The ecosystem provides a diverse array of environmental conditions for organisms, and only those that are capable of successfully adapting to these conditions within their habitats can endure, thrive, and proliferate. Further, the environmental conditions within these habitats can significantly affect the bioavailability of chemicals that are introduced therein, thus resulting in varied adverse impacts on the organisms. The present study aims to evaluate the sensitivity of Yuukianura szeptyckii - a species adapted to riparian - to heavy metals following ISO guideline 11276, with the objective of assessing its potential as an indicator species for ecotoxicological evaluations in riparian habitats. The findings revealed that cadmium and copper both had significant toxic effects depending on their concentrations. For cadmium, the LC50 was 280 mg kg-1, EC50 was 66 mg kg-1, and NOEC and LOEC were 25 and 50 mg kg-1, respectively. For copper, the LC50 was 911 mg kg-1, EC50 was 151 mg kg-1, and LOEC was 50 mg kg-1. Comparative analysis with previous results for the international standard species Folsomia candida and the domestic standard species Allonychiurus kimi indicated that Y. szeptyckii exhibited even greater sensitivity to toxicity values. The adverse effects on survival and reproduction were closely associated with the influx concentration of heavy metals in their bodies. Altogether, the results suggest that Y. szeptyckii is a sensitive species for ecotoxicological assessments in riparian habitats, thus making it suitable as an indicator species, particularly in riparian ecosystems that are characterized by relatively high humidity conditions.

The key to invasive pest management lies in preemptive action. However, most current research using species distribution models is conducted after an invasion has occurred. This study modeled the potential distribution of the globally notorious sweet potato pest, the sweet potato weevil (Cylas formicarius), that has not yet invaded Korea using MaxEnt. Using global occurrence data, bioclimatic variables, and topsoil characteristics, MaxEnt showed high explanatory power as both the training and test areas under the curve exceeded 0.9. Among the environmental variables used in this study, minimum temperature in the coldest month (BIO06), precipitation in the driest month (BIO14), mean diurnal range (BIO02), and bulk density (BDOD) were identified as key variables. The predicted global distribution showed high values in most countries where the species is currently present, with a significant potential invasion risk in most South American countries where C. formicarius is not yet present. In Korea, Jeju Island and the southwestern coasts of Jeollanam-do showed very high probabilities. The impact of climate change under shared socioeconomic pathway (SSP) scenarios indicated an expansion along coasts as climate change progresses. By applying the 10th percentile minimum training presence rule, the potential area of occurrence was estimated at 1,439 km2 under current climate conditions and could expand up to 9,485 km2 under the SSP585 scenario. However, the model predicted that an inland invasion would not be serious. The results of this study suggest a need to focus on the risk of invasion in islands and coastal areas.

Many changes in the scale and structure of the Korean rice cropping system have been made over the past few decades. Still, insufficient research has been conducted on the sustainability of this system. This study analyzed changes in the Korean rice cropping system’s sustainability from a system ecology perspective using an emergy approach. For this purpose, an emergy table was created for the Korean rice cropping system in 2011, 2016, and 202, and an emergy-based indicator analysis was performed. The emergy analysis showed that the total emergy input to the rice cropping system decreased from 10,744E+18 sej year-1 to 8,342E+18 sej year-1 due to decreases in paddy field areas from 2011 to 2021, and the proportion of renewable resources decreased by 1.4%. The emergy input per area (ha) was found to have decreased from 13.13E+15 sej ha-1 year-1 in 2011 to 11.89E+15 sej ha-1 year-1 in 2021, and the leading cause was a decrease in nitrogen fertilizer usage and working hours. The amount of emergy used to grow 1 g of rice stayed the same between 2016 and 2021 (specific emergy: 13.3E+09 sej g-1), but the sustainability of the rice cropping system (emergy sustainability index, ESI) continued to decrease (2011: 0.107, 2016: 0.088, and 2021: 0.086). This study provides quantitative information on the emergy input structure and characteristics of Korean rice cropping systems. The results of this study can be used as a valuable reference in establishing measures to improve the ecological sustainability of the Korean rice cropping system.

