Effects of climate change on vegetation and snow cover area in Gilgit Baltistan using MODIS data

. 2023 Feb ; 30 (7) : 19149-19166. [epub] 20221012

Jazyk angličtina Země Německo Médium print-electronic

Typ dokumentu časopisecké články

Perzistentní odkaz   https://www.medvik.cz/link/pmid36223023

Grantová podpora
E151030101 State Key Laboratory of Desert and Oasis Ecology

Odkazy

PubMed 36223023
DOI 10.1007/s11356-022-23445-3
PII: 10.1007/s11356-022-23445-3
Knihovny.cz E-zdroje

The Hindukush-Karakoram-Himalaya (HKH) mountain ranges are the sources of Asia's most important river systems, which provide fresh water to 1.4 billion inhabitants in the region. Environmental and socioeconomic conditions are affected in many ways by climate change. Globally, climate change has received widespread attention, especially regarding seasonal and annual temperatures. Snow cover is vulnerable to climate warming, particularly temperature variations. By employing Moderate Resolution Imaging Spectroradiometer (MODIS) datasets and observed data, this study investigated the seasonal and interannual variability using snow cover, vegetation and land surface temperature (LST), and their spatial and temporal trend on different elevations from 2001 to 2020 in these variables in Gilgit Baltistan (GB), northern Pakistan. The study region was categorized into five elevation zones extending from < 2000 to > 7000 masl. Non-parametric Mann-Kendall trend tests and Sen's slope estimates indicate snow cover increases throughout the winter, but decreases significantly between June and July. In contrast, GB has an overall increasing annual LST trend. Pearson correlation coefficient (PCC) reveals a significant positive relationship between vegetation and LST (PCC = 0.73) and a significant negative relationship between LST and snow cover (PCC = - 0.74), and vegetation and snow cover (PCC = - 0.78). Observed temperature data and MODIS LST have a coefficient of determination greater than 0.59. Snow cover decreases at 3000-2000 masl elevations while increases at higher 5000 masl elevations.The vegetation in low and mid-elevation < 4000 masl zones decreases significantly annually. The temperature shows a sharply increasing trend at lower 2000-3000 masl elevations in the autumn, indicating the shifting of the winter seasons at this elevation zone. These findings better explain the spatiotemporal variations in snow cover, vegetation, and LST at various elevation zones and the interactions between these parameters at various elevations across the HKH region.

Zobrazit více v PubMed

Abbas S, Yaseen M, Latif Y, Waseem M, Muhammad S, Kebede Leta M, Sher S, Ali Imran M, Adnan M, Khan TH (2022) Spatiotemporal analysis of climatic extremes over the Upper Indus Basin, Pakistan. Water 14(11):1718 DOI

Adnan M, Nabi G, Kang S, Zhang G, Adnan RM, Anjum MN, Iqbal M, Ali AF (2017) Snowmelt runoff modelling under projected climate change patterns in the Gilgit River Basin of Northern Pakistan. Polish J Environ Stud 26(3):525–542 DOI

Ahmed M, Husain T, Sheikh AH, Hussain SS, Siddiqui MF (2006) Phytosociology and structure of Himalayan forests from different climatic zones of Pakistan. Pak J Bot 38(2):361

Alcaraz-Segura D, Cabello J, Paruelo JM, Delibes M (2009) Use of descriptors of ecosystem functioning for monitoring a national park network: a remote sensing approach. Enviro Managt 43(1):38–48

Ali S, Khan G, Hassan W, Qureshi JA, Bano I (2021) Assessment of glacier status and its controlling parameters from 1990 to 2018 of Hunza Basin, Western Karakorum. Environ Sci Pollut Res 28(44):63178–63190 DOI

Arif H, Mehmood SA, Ahmad HH (2021) Spatiotemporal variations in snow cover using Google Earth engine in Gilgit-Baltistan, Pakistan. Hydroy Water Res

Azfar Hussain SA, Begum S, Ali IHH (2019) Climate change perspective in mountain area: impact and adaptations in naltar valley, western himalaya, Pakistan. Fresenius Environ Bull 28:6683–6691

Bartlett CA, Ghoshal S (1993) Beyond the M-form: Toward a managerial theory of the firm. Strategic Managt J 14(S2):23–46 DOI

Bibi L, Khan AA, Khan G, Ali K, Qureshi J, Jan IU (2019) Snow cover trend analysis using modis snow products: a case of Shayok River Basin in Northern Pakistan. J Himalayan Earth Sci 52(2)

