Assessing the potential suitability of forest stands as Kirengeshoma koreana habitat using MaxEnt

Han, Hee; Cho, Seonhee; Song, Jinwoong; Seol, Ara; Chung, Hyejean; Kim, Joonsun; Chung, Joo-Sang

doi:10.1007/s11355-013-0246-3

Cited by 11 publications

(7 citation statements)

References 36 publications

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“…ROC plot was obtained by plotting all sensitivity values on the y ‐axis against their equivalent values for all available thresholds on the x ‐axis (Fielding & Bell, ). AUC is considered to be an important single measure of the overall accuracy of a model (Han et al, ). Values of AUC range from 0 to 1, with 0.5 indicating random prediction (Milanovich, Peterman, Barrett, & Hopton, ; Raes & ter Steege, ).…”

Section: Methodsmentioning

confidence: 99%

Predicting the distribution of released Oriental White Stork (Ciconia boyciana) in central Japan

Yamada

Itagawa

Yoshida

et al. 2019

Ecological Research

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The Oriental White Stork (Ciconia boyciana) is one of the species threatened by mainly anthropogenic factor and their habitats are considered to be conserved. The first reintroduction of the species in Japan occurred in 2005. But as the species' natural wetland habitats are declining, the birds now prefer to forage in rice paddies. Thus, restoring the paddy-dominated landscape is key for further success in the reintroduction program. In addition, a quantitative method is urgently needed to assess how much suitable habitat is available and where it is located. In this study, we identified environmental factors that affect the distribution of the Oriental White Stork and produced the first predictive spatial distribution map using 2-year satellite tracking data of reintroduced individuals. The maximum entropy (MaxEnt) approach was used to model the species' distribution at the landscape scale (1 km × 1 km grid cells). We identified six relevant environmental variables. Our results highlight the proportion of area of rice paddies as alternative wetland habitat as the most influential variable affecting the distribution positively. Landscape diversity represented by a complex mosaic of paddies and forest is also important for the species, as total length of paddy-forest edge also had a positive effect on habitat suitability. Our predictive distribution map cannot entirely provide distribution; however, it may be valuable information when considering where should be conserved as habitat to maintain the Oriental White Stork population in Japan.

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Section: Methodsmentioning

confidence: 99%

Predicting the distribution of released Oriental White Stork (Ciconia boyciana) in central Japan

Yamada

Itagawa

Yoshida

et al. 2019

Ecological Research

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“…The area in each HSI class was calculated following the methodology of Kumar and Stohlgren () and Han et al. ().…”

Section: Methodsmentioning

confidence: 99%

“…Separate maps were produced for winter-spring and summer-autumn and for the two periods combined. The area in each HSI class was calculated following the methodology of Kumar andStohlgren (2009) andHan et al (2014). (Table 2).…”

Section: Maxent Modelmentioning

confidence: 99%

Improving conservation effectiveness of nature reserve for golden snub‐nosed monkey, a niche‐based approach

Yan

Teng

et al. 2018

Ecology and Evolution

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Reserve selections are often opportunistic rather than strategic and coordinated, and consequently, many reserves are ineffective to achieve their intended goals of conservation. Here, we assessed the conservation effectiveness of a reserve for the golden snub‐nosed monkeys (Rhinopithecus roxellana) with a niche‐based approach. We assessed habitat usage of the monkeys in Shennongjia Nature Reserve (SNR) and attributes of 14 environmental variables that could potentially affect the monkeys’ habitat use. Spatial distribution of potentially suitable habitat for the monkeys was then modeled with Maxent, a niche‐based model, and conservation effectiveness of SNR was assessed by comparing the current boundary of the reserve with the spatial distribution of the modeled potential habitat and the current habitat area of the monkeys. Only 59% of the habitat area and 61% of the predicted potential habitat area were under the protection of SNR. To improve conservation effectiveness of SNR, we proposed that the current SNR be enlarged by 270 km2. The enlarged reserve would encompass 100% of the existing habitat area plus 89% of the predicted potential habitat area. Using the niche‐based approach, we were able to integrate habitat usage data of the target species with that of remote sensing to identify areas potentially suitable as habitat for the species. This information can be used not only for improving conservation effectiveness of existing reserves but also for the effective planning and designing of new reserves.

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“…Given the many environmental variables available, choosing those really critical to crop growth and keeping the choice objective is difficult. Correlation analysis is commonly used for eliminating highly correlated variables and thus minimizing multicollinearity, avoiding overfitting, and ensuring more accurate predictions [16,41,42]. Nevertheless, prior knowledge, often locally applicable and possibly subjective, is still required, for example to choose from among those within the same correlation cluster [16].…”

Section: Selection Of Crucial Variablesmentioning

confidence: 99%

Predicting Shifts in Land Suitability for Maize Cultivation Worldwide Due to Climate Change: A Modeling Approach

Gao

Zhang

Yue

et al. 2021

Land

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Suitable land is an important prerequisite for crop cultivation and, given the prospect of climate change, it is essential to assess such suitability to minimize crop production risks and to ensure food security. Although a variety of methods to assess the suitability are available, a comprehensive, objective, and large-scale screening of environmental variables that influence the results—and therefore their accuracy—of these methods has rarely been explored. An approach to the selection of such variables is proposed and the criteria established for large-scale assessment of land, based on big data, for its suitability to maize (Zea mays L.) cultivation as a case study. The predicted suitability matched the past distribution of maize with an overall accuracy of 79% and a Kappa coefficient of 0.72. The land suitability for maize is likely to decrease markedly at low latitudes and even at mid latitudes. The total area suitable for maize globally and in most major maize-producing countries will decrease, the decrease being particularly steep in those regions optimally suited for maize at present. Compared with earlier research, the method proposed in the present paper is simple yet objective, comprehensive, and reliable for large-scale assessment. The findings of the study highlight the necessity of adopting relevant strategies to cope with the adverse impacts of climate change.

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Assessing the potential suitability of forest stands as Kirengeshoma koreana habitat using MaxEnt

Cited by 11 publications

References 36 publications

Predicting the distribution of released Oriental White Stork (Ciconia boyciana) in central Japan

Predicting the distribution of released Oriental White Stork (Ciconia boyciana) in central Japan

Improving conservation effectiveness of nature reserve for golden snub‐nosed monkey, a niche‐based approach

Predicting Shifts in Land Suitability for Maize Cultivation Worldwide Due to Climate Change: A Modeling Approach

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