000825396 000__ 03195cam\a2200541Ii\4500 000825396 001__ 825396 000825396 005__ 20230306144214.0 000825396 006__ m\\\\\o\\d\\\\\\\\ 000825396 007__ cr\cn\nnnunnun 000825396 008__ 180103s2018\\\\sz\a\\\\ob\\\\000\0\eng\d 000825396 019__ $$a1017588308$$a1018245933$$a1021189824$$a1029655819$$a1032269560 000825396 020__ $$a9783319678313$$q(electronic book) 000825396 020__ $$a3319678310$$q(electronic book) 000825396 020__ $$z9783319678306 000825396 020__ $$z3319678302 000825396 0247_ $$a10.1007/978-3-319-67831-3$$2doi 000825396 035__ $$aSP(OCoLC)on1017736819 000825396 035__ $$aSP(OCoLC)1017736819$$z(OCoLC)1017588308$$z(OCoLC)1018245933$$z(OCoLC)1021189824$$z(OCoLC)1029655819$$z(OCoLC)1032269560 000825396 040__ $$aN$T$$beng$$erda$$epn$$cN$T$$dN$T$$dGW5XE$$dYDX$$dEBLCP$$dUAB$$dAZU$$dUPM$$dOCLCF$$dMERER$$dCOO$$dOCLCQ$$dSTF$$dU3W$$dDKU$$dSNK 000825396 043__ $$af-sa--- 000825396 049__ $$aISEA 000825396 050_4 $$aSD237 000825396 08204 $$a333.75096$$223 000825396 1001_ $$aMucina, L.,$$eauthor. 000825396 24510 $$aVegetation survey and classification of subtropical forests of Southern Africa /$$cLadislav Mucina. 000825396 264_1 $$aCham, Switzerland :$$bSpringer,$$c2018. 000825396 300__ $$a1 online resource :$$billustrations. 000825396 336__ $$atext$$btxt$$2rdacontent 000825396 337__ $$acomputer$$bc$$2rdamedia 000825396 338__ $$aonline resource$$bcr$$2rdacarrier 000825396 347__ $$atext file$$bPDF$$2rda 000825396 4901_ $$aGeobotany studies 000825396 504__ $$aIncludes bibliographical references. 000825396 5050_ $$a1. Introduction: Rationale and Objectives -- 2. Materials and Methods: How to Survey Forests? -- 3. Legacy Data: Some Data-analytical Experiments -- 4. Classification of the Albany Coastal Forests -- 5. Classification of the Pondoland Scarp Forests -- 6. Classification of the Eastern Scarp Forests -- 7. Modelling of Forest-Environmental Relationships -- 8. Lessons for a Forest Vegetation Survey. 000825396 506__ $$aAccess limited to authorized users. 000825396 520__ $$aThis book highlights classification patterns and underlying ecological drivers structuring the vegetation of selected indigenous subtropical forests in South Africa. It uses original field sampling and advanced numerical data analysis to examine three major types of forest? Albany Coastal Forests, Pondoland Coastal Scarp and Eastern Scarp? all of which are of high conservation value. Offering a unique and systematic assessment of South African ecology in unprecedented detail, the book could serve as a model for future vegetation surveys of forests not only in Africa, but also around the globe. 000825396 588__ $$aVendor-supplied metadata. 000825396 650_0 $$aForest site quality$$zSouth Africa. 000825396 650_0 $$aVegetation classification$$zSouth Africa. 000825396 650_0 $$aForest microclimatology$$zSouth Africa. 000825396 650_0 $$aForest ecology$$zSouth Africa. 000825396 650_0 $$aForest ecology$$zSouth Africa$$vClassification. 000825396 77608 $$iPrint version:$$aMucina, L.$$tVegetation survey and classification of subtropical forests of Southern Africa.$$dCham, Switzerland : Springer, 2018$$z9783319678306$$z3319678302$$w(OCoLC)1002128342 000825396 830_0 $$aGeobotany studies. 000825396 852__ $$bebk 000825396 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-67831-3$$zOnline Access$$91397441.1 000825396 909CO $$ooai:library.usi.edu:825396$$pGLOBAL_SET 000825396 980__ $$aEBOOK 000825396 980__ $$aBIB 000825396 982__ $$aEbook 000825396 983__ $$aOnline 000825396 994__ $$a92$$bISE