predicted Canopy

Basic data

Programme name
Source link
Woodland tree costCost of planting a whip or feather en masse in a woodland setting	£
Urban tree costCost of planting a standard tree in an urban setting	£
Target hectaresOptional: Overall target for canopy increase in hectares by the end of the period of prediction
Base yearThe calender year at the start of prediction
Predict for Number of years ahead to predict	years

Name
Status To include or exclude the plan from the programmme	Include Exclude
Plan Type
Plan period	Start year Number of years
Hectares For woodland planting	hectares/annum
Spacing For woodland planting	m
Number of trees For individual trees, -ve for trees which have been lost	number/annum
Age at plantingAge of the tree when planted or when lost	years
Species Planted
Site
Radius increase Override species/site growth rate	mm/annum
Age at maturity Override species/site maturity	years
Life expectancy Override species life expectancy	years
DBH to Canopy model Calculate Canopy width from DBH

Name
Status To include or exclude the plan from the programmme	Include Exclude
Plan Type
Plan period	Start year Number of years
Hectares For woodland planting	hectares/annum
Spacing For woodland planting	m
Number of trees For individual trees, -ve for trees which have been lost	number/annum
Age at plantingAge of the tree when planted or when lost	years
Species Planted
Site
Radius increase Override species/site growth rate	mm/annum
Age at maturity Override species/site maturity	years
Life expectancy Override species life expectancy	years
DBH to Canopy model Calculate Canopy width from DBH

Name
Status To include or exclude the plan from the programmme	Include Exclude
Plan Type
Plan period	Start year Number of years
Hectares For woodland planting	hectares/annum
Spacing For woodland planting	m
Number of trees For individual trees, -ve for trees which have been lost	number/annum
Age at plantingAge of the tree when planted or when lost	years
Species Planted
Site
Radius increase Override species/site growth rate	mm/annum
Age at maturity Override species/site maturity	years
Life expectancy Override species life expectancy	years
DBH to Canopy model Calculate Canopy width from DBH

predicted Canopy

Summary

Name	Highways and landscapes tree planting programme Link
Prediction years	2026 to 2126
Results at	2127
Net trees planted	2,330
Final number of trees	857
Hectares planted	0.0
Final hectares	22.79
Breakeven year
Total cost	£687,350

Plan: year 1 planting

Plan type	Urban
Plan Years	From 2026 to 2026
Planting	650 trees/annum
Age at planting	8 years old
Species	Average species
Site	Average site
Growth rate	4 mm/year, maturity at 60 years
Life expectancy (years)	100
Mortality %/annum	1
Total trees planted	650
Final number of trees	239
Woodland hectares planted	0
Final hectares	6.45
Total cost	£191,750

Plan: year 2/3 planting

Plan type	Urban
Plan Years	From 2027 to 2028
Planting	840 trees/annum
Age at planting	8 years old
Species	Average species
Site	Average site
Growth rate	4 mm/year, maturity at 60 years
Life expectancy (years)	100
Mortality %/annum	1
Total trees planted	1,680
Final number of trees	618
Woodland hectares planted	0
Final hectares	16.34
Total cost	£495,600

Plan and Overall prediction of canopy change by year in hectares.

Year	year 1 planting		year 2/3 planting		Total
	# trees	ha.	# trees	ha.	# trees	ha.
2026	650	0.1204	0	0	650	0.1204
2027	643	0.1509	831	0.1541	1474	0.305
2028	637	0.1845	1646	0.3457	2283	0.5302
2029	630	0.221	1630	0.4272	2260	0.6482
2030	624	0.2604	1614	0.5164	2238	0.7768
2031	618	0.3025	1598	0.6131	2216	0.9156
2032	612	0.3474	1582	0.7169	2194	1.0643
2033	606	0.3948	1566	0.8277	2172	1.2225
2034	600	0.4447	1550	0.9452	2150	1.3899
2035	594	0.4971	1534	1.0691	2128	1.5662
2036	588	0.5517	1520	1.1993	2108	1.751
2037	582	0.6086	1504	1.3355	2086	1.9441
2038	576	0.6677	1490	1.4776	2066	2.1453
2039	570	0.7288	1474	1.6252	2044	2.354
2040	565	0.7919	1460	1.7781	2025	2.57
2041	559	0.8569	1444	1.9363	2003	2.7932
2042	553	0.9237	1430	2.0994	1983	3.0231
2043	548	0.9923	1416	2.2673	1964	3.2596
2044	542	1.0626	1402	2.4397	1944	3.5023
2045	537	1.1345	1388	2.6166	1925	3.7511
2046	532	1.208	1374	2.7976	1906	4.0056
2047	526	1.2829	1360	2.9827	1886	4.2656
2048	521	1.3593	1348	3.1716	1869	4.5309
2049	516	1.4369	1334	3.3642	1850	4.8011
2050	511	1.5159	1320	3.5603	1831	5.0762
2051	506	1.5961	1308	3.7597	1814	5.3558
2052	501	1.6774	1294	3.9624	1795	5.6398
2053	496	1.7599	1282	4.168	1778	5.9279
2054	491	1.8434	1268	4.3765	1759	6.2199
2055	486	1.9278	1256	4.5877	1742	6.5155
2056	481	2.0132	1244	4.8015	1725	6.8147
2057	476	2.0994	1232	5.0178	1708	7.1172
2058	471	2.1865	1218	5.2363	1689	7.4228
2059	467	2.2743	1206	5.4569	1673	7.7312
2060	462	2.3629	1194	5.6796	1656	8.0425
2061	458	2.4521	1182	5.9042	1640	8.3563
2062	453	2.5419	1172	6.1305	1625	8.6724
2063	448	2.6323	1160	6.3584	1608	8.9907
2064	444	2.7233	1148	6.5879	1592	9.3112
2065	440	2.8147	1136	6.8187	1576	9.6334
2066	435	2.9065	1126	7.0508	1561	9.9573
2067	431	2.9987	1114	7.2841	1545	10.2828
2068	427	3.0913	1102	7.5184	1529	10.6097
2069	422	3.1842	1092	7.7537	1514	10.9379
2070	418	3.2773	1080	7.9898	1498	11.2671
2071	414	3.3707	1070	8.2267	1484	11.5974
2072	410	3.4643	1060	8.4642	1470	11.9285
2073	406	3.5581	1050	8.7022	1456	12.2603
2074	402	3.6519	1038	8.9407	1440	12.5926
2075	398	3.7459	1028	9.1795	1426	12.9254
2076	394	3.8399	1018	9.4186	1412	13.2585
2077	390	3.9339	1008	9.6578	1398	13.5917
2078	386	4.0279	998	9.8972	1384	13.9251
2079	382	4.1196	988	10.1365	1370	14.2561
2080	378	4.2091	978	10.373	1356	14.5821
2081	375	4.2965	968	10.6037	1343	14.9002
2082	371	4.3816	958	10.8289	1329	15.2105
2083	367	4.4647	950	11.0485	1317	15.5132
2084	363	4.5456	940	11.2626	1303	15.8082
2085	360	4.6246	930	11.4714	1290	16.096
2086	356	4.7014	922	11.6749	1278	16.3763
2087	353	4.7763	912	11.8733	1265	16.6496
2088	349	4.8493	902	12.0665	1251	16.9158
2089	346	4.9203	894	12.2547	1240	17.175
2090	342	4.9894	884	12.438	1226	17.4274
2091	339	5.0567	876	12.6164	1215	17.6731
2092	335	5.1221	868	12.79	1203	17.9121
2093	332	5.1858	858	12.959	1190	18.1448
2094	329	5.2476	850	13.1233	1179	18.3709
2095	326	5.3078	842	13.283	1168	18.5908
2096	322	5.3661	834	13.4383	1156	18.8044
2097	319	5.4229	824	13.5891	1143	19.012
2098	316	5.4779	816	13.7357	1132	19.2136
2099	313	5.5313	808	13.8779	1121	19.4092
2100	310	5.5831	800	14.016	1110	19.5991
2101	307	5.6334	792	14.15	1099	19.7834
2102	303	5.6821	784	14.2799	1087	19.962
2103	300	5.7292	776	14.4058	1076	20.135
2104	297	5.7749	770	14.5278	1067	20.3027
2105	294	5.819	762	14.6459	1056	20.4649
2106	292	5.8618	754	14.7603	1046	20.6221
2107	289	5.9031	746	14.8709	1035	20.774
2108	286	5.943	738	14.9779	1024	20.9209
2109	283	5.9815	732	15.0813	1015	21.0628
2110	280	6.0187	724	15.1811	1004	21.1998
2111	277	6.0545	718	15.2774	995	21.3319
2112	275	6.089	710	15.3703	985	21.4593
2113	272	6.1222	702	15.4599	974	21.5821
2114	269	6.1542	696	15.5462	965	21.7004
2115	266	6.185	688	15.6292	954	21.8142
2116	264	6.2145	682	15.709	946	21.9235
2117	261	6.2428	676	15.7857	937	22.0285
2118	259	6.2699	668	15.8593	927	22.1292
2119	256	6.2959	662	15.9299	918	22.2258
2120	253	6.3207	656	15.9975	909	22.3182
2121	251	6.3444	648	16.0621	899	22.4065
2122	248	6.3671	642	16.1239	890	22.491
2123	246	6.3886	636	16.1829	882	22.5715
2124	243	6.4091	630	16.2392	873	22.6483
2125	241	6.4285	624	16.2927	865	22.7212
2126	239	6.4469	618	16.3435	857	22.7904

Canopy change year by year in hectares for the prediction period.