Biggs TW, Whitaker TM (2012) Critical elevation zones of snowmelt during peak discharges in a mountain river basin. J Hydroy 438:52–65 DOI

Bilal H, Chamhuri S, Mokhtar MB, Kanniah KD (2019) Recent snow cover variation in the Upper Indus Basin of Gilgit Baltistan, Hindukush Karakoram Himalaya. J Mt Sci 16(2):296–308 DOI

Buytaert W, Cuesta-Camacho F, Tobón C (2011) Potential impacts of climate change on the environmental services of humid tropical alpine regions. Global Eco and Biogeography 20(1):19–33 DOI

Chen X, Su Z, Ma Y, Liu S, Yu Q, Xu Z (2014) Development of a 10-year (2001–2010) 0.1 data set of land-surface energy balance for mainland China. Atmospheric Chem Phys 14(23):13097–13117

Cong N, Wang T, Nan H, Ma Y, Wang X, Myneni RB, Piao S (2013) Changes in satellite-derived spring vegetation green-up date and its linkage to climate in China from 1982 to 2010: a multimethod analysis. Glob Change Biol 19(3):881–891 DOI

Cornelius C, Estrella N, Franz H, Menzel A (2013) Linking altitudinal gradients and temperature responses of plant phenology in the Bavarian Alps. Plant Bio 15:57–69 DOI

De Jong R, de Bruin S, de Wit A, Schaepman ME, Dent DL (2011) Analysis of monotonic greening and browning trends from global NDVI time-series. Remote Sens Environ 115(2):692–702 DOI

Dharpure JK, Patel A, Goswami A, Kulkarni AV, Snehmani. (2020) Spatiotemporal snow cover characterization and its linkage with climate change over the Chenab river basin, western Himalayas. Gisci Remote Sens 57(7):882–906 DOI

Dharpure JK, Goswami A, Patel A, Kulkarni AV, Snehmani. (2021) Assessment of snow cover variability and its sensitivity to hydrometeorological factors in the Karakoram and Himalayan region. Hydrol Sci J 66(15):2198–2215 DOI

Diaz HF, Bradley RS (1997) Temperature variations during the last century at high elevation sites. Climatic change at high elevation sites. Springer, Dordrecht, pp 21–47 DOI

Diodato N, Bellocchi G, Tartari G (2012) How do Himalayan areas respond to global warming? Int J Climatol 32(7):975–982 DOI

Esri R (2011) ArcGIS desktop: release 10. Environmental Systems Research Institute, CA

Fowler H, Archer D (2006) Conflicting signals of climatic change in the Upper Indus Basin. J Clim 19(17):4276–4293 DOI

Fu T, Liang H, Gao H, Liu J (2021) The Taihang Mountain Region of North China is experiencing a significant warming trend. Sustainability 13(2):856 DOI

IPCC, Climate Change (2007) Synthesis Report. In: Core Writing Team, Pachauri, RK, Reisinger A (eds) Contribution of Working Groups I, II and III to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. IPCC, Geneva, Switzerland, pp 104

Gafurov A, Bárdossy A (2009) Cloud removal methodology from MODIS snow cover product. Hydrol Earth Syst Sci 13(7):1361–1373 DOI

Gao Y, Xie H, Yao T, Xue C (2010) Integrated assessment on multi-temporal and multi-sensor combinations for reducing cloud obscuration of MODIS snow cover products of the Pacific Northwest USA. Remote Sens Environ 114(8):1662–1675 DOI

Gioli G, Khan T, Scheffran J (2014) Climatic and environmental change in the Karakoram: making sense of community perceptions and adaptation strategies. Reg Environ Chang 14(3):1151–1162 DOI

Grippa M, Kergoat L, Le Toan T, Mognard N, Delbart N, l’Hermitte J, Vicente‐Serrano S (2005) The impact of snow depth and snowmelt on the vegetation variability over central Siberia. Geophys Res Lett 32(21)

Guo J, Hu Y, Xiong Z, Yan X, Ren B, Bu R (2017) Spatiotemporal variations of growing-season NDVI associated with climate change in Northeastern China’s Permafrost Zone. Polish J Environ Stud 26(4):1521–1529 DOI

