• 제목/요약/키워드: potential habitat

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GIS를 이용한 개발지역 주변 하늘다람쥐 잠재서식지 평가 (Evaluation of Potential Habitat of Pteromys volans around some Development Area Using GIS)

  • 김성철;전영신;임춘우;정철운
    • 한국환경과학회지
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    • 제32권5호
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    • pp.395-401
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    • 2023
  • In this study, 12 environmental factors were used to evaluate the potential habitat of Pteromys volans living around some development areas. The analyzed value ranged from 0 to 20.1, and the area with a score of 10 or less was analyzed to have a low possibility of inhabiting Pteromys volans. To verify the analyzed results, a field survey was conducted on areas with 10 or more scores, and traces of habitat of Pteromys volans were confirmed in areas with 16 or more scores. All the areas with an evaluation score of 16 or higher showed high crown density and age class. However, despite the high crown density and age class, the evaluation score in some areas was low owing to the influence of other environmental factors. Therefore, in evaluating Pteromys volans habitats, it is necessary to apply various and complex criteria suitable for field conditions rather than applying uniform and fragmentary environmental factors only.

분산 능력을 고려한 기후변화에 따른 붉가시나무의 잠재서식지 분포변화 예측연구 (Prediction of Potential Habitat of Japanese evergreen oak (Quercus acuta Thunb.) Considering Dispersal Ability Under Climate Change)

  • 신만석;서창완;박선욱;홍승범;김진용;전자영;이명우
    • 환경영향평가
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    • 제27권3호
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    • pp.291-306
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    • 2018
  • 본 연구는 붉가시나무(Quercus acuta Thunb.)를 대상으로 기후변화의 영향을 평가함에 있어 분산능력을 고려해보고자 하였다. 기후변화에 따른 붉가시나무의 잠재서식지 변화를 예측하기 위하여 종의 분포자료와 기후자료를 활용하여 종분포모형을 개발하였다. 종분포모형은 9개 알고리즘을 True Skill Statistic 평가 값 가중치로 합산하는 앙상블모형을 적용하여 불확실성을 줄이고자 하였다. 미래의 시간적 범위는 2050년과 2070년을 대상으로 하였으며, 기후변화 시나리오는 RCP4.5와 RCP8.5를 선정 하였다. 최종적인 미래 잠재서식지는 현재 적합서식지에서 분산능력에 따라 분산가능한지의 여부를 고려하여 결정하였다. 분산능력은 제한이 없는 경우(Unlimited)와 거리에 따른 분산 확률 함수에 3가지 계수값 (${\theta}=-0.005$, ${\theta}=-0.001$, ${\theta}=-0.0005$)을 적용하여 R 패키지인 Migclim을 사용하여 구현하였다. 2050년 RCP4.5 시나리오에서 계수값이 ${\theta}=-0.005$일 때 붉가시나무의 잠재서식지가 감소하였다. 그 이외의 경우에는 분산능력이 낮은 경우에도 한반도 내의 잠재서식지가 늘어났다. 하지만 분산능력을 고려하였을 경우 붉가시나무의 미래 잠재서식지 확장에는 한계가 분명하게 나타났다. 따라서 기후변화에 따른 미래 잠재서식지 예측에 있어서 분산능력을 고려하는 것이 중요하다고 판단된다.

습지를 기반으로 하는 맹꽁이 대체서식처 조성 계획 (A Substitute Habitat Planning for 'Kaloula borealis' Based on Wetlands)

  • 정영선;박미옥;구본학
    • 한국환경복원기술학회지
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    • 제16권1호
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    • pp.1-15
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    • 2013
  • This study was carried out to make a plan and design the substitute habitat for Kaloula borealis by pre-proposed planning model for wildlife based on wetlands. The habitat characteristics and distribution status in study area, Shingi village in Gunpo, Gyeonggi Province, were surveyed and restoration strategies of habitats including conservation, enhancement were established by conservation value assessment, and the substitute habitat needed to replace was selected. One of three potential substitute habitats in the same watershed to the original habitat was selected by suitable site assessment. And finally the substitute habitat for Kaloula borealis was planned by the planning indices, and some adults and tadpoles were captured and released into built substitute.

