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Link to original content: https://api.crossref.org/works/10.3390/RS10050735
{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,7,20]],"date-time":"2024-07-20T11:33:14Z","timestamp":1721475194987},"reference-count":47,"publisher":"MDPI AG","issue":"5","license":[{"start":{"date-parts":[[2018,5,10]],"date-time":"2018-05-10T00:00:00Z","timestamp":1525910400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"Based on 541 Landsat images between 1988 and 2016, the normalized difference vegetation indices (NDVIs) of the wetland vegetation at Xitugou (XTG) and Wowachi (WWC) inside the Dunhuang Yangguan National Nature Reserve (YNNR) in northwest China were calculated for assessing the impacts of climate change on wetland vegetation in the YNNR. It was found that the wetland vegetation at the XTG and WWC had both shown a significant increasing trend in the past 20\u201330 years and the increase in both the annual mean temperature and annual peak snow depth over the Altun Mountains led to the increase of the wetland vegetation. The influence of the local precipitation on the XTG wetland vegetation was greater than on the WWC wetland vegetation, which demonstrates that in extremely arid regions, the major constraint to the wetland vegetation is the availability of water in soils, which is greatly related to the surface water detention and discharge of groundwater. At both XTG and WWC, the snowmelt from the Altun Mountains is the main contributor to the groundwater discharge, while the local precipitation plays a lesser role in influencing the wetland vegetation at the WWC than at the XTG, because the wetland vegetation grows on a relatively flat terrain at the WWC, while it grows on a stream channel at the XTG.<\/jats:p>","DOI":"10.3390\/rs10050735","type":"journal-article","created":{"date-parts":[[2018,5,10]],"date-time":"2018-05-10T07:48:27Z","timestamp":1525938507000},"page":"735","source":"Crossref","is-referenced-by-count":9,"title":["Evaluation of Climate Change Impacts on Wetland Vegetation in the Dunhuang Yangguan National Nature Reserve in Northwest China Using Landsat Derived NDVI"],"prefix":"10.3390","volume":"10","author":[{"ORCID":"http:\/\/orcid.org\/0000-0003-4373-7566","authenticated-orcid":false,"given":"Feifei","family":"Pan","sequence":"first","affiliation":[{"name":"Department of Geography and the Environment, University of North Texas, Denton, TX 76203, USA"}]},{"given":"Jianping","family":"Xie","sequence":"additional","affiliation":[{"name":"Dunhuang Yangguan National Nature Reserve Administration and Management Bureau, Dunhuang 736200, Gansu, China"}]},{"given":"Juming","family":"Lin","sequence":"additional","affiliation":[{"name":"Dunhuang Yangguan National Nature Reserve Administration and Management Bureau, Dunhuang 736200, Gansu, China"}]},{"given":"Tingwei","family":"Zhao","sequence":"additional","affiliation":[{"name":"Dunhuang Yangguan National Nature Reserve Administration and Management Bureau, Dunhuang 736200, Gansu, China"}]},{"given":"Yongyuan","family":"Ji","sequence":"additional","affiliation":[{"name":"Yangguan Museum, Dunhuang 736200, Gansu, China"}]},{"given":"Qi","family":"Hu","sequence":"additional","affiliation":[{"name":"College of Resources and Environmental Sciences, China Agricultural University, Beijing 100193, China"}]},{"given":"Xuebiao","family":"Pan","sequence":"additional","affiliation":[{"name":"College of Resources and Environmental Sciences, China Agricultural University, Beijing 100193, China"}]},{"given":"Cheng","family":"Wang","sequence":"additional","affiliation":[{"name":"Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China"}]},{"ORCID":"http:\/\/orcid.org\/0000-0001-6979-170X","authenticated-orcid":false,"given":"Xiaohuan","family":"Xi","sequence":"additional","affiliation":[{"name":"Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China"}]}],"member":"1968","published-online":{"date-parts":[[2018,5,10]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"391","DOI":"10.1016\/S0277-3791(99)00071-2","article-title":"Past global changes and their significance for the future","volume":"19","author":"Bradley","year":"2000","journal-title":"Quat. Sci. Rev."