Tree plans

A tree programme is defined by a number of overall parameters and one or more plans. Three kinds of plans are supported:

Woodland Planting

Trees are planted in an area with a given spacing between trees. Total canopy area is limited to the area planted.

Individual trees

Each tree can develop a full canopy, so the total area is the sum of the individual canopies.

Tree loss

Trees lost in one year or slowly over a number or years.

The same plan can be undertaken for a number of years in succession.

Examples

2026 BCC plan to plant 2300 trees over 3 years

Bristol City Council announced a plan to plant 650 trees in 2025/6 and 840 trees in each of the following two years to replace trees lost to ash dieback and as part of the effort to reach 20% tree canopy by 2040. The claim is made that this will increase tree canopy by 10 hectares when trees have reached full maturity.

It is assumed that these trees will be planted as individual mature trees. The modelling period relevant to the canopy goal is not full maturity, which could be 100 years but 2040, in 14 years time. This model predicts that the programme will add around 2.5 hectares by 2040 and 23 hectares in 100 years time. This programme will make a significant contribution to trees in streets and parks, provided planting spaces can be found, but the estimated cost of the programme is around £700,000, so it shows just how difficult it is to achieve the 2040 goal.

Modeling approach

Tree growth rate

The first step in modelling the growth of a tree requires the prediction of the Girth (circumference) or equivalently the Diameter at Breast height (DBH) over time. There have been a number of studies of the related problem, that of estimating the age of a tree given its girth. A commonly quoted rule is that trees put on an inch of girth per annum i.e. 4mm radius per annum.

In practice, growth rates depend on species and the site. One source of data is the paper by John White from the Forestry Commission Information Note FCIN12 "Estimating the Age of Large and Veteran Trees in Britain" In this model, the tree puts on rings of constant width up to the age of maturity, and then rings of constant area until senescence. This model is also used in our Tree Age Calculator

Another source which we have not yet integrated is this paper by a Veteran Tree Association

Ring radius /year in mm	Age at Maturity	DBH cm 5 years	DBH cm 25 years	DBH cm 100 years
2	25	2	10	26.23
2	50	2	10	34.53
2	100	2	10	40
3	25	3	15	39.34
3	50	3	15	51.79
3	100	3	15	60
4	25	4	20	52.46
4	50	4	20	69.05
4	100	4	20	80
5	25	5	25	65.57
5	50	5	25	86.31
5	100	5	25	100
6	25	6	30	78.69
6	50	6	30	103.58
6	100	6	30	120
7	25	7	35	91.8
7	50	7	35	120.84
7	100	7	35	140

Lifespan and mortality

Trees have lifespans which depend on a number of factors: species, situation, climate and diseases. Data on the expected lifespan of tree species is sparse and for urban trees even sparser. The table below shows some typical values. To compute the effect of limited lifespan on both the lost tree and the replacement trees, this age is used to compute the mortality of the tree, based on the assumption that annual mortality is constant throughout the life of the tree and that the lifespan represents the actuarial life expectancy = -1/ln(1-mortality). No adjustment is yet made location. Mortality of urban trees, especially in the early, vulnerable years is quite high as the paper by Lara Roman et al shows, where mortality is estimated to be between 3.5 and 5% / annum. The planting site has a particular influence on mortality, with small tree-pits containing structural soil reducing lifespan to 12-15 years.

Lifespan of tree species

This table shows data from Hellis .

Species	Common name	Lifespan	Source
Acer campestre	Field Maple	200	Hellis
Acer platanoides	Norway Maple	150	Hellis
Acer pseudoplatanus	Sycamore	220	Hellis
Acer saccharinum	Silver Maple	150	Hellis
Aesculus hippocastanum	Horse Chestnut	350	Hellis
Ailanthus altissima	Tree of Heaven	200	Hellis
Alnus glutinosa	Common Alder	200	Hellis
Araucaria araucana	Monkey Puzzle	150	Hellis
Betula pendula	Silver Birch	80	Hellis
Carpinus betulus	Hornbeam	300	Hellis
Castanea sativa	Sweet Chestnut	450	Hellis
Catalpa bignoides	Indian Bean Tree	150	Hellis
Cedrus libani	Cedar of Lebanon	350	Hellis
Corylus avellana	Hazel	70	Hellis
Eucalyptus gunnii	Cider Gum Eucalyptus	120	Hellis
Fagus	Beech	200	Hellis
Fraxinus	Ash	200	Hellis
Ginkgo biloba	Ginkgo	250	Hellis
Ilex aquifolium	Holly	120	Hellis
Juglans regia	Walnut	200	Hellis
Larix decidua	European Larch	350	Hellis
Liriodendron tulipifera	Tulip Tree	300	Hellis
Malus	Apple	80	Hellis
Morus nigra	Mulberry	150	Hellis
Nyassa sylvatica	Tupelo	220	Hellis
Picea abies	Norway Spruce	200	Hellis
Pinus pinaster	Maritime Pine	180	Hellis
Pinus sylvestris	Scots Pine	300	Hellis
Platanus x acerifolia	London Plane	400	Hellis
Populus nigra ‘Italica’	Lombardy Poplar	150	Hellis
Populus tremula	Aspen	100	Hellis
Prunus avium	Wild Cherry	150	Hellis
Quercus cocinea	Scarlet Oak	150	Hellis
Quercus rubra	Red Oak	200	Hellis
Quercus rubur	English Oak	350	Hellis
Robinia pseudacacia	Robinia	250	Hellis
Salix fragilis	Crack Willow	100	Hellis
Sorbus aucuparia	Rowan	120	Hellis
Taxus baccata	Yew	400	Hellis
Tilia x europaea	Common Lime	400	Hellis
Ulmus	English Elm	100	Hellis
Ulmus glabra	Wych Elm	250	Hellis

DBH (Diameter at Breast Height) to Canopy

Tree canopy is typically measured by the area as seen from above. For a single tree, this can be measured on the ground by measuring the distance from the trunk to the outer edge at the 4 directions north, south, east and west to find an average radius. Measuring the canopy across an area is more dfficult and several approaches can be used. Our mapping of Canopy area in Bristol uses the i-Tree Canopy method.

Canopy area can be estimated from the DBH in a number of ways.

RPA (Root Protection Area)

Biodiversity Net Gain Calculator 3.1 uses BS 5837 : Trees in relation to design, demolition and construcion - Recommendations. to calculate the habitat area of an urban tree. It is a species-independent method which uses the Root Protection Area (RPA) of a tree as a proxy for its habitat value (effectively canopy). This method calculates RPA radius as 12 * DBH to calculate the RPA in metres.

Allometric modelling

In practice, canopy area will depend on the tree shape and hence the species. The table below shows typical values of the parameters found in research reports and our own analysis of Bristol's urban trees.

