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NFI4
stem number
tree species (56 classes)
unit of reference: economic region
unit: n/ha
unit of evaluation: accessible forest without shrub forest NFI3/NFI4
grid: 1.4 x 1.4 km grid
state2009/17
	tree species (56 classes)
	Abies alba		Larix decidua/L. kaempferi		Picea abies		Pinus cembra		Pinus mugo arborea		Pinus mugo prostrata		Pinus nigra		Pinus strobus		Pinus sylvestris		Pseudotsuga menziesii		Taxus baccata		other conifers		Acer campestre		Acer opalus		Acer platanoides		Acer pseudoplatanus		Aesculus hippocastanum		Alnus glutinosa		Alnus incana		Alnus viridis		Betula pendula		Betula pubescens		Carpinus betulus		Castanea sativa		Fagus sylvatica		Fraxinus excelsior		Fraxinus ornus		Ilex aquifolium		Juglans regia		Laburnum anagyroides		Malus sylvestris		Ostrya carpinifolia		Populus alba, P. canescens		Populus nigra		Populus sp.		Populus tremula		Prunus avium		Prunus padus		Pyrus communis		Quercus cerris		Quercus petraea		Quercus pubescens		Quercus robur		Quercus rubra		Robinia pseudoacacia		Salix sp.		Sorbus aria		Sorbus aucuparia		Sorbus torminalis		Tilia cordata		Tilia platyphyllos		Ulmus glabra		Ulmus minor		other broadleaves		other shrubs		indeterminable		total
economic region	n/ha	± %	n/ha	± %	n/ha	± %	n/ha	± %	n/ha	± %	n/ha	± %	n/ha	± %	n/ha	± %	n/ha	± %	n/ha	± %	n/ha	± %	n/ha	± %	n/ha	± %	n/ha	± %	n/ha	± %	n/ha	± %	n/ha	± %	n/ha	± %	n/ha	± %	n/ha	± %	n/ha	± %	n/ha	± %	n/ha	± %	n/ha	± %	n/ha	± %	n/ha	± %	n/ha	± %	n/ha	± %	n/ha	± %	n/ha	± %	n/ha	± %	n/ha	± %	n/ha	± %	n/ha	± %	n/ha	± %	n/ha	± %	n/ha	± %	n/ha	± %	n/ha	± %	n/ha	± %	n/ha	± %	n/ha	± %	n/ha	± %	n/ha	± %	n/ha	± %	n/ha	± %	n/ha	± %	n/ha	± %	n/ha	± %	n/ha	± %	n/ha	± %	n/ha	± %	n/ha	± %	n/ha	± %	n/ha	± %	n/ha	± %	n/ha	± %
Western Jura	94	5	1	47	112	6	0	.	0	.	0	.	0	66	0	82	9	19	0	88	3	38	0	.	2	28	2	31	1	30	25	9	0	100	1	46	1	71	0	.	0	70	0	.	4	27	0	.	121	5	14	13	0	.	0	100	0	.	0	73	0	100	0	.	0	.	0	.	0	.	0	88	1	26	0	.	0	.	0	.	10	24	1	100	1	38	0	.	1	82	1	37	7	15	3	25	0	71	1	38	2	35	1	30	0	100	0	100	0	47	0	.	421	2
Eastern Jura	28	22	3	40	65	17	0	.	0	100	0	.	1	60	0	.	12	25	3	51	3	61	0	100	2	33	0	.	4	38	29	19	0	.	1	72	0	100	0	.	1	62	0	.	5	32	0	.	147	7	33	18	0	.	1	60	2	52	0	.	0	.	0	.	0	100	0	100	0	.	0	.	3	37	0	.	0	.	0	.	12	35	0	.	3	39	2	100	3	79	0	100	4	38	0	100	1	57	9	83	2	43	3	40	0	.	0	.	1	72	0	.	379	4
Western Plateau	39	15	9	44	111	12	0	.	0	.	0	.	0	.	0	.	6	30	3	44	0	.	0	.	2	41	0	.	3	69	19	19	0	100	10	57	1	62	0	.	1	67	0	.	4	47	2	91	93	9	44	14	0	.	0	.	0	100	0	.	0	.	0	.	1	100	1	65	1	67	2	52	3	31	1	61	0	100	0	.	20	29	0	.	8	27	0	.	0	100	2	39	1	74	2	63	0	.	2	79	3	83	5	42	0	100	0	.	2	49	0	.	400	4
