Evaluations of seasonal habitat variations of freshwater fishes, fireflies, and frogs using a habitat suitability index model that includes river water temperature

Nukazawa, Kei; Shiraiwa, Jun-ichi; Kazama, So

doi:10.1016/j.ecolmodel.2011.09.005

Cited by 32 publications

(26 citation statements)

References 66 publications

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“…On the other hand, Qu et al (2013) reported that increase in air temperature varied with the land cover in north China during 1992-2005. One promising approach to address this issue may be to use a hydrothermal simulation model, which calculates runoff and water temperature based on meteorological and land cover data (e.g., Nukazawa et al, 2011), to project future thermal regimes. However, we acknowledge that there are some restrictions when applying our results to such a projection.…”

Section: Discussionmentioning

confidence: 99%

Variation in benthic invertebrate abundance along thermal gradients within headwater streams of a temperate basin in Japan

et al. 2015

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To better understand the impacts of water temperature variation on stream invertebrates, we sampled benthic assemblages and measured water temperature monthly in headwater streams located in northeast Japan during 2011 and 2012. The sites in headwater streams had similar hydraulic and topographical settings, were free of man-made structures, and ranged in elevation from 100 to 850 m above sea level. The results of month-by-month analysis on the relationship between temperature and Plecoptera density revealed that the abundance declined with highly elevated temperatures in mid-summer (July, August). The strongest relationship between variation in Plecoptera abundance (June to October in 2012), however, and water temperature occurred during early summer (June). Thus, early summer temperatures contribute to greater seasonal increase in abundance, suggesting that snapshot data may be unreliable for detecting consistent relationships between the abundance and temperature. The degree of similarity in benthic fauna between sites was significantly negatively correlated with differences in water temperature but not correlated with geographical distance. These results suggest that faunal composition varies along the water temperature gradient rather than habitat connectivity in temperate headwater streams.Electronic supplementary material The online version of this article (

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Section: Discussionmentioning

confidence: 99%

Variation in benthic invertebrate abundance along thermal gradients within headwater streams of a temperate basin in Japan

et al. 2015

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“…We computed HSIs using two methods: a conventional simple frequency analysis (Nukazawa et al, ) and the maximum entropy approach (MaxEnt, Phillips et al, ) for comparison, and selected the most reliable for building a robust model. The term HSI was conveniently used for the outcomes of both methods because these outcomes represent a similar concept.…”

Section: Methodsmentioning

confidence: 99%

“…The HSI was quantified using presence data for the six groups within a part of the study catchment as a training dataset along with geospatial data and hydrological simulation data (Kazama et al, ) covering the entire catchment. We compared the simple frequency analysis (Nukazawa et al, ) and the MaxEnt model (Phillips et al, ) and chose either of the two to better estimate the HSIs. The HSIs were employed to calculate three estimates of species diversity throughout the catchment.…”

Section: Introductionmentioning

confidence: 99%

Catchment‐scale modeling of riverine species diversity using hydrological simulation: application to tests of species‐genetic diversity correlation

2016

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Species distribution models were developed to predict the spatial patterns of the species diversity and the genetic diversity of stream organisms using a distributed hydrological model.We derived annual metrics of water depth and flow velocity in rivers using a hydrological model covering an entire catchment in northeastern Japan. We acquired geospatial data throughout the catchment and the presence records of six taxa within the part of the catchment. Subsequently we derived habitat suitability indices (HSIs) for these taxa using a frequency analysis or the maximum-entropy approach (MaxEnt) to predict three metrics of species diversity. The Shannon-Wiener's diversity index based on MaxEnt (Shannon_MaxE) most effectively represented empirical taxon richness. Subsequently, by comparing Shannon_MaxE and empirical genetic diversity for the four species of stream insects, we evaluated species-genetic diversity correlations (SGDCs). Of the four species, only one caddisfly species (Hydropsyche orientalis) displayed significant positive SGDCs. The result reflects the broad habitat range of this taxon throughout the catchment and its poor dispersal ability, whereas the other three species lacked SGDCs and displayed either a strong dispersal potential (Stenopsyche marmorata and Ephemera japonica) or a narrower habitat range within upstream domains (Hydropsyche albicephala). Finally, we estimated the spatial distribution of genetic diversity of H. orientalis populations based on the calculated Shannon_MaxE using the positive SGDC. This framework is promising for projecting future biodiversity in the context of anthropogenic perturbations such as climate change.

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“…2011; Nukazawa et al. 2011), uncertainty analysis is rarely used to evaluate these models (Roloff and Kernoha 1999; Van der Lee et al. 2006).…”

Section: Introductionmentioning

confidence: 99%

“…2011; Nukazawa et al. 2011). Here in an exploratory analysis, we apply the GSA/UA framework to HSI models for two submerged aquatic vegetation (SAV) species: tape grass ( Vallisneria americana ) and shoal grass ( Halodule wrightii ) in a south Florida riverine–estuarine system in Everglades National Park (Fig 1…”

Section: Introductionmentioning

confidence: 99%

Evaluation of habitat suitability index models by global sensitivity and uncertainty analyses: a case study for submerged aquatic vegetation

Zajac

Stith

Bowling

et al. 2015

Ecology and Evolution

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Habitat suitability index (HSI) models are commonly used to predict habitat quality and species distributions and are used to develop biological surveys, assess reserve and management priorities, and anticipate possible change under different management or climate change scenarios. Important management decisions may be based on model results, often without a clear understanding of the level of uncertainty associated with model outputs. We present an integrated methodology to assess the propagation of uncertainty from both inputs and structure of the HSI models on model outputs (uncertainty analysis: UA) and relative importance of uncertain model inputs and their interactions on the model output uncertainty (global sensitivity analysis: GSA). We illustrate the GSA/UA framework using simulated hydrology input data from a hydrodynamic model representing sea level changes and HSI models for two species of submerged aquatic vegetation (SAV) in southwest Everglades National Park: Vallisneria americana (tape grass) and Halodule wrightii (shoal grass). We found considerable spatial variation in uncertainty for both species, but distributions of HSI scores still allowed discrimination of sites with good versus poor conditions. Ranking of input parameter sensitivities also varied spatially for both species, with high habitat quality sites showing higher sensitivity to different parameters than low-quality sites. HSI models may be especially useful when species distribution data are unavailable, providing means of exploiting widely available environmental datasets to model past, current, and future habitat conditions. The GSA/UA approach provides a general method for better understanding HSI model dynamics, the spatial and temporal variation in uncertainties, and the parameters that contribute most to model uncertainty. Including an uncertainty and sensitivity analysis in modeling efforts as part of the decision-making framework will result in better-informed, more robust decisions.

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Evaluations of seasonal habitat variations of freshwater fishes, fireflies, and frogs using a habitat suitability index model that includes river water temperature

Cited by 32 publications

References 66 publications

Variation in benthic invertebrate abundance along thermal gradients within headwater streams of a temperate basin in Japan

Variation in benthic invertebrate abundance along thermal gradients within headwater streams of a temperate basin in Japan

Catchment‐scale modeling of riverine species diversity using hydrological simulation: application to tests of species‐genetic diversity correlation

Evaluation of habitat suitability index models by global sensitivity and uncertainty analyses: a case study for submerged aquatic vegetation

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