Species	a	b	Canopy Area m^2 5cm	Canopy Area m^2 25cm	Canopy Area m^2 50cm	Canopy Area m^2 100cm	Source
BS 5835			1	28	113	452
Abies alba	-0.14	0.4239	9	36	65	118	Pretzch
Abies sachalinensis	-1.10	0.6894	3	29	77	199	Pretzch
Acer campestre	-1.332	0.777	3	33	96	281	BTF
Acer campestre	-0.36	0.45	7	28	52	96	Montiero
Acer negundo	-1.428	0.802	2	32	96	292	BTF
Acer platanoides	-1.232	0.757	3	35	100	285	BTF
Acer platanoides 'Crimson King'	-1.054	0.719	4	39	106	287	BTF
Acer pseudoplatanus	-1.003	0.683	4	34	88	228	BTF
Acer pseudoplatanus	-0.44	0.5339	7	41	85	178	Pretzch
Acer pseudoplatanus 'Purpureum'	-1.494	0.842	2	36	115	369	BTF
Acer saccharinum	-1.005	0.713	4	41	111	299	BTF
Aesculus hippocastanum	-1.188	0.702	3	27	71	188	BTF
Aesculus hippocastanum	-0.55	0.6011	7	50	115	265	Pretzch
Aesculus x carnea	-1.278	0.748	3	30	85	239	BTF
Alnus cordata	-1.12	0.716	3	34	91	245	BTF
Alnus glutinosa	-1.661	0.87	2	31	102	342	BTF
Alnus incana	-1.235	0.742	3	32	88	247	BTF
Alnus nigra	-0.86	0.6507	5	37	91	225	Pretzch
Araucaria cunninghamii	-0.68	0.3899	3	10	17	29	Pretzch
Average species	-0.7129	0.6049	5	37	86	198	Pretzch
Betula pendula	-1.205	0.762	3	38	110	315	BTF
Betula pendula	-0.97	0.6483	4	29	72	177	Pretzch
Betula pendula	-0.4	0.75	16	176	499	1412	Montiero
Betula utilis var. jacquemontii	-1.197	0.808	4	52	160	489	BTF
Buxus sempervirens	0.319	0.336	18	52	82	131	BTF
Carpinus betulus	-1.418	0.804	2	33	99	303	BTF
Carpinus betulus	-0.1744	0.5470	13	75	160	342	Pretzch
Carpinus betulus 'Fastigiata'	-1.728	0.874	2	28	92	311	BTF
Castanea sativa	-1.111	0.68	3	27	70	179	BTF
Cedrus libani	-1.556	0.769	2	20	57	167	BTF
Chamaecyparis lawsoniana	-1.191	0.641	2	18	44	106	BTF
Corylus avellana	0.207	0.288	12	30	45	67	BTF
Corylus colurna	-1.943	0.97	1	33	127	489	BTF
Crataegus monogyna	-0.791	0.501	3	16	33	65	BTF
Crataegus x persimilis 'Prunifolia'	-0.666	0.58	5	35	78	173	BTF
Cupressus macrocarpa	-0.807	0.595	4	29	66	150	BTF
Cupressus x leylandii	-0.719	0.516	4	21	42	86	BTF
Fagus sylvatica	-1.315	0.759	3	30	86	246	BTF
Fagus sylvatica	0.01	0.4710	15	66	128	245	Pretzch
Fagus sylvatica	-0.26	0.68	17	149	382	980	Montiero
Fagus sylvatica 'Purpurea'	-0.92	0.69	5	42	110	287	BTF
Fraxinus angustifolia	-1.055	0.733	4	43	118	326	BTF
Fraxinus excelsior	-1.211	0.752	3	35	100	284	BTF
Fraxinus excelsior	-0.81	0.6052	4	31	71	164	Pretzch
Fraxinus excelsior	-0.34	0.77	19	226	658	1914	Montiero
Fraxinus excelsior	-0.3	0.64	14	106	258	626	Montiero
Ginkgo biloba	-1.446	0.795	2	29	88	264	BTF
Ilex aquifolium	-0.045	0.313	8	22	33	51	BTF
Juglans regia	-1.485	0.84	2	36	115	369	BTF
Khaya senegalensis	-0.59	0.6461	8	62	151	371	Pretzch
Larix decidua	-1.287	0.769	3	34	98	285	BTF
Larix decidua	-1.29	0.7131	2	23	63	169	Pretzch
Liquidambar styraciflua	-1.851	0.977	2	42	162	627	BTF
Liriodendron tulipifera	-1.212	0.739	3	32	90	251	BTF
Malus trilobata	-1.51	0.77	2	22	63	184	BTF
Malus tschonoskii	-1.305	0.71	2	22	60	160	BTF
Metasequoia glyptostroboides	-1.361	0.696	2	18	48	126	BTF
Picea abies	-0.56	0.505	5	26	53	107	BTF
Picea abies	-0.67	0.5083	4	22	44	89	Pretzch
Picea glauca	-1.79	0.8276	1	18	57	179	Pretzch
Pinus nigra	-1.158	0.696	3	27	72	189	BTF
Pinus nigra subsp. laricio	-1.076	0.697	3	32	85	224	BTF
Pinus nigra subsp. nigra	-1.065	0.692	3	32	84	219	BTF
Pinus sylvestris	-1.426	0.744	2	22	61	172	BTF
Pinus sylvestris	-1.03	0.6381	3	24	59	143	Pretzch
Platanus x acerifolia	-0.756	0.643	5	43	106	259	BTF
Platanus × hispanica	-0.55	0.6532	9	70	173	429	Pretzch
Populus alba	-1.019	0.684	4	33	86	223	BTF
Populus nigra	-0.403	0.534	8	44	92	192	BTF
Populus nigra 'Italica'	-0.766	0.493	3	16	32	64	BTF
Populus x canadensis 'Robusta'	-0.815	0.656	5	42	104	259	BTF
Prunus avium	-1.285	0.781	3	37	108	320	BTF
Prunus avium 'Plena'	-1.651	0.925	2	45	161	580	BTF
Prunus cerasifera	-0.593	0.553	6	34	73	156	BTF
Prunus cerasifera 'Pissardii'	-0.843	0.6	4	28	64	146	BTF
Prunus domestica	-0.767	0.593	5	31	70	160	BTF
Prunus lusitanica	0.584	0.168	17	30	38	47	BTF
Prunus padus	-0.704	0.612	6	40	92	216	BTF
Prunus serrulata 'Amanogawa'	-1.107	0.658	3	24	59	147	BTF
Pseudotsuga menziesii	-1.416	0.802	2	32	98	299	BTF
Pseudotsuga menziesii	-1.28	0.7522	3	31	87	248	Pretzch
Pyrus calleryana 'Chanticleer'	-1.683	0.837	2	24	76	242	BTF
Quercus cerris	-1.394	0.805	3	34	105	321	BTF
Quercus ilex	-1.095	0.707	3	33	89	237	BTF
Quercus petraea	-1.756	0.951	2	43	160	597	BTF
Quercus robur	-1.21	0.727	3	30	83	226	BTF
Quercus robur	-1.44	0.8157	2	34	104	323	Pretzch
Quercus robur	-0.42	0.62	10	73	173	410	Montiero
Quercus rubra	-0.898	0.654	4	35	87	215	BTF
Robinia pseudoacacia	-0.814	0.632	5	36	87	208	BTF
Robinia pseudoacacia	-0.43	0.5822	9	56	126	283	Pretzch
Salix alba	-0.689	0.599	5	37	86	197	BTF
Salix caprea	-0.18	0.419	8	33	58	104	BTF
Salix fragilis	-0.413	0.528	8	41	86	178	BTF
Salix x sepulcralis 'Chrysocoma'	-0.691	0.613	6	41	95	223	BTF
Sambucus nigra	0.472	0.13	12	19	22	27	BTF
Sorbus aria	-1.445	0.796	2	29	88	267	BTF
Sorbus aucuparia	-1.023	0.665	3	29	74	186	BTF
Sorbus aucuparia	-0.35	0.4621	7	31	58	110	Pretzch
Sorbus intermedia	-1.306	0.734	2	26	72	199	BTF
Taxus baccata	-0.087	0.412	10	37	66	117	BTF
Taxus baccata 'Fastigiata'	-0.704	0.444	3	13	25	46	BTF
Thuja plicata	-0.493	0.441	5	20	37	68	BTF
Tilia cordata	-1.551	0.835	2	31	97	309	BTF
Tilia cordata	-0.34	0.5728	10	64	141	311	Pretzch
Tilia cordata 'Greenspire'	-1.631	0.938	2	50	185	680	BTF
Tilia platyphyllos	-1.17	0.756	3	39	112	320	BTF
Tilia x euchlora	-0.825	0.665	5	44	110	276	BTF
Tilia x europaea	-1.189	0.692	3	25	65	171	BTF
Ulmus glabra	-1.05	0.733	4	43	119	329	BTF
Ulmus glabra	-0.21	0.5763	13	84	187	417	Pretzch

Reference

BTF : fitted from BCC records
Pretzch : Crown size and growing space requirement of common tree species in urban centres, parks, and forests by Pretzch et al (2015)
Montiero : Growth rates of common urban trees in five cities in Great Britain: A dendrochronological evaluation with an emphasis on the impact of climate (2017)