GIS와 퍼지함수(Fuzzy function)를 활용한 고라니의 생태통로 적지분석 - 춘천시를 대상으로 - (Suitability Analysis of Eco-corridor for Korean Water Deer (Hydropotes Inermis) based on GIS and Fuzzy Function - A Case Study of Chuncheon City -)

  • 이도형;길승호;전성우
    • 한국BIM학회 논문집
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    • 제8권4호
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    • pp.72-79
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    • 2018
  • Rapid developments around the world have resulted in urban expansion, habitat destruction, habitat fragmentation, and pollution problems, which are the main reasons for the decline in biological diversity. The United Nations warns that many animals and plants will die out in the near future if this continues. This study was performed to propose a map of eco-corridor suitability analysis of Korean water deer(Hydropotes Inermis) to enhance biodiversity in Chuncheon city. Eight factors affecting habitat suitability were elevation, aspect, slope, forest type, distance to the road, distance to the stream, land use and green connectivity. Previous study analysis on the mobility behaviour of the Korean water deer(Hydropotes Inermis) produced a habitat suitability map by determining the threshold and assigning a value between 0 and 1 depending on the habitat suitability using the fuzzy function. A method of analysis was proposed for a number of eco-corridor through comparative analysis of the data from the produced habitat suitability map and the road-kill point. The previous studies were focused on Backdudaegan region and national parks except for urban cities. The potential habitat map of Korean water deer could be helpful as a way to prevent habitat disconnection and increase species diversity in urban areas.

원격탐사를 활용한 베트남 Ben-tre 갯벌의 Meretrix lyrata 서식지 매핑 연구 (A Study on the Habitat Mapping of Meretrix lyrata Using Remote Sensing at Ben-tre Tidal Flat, Vietnam)

  • 황득재;우한준;구본주;최종국
    • 대한원격탐사학회지
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    • 제37권5_1호
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    • pp.975-987
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    • 2021
  • 동남아시아 지역의 갯벌에 널리 서식하는 패류인 Meretrix lyrata의 집단폐사 현상의 원인과 해결책을 찾기 위한 일환으로 서식지 분포 확률도를 제작하였다. 서식지 분포 확률도는 GIS (Geographic Information System) 기법의 일종인 FR (Frequency Ratio) 기법을 활용하여 제작하였으며, 입력인자로는 Landsat 영상 기반의 DEM(Digital Elevation Model)과 경사도, WorldView-02 영상 기반의 조류로 밀도도 및 거리도, 표층퇴적상 분포도와 현장관측 자료를 활용하였다. 현장관측은 2014년 4월 베트남 Ben-tre 주의 Bihn Dai 지역의 갯벌에서 수행하였으며, 연구지역의 지형고도, 표층 저서생물상, 표층 퇴적상 자료를 수집하였다. 서식지 분포 확률도는 Mertrix lyrata 총 개체와 치패로 나누어 제작하였으며, 정확도는 각각 76.82%, 69.51%로 좋은 정확도를 보였다. 서식지 분포 확률도 분석 결과 Meretrix lyrata는 총 개체와 치패 모두의 경우에서 Sand가 우세한 지역에 서식하지만, 총 개체는 주로 고도가 -0.2~0.2 m 사이의 조간대 중-하부에 서식하며, 치패는 그보다 높은 0~0.3 m 사이의 지역에 서식하였다. 또한 총 개체의 서식지는 조류로로부터 영향을 받는 것으로 나타났지만, 치패는 조류로의 영향을 받지 않았다. 향후 국내 갯벌과의 비교 분석을 통해 서식지 분포 확률도의 정확도를 높이고, Meretrix lyrata를 비롯한 여러 대형저서동물의 서식환경에 대한 분석을 통해, 기후변화 등으로 인한 갯벌 생태의 변화에 대해 예측할 수 있을 것으로 기대된다.