공간 샘플링은 공간모델링 연구에 활용되어 샘플링 비용을 줄이면서 모델링의 효율성을 높이는 역할을 한다. 농업분야에서는 기후변화 영향을 예측하고 평가하기 위한 고해상도 공간자료 기반 모델링에 대한 연구 수요가 빠르게 증가하고 있으며, 이에 따라 공간 샘플링의 필요성과 중요성이 증가하고 있다. 본 연구는 국내 농지 공간샘플링 연구를 통해 농업분야 기후변화연구의 공간자료 활용의 효율성을 제고하고자 하였다. 본 연구는 층화랜덤샘플링 을 기반으로 하였으며, 1 km 해상도의 농지 공간격자자료 모집단 (11,386개 격자)에 대해서 RCP 시나리오별 (RCP 4.5/8.5) 연대별 (2030/2050/2080년대) 공간샘플링을 설 계하였다. 국내 농지는 기상 및 토양 특성에 따라 계층화 되었으며, 샘플링 효율 극대화를 위해 최적 층화 및 샘플 배정 최적화를 수행하였다. 최적화는 작물수량, 온실가스 배출량, 해충 분포 확률을 포함하는 16개 목표 변수에 대해 주어진 정밀도 제한 내에서 샘플 수를 최소화하는 방향으로 진행되었다. 샘플링의 정밀도와 정확도 평가는 각각 변동계수 (CV)와 상대적 편향을 기반으로 하였다. 국내 농지 공간격자 모집단 계층화 및 샘플 배정 및 샘플 수 최적화 결과, 전체 농지는 5~21개 계층, 46~69개 샘플 수 수준에서 최적화되었다. 본 연구결과물들은 국내 농업시스템 대표 공간격자로써 널리 활용될 수 있을 것으로 기대된다. 또한, 기후변화 영향예측 공간모델링 연구들에 활용되어 샘플링 비용 및 계산 시간을 줄이면서도 모델의 효율성을 높이는 데에 기여할 수 있다.

It is important to consider interaction between species in understanding structure and function of the biological community. Current ecological issues such as climate change and habitat loss emphasize the significance of the concept of species interaction in that varying species’ interaction across environmental gradients may lead to altered ecological function and services. However, most community studies have focused on species diversity through analysis of quantitative indices based on species composition and abundance data without considering species interactions in the community. ‘Ecological network analysis’ based on network theory enables exploration of structural and functional properties of ecosystems composed of various species and their interactions. In this paper, network analysis of Cheonggye stream as a case study was presented to promote uses of network analysis on ecological studies in Korea. Cheonggye stream has a simple biological structure with link density of 1.48, connectance 0.07, generality 4.43, and vulnerability 1.94. The ecological network analysis can be used to provide ecological interpretations of domestic long-term monitoring data and can contribute to conserving and managing species diversity in ecosystems.

Acute and chronic toxicities of methyl ethyl ketone and methanol were investigated on Paronychiurus kimi (Collembola), for evaluating the potential effects of accidental exposures of these chemical substances on the terrestrial environments. This study was undertaken to establish a toxicity database for these chemical substances, which was required for the preparation of the response compensation and liability act for agricultural production and environmental damage. The 7-d acute toxicity and 28-d chronic toxicity were conducted using the OECD artificial soil spiked with varying, serially diluted concentrations of methyl ethyl ketone and methanol. Mortality was recorded after 7-d and 28-d of exposures, and the number of juveniles were determined after 28-d of exposure in the chronic toxicity test. In both assessments, methanol was more toxic than methyl ethyl ketone in terms of mortality (LC50) and reproduction (EC50). The 7-d LC50 of methyl ethyl ketone and methanol were 762 and 2378 mg kg-1 soil dry wt., respectively, and the 28-d LC50s were 6063 and 1857 mg kg-1 soil dry wt., respectively. The 28-d EC50 of methyl ethyl ketone and methanol were 265 and 602 mg kg-1 soil dry wt., respectively. Comparison of results obtained in this study with literature data revealed that P. kimi was more sensitive to methanol than other soil invertebrates. However, given the high volatility of the chemicals tested in this study, further studies are necessary to improve the current test guideline, or to develop new test guidelines for an accurate assessment of chemicals that require toxicity databases for chemical accidents.