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<area-m2>66.70752283119405</area-m2> <trees>435</trees> <hectares>2.9065003613695515</hectares> </annual> <annual> <year>2067</year> <age>49</age> <dbh-cm>39.2</dbh-cm> <width-m>9.408000000000001</width-m> <area-m2>69.51595586705598</area-m2> <trees>431</trees> <hectares>2.9987283249573946</hectares> </annual> <annual> <year>2068</year> <age>50</age> <dbh-cm>40</dbh-cm> <width-m>9.6</width-m> <area-m2>72.38229473870884</area-m2> <trees>427</trees> <hectares>3.0913062060043606</hectares> </annual> <annual> <year>2069</year> <age>51</age> <dbh-cm>40.8</dbh-cm> <width-m>9.792</width-m> <area-m2>75.30653944615267</area-m2> <trees>422</trees> <hectares>3.1841933027251352</hectares> </annual> <annual> <year>2070</year> <age>52</age> <dbh-cm>41.6</dbh-cm> <width-m>9.984000000000002</width-m> <area-m2>78.2886899893875</area-m2> <trees>418</trees> <hectares>3.277349933515394</hectares> </annual> <annual> <year>2071</year> <age>53</age> <dbh-cm>42.4</dbh-cm> <width-m>10.175999999999998</width-m> 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<area-m2>97.3976158004066</area-m2> <trees>394</trees> <hectares>3.839851653694468</hectares> </annual> <annual> <year>2077</year> <age>59</age> <dbh-cm>47.2</dbh-cm> <width-m>11.328000000000001</width-m> <area-m2>100.7851071941782</area-m2> <trees>390</trees> <hectares>3.9338657780582413</hectares> </annual> <annual> <year>2078</year> <age>60</age> <dbh-cm>48</dbh-cm> <width-m>11.52</width-m> <area-m2>104.23050442374073</area-m2> <trees>386</trees> <hectares>4.0278665261542965</hectares> </annual> <annual> <year>2079</year> <age>61</age> <dbh-cm>48.78688348316584</dbh-cm> <width-m>11.7088520359598</width-m> <area-m2>107.67590165330324</area-m2> <trees>382</trees> <hectares>4.119607152605194</hectares> </annual> <annual> <year>2080</year> <age>62</age> <dbh-cm>49.56127520554732</dbh-cm> <width-m>11.894706049331358</width-m> <area-m2>111.12129888286579</area-m2> <trees>378</trees> <hectares>4.209123327962523</hectares> </annual> <annual> <year>2081</year> <age>63</age> 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<hectares>4.3816</hectares> </annual> <annual> <year>2083</year> <trees>367</trees> <hectares>4.4647</hectares> </annual> <annual> <year>2084</year> <trees>363</trees> <hectares>4.5456</hectares> </annual> <annual> <year>2085</year> <trees>360</trees> <hectares>4.6246</hectares> </annual> <annual> <year>2086</year> <trees>356</trees> <hectares>4.7014</hectares> </annual> <annual> <year>2087</year> <trees>353</trees> <hectares>4.7763</hectares> </annual> <annual> <year>2088</year> <trees>349</trees> <hectares>4.8493</hectares> </annual> <annual> <year>2089</year> <trees>346</trees> <hectares>4.9203</hectares> </annual> <annual> <year>2090</year> <trees>342</trees> <hectares>4.9894</hectares> </annual> <annual> <year>2091</year> <trees>339</trees> <hectares>5.0567</hectares> </annual> <annual> <year>2092</year> <trees>335</trees> <hectares>5.1221</hectares> </annual> <annual> <year>2093</year> <trees>332</trees> <hectares>5.1858</hectares> </annual> <annual> <year>2094</year> <trees>329</trees> <hectares>5.2476</hectares> </annual> <annual> <year>2095</year> <trees>326</trees> <hectares>5.3078</hectares> </annual> <annual> <year>2096</year> <trees>322</trees> <hectares>5.3661</hectares> </annual> <annual> <year>2097</year> <trees>319</trees> <hectares>5.4229</hectares> </annual> <annual> <year>2098</year> <trees>316</trees> <hectares>5.4779</hectares> </annual> <annual> <year>2099</year> <trees>313</trees> <hectares>5.5313</hectares> </annual> <annual> <year>2100</year> <trees>310</trees> <hectares>5.5831</hectares> </annual> <annual> <year>2101</year> <trees>307</trees> <hectares>5.6334</hectares> </annual> <annual> <year>2102</year> <trees>303</trees> <hectares>5.6821</hectares> </annual> <annual> <year>2103</year> <trees>300</trees> <hectares>5.7292</hectares> </annual> <annual> <year>2104</year> <trees>297</trees> <hectares>5.7749</hectares> </annual> <annual> <year>2105</year> <trees>294</trees> <hectares>5.819</hectares> </annual> <annual> <year>2106</year> <trees>292</trees> <hectares>5.8618</hectares> </annual> <annual> <year>2107</year> <trees>289</trees> <hectares>5.9031</hectares> </annual> <annual> <year>2108</year> <trees>286</trees> <hectares>5.943</hectares> </annual> <annual> <year>2109</year> <trees>283</trees> <hectares>5.9815</hectares> </annual> <annual> <year>2110</year> <trees>280</trees> <hectares>6.0187</hectares> </annual> <annual> <year>2111</year> <trees>277</trees> <hectares>6.0545</hectares> </annual> <annual> <year>2112</year> <trees>275</trees> <hectares>6.089</hectares> </annual> <annual> <year>2113</year> <trees>272</trees> <hectares>6.1222</hectares> </annual> <annual> <year>2114</year> <trees>269</trees> <hectares>6.1542</hectares> </annual> <annual> <year>2115</year> <trees>266</trees> <hectares>6.185</hectares> </annual> <annual> <year>2116</year> <trees>264</trees> <hectares>6.2145</hectares> </annual> <annual> <year>2117</year> <trees>261</trees> <hectares>6.2428</hectares> </annual> <annual> <year>2118</year> <trees>259</trees> <hectares>6.2699</hectares> </annual> <annual> <year>2119</year> <trees>256</trees> <hectares>6.2959</hectares> </annual> <annual> <year>2120</year> <trees>253</trees> <hectares>6.3207</hectares> </annual> <annual> <year>2121</year> <trees>251</trees> <hectares>6.3444</hectares> </annual> <annual> <year>2122</year> <trees>248</trees> <hectares>6.3671</hectares> </annual> <annual> <year>2123</year> <trees>246</trees> <hectares>6.3886</hectares> </annual> <annual> <year>2124</year> <trees>243</trees> <hectares>6.4091</hectares> </annual> <annual> <year>2125</year> <trees>241</trees> <hectares>6.4285</hectares> </annual> <annual> <year>2126</year> <trees>239</trees> <hectares>6.4469</hectares> </annual> </summary-prediction> <analysis> <total-planted>650</total-planted> <hectares-planted>0</hectares-planted> <total-cost>191750</total-cost> <final-trees>239</final-trees> <final-hectares>6.4469</final-hectares> </analysis> </plan> <plan> <predict-start>2026</predict-start> <predict-years>100</predict-years> <predict-end>2126</predict-end> <name>year 2/3 planting</name> <status>include</status> <type>Urban</type> <latin>Average species</latin> <plan-start>2027</plan-start> <plan-years>2</plan-years> <age-at-planting>8</age-at-planting> <site>Average site</site> <plan-end>2028</plan-end> <model>RPA</model> <number>840</number> <hectares>0</hectares> <species> <latin>Average species</latin> <canopy-formula><a>-0.7129</a>0.6049 <source>Pretzch</source> </canopy-formula> <canopy-formula><a>-0.593</a>0.553 <source>BTF</source> <n-trees>66</n-trees> </canopy-formula> <growth-rate> <rate> <site>Good site</site> <age-at-maturity>70</age-at-maturity> <ring-width>5</ring-width> </rate> <rate> <site>Average site</site> <age-at-maturity>60</age-at-maturity> <ring-width>4</ring-width> </rate> <rate> <site>Poor site</site> <age-at-maturity>40</age-at-maturity> <ring-width>3.5</ring-width> </rate> <rate> <site>Inside Woodland</site> <age-at-maturity>100</age-at-maturity> <ring-width>3</ring-width> </rate> </growth-rate> <lifespan> <years>50</years> <source>default</source> </lifespan> </species> <life-expectancy>100</life-expectancy> <mortality>0.009950166029538576</mortality> <rate> <ring-width>4</ring-width> <age-at-maturity>60</age-at-maturity> </rate> <plan-prediction> <annual> <year>2026</year> <trees>0</trees> <hectares>0</hectares> </annual> <annual> <year>2027</year> <age>8</age> <dbh-cm>6.4</dbh-cm> <width-m>1.5360000000000003</width-m> <area-m2>1.8529867453109468</area-m2> <trees>831</trees> <hectares>0.15410213444174375</hectares> </annual> <annual> <year>2028</year> <age>9</age> <dbh-cm>7.2</dbh-cm> <width-m>1.7280000000000002</width-m> <area-m2>2.345186349534167</area-m2> <trees>823</trees> <hectares>0.19309487815784238</hectares> </annual> <annual> <year>2029</year> <age>10</age> <dbh-cm>8</dbh-cm> <width-m>1.92</width-m> <area-m2>2.895291789548353</area-m2> <trees>815</trees> <hectares>0.23601673093915834</hectares> </annual> <annual> <year>2030</year> <age>11</age> <dbh-cm>8.8</dbh-cm> <width-m>2.112</width-m> <area-m2>3.5033030653535078</area-m2> <trees>807</trees> <hectares>0.2827386735894834</hectares> </annual> <annual> <year>2031</year> <age>12</age> <dbh-cm>9.6</dbh-cm> <width-m>2.304</width-m> <area-m2>4.169220176949628</area-m2> <trees>799</trees> <hectares>0.3331343327733777</hectares> </annual> <annual> <year>2032</year> <age>13</age> <dbh-cm>10.4</dbh-cm> <width-m>2.4960000000000004</width-m> <area-m2>4.893043124336719</area-m2> <trees>791</trees> <hectares>0.3870799364861958</hectares> </annual> <annual> <year>2033</year> <age>14</age> <dbh-cm>11.2</dbh-cm> <width-m>2.6879999999999997</width-m> <area-m2>5.674771907514772</area-m2> <trees>783</trees> <hectares>0.4444542701945865</hectares> </annual> <annual> <year>2034</year> <age>15</age> <dbh-cm>12</dbh-cm> <width-m>2.88</width-m> <area-m2>6.514406526483795</area-m2> <trees>775</trees> <hectares>0.5051386336380762</hectares> </annual> <annual> <year>2035</year> <age>16</age> <dbh-cm>12.8</dbh-cm> <width-m>3.0720000000000005</width-m> <area-m2>7.411946981243787</area-m2> <trees>767</trees> <hectares>0.5690167982824599</hectares> </annual> <annual> <year>2036</year> <age>17</age> <dbh-cm>13.6</dbh-cm> <width-m>3.264</width-m> <area-m2>8.367393271794741</area-m2> <trees>760</trees> <hectares>0.6359749654158607</hectares> </annual> <annual> <year>2037</year> <age>18</age> <dbh-cm>14.4</dbh-cm> <width-m>3.4560000000000004</width-m> <area-m2>9.380745398136668</area-m2> <trees>752</trees> <hectares>0.7059017248784331</hectares> </annual> <annual> <year>2038</year> <age>19</age> <dbh-cm>15.2</dbh-cm> <width-m>3.6479999999999997</width-m> <area-m2>10.452003360269554</area-m2> <trees>745</trees> <hectares>0.7786880144167995</hectares> </annual> <annual> <year>2039</year> <age>20</age> <dbh-cm>16</dbh-cm> <width-m>3.84</width-m> <area-m2>11.581167158193413</area-m2> <trees>737</trees> <hectares>0.8542270796544493</hectares> </annual> <annual> <year>2040</year> <age>21</age> <dbh-cm>16.8</dbh-cm> <width-m>4.032</width-m> <area-m2>12.768236791908238</area-m2> <trees>730</trees> <hectares>0.9324144346694182</hectares> </annual> <annual> <year>2041</year> <age>22</age> <dbh-cm>17.6</dbh-cm> <width-m>4.224</width-m> <area-m2>14.013212261414031</area-m2> <trees>722</trees> <hectares>1.0131478231707067</hectares> </annual> <annual> <year>2042</year> <age>23</age> <dbh-cm>18.4</dbh-cm> <width-m>4.4159999999999995</width-m> <area-m2>15.316093566710785</area-m2> <trees>715</trees> <hectares>1.0963271802649983</hectares> </annual> <annual> <year>2043</year> <age>24</age> <dbh-cm>19.2</dbh-cm> <width-m>4.608</width-m> <area-m2>16.676880707798514</area-m2> <trees>708</trees> <hectares>1.181854594805353</hectares> </annual> <annual> <year>2044</year> <age>25</age> <dbh-cm>20</dbh-cm> <width-m>4.8</width-m> <area-m2>18.09557368467721</area-m2> <trees>701</trees> <hectares>1.2696342723136573</hectares> </annual> <annual> <year>2045</year> <age>26</age> <dbh-cm>20.8</dbh-cm> <width-m>4.992000000000001</width-m> <area-m2>19.572172497346877</area-m2> <trees>694</trees> <hectares>1.3595724984687438</hectares> </annual> <annual> <year>2046</year> <age>27</age> <dbh-cm>21.6</dbh-cm> <width-m>5.184000000000001</width-m> <area-m2>21.106677145807502</area-m2> <trees>687</trees> <hectares>1.4515776031521648</hectares> </annual> <annual> <year>2047</year> <age>28</age> <dbh-cm>22.4</dbh-cm> <width-m>5.3759999999999994</width-m> <area-m2>22.699087630059086</area-m2> <trees>680</trees> <hectares>1.5455599250437526</hectares> </annual> <annual> <year>2048</year> <age>29</age> <dbh-cm>23.2</dbh-cm> <width-m>5.568</width-m> <area-m2>24.34940395010165</area-m2> <trees>674</trees> <hectares>1.6414317767591744</hectares> </annual> <annual> <year>2049</year> <age>30</age> <dbh-cm>24</dbh-cm> <width-m>5.76</width-m> <area-m2>26.05762610593518</area-m2> <trees>667</trees> <hectares>1.7391074105218003