Modeling potential habitats for Pergularia tomentosa using maximum entropy model and effect of environmental variables on its quantitative characteristics in arid rangelands, southeastern Iran

  • Hosseini, Seyed Hamzeh;Azarnivand, Hossein;Ayyari, Mahdi;Chahooki, Mohammad Ali Zare;Erfanzadeh, Reza;Piacente, Sonia;Kheirandish, Reza
    • Journal of Ecology and Environment
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    • 제42권4호
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    • pp.227-239
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    • 2018
  • Background: Predicting the potential habitat of plants in arid regions, especially for medicinal ones, is very important. Although Pergularia tomentosa is a key species for medicinal purposes, it appears in very low density in the arid rangelands of Iran, needing an urgent ecological attention. In this study, we modeled and predicted the potential habitat of P. tomentosa using maximum entropy, and the effects of environmental factors (geology, geomorphology, altitude, and soil properties) on some characteristics of the species were determined. Results: The results showed that P. tomentosa was absent in igneous formation while it appeared in conglomerate formation. In addition, among geomorphological units, the best quantitative characteristics of P. tomentosa was belonged to the conglomerate formation-small hill area (plant aerial parts = 57.63 and root length = 30.68 cm) with the highest electrical conductivity, silt, and $CaCO_3$ content. Conversely, the species was not found in the mountainous area with igneous formation. Moreover, plant density, length of roots, and aerial parts of the species were negatively correlated with soil sand, while positive correlation was observed with $CaCO_3$, EC, potassium, and silt content. The maximum entropy was found to be a reliable method (ROC = 0.91) for predicting suitable habitats for P. tomentosa. Conclusion: These results suggest that in evaluating the plant's habitat suitability in arid regions, contrary to the importance of the topography, some environmental variables such as geomorphology and geology can play the main role in rangeland plants' habitat suitability.

종 분포 모형을 활용한 제주고사리삼의 복원 및 보전 대상지 선정과 관리방안 (Selection and Management Strategies for Restoration and Conservation Target Sites of Mankyua chejuense using Species Distribution Models)

  • 이상욱;장래익;오홍식;전성우
    • 한국환경복원기술학회지
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    • 제26권3호
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    • pp.29-42
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    • 2023
  • As the destruction of habitats due to recent development continues, there is also increasing interest in endangered species. Mankyua chejuense is a vulnerable species that is sensitive to changes in population and habitat, and it has recently been upgraded from Endangered Species II to Endangered Species I, requiring significant management efforts. So in this study, we analyzed the potential habitats of Mankyua chejuense using MaxEnt(Maximum Entropy) modeling. We developed three models: one that considered only environmental characteristics, one that considered artificial factors, and one that reflected the habitat of dominant tree species in the overstory. Based on previous studies, we incorporated environmental and human influence factors for the habitats of Mankyua chejuense into spatial information, and we also used the habitat distribution models of dominant tree species, including Ulmus parvifolia, Maclura tricuspidata, and Ligustrum obtusifolium, that have been previously identified as major overstory species of Mankyua chejuense. Our analysis revealed that rock exposure, elevation, slope, forest type, building density, and soil type were the main factors determining the potential habitat of Mankyua chejuense. Differences among the three models were observed in the edges of the habitats due to human influence factors, and results varied depending on the similarity of the habitats of Mankyua chejuense and the dominant tree species in the overstory. The potential habitats of Mankyua chejuense presented in this study include areas where the species could potentially inhabit in addition to existing habitats. Therefore, these results can be used for the conservation and management planning of Mankyua chejuense.

Mapping the Potential Distribution of Raccoon Dog Habitats: Spatial Statistics and Optimized Deep Learning Approaches

  • Liadira Kusuma Widya;Fatemah Rezaie;Saro Lee
    • Proceedings of the National Institute of Ecology of the Republic of Korea
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    • 제4권4호
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    • pp.159-176
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    • 2023
  • The conservation of the raccoon dog (Nyctereutes procyonoides) in South Korea requires the protection and preservation of natural habitats while additionally ensuring coexistence with human activities. Applying habitat map modeling techniques provides information regarding the distributional patterns of raccoon dogs and assists in the development of future conservation strategies. The purpose of this study is to generate potential habitat distribution maps for the raccoon dog in South Korea using geospatial technology-based models. These models include the frequency ratio (FR) as a bivariate statistical approach, the group method of data handling (GMDH) as a machine learning algorithm, and convolutional neural network (CNN) and long short-term memory (LSTM) as deep learning algorithms. Moreover, the imperialist competitive algorithm (ICA) is used to fine-tune the hyperparameters of the machine learning and deep learning models. Moreover, there are 14 habitat characteristics used for developing the models: elevation, slope, valley depth, topographic wetness index, terrain roughness index, slope height, surface area, slope length and steepness factor (LS factor), normalized difference vegetation index, normalized difference water index, distance to drainage, distance to roads, drainage density, and morphometric features. The accuracy of prediction is evaluated using the area under the receiver operating characteristic curve. The results indicate comparable performances of all models. However, the CNN demonstrates superior capacity for prediction, achieving accuracies of 76.3% and 75.7% for the training and validation processes, respectively. The maps of potential habitat distribution are generated for five different levels of potentiality: very low, low, moderate, high, and very high.