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"1353","DOI":"10.1126\/science.288.5470.1353","article-title":"1000 years of climate change","volume":"288","author":"Bradley","year":"2000","journal-title":"Science"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"1499","DOI":"10.1126\/science.1093877","article-title":"European seasonal and annual temperature variability, trends, and extremes since 1500","volume":"303","author":"Luterbacher","year":"2004","journal-title":"Science"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"14773","DOI":"10.1073\/pnas.0907610106","article-title":"The physical basis for increases in precipitation extremes in simulations of 21st-century climate change","volume":"106","author":"Schneider","year":"2009","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"925","DOI":"10.1002\/wcc.142","article-title":"Attribution of climate variations and trends to human influences and natural variability","volume":"2","author":"Trenberth","year":"2011","journal-title":"Wiley Interdiscip. Rev. Clim. Chang."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"389","DOI":"10.1038\/416389a","article-title":"Ecological responses to recent climate change","volume":"416","author":"Walther","year":"2002","journal-title":"Nature"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"193","DOI":"10.3354\/cr019193","article-title":"Observed coherent changes in climatic extremes during the second half of the twentieth century","volume":"19","author":"Frich","year":"2002","journal-title":"Clim. Res."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"233","DOI":"10.1126\/science.1140746","article-title":"How much more rain will global warming bring?","volume":"317","author":"Wentz","year":"2007","journal-title":"Science"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"1167","DOI":"10.1016\/j.envint.2005.03.004","article-title":"Climate change and changes in global precipitation patterns: What do we know?","volume":"31","author":"Dore","year":"2005","journal-title":"Environ. Int."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"71","DOI":"10.1007\/s11273-008-9119-1","article-title":"Wetlands and global climate change: The role of wetland restoration in a changing world","volume":"17","author":"Erwin","year":"2009","journal-title":"Wetl. Ecol. Manag."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"149","DOI":"10.1007\/BF02691304","article-title":"Climate change impacts on U.S. coastal and marine ecosystems","volume":"25","author":"Scavia","year":"2002","journal-title":"Estuaries"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"313","DOI":"10.1111\/j.1752-1688.2000.tb04270.x","article-title":"Climate change: Potential impacts and interactions in wetlands of the United States","volume":"36","author":"Burkett","year":"2000","journal-title":"J. Am. Water Resour. Assoc."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"281","DOI":"10.1007\/s11273-009-9169-z","article-title":"Multispectral and hyperspectral remote sensing for identification and mapping of wetland vegetation: A review","volume":"18","author":"Adam","year":"2010","journal-title":"Wetl. Ecol. Manag."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"131","DOI":"10.1007\/s10661-007-9855-3","article-title":"Remote sensing of aquatic vegetation: Theory and applications","volume":"140","author":"Silva","year":"2008","journal-title":"Environ. Monit. Assess."},{"key":"ref_15","first-page":"399","article-title":"High density biomass estimation for wetland vegetation using WorldView-2 imagery and random forest regression algorithm","volume":"18","author":"Mutanga","year":"2012","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s11273-006-9001-y","article-title":"Recent papyrus swamp habitat loss and conservation implications in western Kenya","volume":"15","author":"Owino","year":"2007","journal-title":"Wetl. Ecol. Manag."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"1037","DOI":"10.1016\/j.ecoleng.2010.04.016","article-title":"Plant photosynthesis and its influence on removal efficiencies in constructed wetlands","volume":"36","author":"Huang","year":"2010","journal-title":"Ecol. Eng."