• Proceedings of the Korea Water Resources Association Conference
• /
• 2022.05a
• /
• pp.464-464
• /
• 2022

건강한 수생태계 유지·관리를 위하여 다양한 수생생물을 활용한 각 분류군의 종별 서식지 적합도 지수 DB 구축의 필요성이 증대되고 있다. 대부분의 수생생물의 경우 문헌 연구를 통해 서식지 적합도 지수를 산정하기는 어려우므로 현장 모니터링 자료를 이용한 어류, 저서생물 등의 서식지 적합도 지수를 산정하여 하천 복원 및 수생생물의 서식에 필요한 생태유량 결정에 중요한 인자로 활용하고 있다. 국내에서 하천 건강성 평가 등을 통해 수계별 다양한 조사를 수행하고 있으나 대부분의 연구는 출현 종 분류 및 출현율 등에 국한되어 있다. 또한, 부족한 현장 모니터링 자료로 인해 서식지 적합도 지수를 산정하기 위한 객관적이고 과학적인 물리적 인자를 도출하기 어려운 실정이며, 이는 전문가의 경험을 바탕으로 한 주관적 판단으로 이어져 결과의 신뢰성 측면에서 한계가 있을 수 있다. 따라서, 수계별 장기적인 모니터링 및 자료 구축을 위한 연구가 필요하며, 기존 서식지 적합도 지수 산정에 관한 방법의 장단점을 명확히 파악하여 국내 하천환경 및 특성에 적합한 서식지 적합도 지수 구축이 반드시 선행되어야 할 것이다.

• Spatial Information Research
• /
• v.6 no.2
• /
• pp.247-256
• /
• 1998

The objective of this research was to develop habitat suitability models for wild boar (Sus Scrafa) in Mt. Sulak National Park and Mt. Jumbong Natural Forest Reserve. The study area is covered-with climax temperate hardwood forests ot'mainly Mongolian oak ($\textit{Quercus mongolica}$), and has diverse wildlife species including wild boars. Three suitability models - summer, fall, and annual models - were developed. These models were based on slope, aspect, forest types, forest year classes, distance from streams and trails. Habitat data collected through telemetry were used for the models. The accuracy of the models was tested by comparing observed traces of wild boar in Mt. Jurnbong, and most traces were on suitable areas on the suitability maps.

• Ecology and Resilient Infrastructure
• /
• v.3 no.2
• /
• pp.134-142
• /
• 2016

Temperature increase and precipitation changes caused by change alter aquatic environments including water quantity and quality that eventually affects the habitat of aquatic organisms. Such changes in habitat lead to changes in habitat suitability of the organisms, which eventually determines species distribution. Therefore, conventional habitat suitability models were investigated to evaluate habitat suitability changes of freshwater fish cause by change. Habitat suitability models can be divided into habitat-hydraulic (PHABSIM, CCHE2D, CASiMiR, RHABSIM, RHYHABSIM, and River2D) and habitat-physiologic (CLIMEX) models. Habitat-hydraulic models use hydraulic variables (velocity, depth, substrate) to assess habitat suitability, but lack the ability to evaluate the effect of water quality, including temperature. On the contrary, CLIMEX evaluates the physiological response against climatic variables, but lacks the ability to interpret the effects of physical habitat (hydraulic variables). A new concept of ecological habitat suitability modeling (EHSM) is proposed to overcome such limitations by combining the habitat-hydraulic model (PHABSIM) and the habitat-physiologic model (CLIMEX), which is able to evaluate the effect of more environmental variables than each conventional model. This model is expected to predict fish habitat suitability according to climate change more accurately.