Habitat selection in the lesser cuckoo, an avian brood parasite breeding on Jeju Island, Korea

  • Yun, Seongho;Lee, Jin-Won;Yoo, Jeong-Chil
    • Journal of Ecology and Environment
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    • 제44권2호
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    • pp.106-114
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    • 2020
  • Background: Determining patterns of habitat use is key to understanding of animal ecology. Approximately 1% of bird species use brood parasitism for their breeding strategy, in which they exploit other species' (hosts) parental care by laying eggs in their nests. Brood parasitism may complicate the habitat requirement of brood parasites because they need habitats that support both their host and their own conditions for breeding. Brood parasitism, through changes in reproductive roles of sex or individual, may further diversify habitat use patterns among individuals. However, patterns of habitat use in avian brood parasites have rarely been characterized. In this study, we categorized the habitat preference of a population of brood parasitic lesser cuckoos (Cuculus poliocephalus) breeding on Jeju Island, Korea. By using compositional analyses together with radio-tracking and land cover data, we determined patterns of habitat use and their sexual and diurnal differences. Results: We found that the lesser cuckoo had a relatively large home range and its overall habitat composition (the second-order selection) was similar to those of the study area; open areas such as the field and grassland habitats accounted for 80% of the home range. Nonetheless, their habitat, comprised of 2.54 different habitats per hectare, could be characterized as a mosaic. We also found sexual differences in habitat composition and selection in the core-use area of home ranges (third-order selection). In particular, the forest habitat was preferentially utilized by females, while underutilized by males. However, there was no diurnal change in the pattern of habitat use. Both sexes preferred field habitats at the second-order selection. At the third-order selection, males preferred field habitats followed by grasslands and females preferred grasslands followed by forest habitats. Conclusions: We suggest that the field and grassland habitats represent the two most important areas for the lesser cuckoo on Jeju Island. Nevertheless, this study shows that habitat preference may differ between sexes, likely due to differences in sex roles, sex-based energy demands, and potential sexual conflict.

Application of Statistical and Machine Learning Techniques for Habitat Potential Mapping of Siberian Roe Deer in South Korea

  • Lee, Saro;Rezaie, Fatemeh
    • Proceedings of the National Institute of Ecology of the Republic of Korea
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    • 제2권1호
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    • pp.1-14
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    • 2021
  • The study has been carried out with an objective to prepare Siberian roe deer habitat potential maps in South Korea based on three geographic information system-based models including frequency ratio (FR) as a bivariate statistical approach as well as convolutional neural network (CNN) and long short-term memory (LSTM) as machine learning algorithms. According to field observations, 741 locations were reported as roe deer's habitat preferences. The dataset were divided with a proportion of 70:30 for constructing models and validation purposes. Through FR model, a total of 10 influential factors were opted for the modelling process, namely altitude, valley depth, slope height, topographic position index (TPI), topographic wetness index (TWI), normalized difference water index, drainage density, road density, radar intensity, and morphological feature. The results of variable importance analysis determined that TPI, TWI, altitude and valley depth have higher impact on predicting. Furthermore, the area under the receiver operating characteristic (ROC) curve was applied to assess the prediction accuracies of three models. The results showed that all the models almost have similar performances, but LSTM model had relatively higher prediction ability in comparison to FR and CNN models with the accuracy of 76% and 73% during the training and validation process. The obtained map of LSTM model was categorized into five classes of potentiality including very low, low, moderate, high and very high with proportions of 19.70%, 19.81%, 19.31%, 19.86%, and 21.31%, respectively. The resultant potential maps may be valuable to monitor and preserve the Siberian roe deer habitats.