Guo D, Wang C, Zang S, Hua J, Lv Z, Lin Y (2021) Gap-filling of 8-day terra MODIS daytime land surface temperature in high-latitude cold region with Generalized Additive Models (GAM). Remote Sensing 13(18):3667 DOI

Hall D, Riggs G, Salomonson V (2006) MODIS/Terra Snow Cover 5-Min L2 Swath 500m. Version, 5(2010168.1725), 2011167–2011750

Hall DK, Riggs GA (2007) Accuracy assessment of the MODIS snow products. Hydrol Process Int J 21(12):1534–1547 DOI

Hansen J, Ruedy R, Glascoe J, Sato M (1999) GISS analysis of surface temperature change. J Geophys Res: Atmos 104(D24):30997–31022 DOI

Harrell FE Jr (2015) Regression modeling strategies: with applications to linear models, logistic and ordinal regression, and survival analysis. Springer, Cham DOI

Hasson S, Lucarini V, Khan MR, Petitta M, Bolch T, Gioli G (2014) Early 21st century snow cover state over the western river basins of the Indus River system. Hydrol Earth Syst Sci 18(10):4077–4100 DOI

Huang W, Chen F, Feng S, Chen J, Zhang X (2013) Interannual precipitation variations in the mid-latitude Asia and their association with large-scale atmospheric circulation. Chin Sci Bull 58(32):3962–3968 DOI

Huang F, Feng T, Guo Z, Li L (2021) Impact of winter snowfall on vegetation greenness in Central Asia. Remote Sens 13(21):4205 DOI

Hussain M, Mumtaz S (2014) Climate change and managing water crisis: Pakistan’s perspective. Revi Environ Health 29(1–2):71–77

Hussain D, Khan AA, Hassan SNU, Naqvi SAA, Jamil A (2021) A time series assessment of terrestrial water storage and its relationship with hydro-meteorological factors in Gilgit-Baltistan region using GRACE observation and GLDAS-Noah model. SN Appl Sci 3(5):1–11 DOI

Hwang T, Song C, Vose JM, Band LE (2011) Topography-mediated controls on local vegetation phenology estimated from MODIS vegetation index. Landsc Ecol 26(4):541–556 DOI

Immerzeel W, Wanders N, Lutz A, Shea J, Bierkens M (2015) Reconciling high-altitude precipitation in the upper Indus basin with glacier mass balances and runoff. Hydrol Earth Syst Sci 19(11):4673–4687 DOI

Imran S (2017) Tourism development in Gilgit Baltistan, situation analysis and Investment opportunities. Government of Gilgit Baltistan, Pakistan. Retrieved March, 1

Iqbal Z, Shahid S, Ahmed K, Ismail T, Nawaz N (2019) Spatial distribution of the trends in precipitation and precipitation extremes in the sub-Himalayan region of Pakistan. Theor Appl Climatol 137(3):2755–2769 DOI

Jost G, Weiler M, Gluns DR, Alila Y (2007) The influence of forest and topography on snow accumulation and melt at the watershed-scale. J Hydrol 347(1–2):101–115 DOI

Khan AA, Hussain D, Ali K, Khan G, Ali M, Jamil A (2020a) Time series assessment of the relationship between land surface temperature due to change in elevation: a case study from Hindukush-Himalayan Region (HKH). Arab J Geosci 13(13):1–13 DOI

Khan G, Xi C, Khan B, Qureshi JA, Khan H, Bano I (2020b) Spatiotemporal change analysis of snow cover in response to climate (in-situ temperature) over the Upper Indus Basin, Pakistan. J Himal Earth Sci 53(1)

Kiran H, Gerlitz JY, Hoermann B (2011) Understanding mountain poverty in the Hindu Kush-Himalayas: regional report for Afghanistan, Bangladesh, Bhutan, China, India, Myanmar, Nepal, and Pakistan. International centre for integrated mountain development (ICIMOD)

Knowles N, Dettinger MD, Cayan DR (2006) Trends in snowfall versus rainfall in the western United States. J Clim 19(18):4545–4559 DOI

Kreyling J (2010) Winter climate change: a critical factor for temperate vegetation performance. Ecology 91(7):1939–1948 DOI

Latif Y, Yaoming M, Yaseen M, Muhammad S, Wazir MA (2020) Spatial analysis of temperature time series over the Upper Indus Basin (UIB) Pakistan. Theor Appl Climatol 139(1):741–758 DOI