Central Plateau	82	10	3	30	111	9	0	.	0	.	0	.	0	.	0	54	5	41	3	27	1	64	0	.	0	70	0	77	1	60	18	17	0	.	5	49	1	59	0	.	1	44	0	.	2	39	0	100	93	7	21	15	0	.	0	.	1	51	0	.	0	.	0	.	0	.	0	100	0	100	0	.	6	21	0	.	0	.	0	.	3	38	0	100	5	23	0	.	0	.	1	41	0	100	0	100	0	100	3	43	1	92	2	40	0	.	0	.	0	70	0	.	370	4
Eastern Plateau	36	12	4	22	118	7	0	.	0	.	0	.	0	.	0	71	9	13	2	42	4	43	0	72	0	71	0	.	2	41	32	10	0	.	4	32	1	57	0	.	2	40	0	.	7	18	0	100	89	6	32	10	0	.	0	.	0	46	0	.	0	.	0	.	0	.	0	100	0	.	0	63	3	20	1	53	0	.	0	.	3	20	1	90	6	20	0	58	1	68	1	37	2	49	0	81	0	71	3	26	1	46	2	25	0	100	0	.	1	52	0	.	368	3
Western Pre-Alps	71	14	4	66	235	8	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	100	30	16	0	.	0	.	5	49	0	.	0	100	0	.	0	.	0	.	52	16	16	22	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	76	0	72	0	.	0	.	0	.	0	.	0	.	2	42	0	.	0	.	5	33	5	48	4	35	0	.	0	100	0	100	1	64	0	.	0	.	1	100	0	.	434	5
Central Pre-Alps	96	6	1	66	186	6	1	100	6	51	0	100	0	.	0	100	2	55	0	77	1	55	0	.	0	67	0	.	0	64	21	15	0	.	0	.	4	29	0	.	1	53	0	100	0	.	0	.	88	7	13	17	0	.	0	76	0	72	0	.	0	100	0	.	0	.	0	.	0	.	0	74	1	47	0	.	0	.	0	.	0	61	0	.	1	46	0	.	0	.	1	43	1	31	1	31	0	.	1	56	1	66	3	25	0	100	0	.	1	65	0	.	433	3
Eastern Pre-Alps	62	10	2	54	189	7	1	100	0	69	1	73	0	.	0	.	1	45	0	.	2	31	0	100	0	100	0	.	2	53	33	16	0	.	0	.	8	33	0	.	2	45	0	.	1	71	0	.	91	8	28	16	0	.	0	73	0	.	0	.	0	.	0	.	0	.	0	100	0	.	0	.	2	41	0	.	0	.	0	.	0	80	0	.	1	41	0	.	0	.	0	86	1	71	1	37	0	.	2	86	1	50	3	26	0	.	0	.	1	80	0	.	436	4
Northwestern Alps	26	16	6	32	224	7	0	69	4	50	3	77	0	.	0	.	3	86	0	.	0	100	0	71	0	70	6	41	1	60	35	15	0	.	0	.	5	52	0	100	3	58	1	100	0	.	0	100	58	19	16	23	0	.	0	100	0	.	0	.	0	100	0	.	1	100	0	.	0	.	0	100	3	44	0	.	0	.	0	.	5	61	0	.	2	90	0	.	1	100	3	57	3	41	8	29	0	.	5	43	2	61	1	49	0	.	1	100	1	66	0	.	429	4
Central Alps	61	19	0	.	224	10	3	100	9	49	3	67	0	.	0	.	13	38	0	.	0	100	0	.	0	100	0	.	0	73	28	27	0	.	0	.	28	50	0	.	2	50	0	100	0	.	0	.	59	17	24	28	0	.	1	71	0	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	71	0	.	0	.	0	.	2	51	0	.	0	71	0	.	0	.	6	80	4	42	4	47	0	.	6	57	1	71	3	40	0	.	0	.	0	.	0	.	483	6
Northeastern Alps	26	23	12	34	201	10	0	.	0	.	0	99	3	100	0	.	7	70	0	.	1	77	0	.	0	100	0	.	2	70	40	19	0	.	0	.	12	45	0	.	1	59	0	.	0	.	0	.	90	15	17	26	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	100	1	48	0	.	0	.	0	.	0	74	0	.	0	.	0	.	0	.	1	100	7	61	3	49	0	.	1	48	1	75	5	36	0	.	0	.	0	100	0	.	433	6