</hectares> </annual> <annual> <year>2050</year> <age>31</age> <dbh-cm>24.8</dbh-cm> <width-m>5.952000000000001</width-m> <area-m2>27.823754097559682</area-m2> <trees>660</trees> <hectares>1.8385029843613283</hectares> </annual> <annual> <year>2051</year> <age>32</age> <dbh-cm>25.6</dbh-cm> <width-m>6.144000000000001</width-m> <area-m2>29.647787924975148</area-m2> <trees>654</trees> <hectares>1.9395365288316737</hectares> </annual> <annual> <year>2052</year> <age>33</age> <dbh-cm>26.4</dbh-cm> <width-m>6.335999999999999</width-m> <area-m2>31.52972758818156</area-m2> <trees>647</trees> <hectares>2.0421279142407647</hectares> </annual> <annual> <year>2053</year> <age>34</age> <dbh-cm>27.2</dbh-cm> <width-m>6.528</width-m> <area-m2>33.469573087178965</area-m2> <trees>641</trees> <hectares>2.146198818384972</hectares> </annual> <annual> <year>2054</year> <age>35</age> <dbh-cm>28</dbh-cm> <width-m>6.72</width-m> <area-m2>35.46732442196733</area-m2> <trees>634</trees> <hectares>2.251672694780978</hectares> </annual> <annual> <year>2055</year> <age>36</age> <dbh-cm>28.8</dbh-cm> <width-m>6.912000000000001</width-m> <area-m2>37.52298159254667</area-m2> <trees>628</trees> <hectares>2.358474741388044</hectares> </annual> <annual> <year>2056</year> <age>37</age> <dbh-cm>29.6</dbh-cm> <width-m>7.104000000000001</width-m> <area-m2>39.63654459891697</area-m2> <trees>622</trees> <hectares>2.466531869813647</hectares> </annual> <annual> <year>2057</year> <age>38</age> <dbh-cm>30.4</dbh-cm> <width-m>7.295999999999999</width-m> <area-m2>41.80801344107822</area-m2> <trees>616</trees> <hectares>2.5757726749956418</hectares> </annual> <annual> <year>2058</year> <age>39</age> <dbh-cm>31.2</dbh-cm> <width-m>7.4879999999999995</width-m> <area-m2>44.037388119030446</area-m2> <trees>609</trees> <hectares>2.6861274053541253</hectares> </annual> <annual> <year>2059</year> <age>40</age> <dbh-cm>32</dbh-cm> <width-m>7.68</width-m> <area-m2>46.32466863277365</area-m2> <trees>603</trees> <hectares>2.797527933406294</hectares> </annual> <annual> <year>2060</year> <age>41</age> <dbh-cm>32.8</dbh-cm> <width-m>7.871999999999999</width-m> <area-m2>48.669854982307804</area-m2> <trees>597</trees> <hectares>2.9099077268377083</hectares> </annual> <annual> <year>2061</year> <age>42</age> <dbh-cm>33.6</dbh-cm> <width-m>8.064</width-m> <area-m2>51.072947167632954</area-m2> <trees>591</trees> <hectares>3.023201820023417</hectares> </annual> <annual> <year>2062</year> <age>43</age> <dbh-cm>34.4</dbh-cm> <width-m>8.255999999999998</width-m> <area-m2>53.53394518874904</area-m2> <trees>586</trees> <hectares>3.1373467859925053</hectares> </annual> <annual> <year>2063</year> <age>44</age> <dbh-cm>35.2</dbh-cm> <width-m>8.448</width-m> <area-m2>56.052849045656124</area-m2> <trees>580</trees> <hectares>3.252280708829739</hectares> </annual> <annual> <year>2064</year> <age>45</age> <dbh-cm>36</dbh-cm> <width-m>8.64</width-m> <area-m2>58.629658738354166</area-m2> <trees>574</trees> <hectares>3.367943156508002</hectares> </annual> <annual> <year>2065</year> <age>46</age> <dbh-cm>36.8</dbh-cm> <width-m>8.831999999999999</width-m> <area-m2>61.26437426684314</area-m2> <trees>568</trees> <hectares>3.484275154145396</hectares> </annual> <annual> <year>2066</year> <age>47</age> <dbh-cm>37.6</dbh-cm> <width-m>9.024000000000001</width-m> <area-m2>63.956995631123135</area-m2> <trees>563</trees> <hectares>3.60121915768088</hectares> </annual> <annual> <year>2067</year> <age>48</age> <dbh-cm>38.4</dbh-cm> <width-m>9.216</width-m> <area-m2>66.70752283119405</area-m2> <trees>557</trees> <hectares>3.7187190279624143</hectares> </annual> <annual> <year>2068</year> <age>49</age> <dbh-cm>39.2</dbh-cm> <width-m>9.408000000000001</width-m> <area-m2>69.51595586705598</area-m2> <trees>551</trees> <hectares>3.8367200052417445</hectares> </annual> <annual> <year>2069</year> <age>50</age> <dbh-cm>40</dbh-cm> <width-m>9.6</width-m> <area-m2>72.38229473870884</area-m2> <trees>546</trees> <hectares>3.955168684069904</hectares> </annual> <annual> <year>2070</year> <age>51</age> <dbh-cm>40.8</dbh-cm> <width-m>9.792</width-m> <area-m2>75.30653944615267</area-m2> <trees>540</trees> <hectares>4.074012988587716</hectares> </annual> <annual> <year>2071</year> <age>52</age> <dbh-cm>41.6</dbh-cm> <width-m>9.984000000000002</width-m> <area-m2>78.2886899893875</area-m2> <trees>535</trees> <hectares>4.193202148205562</hectares> </annual> <annual> <year>2072</year> <age>53</age> <dbh-cm>42.4</dbh-cm> <width-m>10.175999999999998</width-m> <area-m2>81.32874636841322</area-m2> <trees>530</trees> <hectares>4.31268667366683</hectares> </annual> <annual> <year>2073</year> <age>54</age> <dbh-cm>43.2</dbh-cm> <width-m>10.368000000000002</width-m> <area-m2>84.42670858323001</area-m2> <trees>525</trees> <hectares>4.432418333489514</hectares> </annual> <annual> <year>2074</year> <age>55</age> <dbh-cm>44</dbh-cm> 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<year>2119</year> <age>99</age> <dbh-cm>72.6239629874327</dbh-cm> <width-m>17.429751116983848</width-m> <area-m2>238.60099637667955</area-m2> <trees>331</trees> <hectares>7.907836471558643</hectares> </annual> <annual> <year>2120</year> <age>100</age> <dbh-cm>73.1464284842397</dbh-cm> <width-m>17.555142836217527</width-m> <area-m2>242.046393606242</area-m2> <trees>328</trees> <hectares>7.942205105293183</hectares> </annual> <annual> <year>2121</year> <age>101</age> <dbh-cm>73.66518852212349</dbh-cm> <width-m>17.679645245309636</width-m> <area-m2>245.49179083580458</area-m2> <trees>324</trees> <hectares>7.975106870096104</hectares> </annual> <annual> <year>2122</year> <age>102</age> <dbh-cm>74.1803208405032</dbh-cm> <width-m>17.803277001720765</width-m> <area-m2>248.93718806536705</area-m2> <trees>321</trees> <hectares>8.00656755445201</hectares> </annual> <annual> <year>2123</year> <age>103</age> <dbh-cm>74.69190049797899</dbh-cm> <width-m>17.926056119514957</width-m> <area-m2>252.38258529492967</area-m2> <trees>318</trees> <hectares>8.036612578874648</hectares> </annual> <annual> <year>2124</year> <age>104</age> <dbh-cm>75.19999999999996</dbh-cm> <width-m>18.04799999999999</width-m> <area-m2>255.82798252449223</area-m2> <trees>315</trees> <hectares>8.06526700067642</hectares> </annual> <annual> <year>2125</year> <age>105</age> <dbh-cm>75.70468941881998</dbh-cm> <width-m>18.169125460516796</width-m> <area-m2>259.27337975405476</area-m2> <trees>312</trees> <hectares>8.092555518679442</hectares> </annual> <annual> <year>2126</year> <age>106</age> <dbh-cm>76.20603650630305</dbh-cm> <width-m>18.28944876151273</width-m> <area-m2>262.7187769836172</area-m2> <trees>309</trees> <hectares>8.1185024778688</hectares> </annual> </plan-prediction> <summary-prediction> <annual> <year>2026</year> <trees>0</trees> <hectares>0</hectares> </annual> <annual> <year>2027</year> <trees>831</trees> <hectares>0.1541</hectares> </annual> <annual> <year>2028</year> <trees>1646</trees> <hectares>0.3457</hectares> </annual> <annual> <year>2029</year> <trees>1630</trees> <hectares>0.4272</hectares> </annual> <annual> <year>2030</year> <trees>1614</trees> <hectares>0.5164</hectares> </annual> <annual> <year>2031</year> <trees>1598</trees> <hectares>0.6131</hectares> </annual> <annual> <year>2032</year> <trees>1582</trees> <hectares>0.7169</hectares> </annual> <annual> <year>2033</year> <trees>1566</trees> <hectares>0.8277</hectares> </annual> <annual> <year>2034</year> <trees>1550</trees> <hectares>0.9452</hectares> </annual> <annual> <year>2035</year> <trees>1534</trees> <hectares>1.0691</hectares> </annual> <annual> <year>2036</year> <trees>1520</trees> <hectares>1.1993</hectares> </annual> <annual> <year>2037</year> <trees>1504</trees> <hectares>1.3355</hectares> </annual> <annual> <year>2038</year> <trees>1490</trees> <hectares>1.4776</hectares> </annual> <annual> <year>2039</year> <trees>1474</trees> <hectares>1.6252</hectares> </annual> <annual> <year>2040</year> <trees>1460</trees> <hectares>1.7781</hectares> </annual> <annual> <year>2041</year> <trees>1444</trees> <hectares>1.9363</hectares> </annual> <annual> <year>2042</year> <trees>1430</trees> <hectares>2.0994</hectares> </annual> <annual> <year>2043</year> <trees>1416</trees> <hectares>2.2673</hectares> </annual> <annual> <year>2044</year> <trees>1402</trees> <hectares>2.4397</hectares> </annual> <annual> <year>2045</year> <trees>1388</trees> <hectares>2.6166</hectares> </annual> <annual> <year>2046</year> <trees>1374</trees> <hectares>2.7976</hectares> </annual> <annual> <year>2047</year> <trees>1360</trees> <hectares>2.9827</hectares> </annual> <annual> <year>2048</year> <trees>1348</trees> <hectares>3.1716</hectares> </annual> <annual> <year>2049</year> <trees>1334</trees> <hectares>3.3642</hectares> </annual> <annual> <year>2050</year> <trees>1320</trees> <hectares>3.5603</hectares> </annual> <annual> <year>2051</year> <trees>1308</trees> <hectares>3.7597</hectares> </annual> <annual> <year>2052</year> <trees>1294</trees> <hectares>3.9624</hectares> </annual> <annual> <year>2053</year> <trees>1282</trees> <hectares>4.168</hectares> </annual> <annual> <year>2054</year> <trees>1268</trees> <hectares>4.3765</hectares> </annual> <annual> <year>2055</year> <trees>1256</trees> <hectares>4.5877</hectares> </annual> <annual> <year>2056</year> <trees>1244</trees> <hectares>4.8015</hectares> </annual> <annual> <year>2057</year> <trees>1232</trees> <hectares>5.0178</hectares> </annual> <annual> <year>2058</year> <trees>1218</trees> <hectares>5.2363</hectares> </annual> <annual> <year>2059</year> <trees>1206</trees> <hectares>5.4569</hectares> </annual> <annual> <year>2060</year> <trees>1194</trees> <hectares>5.6796</hectares> </annual> <annual> <year>2061</year> <trees>1182</trees> <hectares>5.9042</hectares> </annual> <annual> <year>2062</year> <trees>1172</trees> <hectares>6.1305</hectares> </annual> <annual> <year>2063</year> <trees>1160</trees> <hectares>6.3584</hectares> </annual> <annual> <year>2064</year> <trees>1148</trees> <hectares>6.5879</hectares> </annual> <annual> <year>2065</year> <trees>1136</trees> <hectares>6.8187</hectares> </annual> <annual> <year>2066</year> <trees>1126</trees> <hectares>7.0508</hectares> </annual> <annual> <year>2067</year> <trees>1114</trees> <hectares>7.2841</hectares> </annual> <annual> <year>2068</year> <trees>1102</trees> <hectares>7.5184</hectares> </annual> <annual> <year>2069</year> <trees>1092</trees> <hectares>7.7537</hectares> </annual> <annual> <year>2070</year> <trees>1080</trees> <hectares>7.9898</hectares> </annual> <annual> <year>2071</year> <trees>1070</trees> <hectares>8.2267</hectares> </annual> <annual> <year>2072</year> <trees>1060</trees> <hectares>8.4642</hectares> </annual> <annual> <year>2073</year> <trees>1050</trees> <hectares>8.7022</hectares> </annual> <annual> <year>2074</year> <trees>1038</trees> <hectares>8.9407</hectares> </annual> <annual> <year>2075</year> <trees>1028</trees> <hectares>9.1795</hectares> </annual> <annual> <year>2076</year> <trees>1018</trees> <hectares>9.4186</hectares> </annual> <annual> <year>2077</year> <trees>1008</trees> <hectares>9.6578</hectares> </annual> <annual> <year>2078</year> <trees>998</trees> <hectares>9.8972</hectares> </annual> <annual> <year>2079</year> <trees>988</trees> <hectares>10.1365</hectares> </annual> <annual> <year>2080</year> <trees>978</trees> <hectares>10.373</hectares> </annual> <annual> <year>2081</year> <trees>968</trees> <hectares>10.6037</hectares> </annual> <annual> <year>2082</year> <trees>958</trees> <hectares>10.8289</hectares> </annual> <annual> <year>2083</year> <trees>950</trees> <hectares>11.0485</hectares> </annual> <annual> <year>2084</year> <trees>940</trees> <hectares>11.2626</hectares> </annual> <annual> <year>2085</year> <trees>930</trees> <hectares>11.4714</hectares> </annual> <annual> <year>2086</year> <trees>922</trees> <hectares>11.6749</hectares> </annual> <annual> <year>2087</year> <trees>912</trees> <hectares>11.8733</hectares> </annual> <annual> <year>2088</year> <trees>902</trees> <hectares>12.0665</hectares> </annual> <annual> <year>2089</year