Lauterbach S, Witt R, Plessen B, Dulski P, Prasad S, Mingram J, Gleixner G, Hettler-Riedel S, Stebich M, Schnetger B (2014) Climatic imprint of the mid-latitude Westerlies in the Central Tian Shan of Kyrgyzstan and teleconnections to North Atlantic climate variability during the last 6000 years. Holocene 24(8):970–984 DOI

Legault G, Cusa M (2015) Temperature and delayed snowmelt jointly affect the vegetative and reproductive phenologies of four sub-Arctic plants. Polar Biol 38(10):1701–1711 DOI

Li H, Li X, Xiao P (2016) Impact of sensor zenith angle on MOD10A1 data reliability and modification of snow cover data for the Tarim River Basin. Remote Sens 8(9):750 DOI

Li X, Jing Y, Shen H, Zhang L (2019a) The recent developments in spatio-temporally continuous snow cover product generation. Hydrol Earth Syst Sci Discuss 1–28

Li Y, Chen Y, Li Z (2019b) Developing daily cloud-free snow composite products from MODIS and IMS for the Tienshan Mountains. Earth Space Sci 6(2):266–275 DOI

Liang T, Zhang X, Xie H, Wu C, Feng Q, Huang X, Chen Q (2008) Toward improved daily snow cover mapping with advanced combination of MODIS and AMSR-E measurements. Remote Sens Environ 112(10):3750–3761 DOI

Liu J, Rasul G (2007) Climate change, the Himalayan mountains, and ICIMOD. Sustain Mt Dev 53:11–14

Liu Q, Yang Z, Han F, Wang Z, Wang C (2016) NDVI-based vegetation dynamics and their response to recent climate change: a case study in the Tianshan Mountains, China. Environ Earth Sci 75(16):1–15 DOI

Lu X, Zhang W, Wang S, Zhang B, Niu Q, Liu J, Chen H, Gao H (2021) Spatial-temporal variability of snow cover over the Amur River Basin inferred from MODIS daily snow products in recent decades. Sci Cold Arid Reg 12(6):418–429

Masih I (2011) Understanding Hydrological Variability for Improved Water Management in the Semi-Arid Karkheh Basin, Iran: UNESCO-IHE PhD Thesis. CRC Press

Masson-Delmotte V, Zhai P, Pörtner HO, Roberts D, Skea J, Shukla PR et al (2018). Summary for Policymakers. Global Warming of 1.5 C. An IPCC Special Report on the Impacts of Global Warming of 1.5 C Above pre-Industrial Levels., Global Warming of 1.5 C. An IPCC Special Report on the Impacts of Global Warming of 1.5 C Above Pre-Industrial Levels and Related Global Greenhouse gas Emission Pathways, in the Context of Strengthening the Global Response to the Threat of Climate Change

Mattar C, Fuster R, Perez T (2022) Application of a cloud removal algorithm for snow-covered areas from daily MODIS imagery over Andes Mountains. Atmosphere 13(3):392 DOI

Menon S, Koch D, Beig G, Sahu S, Fasullo J, Orlikowski D (2010) Black carbon aerosols and the third polar ice cap. Atmos Chem Phys 10(10):4559–4571 DOI

Mote PW, Hamlet AF, Clark MP, Lettenmaier DP (2005) Declining mountain snowpack in western North America. Bull Am Meteorol Soc 86(1):39–50 DOI

Munawar S, Udelhoven T (2020) Land change syndromes identification in temperate forests of Hindukush Himalaya Karakorum (HHK) mountain ranges. Int J Remote Sens 41(20):7735–7756 DOI

Negi HS, Kulkarni A, Semwal B (2009) Estimation of snow cover distribution in Beas basin, Indian Himalaya using satellite data and ground measurements. J Earth Syst Sci 118(5):525–538 DOI

Nepal S, Khatiwada KR, Pradhananga S, Kralisch S, Samyn D, Bromand MT, Jamal N, Dildar M, Durrani F, Rassouly F (2021) Future snow projections in a small basin of the Western Himalaya. Sci Total Environ 795:148587 DOI

Nicholls RJ, Cazenave A (2010) Sea-level rise and its impact on coastal zones. Sci 328(5985):1517–1520 DOI

Nizamani AA, Shah AA (2004) A review of forest policy trends for community participation in Pakistan. Policy Trend Report 2004:28–34

Önöz B, Bayazit M (2003) The power of statistical tests for trend detection. Turk J Eng Environ Sci 27(4):247–251