기후변화로 인한 온도 증가는 농업생태계에서 작물에 대한 해충-천적 시스템의 상호작용을 변화시켜 해충의 발생과 천적의 생물 방제 효과에 영향을 미친다. 고추의 대표적인 해충 복숭아혹진딧물과 목화진딧물, 천적인 칠성무당벌레를 대상으로 각각 기존의 Rosenzweig-Macathur predator-prey모델을 이용하여 244일 동안 평균 온도 상승에 대한 개체군의 밀도 변동을 모의하였다. 기후변화의 온도 영향을 알아보기 위해 모델을 구성하는 각각의 생물 파라미터에 대해 온도 의존 함수가 추가되었고, 수정된 모델의 결과를 바탕으로 dynamic index를 이용하여 상호작용 강도를 산출하였다. 시뮬레이션 결과, 두 시스템 모두 평균온도가 증가함에 따라(+1°C, +3°C) 해충과 천적의 밀도 변동 주기와 해충의 최대 발생 밀도는 감소하고, dynamic index는 증가하였다. 또한, 온도가 5°C 증가할 경우, 목화진딧물-칠성무당벌레 시스템에서는 강한 상호작용 에 의한 포식자 및 피식자의 과도한 밀도 감소의 영향으로 dynamic index가 급격히 상승하는 구간을 보여주었다. 기후변화에 의해 평균 온도가 증가함에 따라 해충의 발생 빈도 증가 및 일부 발생 밀도의 증가가 나타날 수 있지만, 종간 상호작용 증가에 의해 그 영향이 상쇄됨에 따라 생물적 방제 효과는 증대될 것으로 예측된다.

기후변화로 인한 환경 요인 변화는 생물 간 상호작용에 영향을 주지만 기후변화 관련 곤충 영향 연구 대부분은 이를 배제한 채 비생물 환경인자와의 관계 분석에 초점을 맞추고 있다. 개체군 동태 또는 종 분포 모델을 중심으로 한 단일 종에 대한 연구가 주를 이루며, 영양단계 간 생물요인의 영향을 고려한 생태계시스템 측면의 연구는 부족하다. 농생태계의 경우 지역적 규모로 기후요인 뿐만아니라 생물요인의 영향을 특히 많이 받는다. 따라서, 기후변화의 영향요인으로 종간 최적 생존 온도 범위 및 온도 반응 차이, 생물 파라미터의 온도에 대한 비선형성으로 인한 생물 시스템 간 연결성 변화 및 이에 따른 멸종이 고려되어야 한다. 이를 위해 작물, 해충, 천적상을 포함하는 tritrophic 수준에서 시스템적 접근을 통해 기후변화에 따른 개체군 및 상호작용 dynamic을 구현할 필요가 있다. 생물요인을 포함하는 모델화 작업에 대한 연구 방향으로는 종의 공간적 분포를 고려하기 위해 작물재배적지 모형을 기반으로 재배적합도에 따른 작물의 미래 분포가능 지역을 결정하며, 작물에 대한 해충과 천적상의 공간적 synchrony를 전제로 농생태계 종 구성 시나리오를 작성한다. 이에 tritrophic dynamic system 모형을 적용하여 기후변화에 따른 생물 간 상호작용 강도 변화에 따른 종 구성 변화 및 시스템 변동을 예측하고, 농생태계 작물별 key trophic chain 및 해충압 변화를 시뮬레이션하여 기후변화의 통합 영향을 분석한다.

One of the largest and fastest growing segments of the tourism industry, sport tourism refers to travel to play sports, watch sports, or to visit a sport attraction including both competitive and non-competitive activities. In this respect, cycling can be considered as not only a form of physical exercise but also a form of tourism in which cycling is a usual tourism-related activity, heading to a particular destination. The purpose of this study is to examine how demographical differences of cycle tourists are related to the quality of their life. An online survey was conducted and data was analyzed using frequency, reliability, and one - way ANOVA using SPSS 22.0. First, we found that there was no significant difference on the quality of physical life based on demographical characteristics. Second, the analysis of the relationship between demographical characteristics and the quality of mental life showed that income level affects their quality of mental life. Third, the analysis of the relationship between socio demographic characteristics and the quality of social life showed that marital status affects the quality of social life. Fourth, no statistically significant difference was found between the demographical characteristics and the quality of environmental life. Further implications were discussed.

Today, the population of cycle participants is consistently increasing. Cycling is becoming not only a form of physical exercise but also a form of tourism in which cycle activities are related to visiting a particular destination. With the perspective of participation sport tourism, the purpose of this study is to investigate how the level of cycle tourists’ participation affects their quality of life. An online survey link was sent to cycle participants to collect data. Out of the total 337 respondents, a total of 226 samples were used for the final analysis, disregarding those that were found to be inadequate or unreliable. For data analysis, frequency analysis, reliability test, validity, correlations, and regressions were employed with SPSS 22.0. For our first result, we found that the level of cycle participation did not significantly affect the quality of physical life. Second, the level of cycle participation did not have significant effect on the quality of mental life. Third, the level of cycle participation behavior did not have a significant effect on the quality of social life. Fourth, the level of cycle participation behavior did not have a significant effect on the quality of environmental life. Conclusions and political implications are discussed.