},{"key":"ref_18","first-page":"48","article-title":"Monitoring vegetation systems in the Great Plains with ERTS","volume":"Volume 1","author":"Rouse","year":"1974","journal-title":"Proceedings of the 3rd Earth Resource Technology Satellite (ERTS) Symposium"},{"key":"ref_19","unstructured":"Deering, D.W., Rouse, J.W., Haas, R.H., and Schell, J.A. (1975). Measuring forage production of grazing units from Landsat MSS data. Proceedings of the 10th International Symposium on Remote Sensing of Environment, University of Michigan."},{"key":"ref_20","unstructured":"Deering, D.W. (1978). Rangeland Reflectance Characteristics Measured by Aircraft and Spacecraft Sensors. [Ph.D. Dissertation, Texas A&M University]."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"503","DOI":"10.1016\/j.tree.2005.05.011","article-title":"Using the satellite-derived NDVI to assess ecological responses to environmental change","volume":"20","author":"Pettorelli","year":"2005","journal-title":"Trends Ecol. Evol."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"721","DOI":"10.1046\/j.1365-2699.1998.2540721.x","article-title":"Inter-annual variability of NDVI and its relationship to climate for North American shrublands and grasslands","volume":"25","author":"Peruelo","year":"1998","journal-title":"J. Biogeogr."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"2113","DOI":"10.3390\/rs5052113","article-title":"Trend change detection in NDVI time series: Effects of inter-annual; variability and methodology","volume":"5","author":"Forkel","year":"2013","journal-title":"Remote Sens."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"4799","DOI":"10.3390\/rs5104799","article-title":"Global trends in seasonality of normalized difference vegetation index (NDVI), 1982\u20132011","volume":"5","author":"Eastman","year":"2013","journal-title":"Remote Sens."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"4229","DOI":"10.3390\/rs5094229","article-title":"Recent declines in warming and vegetation greening trends over Pan-Arctic Tundra","volume":"5","author":"Bhatt","year":"2013","journal-title":"Remote Sens."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"1484","DOI":"10.3390\/rs5031484","article-title":"Global latitudinal-asymmetric vegetation growth trends and their driving mechanisms: 1982\u20132009","volume":"5","author":"Mao","year":"2013","journal-title":"Remote Sens."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"203","DOI":"10.3390\/rs3020203","article-title":"Environmental drivers of NDVI-based vegetation phenology in Central Asia","volume":"3","author":"Kariyeva","year":"2011","journal-title":"Remote Sens."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"3263","DOI":"10.3390\/rs6043263","article-title":"Changes in vegetation growth dynamics and relations with climate over China\u2019s landmass from 1982 to 2011","volume":"6","author":"Xu","year":"2014","journal-title":"Remote Sens."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"2093","DOI":"10.3390\/rs5052093","article-title":"Divergent Arctic-Boreal vegetation changes between North America and Eurasia over the past 30 years","volume":"5","author":"Bi","year":"2013","journal-title":"Remote Sens."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"120","DOI":"10.3390\/rs4010120","article-title":"Detecting climate effects on vegetation in northen mixed prairie using NOAA AVHRR 1-km time series NDVI data","volume":"4","author":"Li","year":"2012","journal-title":"Remote Sens."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"13233","DOI":"10.3390\/rs71013233","article-title":"Spatial and temporal patterns of global NDVI trends: Correlations with climate and human factors","volume":"7","author":"Liu","year":"2015","journal-title":"Remote Sens."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"2449","DOI":"10.3390\/rs70302449","article-title":"Climate contributions to vegetation variations in Central Asian Drylands: Pre-and Post-USSR collapse","volume":"7","author":"Zhou","year":"2015","journal-title":"Remote Sens."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"8337","DOI":"10.3390\/rs6098337","article-title":"NDVI-based long-term vegetation dynamics and its response to climatic change in the Mongolian Plateau","volume":"6","author":"Bao","year":"2014","journal-title":"Remote Sens."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"9998","DOI":"10.3390\/rs70809998","article-title":"Dynamic response of satellite-derived vegetation growth to climate change in the Three North Shelter Forest region in China","volume":"7","author":"He","year":"2015","journal-title":"Remote Sens."