• Journal of the Korean Society of Marine Environment & Safety
• /
• v.24 no.6
• /
• pp.764-772
• /
• 2018

It is necessary to explore the possibility of alternative habitats and research the characteristics of basic habitats due to seeding, culturing and harvesting of blood clams (Tegillarca granosa) in tidal flats. Currently, dependence on naturally occurring spat is much higher than in other species, which may lead to a reduction in biological resources. In this study, we selected a total of 5 sites (Changgi, Hopo in Cheonsu Bay and Dangsan, Sachang, Wangsan in Garolim Bay) and examined habitat suitability factors for suitable site selection. Also, we considered the relationship of habitat suitability factors (Environment: water content, organic content; survival: mud content, mean size; growth: chlorophyll a). As a result, Wangsan had the highest score of the main habitat of blood clams (Habitat suitability score, Wangsan: 87; Dangsan: 86; Sachang: 81; Hopo: 78; and Changgi: 73). The sediment in Garolim Bay was fine-grained and the seasonal variation was lower than Cheonsu Bay. Therefore, it is considered that Garolim Bay is more suitable as a potential area and easy to utilize the space. In the future, search and selection of potential suitable sites could be considered to solve problems caused by the reduction of biological resources and the production for blood clams.

• Spatial Information Research
• /
• v.8 no.1
• /
• pp.85-99
• /
• 2000

Accurate information on habitat distribution of protected fauna is essential for the habitat management of Korea, a country with very high development pressure. The objectives of this study were to develop a habitat suitability model of wild boar based on GIS and logistic regression, and to create habitat distribution map, and to prepare the basis for habitat management of our country s endangered and protected species. The modeling process of this restudyarch had following three steps. First, GIS database of environmental factors related to use and availability of wild boar habitat were built. Wild boar locations were collected by Radio-Telemetry and GPS. Second, environmental factors affecting the habitat use and availability of wild boars were identified through chi-square test. Third, habitat suitability model based on logistic regression were developed, and the validity of the model was tested. Finally , habitat assessment map was created by utilizing a rule-based approach. The results of the study were as folos. First , distinct difference in wild boar habitat use by season and habitat types were found, however, no difference in wild boar habiat use by season and habitat types were found , however, ho difference by sex and activity types were found. Second, it was found, through habitat availability analysis, that elevation , aspect , forest type, and forest age were significant natural environmental factors affecting wild boar hatibate selection, but the effects of slope, ridge/valley, water, and solar radiation could not be identified, Finally, the habitat at cutoff value of 0.5. The model validation showed that inside validation site had the classification accuracy of 73.07% for total habitat and 80.00% for cover habitat , and outside validation site had the classification accuracy of 75.00% for total habitat.

• Journal of Korean Society of Forest Science
• /
• v.111 no.1
• /
• pp.50-60
• /
• 2022

In this study, habitat suitability was analyzed for three major honey tree species, namely Kalopanax septemlobus, Tilia amurensis, and Styrax obassis, in the Baekdudaegan Mountains using MaxEnt models. The AUC values indicating the prediction accuracies of the models were 0.747, 0.790, and 0.755 for K. septemlobus, T. amurensis, and S. obassis, respectively. The most important variables for K. septemlobus and T. amurensis were elevation, mean annual temperature, and slope, whereas mean annual temperature, elevation, and mean annual precipitation were the most important predictors for S. obassis. For all three studied species, elevation and mean annual temperature were the most important topographic and climatic factors, respectively, indicating that such variables are crucial for explaining species distribution. Honey tree species are essential resources in forest beekeeping, a high value-added process for improving forest income, and this study identified sites with the potential for management of such species in the Baekdudaegan Mountains, where it may be possible to establish a honey forest. However, the accuracy of the models should be improved through comprehensive analysis with abiotic variables, such as soil properties and aridity, which affect the distribution of honey tree species, as well as biotic variables, such as interspecific competition.