Southwestern Alps	16	18	85	7	162	6	17	16	3	37	1	53	0	.	0	.	38	16	0	.	0	100	0	.	2	41	1	37	1	64	8	20	0	.	0	.	8	34	0	.	12	19	0	100	0	83	2	63	18	20	9	23	0	.	0	100	0	72	0	61	0	.	0	.	0	77	0	100	0	.	3	32	3	28	0	100	0	100	0	.	3	39	8	29	0	78	0	.	1	71	5	29	4	22	5	24	0	.	3	51	3	34	0	.	0	.	0	.	0	50	0	.	423	3
Southeastern Alps	7	19	41	9	251	4	21	14	21	19	5	28	0	.	0	.	15	17	0	.	0	.	0	.	0	73	0	.	0	71	4	27	0	.	0	.	16	25	0	.	7	28	0	100	0	.	0	100	13	16	6	28	0	.	0	.	0	60	0	.	0	.	0	.	0	.	0	100	0	100	1	49	1	61	0	100	0	.	0	.	1	49	0	.	0	.	0	.	0	.	2	36	1	37	2	33	0	.	0	75	0	100	0	74	0	.	0	.	0	53	0	.	417	3
Southern Alps	11	19	49	8	78	8	0	56	1	92	0	100	0	.	0	.	2	49	0	100	0	.	0	.	1	55	0	.	0	73	9	19	0	100	3	33	7	27	0	.	44	11	0	.	1	63	69	10	87	9	18	15	1	50	2	41	0	60	0	60	0	.	16	25	0	.	0	74	0	.	2	36	4	25	0	.	0	.	0	51	9	22	3	30	1	35	0	.	5	33	5	24	5	18	1	34	0	.	9	18	1	44	1	46	0	.	0	71	4	23	0	.	451	3
Switzerland	45	3	22	4	154	2	4	10	4	15	1	22	0	50	0	38	10	8	1	20	1	21	0	48	1	15	1	22	1	16	20	4	0	62	2	20	6	12	0	100	9	9	0	51	2	12	9	10	76	3	18	5	0	50	0	28	0	22	0	37	0	65	2	25	0	51	0	39	0	58	1	18	2	9	0	39	0	77	0	51	5	11	1	22	2	11	0	74	1	25	2	12	3	9	2	10	0	35	3	14	1	16	2	10	0	50	0	58	1	15	0	.	418	1

<SaveDate>25.04.2020 00:18:02</SaveDate>
<ArchiveNr>303151</ArchiveNr>
<NAFIDASParameterset xml:lang="de-CH" Version="2019.1.4">
<Auswertungsart Code="1">Zustand</Auswertungsart>
<Inventuren>
<Inventur Code="450" Index="0">NFI4</Inventur>
</Inventuren>
<Zielgroessen>
<Zielgroesse Code="73" Index="0">stem number</Zielgroesse>
</Zielgroessen>
<Netze>
<Netz Code="410" Index="0">1.4 x 1.4 km grid</Netz>
</Netze>
<Auswertungseinheit Code="1429">accessible forest without shrub forest NFI3/NFI4</Auswertungseinheit>
<Befundeinheiten>
<Befundeinheit Code="2207" Index="0" IsCateg="1">tree species (56 classes)</Befundeinheit>
</Befundeinheiten>
<DsStratifizierung Code="3">Vegetationshöhe plus Wald-/Nichtwald Stratifizierung (2-phasig)</DsStratifizierung>
<Aussageeinheit Code="366">economic region</Aussageeinheit>
<AussageeinheitAnzeigen Code="1">anzeigen</AussageeinheitAnzeigen>
<DiffProInv/>
<Zeitbezug/>
<Flaechenbezug Code="1">pro Hektar</Flaechenbezug>
<AnzProbeAnzeigen Code="2">ausblenden</AnzProbeAnzeigen>
<Fehlerangabe Code="2">in %</Fehlerangabe>
<Zahlenformat Dezimalstellen="0" Einheit="1"/>
<Bezugstyp/>
<Sprache Code="1">Deutsch</Sprache>
<Restriktionen/>
<Transponiert Code="2">Ja</Transponiert>
</NAFIDASParameterset>

search result: 1 entry on 1 page

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