Pang G, Wang X, Yang M (2017) Using the NDVI to identify variations in, and responses of, vegetation to climate change on the Tibetan Plateau from 1982 to 2012. Quatern Int 444:87–96 DOI

Parajka J, Blöschl G (2006) Validation of MODIS snow cover images over Austria. Hydrol Earth Syst Sci 10(5):679–689 DOI

Parajka J, Blöschl G (2008) Spatio‐temporal combination of MODIS images–potential for snow cover mapping. Water Resour Res 44(3)

Pedregosa F, Varoquaux G, Gramfort A, Michel V, Thirion B, Grisel O, Blondel M, Prettenhofer P, Weiss R, Dubourg V (2011) Scikit-learn: machine learning in Python. J Mach Learn Res 12:2825–2830

Pepin N, Bradley R, Diaz H, Baraer M, Caceres E, Forsythe N, Fowler H, Greenwood G, Hashmi M, Liu X (2015) Elevation-dependent warming in mountain regions of the world. Nat Clim Chang 5:424–430 DOI

Qin B, Cao B, Li H, Bian Z, Hu T, Du Y, Yang Y, Xiao Q, Liu Q (2020) Evaluation of six high-spatial resolution clear-sky surface upward longwave radiation estimation methods with MODIS. Remote Sens 12(11):1834 DOI

Räsänen A, Juutinen S, Kalacska M, Aurela M, Heikkinen P, Mäenpää K, Rimali A, Virtanen T (2020) Peatland leaf-area index and biomass estimation with ultra-high resolution remote sensing. Gisci Remote Sens 57(7):943–964 DOI

Rasmussen R, Liu C, Ikeda K, Gochis D, Yates D, Chen F, Tewari M, Barlage M, Dudhia J, Yu W (2011) High-resolution coupled climate runoff simulations of seasonal snowfall over Colorado: a process study of current and warmer climate. J Clim 24(12):3015–3048 DOI

Rees HG, Collins DN (2006) Regional differences in response of flow in glacier-fed Himalayan rivers to climatic warming. Hydrol Process 20(10):2157–2169 DOI

RGI Consortium (2017) Randolph glacier inventory–a dataset of global glacier outlines: Version 6.0. Global Land Ice Measurements from Space, Colorado, USA, Tech. Rep

Riihimäki H, Heiskanen J, Luoto M (2017) The effect of topography on arctic-alpine aboveground biomass and NDVI patterns. Int J Appl Earth Obs Geoinf 56:44–53

Rittger K, Painter TH, Dozier J (2013) Assessment of methods for mapping snow cover from MODIS. Adv Water Resour 51:367–380 DOI

Robinson DA, Dewey KF, Heim RR (1993) Global snow cover monitoring: an update. Bull Am Meteor Soc 74(9):1689–1696 DOI

Rosenzweig C, Karoly D, Vicarelli M, Neofotis P, Wu Q, Casassa G, Menzel A, Root TL, Estrella N, Seguin B (2008) Attributing physical and biological impacts to anthropogenic climate change. Nature 453(7193):353–357 DOI

Scherler D, Bookhagen B, Strecker MR (2011) Spatially variable response of Himalayan glaciers to climate change affected by debris cover. Nat Geosci 4(3):156–159 DOI

Schober P, Boer C, Schwarte LA (2018) Correlation coefficients: appropriate use and interpretation. Anesth Analg 126(5):1763–1768 DOI

Shafeeque M, Luo Y, Wang X, Sun L (2019) Revealing vertical distribution of precipitation in the glacierized upper indus basin based on multiple datasets. J Hydrometeorol 20(12):2291–2314 DOI

Shafeeque M, Luo Y, Wang X, Sun L (2020) Altitudinal distribution of meltwater and its effects on glacio-hydrology in glacierized catchments, Central Asia. JAWRA J Am Water Resour Assoc 56(1):30–52 DOI

Shafeeque M, Luo Y (2021) A multi-perspective approach for selecting CMIP6 scenarios to project climate change impacts on glacio-hydrology with a case study in Upper Indus river basin. J of Hydro 599:126466

Shahid M, Rahman KU, Haider S, Gabriel HF, Khan AJ, Pham QB, Pande CB, Linh NTT, Anh DT (2021) Quantitative assessment of regional land use and climate change impact on runoff across Gilgit watershed. Environ Earth Sci 80(22):1–18 DOI

