作者：
Gong, Jian;Shapovalova, Alisa;Lan, Wei;Knight, David W.
期刊：
Current Issues in Tourism,2023年26(11):1731-1747 ISSN：1368-3500
通讯作者：
David W. Knight
作者机构：
[Shapovalova, Alisa; Gong, Jian; Lan, Wei; Knight, David W.] Cent China Normal Univ, Coll Urban & Environm Sci, Wuhan, Peoples R China.;[Gong, Jian; Lan, Wei] Cent China Normal Univ, Wuhan Branch, China Tourism Acad, Wuhan, Peoples R China.;[Knight, David W.] Colorado State Univ, Dept Human Dimens Nat Resources, Ft Collins, CO 80523 USA.
通讯机构：
[David W. Knight] C;College of Urban and Environmental Sciences, Central China Normal University, Wuhan, People’s Republic of China<&wdkj&>Department of Human Dimensions of Natural Resources, Colorado State University, Fort Collins, USA
关键词：
Chinese tourism;national parks;Prism of Sustainability;resident support;mixed methods;sustainable tourism
作者：
Zheng, Jiangpeng;Huang, Zhou;Zhou, Xiao;Scheuer, Bronte;Wang, Han
期刊：
Sustainable Cities and Society,2023年99:104976 ISSN：2210-6707
通讯作者：
Huang, Z
作者机构：
[Huang, Zhou; Zheng, Jiangpeng; Huang, Z; Scheuer, Bronte] Peking Univ, Inst Remote Sensing & Geog Informat Syst, Sch Earth & Space Sci, Beijing 100871, Peoples R China.;[Huang, Zhou; Zheng, Jiangpeng; Scheuer, Bronte] Peking Univ, Beijing Key Lab Spatial Informat Integrat & Its Ap, Beijing 100871, Peoples R China.;[Zhou, Xiao] Cent China Normal Univ, Coll Urban & Environm Sci, Wuhan 430079, Peoples R China.;[Wang, Han] Univ Hong Kong, Fac Architecture, Div Landscape Architecture, Future Urban & Sustainable Environm FUSE Lab, Hong Kong, Peoples R China.
通讯机构：
[Huang, Z ] P;Peking Univ, Inst Remote Sensing & Geog Informat Syst, Sch Earth & Space Sci, Beijing 100871, Peoples R China.
关键词：
CO2 emissions;Bus smart card;Spatiotemporal characteristics;Per person-kilometer;Emission reduction potential
摘要：
Human activities, primarily carbon dioxide emissions, have undeniably caused global warming. The transportation sector contributes about a quarter of global CO2 emissions. While replacing traditional buses with electric ones has reduced emissions, it is crucial to consider the indirect emissions resulting from electricity consumption. This study proposes a framework for modeling bus emissions using smart card data, integrating spatiotemporal distribution characteristics and emission reduction potentials. Our analysis reveals that routes spanning 10-30 km contribute to 81% of total bus emissions, with an average emission rate of 56.2 gCO2/per-km for residents traveling by bus. Bus emissions also exhibit cyclical variations during holidays, weekdays, and weekends, indicating spatial clustering and trends. Although the area within Beijing's 4th Ring Road constitutes only 13% of the total area within the 6th Ring Road, it generates almost half of the CO2 emissions. With urban expansion, total bus emissions increase gradually, but emission intensity decreases. This study emphasizes the potential for reducing emissions through improved public transportation operations. It recommends fully electrifying the bus fleet and employing low grid emission factors, which could reduce emissions by up to 71% compared to diesel options. Electrification of buses and optimizing power generation on the grid are essential priorities for emission reduction.