• Journal of the Korean Institute of Landscape Architecture
• /
• v.36 no.5
• /
• pp.64-72
• /
• 2008

The purpose of this study is to compare a habitat suitability grid unit included within a radius of 100m and $1km^2,\;2km^2,\;4km^2$ watershed units in order to predict suitable habitats for Chungcheong province's endangered leopard species(Prionailurus bengalensis). Other developed countries have carried out habitat assessment and established management policies for species conservation using such methods as HEP(Habitat Evaluation Procedures), HSI(Habitat Suitability Index) and GAP(Gap Analysis Program), etc. In accordance with these studies, many evaluation methods for habitat conservation have been proposed in Korea, but these studies are lacking in consideration of analytic units and general application of analysis results. This study predicted leopard habitat using a logistic regression analysis according to analytic units by data from 56 location and 8 sources of environmental data, including elevation, slope, forest area, land cover, roads, water, broadleaf trees, and human habitation. Moreover, the habitat suitability assessment unit was confirmed by a model comparison process encompassing model explanation. verification, and application on a regional scale. Results showed that assessment methods that took into consideration areas in and around the location points were beneficial in predicting habitat and that the assessment unit was appropriate for a 30m grid unit including areas within a radius of 100m and a $1km^2$ watershed unit in Chungcheong Province. This study suggests a method for regional habitat conservation to complement existing conservation area selection methods, and the results are expected to be used in conservation area selection and ecosystem management policies for endangered species.

• Journal of Advanced Marine Engineering and Technology
• /
• v.34 no.6
• /
• pp.894-905
• /
• 2010

A habitat evaluation method was used to estimate the optimum suitability of the study area for the target algae. Habitat evaluation was carried out using an habitat evaluation procedure (HEP) so that the optimum suitability was quantitatively estimated for carrying out marine afforestation in the study area. According to the results of the suitability analysis, the variation of light and wave conditions according to depth showed the factors with the largest impact to involve the spatial distribution of suitable locations within the area. The total suitable area selected was calculated to be 18ha. The quality of the target algae (Ecklonia cava Kjellman) habitat was analyzed using an habitat suitability index (HSI) model of the HEP, which showed 0.55-0.907 (the maximum value being 1.0). This indicated that artificial reefs for afforestation should be installed to zonation type because the suitable area selected (The HSI value was 0.55~0.907) was distributed within the same depth line.

• Proceedings of the Korea Water Resources Association Conference
• /
• 2017.05a
• /
• pp.517-517
• /
• 2017

본 연구는 저수지 주변 생태환경 서식적합도지수를 산정하여 댐 건설 전후의 생태환경을 정량적으로 평가하고자 하였다. 생태적 가치에 대한 평가 모델 고려 인자로는 고도, 경사 및 각과 같은 물리적 요인, 산림 지형, 식생 유형, 연령층, DBH 등급과 같은 초목 요인들, 그리고 생태 자연상태, 식생 보존 분류 및 야생 생물 출현 지점과 같은 서식지 요인을 이용하였다. 각 요소의 생태학적 기능을 고려한 평가기준을 정량화하여 개발된 모델은 한탄강 댐 저수지에 적용하였다. 그 결과 댐 건설 이전의 생태 가치가 100이라고 가정했을 때, 댐 건설 이후에 물리적 요소는 83.9, 초목요소는 92.4, 그리고 서식처 요소는 84.5로 저하되었다. 전반적인 생태 가치는 건설 후 86.9 %, 13.1 % 감소하였다. 또한, 평가 요소를 쌓은 방법을 통해 생태학적으로 건강한 지역을 선정하였다. 본 연구결과는 댐 저수지에 생태 복원 계획을 수립하는 데 유용할 것으로 판단된다.

• Journal of the Korean Society of Marine Environment & Safety
• /
• v.19 no.6
• /
• pp.597-605
• /
• 2013

This study was conducted in warty sea squirt farm, Jindong Bay(10 stations; July, October, January, April) for the culture period of Styela clava, Styela plicata. We utilized water temperature, chlorophyll a, suspended particulate matter, hydrodynamics, salinity and dissolved oxygen saturation for the suitability assessment of warty sea squirt farm. Newly, Life Requisite Suitability graphs were made for the correlation between the growth of Styela clava, Styela plicata and farm environment. As a result of the assessment for Habitat Suitability Index, western bay(HSI 0.32~0.41) show values higher than eastern bay(HSI 0.19~0.27). This result shows the high correlation with the unit production of Styela clava, Styela plicata($R^2$=0.834, P<0.01). This could be helpful for fishery management for the sustainable productivity through the scientific suitable site assessment.