Shen M, Cong N, Cao R (2015) Temperature sensitivity as an explanation of the latitudinal pattern of green-up date trend in Northern Hemisphere vegetation during 1982–2008. Int J Climatol 35(12):3707–3712 DOI

Smola AJ, Schölkopf B (2004) A tutorial on support vector regression. Stat Comput 14(3):199–222 DOI

Sun J, Qin X (2016) Precipitation and temperature regulate the seasonal changes of NDVI across the Tibetan Plateau. Environ Earth Sci 75(4):1–9 DOI

Sun J, Cheng G, Li W, Sha Y, Yang Y (2013) On the variation of NDVI with the principal climatic elements in the Tibetan Plateau. Remote Sens 5(4):1894–1911 DOI

Wang S, Wang X, Chen G, Yang Q, Wang B, Ma Y, Shen M (2017) Complex responses of spring alpine vegetation phenology to snow cover dynamics over the Tibetan Plateau, China. Sci Total Environ 593:449–461 DOI

Wipf S, Rixen C (2010) A review of snow manipulation experiments in Arctic and alpine tundra ecosystems. Polar Res 29(1):95–109

Xia Q, Gao X, Chu W, Sorooshian S (2012) Estimation of daily cloud‐free, snow‐covered areas from MODIS based on variational interpolation. Water Resour Res 48(9)

Xie P, Arkin PA (1997) Global precipitation: A 17-year monthly analysis based on gauge observations, satellite estimates, and numerical model outputs. Bull Am Meteor Soc 78(11):2539–2558 DOI

Xie J, Kneubühler M, Garonna I, Notarnicola C, De Gregorio L, De Jong R, Chimani B, Schaepman ME (2017) Altitude-dependent influence of snow cover on alpine land surface phenology. J Geophys Res 122(5):1107–1122 DOI

Xie J, Jonas T, Rixen C, de Jong R, Garonna I, Notarnicola C, Asam S, Schaepman ME, Kneubühler M (2020) Land surface phenology and greenness in Alpine grasslands driven by seasonal snow and meteorological factors. Sci Total Environ 725:138380 DOI

Yan E, Wang G, Lin H, Xia C, Sun H (2015) Phenology-based classification of vegetation cover types in Northeast China using MODIS NDVI and EVI time series. Int J Remote Sens 36(2):489–512 DOI

Yang T, Li Q, Zou Q, Hamdi R, Cui F, Li L (2022) Impact of snowpack on the land surface phenology in the Tianshan Mountains, Central Asia. Remote Sens 14(14):3462 DOI

Yi Y, Liu S, Zhu Y, Wu K, Xie F, Saifullah M (2021) Spatiotemporal heterogeneity of snow cover in the central and western Karakoram Mountains based on a refined MODIS product during 2002–2018. Atmos Res 250:105402 DOI

Yu Z, Liu S, Wang J, Sun P, Liu W, Hartley DS (2013) Effects of seasonal snow on the growing season of temperate vegetation in C hina. Glob Change Biol 19(7):2182–2195 DOI

Zeng S, Parol F, Riedi J, Cornet C, Thieuleux F (2011) Examination of POLDER/PARASOL and MODIS/Aqua cloud fractions and properties representativeness. J Clim 24(16):4435–4450 DOI

Zhang J (2021) Recent slowdown in the decline of Arctic sea ice volume under increasingly warm atmospheric and oceanic conditions. Geophy Research Letters 48(18):2021 DOI

Zhang T, Wooster MJ, Xu W (2017) Approaches for synergistically exploiting VIIRS I-and M-Band data in regional active fire detection and FRP assessment: a demonstration with respect to agricultural residue burning in Eastern China. Remote Sens Environ 198:407–424 DOI

Zhao L, Li Y, Xu S, Zhou H, Gu S, Yu G, Zhao X (2006) Diurnal, seasonal and annual variation in net ecosystem CO2 exchange of an alpine shrubland on Qinghai-Tibetan plateau. Glob Change Biol 12(10):1940–1953 DOI

Zhu X (2016) GIS for environmental applications: a practical approach. Routledge DOI

Zou KH, Tuncali K, Silverman SG (2003) Correlation and simple linear regression. Radiology 227(3):617–628 DOI

Najít záznam

Citační ukazatele

Pouze přihlášení uživatelé

Možnosti archivace

Nahrávání dat ...