摘要：
Nitrate-nitrogen (NO(3)(-)-N) loss is a significant contributor to water quality degradation in agricultural catchments. The amount of nitrogen (N) fertilizer input in citrus orchard is relatively large and results in significant NO(3)(-)-N loss, compared to cropland. To promote sustainable N fertilizer management, it is crucial to identify the sources of runoff NO(3)(-)-N loss in citrus orchards catchments. Particularly, we poorly know the sources of NO(3)(-)-N and the mitigation mechanisms in these areas, which are highly polluted with NO(3)(-)-N in water bodies. In this study conducted in central China, we conducted a field experiment with four treatments (CK: no N fertilizer; CF: conventional N fertilizer, 371.3kg N ha(-1) yr(-1) urea; OM: CF with organic manure; GM: CF with legume green manure) and a catchment-scale experiment in two citrus orchards (34.3%; 51.6%) catchments. To determine the source of runoff NO(3)(-)-N loss, we used the dual isotope tracer method (δ(15)N and δ(18)O of NO(3)(-)) to identify the sources of NO(3)(-)-N, and a 15-day incubation experiment to determine the potential and rate of soil N mineralization. Our findings revealed that soil organic nitrogen (SON) mineralization was the primary contributor to runoff NO(3)(-)-N loss, and soil N mineralization potential (0.65(⁎⁎⁎)) and rate (0.54(⁎⁎⁎)) were the key factors impacting NO(3)(-)-N loss. Interestingly, organic manure significantly increased 29.0% of NO(3)(-)-N loss derived from SON in the runoff by enhancing soil N mineralization potential (+36.6%) and rate (+77.1%). But green manure mulching significantly reduced the soil N mineralization rate (-18.6%) compared to organic manure application, making it the most effective measure to reduce NO(3)(-)-N loss (-12.4%). Our study highlights the critical role of regulating SON mineralization in controlling NO(3)(-)-N pollution in surface waters in citrus orchard catchments.
作者机构：
[Zhang, Juan; Chen, Dong; Liu, Zhaojun; Xiong, Kangning; Gu, Xinyan; Zhang, Ning] Guizhou Normal Univ, Sch Karst Sci, Guizhou Engn Lab Karst Desertificat Control & Ecoi, Guiyang 550001, Peoples R China.;[Zhang, Juan; He, Lixiang] Guizhou Univ Finance & Econ, Sch Management Sci & Engn, Guiyang 550025, Peoples R China.;[He, Lixiang] Cent China Normal Univ, Sch Urban & Environm Sci, Wuhan 430079, Peoples R China.
通讯机构：
[Xiong, KN ] G;Guizhou Normal Univ, Sch Karst Sci, Guizhou Engn Lab Karst Desertificat Control & Ecoi, Guiyang 550001, Peoples R China.
关键词：
Natural World Heritage;Buffer zone;Conservation;Tourism;Coupling coordination;Libo-Huanjiang Karst
摘要：
Karst World Heritage Site (KWHS) combines high-grade landscape resources and a fragile ecological environment. As an essential tool for heritage conservation and maintaining local interests, its buffer zone is primarily located in remote villages, a crucial and challenging area for rural revitalization. The conflict between heritage conservation and development is particularly acute at the site. How to deal with the relationship between the heritage site's OUV conservation and the buffer zone's tourism industry development and realize the synergy between the two subsystems? Few studies have focused on it. There is an urgent need to explore the synergistic mechanism of the KWHS's OUV conservation and the buffer zone's tourism industry development. Accordingly, this study takes the Libo-Huanjiang KWHS, one of the 'South China Karst' series of heritage sites, as a case study. The coupling coordination degree model, gray correlation analysis (GCA), and Geographic Information System (GIS) spatial analysis are used. The results show that: (1) There is a synergistic effect between the Libo-Huanjiang KWHS's OUV conservation and its buffer zone's tourism industry development, showing a favorable trend. The mean value of the coupling coordination degree increased from 0.57 in 2015 to 0.63 in 2020, and the overall situation improved from barely coupling coordination state to primary coupling coordination. (2) Influenced by the main driving factors, such as NDVI, landscape dominance, government support for tourism development, tourists' satisfaction, and residents' support, the coupling coordination of the four tourist scenic areas in the study area differed slightly in 2015 and 2020. Yaoshan Ancient Village Scenic Area is the highest in both years, increasing from 0.69 to 0.81, followed by the Mengliu Buyi Scenic Area (0.59), Wanmu Meiyuan Scenic Area is relatively stable with a slight increase, and Lianshanwan Scenic Area (0.45) is the lowest. (3) The four dimensions of ecological resources, policy drivers, economy drivers, and social facilitators work together to create a synergistic mechanism between the KWHS's OUV conservation and the buffer zone's tourism industry development. Future research can promote synergy between the two by formulating a comprehensive plan, encouraging sustainable tourism, establishing a diversified tourism industry, strengthening heritage education and training, enhancing community participation, and reinforcing stakeholder cooperation.