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"11163","DOI":"10.3390\/rs70911163","article-title":"NDVI-based analysis on the influence of climate change and human activities on vegetation restoration in the Shaanxi-Gansu-Ningxia Region, Central China","volume":"7","author":"Li","year":"2015","journal-title":"Remote Sens."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"9895","DOI":"10.3390\/rs6109895","article-title":"Is forest restoration in the Southwest China karst promoted mainly by climate change or human induced factors?","volume":"6","author":"Cai","year":"2014","journal-title":"Remote Sens."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"15517","DOI":"10.3390\/rs71115517","article-title":"Changes in growing season vegetation and their associated driving forces in China during 2001\u20132012","volume":"7","author":"Liu","year":"2015","journal-title":"Remote Sens."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"11105","DOI":"10.3390\/rs70911105","article-title":"Interannual variations in growing\u2013season NDVI and its correlation with climate variables in the southwest karst region of China","volume":"7","author":"Hou","year":"2015","journal-title":"Remote Sens."},{"key":"ref_39","doi-asserted-by":"crossref","unstructured":"Zhang, R., Ouyang, Z., Xie, X., Guo, H., Tan, D., Xiao, X., Qi, J., and Zhao, B. (2016). Impact of climate change on vegetation growth in arid northwest of China from 1982 to 2011. Remote Sens., 8.","DOI":"10.3390\/rs8050364"},{"key":"ref_40","doi-asserted-by":"crossref","unstructured":"Gao, Q., Schwartz, M., Zhu, W., Wan, Y., Qing, X., Ma, X., Liu, S., Williamson, M.A., Peters, C.B., and Li, Y. (2016). Changes in global grassland productivity during 1982 to 2011 attributable to climatic factors. Remote Sens., 8.","DOI":"10.3390\/rs8050384"},{"key":"ref_41","doi-asserted-by":"crossref","unstructured":"Huang, K., Zhang, Y., Zhu, J., Liu, Y., Zu, J., and Zhang, J. (2016). The influence of climate change and human activities on vegetation dynamics in the Qinghai-Tibet Plateau. Remote Sens., 8.","DOI":"10.3390\/rs8100876"},{"key":"ref_42","doi-asserted-by":"crossref","unstructured":"Tang, B., Wu, D., Zhao, X., Zhou, T., Zhao, W., and Wei, H. (2017). The observed impacts of wind farms on local vegetation growth in northern China. Remote Sens., 9.","DOI":"10.3390\/rs9040332"},{"key":"ref_43","doi-asserted-by":"crossref","unstructured":"Xia, G., and Zhou, L. (2017). Detecting wind farm impacts on local vegetation growth in Texas and Illinois using MODIS vegetation greenness measurements. Remote Sens., 9.","DOI":"10.3390\/rs9070698"},{"key":"ref_44","unstructured":"Brown, R.D., and Brasnett, B. (2017). Canadian Meteorological Centre (CMC) Daily Snow Depth Analysis Data, 2017, Version 1."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"893","DOI":"10.1016\/j.rse.2009.01.007","article-title":"Summary of current radiometric calibration coefficients for Landsat MSS < TM, ETM+, and EO-1 ALIO sensors","volume":"113","author":"Chander","year":"2009","journal-title":"Remote Sens. Environ."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"57","DOI":"10.1016\/j.rse.2015.12.024","article-title":"Characterization of Landsat-7 to Landsat-8 reflective wavelength and normalized difference vegetation index continuity","volume":"185","author":"Roy","year":"2016","journal-title":"Remote Sens. Environ."},{"key":"ref_47","doi-asserted-by":"crossref","unstructured":"IPCC (2013). Climate Change 2013: The Physical Science Basis Technical Summary, Intergovernmental Panel on Climate Change.","DOI":"10.1017\/CBO9781107415324"}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/10\/5\/735\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,6,10]],"date-time":"2024-06-10T20:42:33Z","timestamp":1718052153000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/10\/5\/735"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,5,10]]},"references-count":47,"journal-issue":{"issue":"5","published-online":{"date-parts":[[2018,5]]}},"alternative-id":["rs10050735"],"URL":"https:\/\/doi.org\/10.3390\/rs10050735","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,5,10]]}}}