Citation:

PANGAEA.947062

Name: MAAT, MAP and pH in soils and peats
Published: 2022-08-15
License: https://creativecommons.org/licenses/by/4.0/
Keywords: branched GDGT; Branched GDGTs; GDGT; GDGTs; global temperature calibration; MAAT; machine learning; peat; Soil

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Published: 2022-08-15 • DOI registered: 2022-10-11

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Abstract:

Branched glycerol dialkyl glycerol tetraethers (brGDGTs) are a family of bacterial lipids which have emerged over time as robust temperature and pH paleoproxies in continental settings. Despite improvements in brGDGT analytical methods and development of refined models, the root-mean-square error (RMSE) associated with global calibrations between brGDGT distribution and MAAT in soils and peats remains high (~ 5 °C). Here we proposed to extend the global brGDGT terrestrial dataset previously proposed (n = 663; Dearing Crampton-Flood et al., 2019) with 112 soil samples from 6 altitudinal transects located in France (n = 49), Italy (n = 24), Tibet (n = 17), Chile (n = 8) and Peru (n =14). The transects were selected to take into account as much climatic and environmental variability as possible. All of these surficial soil samples (0 -10 cm depth) cover a wide range of temperatures (0°C to 26°C) and pH (3 to 8) and are representative of a wide diversity of environmental variables, vegetation and soil type. These new data were combined with previously published ones. This allowed the development of a new global terrestrial brGDGT temperature calibration from a worldwide extended dataset (i.e. 775 soil and peat samples) using a machine learning algorithm. This new model, called random Forest Regression for PaleOMAAT using brGDGTs (FROG), represents a refined brGDGT temperature calibration (R² = 0.8; RMSE = 4.01°C) for soils and peats, more robust and accurate than previous global soil calibrations while being proposed on an extended dataset.

Keyword(s):

branched GDGT; Branched GDGTs; GDGT; GDGTs; global temperature calibration; MAAT; machine learning; peat; Soil

Related to:

Bonanomi, Giuliano; Zotti, Maurizio; Mogavero, Valentina; Cesarano, Gaspare; Saulino, Luigi; Rita, Angelo; Tesei, Giulio; Allegrezza, Marina; Saracino, Antonio; Allevato, Emilia (2020): Climatic and anthropogenic factors explain the variability of Fagus sylvatica treeline elevation in fifteen mountain groups across the Apennines. Forest Ecosystems, 7(1), 5, https://doi.org/10.1186/s40663-020-0217-8

Dearing Crampton-Flood, Emily; Tierney, Jessica E; Peterse, Francien; Kirkels, Frédérique M S A; Sinninghe Damsté, Jaap S (2020): BayMBT: A Bayesian calibration model for branched glycerol dialkyl glycerol tetraethers in soils and peats. Geochimica et Cosmochimica Acta, 268, 142-159, https://doi.org/10.1016/j.gca.2019.09.043

Huguet, Arnaud; Coffinet, Sarah; Roussel, Anthony; Gayraud, Félix; Anquetil, Christelle; Bergonzini, Laurent; Bonanomi, Giuliano; Williamson, David; Majule, Amos; Derenne, Sylvie (2019): Evaluation of 3-hydroxy fatty acids as a pH and temperature proxy in soils from temperate and tropical altitudinal gradients. Organic Geochemistry, 129, 1-13, https://doi.org/10.1016/j.orggeochem.2019.01.002

Véquaud, Pierre; Derenne, Sylvie; Anquetil, Christelle; Collin, Sylvie; Poulenard, Jérôme; Sabatier, Pierre; Huguet, Arnaud (2021): Influence of environmental parameters on the distribution of bacterial lipids in soils from the French Alps: Implications for paleo-reconstructions. Organic Geochemistry, 153, 104194, https://doi.org/10.1016/j.orggeochem.2021.104194 (Véquaud et al., 2021b)