作者机构：
[You, Liangzhi; Hu, Jie; Wei, Haodong; Chen, Yunping] Huazhong Agr Univ, Macro Agr Res Inst, Coll Plant Sci & Technol, Wuhan 430070, Peoples R China.;[Xu, Baodong; Zhang, Xinyu; Zhou, Wei; Cai, Zhiwen] Huazhong Agr Univ, Coll Resources & Environm, Wuhan 430070, Peoples R China.;[Wang, Cong] Cent China Normal Univ, Coll Urban & Environm Sci, Key Lab Geog Proc Anal & Simulat Hubei Prov, Wuhan 430079, Peoples R China.;[You, Liangzhi] Int Food Policy Res Inst, 1201 1 St NW, Washington, DC 20005 USA.;[Xu, Baodong] Beijing Normal Univ & Chinese Acad Sci, Aerosp Informat Res Inst, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China.
通讯机构：
[Baodong Xu] C;College of Resources and Environment, Huazhong Agricultural University, Wuhan 430070, China<&wdkj&>State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Aerospace Information Research Institute, Chinese Academy of Sciences and Beijing Normal University, Beijing 100101, China<&wdkj&>Author to whom correspondence should be addressed.
摘要：
Paddy rice cropping patterns (PRCPs) play important roles in both agroecosystem modeling and food security. Although paddy rice maps have been generated over several regions using satellite observations, few studies have focused on mapping diverse smallholder PRCPs, which include crop rotation and are dominant cropping structures in South China. Here, an approach called the feature selection and hierarchical classification (FSHC) method was proposed to effectively identify paddy rice and its rotation types. Considering the cloudy and rainy weather in South China, a harmonized Landsat and Sentinel-2 (HLS) surface reflectance product was employed to increase high-quality observations. The FSHC method consists of three processes: cropping intensity mapping, feature selection, and decision tree (DT) model development. The FSHC performance was carefully evaluated using crop field samples obtained in 2018 and 2019. Results suggested that the derived cropping intensity map based on the Savitzky-Golay (S-G) filtered normalized difference vegetation index (NDVI) time series was reliable, with an overall accuracy greater than 93%. Additionally, the optimal spectral (i.e., normalized difference water index (NDWI) and land surface water index (LSWI)) and temporal (start-of-season (SOS) date) features for distinguishing different PRCPs were successfully identified, and these features are highly related to the critical growth stage of paddy rice. The developed DT model with three hierarchical levels based on optimal features performed satisfactorily, and the identification accuracy of each PRCP can be achieved approximately 85%. Furthermore, the FSHC method exhibited similar performances when mapping PRCPs in adjacent years. These results demonstrate that the proposed FSHC approach with HLS data can accurately extract diverse PRCPs over fragmented croplands; thus, this approach represents a promising opportunity for generating refined crop type maps.
期刊：
Global Change Biology,2023年29(5):1377-1389 ISSN：1354-1013
通讯作者：
Yongshuo H. Fu<&wdkj&>Fanghua Hao<&wdkj&>Yongshuo H. Fu Yongshuo H. Fu Yongshuo H. Fu<&wdkj&>Fanghua Hao Fanghua Hao Fanghua Hao
作者机构：
[Zhang, Xuan; Chen, Shouzhi; Zhang, Jing; Wu, Zhaofei; Geng, Xiaojun; Fu, Yongshuo H.] Beijing Normal Univ, Coll Water Sci, Beijing 100875, Peoples R China.;[Geng, Xiaojun] Minist Water Resources, Gen Inst Water Resources & Hydropower Planning &, Beijing, Peoples R China.;[Hao, Fanghua; Wu, Hao] Cent China Normal Univ, Coll Urban & Environm Sci, Wuhan 430079, Peoples R China.;[Tang, Jing] Lund Univ, Dept Phys Geog & Ecosyst Sci, Lund, Sweden.;[Tang, Jing] Univ Copenhagen, Dept Biol, Terr Ecol Sect, Copenhagen, Denmark.
