climate) of bovine anaplasmosis in the Midwestern state of Kansas was retrospectively evaluated using Bayesian hierarchical spatio-temporal models and publicly available, remotely-sensed environmental covariate information. Cases of bovine anaplasmosis positively diagnosed at Kansas State Veterinary Diagnostic Laboratory (n = 478) between years 2005–2013 were used to construct the models, which included random effects for space, time and space-time interaction effects with defined priors, and fixed-effect covariates selected a priori using an univariate screening procedure. The Bayesian posterior median and 95% credible intervals for the space-time interaction term in the best-fitting covariate model indicated a steady progression of bovine anaplasmosis over time and geographic area in the state. Posterior median estimates and 95% credible intervals derived for covariates in the final covariate model indicated land surface temperature (minimum), relative humidity and diurnal temperature range to be important risk factors for bovine anaplasmosis in the study. The model performance measured using the Area Under the Curve (AUC) value indicated a good performance for the covariate model (> 0.7). The relevance of climatological factors for bovine anaplasmosis is discussed.

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Section: Discussionmentioning

confidence: 99%

Bayesian Space-Time Patterns and Climatic Determinants of Bovine Anaplasmosis

et al. 2016

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“…MOD09Q1 and MYD09Q1 include spectral bands of red and near-infrared that are used to obtain NDVI which provides information on plant density and growing conditions on the ground [31], and it is widely used as a proxy for biomass production [32]–[34]. Because NDVI values for an 8-day period could have been recorded on any date with in that period, we assumed that the NDVI value corresponded to the middle day of the NDVI compositing period [35], when estimating response duration periods.…”

Section: Methodsmentioning

confidence: 99%

The Response of Aboveground Net Primary Productivity of Desert Vegetation to Rainfall Pulse in the Temperate Desert Region of Northwest China

Fang

Zhao

2013

PLoS ONE

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Rainfall events can be characterized as “pulses”, which are discrete and variable episodes that can significantly influence the structure and function of desert ecosystems, including shifts in aboveground net primary productivity (ANPP). To determine the threshold and hierarchical response of rainfall event size on the Normalized Difference Vegetation Index (NDVI, a proxy for ANPP) and the difference across a desert area in northwestern China with two habitats – dune and desert – we selected 17 independent summer rainfall events from 2005 to 2012, and obtained a corresponding NDVI dataset extracted from MODIS images. Based on the threshold-delay model and statistical analysis, the results showed that the response of NDVI to rainfall pulses began at about a 5 mm event size. Furthermore, when the rainfall event size was more than 30 mm, NDVI rapidly increased 3- to 6-fold compared with the response to events of less than 30 mm, suggesting that 30 mm was the threshold for a large NDVI response. These results revealed the importance of the 5 mm and 30 mm rainfall events for plant survival and growth in desert regions. There was an 8- to 16-day lag time between the rainfall event and the NDVI response, and the response duration varied with rainfall event size, reaching a maximum of 32 days. Due to differences in soil physical and mineralogical properties, and to biodiversity structure and the root systems' abilities to exploit moisture, dune and desert areas differed in precipitation responses: dune habitats were characterized by a single, late summer productivity peak; in contrast, deserts showed a multi-peak pattern throughout the growing season.

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“…The first principal component was primarily associated with variables representing soil moisture index and temperature. Soil moisture and temperature are important aspects in tick ecology, and the availability of soil moisture has been suggested as an important factor in characterizing tick habitats (Randolph 2000, Berger et al 2013). Higher soil moisture content, lower midday temperature, and increased cloud cover are linked to increased questing activity of a similar hard tick, Ixodes ricinus (Medlock et al 2013).…”

Section: Discussionmentioning

confidence: 99%

Maximum Entropy-Based Ecological Niche Model and Bio-Climatic Determinants of Lone Star Tick (Amblyomma americanum) Niche

Raghavan

Goodin

Hanzlicek

et al. 2016

Vector-Borne and Zoonotic Diseases

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The potential distribution of Amblyomma americanum ticks in Kansas was modeled using maximum entropy (MaxEnt) approaches based on museum and field-collected species occurrence data. Various bioclimatic variables were used in the model as potentially influential factors affecting the A. americanum niche. Following reduction of dimensionality among predictor variables using principal components analysis, which revealed that the first two principal axes explain over 87% of the variance, the model indicated that suitable conditions for this medically important tick species cover a larger area in Kansas than currently believed. Soil moisture, temperature, and precipitation were highly correlated with the first two principal components and were influential factors in the A. americanum ecological niche. Assuming that the niche estimated in this study covers the occupied distribution, which needs to be further confirmed by systematic surveys, human exposure to this known disease vector may be considerably under-appreciated in the state.

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MODIS-derived land surface moisture conditions for monitoring blacklegged tick habitat in southern New England

Cited by 17 publications

References 17 publications

Bayesian Space-Time Patterns and Climatic Determinants of Bovine Anaplasmosis

Bayesian Space-Time Patterns and Climatic Determinants of Bovine Anaplasmosis

The Response of Aboveground Net Primary Productivity of Desert Vegetation to Rainfall Pulse in the Temperate Desert Region of Northwest China

Maximum Entropy-Based Ecological Niche Model and Bio-Climatic Determinants of Lone Star Tick (Amblyomma americanum) Niche

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