> <trees>894</trees> <hectares>12.2547</hectares> </annual> <annual> <year>2090</year> <trees>884</trees> <hectares>12.438</hectares> </annual> <annual> <year>2091</year> <trees>876</trees> <hectares>12.6164</hectares> </annual> <annual> <year>2092</year> <trees>868</trees> <hectares>12.79</hectares> </annual> <annual> <year>2093</year> <trees>858</trees> <hectares>12.959</hectares> </annual> <annual> <year>2094</year> <trees>850</trees> <hectares>13.1233</hectares> </annual> <annual> <year>2095</year> <trees>842</trees> <hectares>13.283</hectares> </annual> <annual> <year>2096</year> <trees>834</trees> <hectares>13.4383</hectares> </annual> <annual> <year>2097</year> <trees>824</trees> <hectares>13.5891</hectares> </annual> <annual> <year>2098</year> <trees>816</trees> <hectares>13.7357</hectares> </annual> <annual> <year>2099</year> <trees>808</trees> <hectares>13.8779</hectares> </annual> <annual> <year>2100</year> <trees>800</trees> <hectares>14.016</hectares> </annual> <annual> <year>2101</year> <trees>792</trees> <hectares>14.15</hectares> </annual> <annual> <year>2102</year> <trees>784</trees> <hectares>14.2799</hectares> </annual> <annual> <year>2103</year> <trees>776</trees> <hectares>14.4058</hectares> </annual> <annual> <year>2104</year> <trees>770</trees> <hectares>14.5278</hectares> </annual> <annual> <year>2105</year> <trees>762</trees> <hectares>14.6459</hectares> </annual> <annual> <year>2106</year> <trees>754</trees> <hectares>14.7603</hectares> </annual> <annual> <year>2107</year> <trees>746</trees> <hectares>14.8709</hectares> </annual> <annual> <year>2108</year> <trees>738</trees> <hectares>14.9779</hectares> </annual> <annual> <year>2109</year> <trees>732</trees> <hectares>15.0813</hectares> </annual> <annual> <year>2110</year> <trees>724</trees> <hectares>15.1811</hectares> </annual> <annual> <year>2111</year> <trees>718</trees> <hectares>15.2774</hectares> </annual> <annual> <year>2112</year> <trees>710</trees> <hectares>15.3703</hectares> </annual> <annual> <year>2113</year> <trees>702</trees> <hectares>15.4599</hectares> </annual> <annual> <year>2114</year> <trees>696</trees> <hectares>15.5462</hectares> </annual> <annual> <year>2115</year> <trees>688</trees> <hectares>15.6292</hectares> </annual> <annual> <year>2116</year> <trees>682</trees> <hectares>15.709</hectares> </annual> <annual> <year>2117</year> <trees>676</trees> <hectares>15.7857</hectares> </annual> <annual> <year>2118</year> <trees>668</trees> <hectares>15.8593</hectares> </annual> <annual> <year>2119</year> <trees>662</trees> <hectares>15.9299</hectares> </annual> <annual> <year>2120</year> <trees>656</trees> <hectares>15.9975</hectares> </annual> <annual> <year>2121</year> <trees>648</trees> <hectares>16.0621</hectares> </annual> <annual> <year>2122</year> <trees>642</trees> <hectares>16.1239</hectares> </annual> <annual> <year>2123</year> <trees>636</trees> <hectares>16.1829</hectares> </annual> <annual> <year>2124</year> <trees>630</trees> <hectares>16.2392</hectares> </annual> <annual> <year>2125</year> <trees>624</trees> <hectares>16.2927</hectares> </annual> <annual> <year>2126</year> <trees>618</trees> <hectares>16.3435</hectares> </annual> </summary-prediction> <analysis> <total-planted>1680</total-planted> <hectares-planted>0</hectares-planted> <total-cost>495600</total-cost> <final-trees>618</final-trees> <final-hectares>16.3435</final-hectares> </analysis> </plan> <summary-prediction> <annual> <year>2026</year> <trees>650</trees> <hectares>0.1204</hectares> </annual> <annual> <year>2027</year> <trees>1474</trees> <hectares>0.305</hectares> </annual> <annual> <year>2028</year> <trees>2283</trees> <hectares>0.5302</hectares> </annual> <annual> <year>2029</year> <trees>2260</trees> <hectares>0.6482</hectares> </annual> <annual> <year>2030</year> <trees>2238</trees> <hectares>0.7768</hectares> </annual> <annual> <year>2031</year> <trees>2216</trees> <hectares>0.9156</hectares> </annual> <annual> <year>2032</year> <trees>2194</trees> <hectares>1.0643</hectares> </annual> <annual> <year>2033</year> <trees>2172</trees> <hectares>1.2225</hectares> </annual> <annual> <year>2034</year> <trees>2150</trees> <hectares>1.3899</hectares> </annual> <annual> <year>2035</year> <trees>2128</trees> <hectares>1.5662</hectares> </annual> <annual> <year>2036</year> <trees>2108</trees> <hectares>1.751</hectares> </annual> <annual> <year>2037</year> <trees>2086</trees> <hectares>1.9441</hectares> </annual> <annual> <year>2038</year> <trees>2066</trees> <hectares>2.1453</hectares> </annual> <annual> <year>2039</year> <trees>2044</trees> <hectares>2.354</hectares> </annual> <annual> <year>2040</year> <trees>2025</trees> <hectares>2.57</hectares> </annual> <annual> <year>2041</year> <trees>2003</trees> <hectares>2.7932</hectares> </annual> <annual> <year>2042</year> <trees>1983</trees> <hectares>3.0231</hectares> </annual> <annual> <year>2043</year> <trees>1964</trees> <hectares>3.2596</hectares> </annual> <annual> <year>2044</year> <trees>1944</trees> <hectares>3.5023</hectares> </annual> <annual> <year>2045</year> <trees>1925</trees> <hectares>3.7511</hectares> </annual> <annual> <year>2046</year> <trees>1906</trees> <hectares>4.0056</hectares> </annual> <annual> <year>2047</year> <trees>1886</trees> <hectares>4.2656</hectares> </annual> <annual> <year>2048</year> <trees>1869</trees> <hectares>4.5309</hectares> </annual> <annual> <year>2049</year> <trees>1850</trees> <hectares>4.8011</hectares> </annual> <annual> <year>2050</year> <trees>1831</trees> <hectares>5.0762</hectares> </annual> <annual> <year>2051</year> <trees>1814</trees> <hectares>5.3558</hectares> </annual> <annual> <year>2052</year> <trees>1795</trees> <hectares>5.6398</hectares> </annual> <annual> <year>2053</year> <trees>1778</trees> <hectares>5.9279</hectares> </annual> <annual> <year>2054</year> <trees>1759</trees> <hectares>6.2199</hectares> </annual> <annual> <year>2055</year> <trees>1742</trees> <hectares>6.5155</hectares> </annual> <annual> <year>2056</year> <trees>1725</trees> <hectares>6.8147</hectares> </annual> <annual> <year>2057</year> <trees>1708</trees> <hectares>7.1172</hectares> </annual> <annual> <year>2058</year> <trees>1689</trees> <hectares>7.4228</hectares> </annual> <annual> <year>2059</year> <trees>1673</trees> <hectares>7.7312</hectares> </annual> <annual> <year>2060</year> <trees>1656</trees> <hectares>8.0425</hectares> </annual> <annual> <year>2061</year> <trees>1640</trees> <hectares>8.3563</hectares> </annual> <annual> <year>2062</year> <trees>1625</trees> <hectares>8.6724</hectares> </annual> <annual> <year>2063</year> <trees>1608</trees> <hectares>8.9907</hectares> </annual> <annual> <year>2064</year> <trees>1592</trees> <hectares>9.3112</hectares> </annual> <annual> <year>2065</year> <trees>1576</trees> <hectares>9.6334</hectares> </annual> <annual> <year>2066</year> <trees>1561</trees> <hectares>9.9573</hectares> </annual> <annual> <year>2067</year> <trees>1545</trees> <hectares>10.2828</hectares> </annual> <annual> <year>2068</year> <trees>1529</trees> <hectares>10.6097</hectares> </annual> <annual> <year>2069</year> <trees>1514</trees> <hectares>10.9379</hectares> </annual> <annual> <year>2070</year> <trees>1498</trees> <hectares>11.2671</hectares> </annual> <annual> <year>2071</year> <trees>1484</trees> <hectares>11.5974</hectares> </annual> <annual> <year>2072</year> <trees>1470</trees> <hectares>11.9285</hectares> </annual> <annual> <year>2073</year> <trees>1456</trees> <hectares>12.2603</hectares> </annual> <annual> <year>2074</year> <trees>1440</trees> <hectares>12.5926</hectares> </annual> <annual> <year>2075</year> <trees>1426</trees> <hectares>12.9254</hectares> </annual> <annual> <year>2076</year> <trees>1412</trees> <hectares>13.2585</hectares> </annual> <annual> <year>2077</year> <trees>1398</trees> <hectares>13.5917</hectares> </annual> <annual> <year>2078</year> <trees>1384</trees> <hectares>13.9251</hectares> </annual> <annual> <year>2079</year> <trees>1370</trees> <hectares>14.2561</hectares> </annual> <annual> <year>2080</year> <trees>1356</trees> <hectares>14.5821</hectares> </annual> <annual> <year>2081</year> <trees>1343</trees> <hectares>14.9002</hectares> </annual> <annual> <year>2082</year> <trees>1329</trees> <hectares>15.2105</hectares> </annual> <annual> <year>2083</year> <trees>1317</trees> <hectares>15.5132</hectares> </annual> <annual> <year>2084</year> <trees>1303</trees> <hectares>15.8082</hectares> </annual> <annual> <year>2085</year> <trees>1290</trees> <hectares>16.096</hectares> </annual> <annual> <year>2086</year> <trees>1278</trees> <hectares>16.3763</hectares> </annual> <annual> <year>2087</year> <trees>1265</trees> <hectares>16.6496</hectares> </annual> <annual> <year>2088</year> <trees>1251</trees> <hectares>16.9158</hectares> </annual> <annual> <year>2089</year> <trees>1240</trees> <hectares>17.175</hectares> </annual> <annual> <year>2090</year> <trees>1226</trees> <hectares>17.4274</hectares> </annual> <annual> <year>2091</year> <trees>1215</trees> <hectares>17.6731</hectares> </annual> <annual> <year>2092</year> <trees>1203</trees> <hectares>17.9121</hectares> </annual> <annual> <year>2093</year> <trees>1190</trees> <hectares>18.1448</hectares> </annual> <annual> <year>2094</year> <trees>1179</trees> <hectares>18.3709</hectares> </annual> <annual> <year>2095</year> <trees>1168</trees> <hectares>18.5908</hectares> </annual> <annual> <year>2096</year> <trees>1156</trees> <hectares>18.8044</hectares> </annual> <annual> <year>2097</year> <trees>1143</trees> <hectares>19.012</hectares> </annual> <annual> <year>2098</year> <trees>1132</trees> <hectares>19.2136</hectares> </annual> <annual> <year>2099</year> <trees>1121</trees> <hectares>19.4092</hectares> </annual> <annual> <year>2100</year> <trees>1110</trees> <hectares>19.5991</hectares> </annual> <annual> <year>2101</year> <trees>1099</trees> <hectares>19.7834</hectares> </annual> <annual> <year>2102</year> <trees>1087</trees> <hectares>19.962</hectares> </annual> <annual> <year>2103</year> <trees>1076</trees> <hectares>20.135</hectares> </annual> <annual> <year>2104</year> <trees>1067</trees> <hectares>20.3027</hectares> </annual> <annual> <year>2105</year> <trees>1056</trees> <hectares>20.4649</hectares> </annual> <annual> <year>2106</year> <trees>1046</trees> <hectares>20.6221</hectares> </annual> <annual> <year>2107</year> <trees>1035</trees> <hectares>20.774</hectares> </annual> <annual> <year>2108</year> <trees>1024</trees> <hectares>20.9209</hectares> </annual> <annual> <year>2109</year> <trees>1015</trees> <hectares>21.0628</hectares> </annual> <annual> <year>2110</year> <trees>1004</trees> <hectares>21.1998</hectares> </annual> <annual> <year>2111</year> <trees>995</trees> <hectares>21.3319</hectares> </annual> <annual> <year>2112</year> <trees>985</trees> <hectares>21.4593</hectares> </annual> <annual> <year>2113</year> <trees>974</trees> <hectares>21.5821</hectares> </annual> <annual> <year>2114</year> <trees>965</trees> <hectares>21.7004</hectares> </annual> <annual> <year>2115</year> <trees>954</trees> <hectares>21.8142</hectares> </annual> <annual> <year>2116</year> <trees>946</trees> <hectares>21.9235</hectares> </annual> <annual> <year>2117</year> <trees>937</trees> <hectares>22.0285</hectares> </annual> <annual> <year>2118</year> <trees>927</trees> <hectares>22.1292</hectares> </annual> <annual> <year>2119</year> <trees>918</trees> <hectares>22.2258</hectares> </annual> <annual> <year>2120</year> <trees>909</trees> <hectares>22.3182</hectares> </annual> <annual> <year>2121</year> <trees>899</trees> <hectares>22.4065</hectares> </annual> <annual> <year>2122</year> <trees>890</trees> <hectares>22.491</hectares> </annual> <annual> <year>2123</year> <trees>882</trees> <hectares>22.5715</hectares> </annual> <annual> <year>2124</year> <trees>873</trees> <hectares>22.6483</hectares> </annual> <annual> <year>2125</year> <trees>865</trees> <hectares>22.7212</hectares> </annual> <annual> <year>2126</year> <trees>857</trees> <hectares>22.7904</hectares> </annual> </summary-prediction> </programme>