通讯机构：
[Yongshuo H. Fu; Fanghua Hao; Yongshuo H. Fu Yongshuo H. Fu Yongshuo H. Fu; Fanghua Hao Fanghua Hao Fanghua Hao] C;College of Water Sciences, Beijing Normal University, Beijing, China<&wdkj&>College of Urban and Environmental Sciences, Central China Normal University, Wuhan, China
关键词：
autumnal foliar senescence;climatic warming;green season;spring leaf-out;thermal season
摘要：
Global warming leads to substantial changes in the thermal conditions for vegetative growth. Based on in situ and remote sensing‐based phenological observations, we show that global warming is extending both the thermal (potential) and green (actual) season of temperate deciduous trees, but green season extensions lag behind the thermal season by 7.9–11.1 days and this mismatch was mainly driven by tree's leaf‐out dates did not follow proportionately the strong advance in the thermal season onset. Our results call for caution when using thermal sums to predict future changes in plant vegetative growth or any processes involving plant development. Abstract Over the past decades, global warming has led to a lengthening of the time window during which temperatures remain favorable for carbon assimilation and tree growth, resulting in a lengthening of the green season. The extent to which forest green seasons have tracked the lengthening of this favorable period under climate warming, however, has not been quantified to date. Here, we used remote sensing data and long‐term ground observations of leaf‐out and coloration for six dominant species of European trees at 1773 sites, for a total of 6060 species–site combinations, during 1980–2016 and found that actual green season extensions (GS: 3.1 ± 0.1 day decade−1) lag four times behind extensions of the potential thermal season (TS: 12.6 ± 0.1 day decade−1). Similar but less pronounced differences were obtained using satellite‐derived vegetation phenology observations, that is, a lengthening of 4.4 ± 0.13 and 7.5 ± 0.13 day decade−1 for GS and TS, respectively. This difference was mainly driven by the larger advance in the onset of the thermal season compared to the actual advance of leaf‐out dates (spring mismatch: 7.2 ± 0.1 day decade−1), but to a less extent caused by a phenological mismatch between GS and TS in autumn (2.4 ± 0.1 day decade−1). Our results showed that forest trees do not linearly track the new thermal window extension, indicating more complex interactions between winter and spring temperatures and photoperiod and a justification of demonstrating that using more sophisticated models that include the influence of chilling and photoperiod is needed to accurately predict spring phenological changes under warmer climate. They urge caution if such mechanisms are omitted to predict, for example, how vegetative health and growth, species distribution and crop yields will change in the future.
期刊：
Pest Management Science,2023年79(7):2591-2602 ISSN：1526-498X
通讯作者：
Ran Meng<&wdkj&>Ran Meng Ran Meng Ran Meng
作者机构：
[Meng, Ran; Lv, Zhengang; Zhou, Longfei; Xu, Binyuan; Sun, Rui] Huazhong Agr Univ, Coll Resources & Environm, Wuhan, Peoples R China.;[Meng, Ran] HIT Inst Artificial Intelligence Co Ltd, Harbin, Peoples R China.;[Yang, Wanneng; Chen, Gengshen] Huazhong Agr Univ, Natl Ctr Plant Gene Res Wuhan, Natl Key Lab Crop Genet Improvement, Hubei Hongshan Lab, Wuhan, Peoples R China.;[Liang, Linlin] Chinese Acad Sci, Aerosp Informat Res Inst, Beijing, Peoples R China.;[Zhao, Feng] Cent China Normal Univ, Coll Urban & Environm Sci, Key Lab Geog Proc Anal & Simulat Hubei Prov, Wuhan, Peoples R China.
通讯机构：
[Ran Meng; Ran Meng Ran Meng Ran Meng] C;College of Resources and Environment, Huazhong Agricultural University, Wuhan, China<&wdkj&>HIT Institute for Artificial Intelligence Co. Ltd, Harbin, China
