Relationship of ndvi pine forests with temperature and precipitation in the Lower Amur Region

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Abstract

The authors research linear links between the vegetation index NDVI of pine forests, climate characteristics and geographical directions in the Lower Amur region. The relationship of NDVI with precipitation in the cold period is negative (rs=-0.49). The link of NDVI with mean annual and the warm period temperature is positive (rs=0.43 and 0.52 respectively). To the southwest and to the south, NDVI of pine forests increases (rs=0.51), and precipitation in the cold period decreases. To the north, NDVI decreases (rs=-0.44) in conditions of climatic cooling.

About the authors

P.S. Van

Объединенная дирекция государственных природных заповедников и национальных парков Хабаровского края «Заповедное Приамурье»;
Институт комплексного анализа региональных проблем ДВО РАН

Email: vanpolina8710@mail.ru
ORCID iD: 0000-0001-7588-7003
Russian Federation, ул. Серышева 60, г. Хабаровск, 680000; ул. Шолом-Алейхема 4, г. Биробиджан, 679016

L.S. Sharaya

ВНИИ агрохимии им. Д.Н. Прянишникова, ул. Прянишникова

Author for correspondence.
Email: l_sharaya@mail.ru
ORCID iD: 0000-0003-3073-8148
Russian Federation, 31А, г. Москва, 127434

References

  1. Van P.S., Sharaya L.S. Spatial distribution of pine forest vegetation index NDVI in the Lower Amur River region. Biota i sreda prirodnykh territorii, 2025, vol. 13, no. 1, pp. 43–52. (In Russ.). doi: 10.25221/2782-1978_2025_1_3.
  2. Van P.S., Sharaya L.S. Spatial climatic trends in the Lower Amur region, in XVII nauchnoe soveshchanie geografov Sibiri i Dal’nego Vostoka: k 50-letiyu BAM i pamyati akad. P.Ya. Baklanova posvyashchaetsya (XVII scientific meeting of geographers of Siberia and the Far East: dedicated to the 50th anniversary of BAM railway and the memory of academician P. Ya. Baklanov). Irkutsk: V.B. Sochava Institute of Geography SB RAS, 2024, pp. 81–83. (In Russ.). EDN: OUOAEN.
  3. Global’nye izmeneniya prirodnoi sredy-2001 (Global Changes in the Natural Environment-2001), N.L. Dobretsov, V.I. Kovalenko Eds. Novosibirsk: Geo Publ., 2001. 373 p. (In Russ.).
  4. Kolesnikov B.P. Abstract of forest formations of Primorye and Amur Region, in Akademiku V.N. Sukachevu k 75-letiyu so dnya rozhdeniya: sbornik rabot po geobotanike, lesovedeniyu, paleogeografii i floristike (Academician V.N. Sukachev on the 75th anniversary of his birth: collection of works on geobotany, forestry, paleogeography and floristry). Sochava V.B. Ed. Moscow: USSR AS, 1956, pp. 286–305. (In Russ.).
  5. Fiziko-geograficheskoe raionirovanie SSSR: kharakteristika regional’nykh edinits (Physical-geographical zoning of the USSR: characteristics of regional units), N.A. Gvozdetsky Ed. Moscow: Moscow State University, 1968. 575 p. (In Russ.).
  6. Sputnikovoe kartografirovanie rastitel’nogo pokrova Rossii (Satellite mapping of vegetation cover in Russia), S.A. Bartalev, V.A. Egorov, V.O. Zharko et al. Moscow: Institute of Space Research RAS, 2016. 208 p. (In Russ.).
  7. Shary P.A., Sharaya L.S. Change in NDVI of forest ecosystems in Northern Caucasus as a function of topography and climate. Lesovedenie, 2014, no. 5, pp. 83–90. (In Russ.).
  8. An assessment of the SRTM topographic products. Technical Report JPL D-31639, E. Rodriguez, C.S. Morris, J.E. Belz et al. Pasadena, California: Jet Propulsion Laboratory, 2005. 143 p.
  9. Hijmans R.J. Cameron S.E., Parra J.L., Jones P.G., Jarvis A. Very high resolution interpolated climate surfaces for global land areas. Int. J. Climatol., 2005, vol. 25, pp. 1965–1978.
  10. Wood J. Overview of software packages used in geomorphometry, in Geomorphometry: concepts, software, applications. Developments in Soil Science, T. Hengl, H.I. Reuter Eds. Amsterdam: Elsevier, 2009, vol. 33, part 10, pp. 257–267. doi: 10.1016/S0166-2481(08)00010-X.

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