Year	year 1 planting	year 2/3 planting	Total
	ha.	ha.	ha.
2026	0.1204	0	0.1204
2027	0.1509	0.1541	0.305
2028	0.1845	0.3457	0.5302
2029	0.221	0.4272	0.6482
2030	0.2604	0.5164	0.7768
2031	0.3025	0.6131	0.9156
2032	0.3474	0.7169	1.0643
2033	0.3948	0.8277	1.2225
2034	0.4447	0.9452	1.3899
2035	0.4971	1.0691	1.5662
2036	0.5517	1.1993	1.751
2037	0.6086	1.3355	1.9441
2038	0.6677	1.4776	2.1453
2039	0.7288	1.6252	2.354
2040	0.7919	1.7781	2.57
2041	0.8569	1.9363	2.7932
2042	0.9237	2.0994	3.0231
2043	0.9923	2.2673	3.2596
2044	1.0626	2.4397	3.5023
2045	1.1345	2.6166	3.7511
2046	1.208	2.7976	4.0056
2047	1.2829	2.9827	4.2656
2048	1.3593	3.1716	4.5309
2049	1.4369	3.3642	4.8011
2050	1.5159	3.5603	5.0762
2051	1.5961	3.7597	5.3558
2052	1.6774	3.9624	5.6398
2053	1.7599	4.168	5.9279
2054	1.8434	4.3765	6.2199
2055	1.9278	4.5877	6.5155
2056	2.0132	4.8015	6.8147
2057	2.0994	5.0178	7.1172
2058	2.1865	5.2363	7.4228
2059	2.2743	5.4569	7.7312
2060	2.3629	5.6796	8.0425
2061	2.4521	5.9042	8.3563
2062	2.5419	6.1305	8.6724
2063	2.6323	6.3584	8.9907
2064	2.7233	6.5879	9.3112
2065	2.8147	6.8187	9.6334
2066	2.9065	7.0508	9.9573
2067	2.9987	7.2841	10.2828
2068	3.0913	7.5184	10.6097
2069	3.1842	7.7537	10.9379
2070	3.2773	7.9898	11.2671
2071	3.3707	8.2267	11.5974
2072	3.4643	8.4642	11.9285
2073	3.5581	8.7022	12.2603
2074	3.6519	8.9407	12.5926
2075	3.7459	9.1795	12.9254
2076	3.8399	9.4186	13.2585
2077	3.9339	9.6578	13.5917
2078	4.0279	9.8972	13.9251
2079	4.1196	10.1365	14.2561
2080	4.2091	10.373	14.5821
2081	4.2965	10.6037	14.9002
2082	4.3816	10.8289	15.2105
2083	4.4647	11.0485	15.5132
2084	4.5456	11.2626	15.8082
2085	4.6246	11.4714	16.096
2086	4.7014	11.6749	16.3763
2087	4.7763	11.8733	16.6496
2088	4.8493	12.0665	16.9158
2089	4.9203	12.2547	17.175
2090	4.9894	12.438	17.4274
2091	5.0567	12.6164	17.6731
2092	5.1221	12.79	17.9121
2093	5.1858	12.959	18.1448
2094	5.2476	13.1233	18.3709
2095	5.3078	13.283	18.5908
2096	5.3661	13.4383	18.8044
2097	5.4229	13.5891	19.012
2098	5.4779	13.7357	19.2136
2099	5.5313	13.8779	19.4092
2100	5.5831	14.016	19.5991
2101	5.6334	14.15	19.7834
2102	5.6821	14.2799	19.962
2103	5.7292	14.4058	20.135
2104	5.7749	14.5278	20.3027
2105	5.819	14.6459	20.4649
2106	5.8618	14.7603	20.6221
2107	5.9031	14.8709	20.774
2108	5.943	14.9779	20.9209
2109	5.9815	15.0813	21.0628
2110	6.0187	15.1811	21.1998
2111	6.0545	15.2774	21.3319
2112	6.089	15.3703	21.4593
2113	6.1222	15.4599	21.5821
2114	6.1542	15.5462	21.7004
2115	6.185	15.6292	21.8142
2116	6.2145	15.709	21.9235
2117	6.2428	15.7857	22.0285
2118	6.2699	15.8593	22.1292
2119	6.2959	15.9299	22.2258
2120	6.3207	15.9975	22.3182
2121	6.3444	16.0621	22.4065
2122	6.3671	16.1239	22.491
2123	6.3886	16.1829	22.5715
2124	6.4091	16.2392	22.6483
2125	6.4285	16.2927	22.7212
2126	6.4469	16.3435	22.7904

Trees of Bristol Canopy prediction Highways and landscapes tree planting programme

Prediction URL

predicted Canopy

predicted Canopy

Summary

Plan: year 1 planting

Plan: year 2/3 planting

Plan and Overall prediction of canopy change by year in hectares.

Canopy change year by year in hectares for the prediction period.

Tree plans

Woodland Planting

Individual trees

Tree loss

Examples

2026 BCC plan to plant 2300 trees over 3 years

Modeling approach

Tree growth rate

Lifespan and mortality

Lifespan of tree species

DBH (Diameter at Breast Height) to Canopy

RPA (Root Protection Area)

Allometric modelling

Reference

Trees of Bristol Canopy prediction Highways and landscapes tree planting programme

Programme Summary Prediction Data Prediction Chart About Full structure Prediction URL

predicted Canopy

predicted Canopy

Summary

Plan: year 1 planting

Plan: year 2/3 planting

Plan and Overall prediction of canopy change by year in hectares.

Canopy change year by year in hectares for the prediction period.

Tree plans

Woodland Planting

Individual trees

Tree loss

Examples

2026 BCC plan to plant 2300 trees over 3 years

Modeling approach

Tree growth rate

Species table

The inverse: Age and Radius table

Lifespan and mortality

Lifespan of tree species Show

DBH (Diameter at Breast Height) to Canopy

RPA (Root Protection Area)

Allometric modelling

Allometric coefficients for estimating Canopy radius from DBH

Reference

Prediction URL

Lifespan of tree species