Véquaud, Pierre; Derenne, Sylvie; Thibault, Alexandre; Anquetil, Christelle; Bonanomi, Giuliano; Collin, Sylvie; Contreras, Sergio; Nottingham, Andrew T; Sabatier, Pierre; Salinas, Norma; Scott, Wesley P; Werne, Josef P; Huguet, Arnaud (2021): Development of global temperature and pH calibrations based on bacterial 3-hydroxy fatty acids in soils. Biogeosciences, 18(12), 3937-3959, https://doi.org/10.5194/bg-18-3937-2021 (Véquaud et al., 2021a)

Véquaud, Pierre; Thibault, Alexandre; Derenne, Sylvie; Anquetil, Christelle; Collin, Sylvie; Contreras, Sergio; Nottingham, Andrew T; Sabatier, Pierre; Werne, Josef P; Huguet, Arnaud (2022): FROG: A global machine-learning temperature calibration for branched GDGTs in soils and peats. Geochimica et Cosmochimica Acta, 318, 468-494, https://doi.org/10.1016/j.gca.2021.12.007

Véquaud, Pierre; Thibault, Alexandre; Derenne, Sylvie; Anquetil, Christelle; Collin, Sylvie; Contreras, Sergio; Nottingham, Andrew T; Sabatier, Pierre; Werne, Josef P; Huguet, Arnaud (2024): Compilation of Branched GDGT data from globally distributed altitudinal transects [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.947061

Wang, Jun-Tao; Cao, Peng; Hu, Hang-Wei; Li, Jing; Han, Li-Li; Zhang, Li-Mei; Zheng, Yuan-Ming; He, Ji-Zheng (2015): Altitudinal Distribution Patterns of Soil Bacterial and Archaeal Communities Along Mt. Shegyla on the Tibetan Plateau. Microbial Ecology, 69(1), 135-145, https://doi.org/10.1007/s00248-014-0465-7

Wang, M; Zheng, Z; Zong, Yongqiang; Man, Meiling; Tian, L (2019): Distributions of soil branched glycerol dialkyl glycerol tetraethers from different climate regions of China. Scientific Reports, 9(1), https://doi.org/10.1038/s41598-019-39147-9

Whitaker, Jeanette; Ostle, Nicholas; Nottingham, Andrew T; Ccahuana, Adan; Salinas, Norma; Bardgett, Richard D; Meir, Patrick; McNamara, N P (2014): Microbial community composition explains soil respiration responses to changing carbon inputs along an A ndes-to- A mazon elevation gradient. Journal of Ecology, 102(4), 1058-1071, https://doi.org/10.1111/1365-2745.12247

Funding:

Sorbonne Université, Paris, France, grant/award no. EC2CO (CNRS/INSU – BIO- HEFECT/MICROBIEN): SHAPE

Sorbonne Université, Paris, France, grant/award no. ECOS SUD/ECOS ANID #C19U01/190011

Coverage:

Median Latitude: 29.083811 * Median Longitude: 33.972118 * South-bound Latitude: -38.708000 * West-bound Longitude: 5.866233 * North-bound Latitude: 45.681339 * East-bound Longitude: 94.416667

Date/Time Start: 2010-12-01T00:00:00 * Date/Time End: 2017-10-01T00:00:00

Minimum ELEVATION: 0 m a.s.l. * Maximum ELEVATION: 4479 m a.s.l.

Event(s):

Chile * Latitude: -38.500000 * Longitude: -71.500000 * Location: Chile * Method/Device: Multiple investigations (MULT)

France * Latitude: 46.000000 * Longitude: 2.000000 * Method/Device: Multiple investigations (MULT)

Italy * Latitude: 43.000000 * Longitude: 12.000000 * Location: Italy * Method/Device: Multiple investigations (MULT)

Parameter(s):

#	Name	Short Name	Unit	Principal Investigator	Comment
1	Event label	Event		Véquaud, Pierre
2	Sample ID	Sample ID		Véquaud, Pierre
3	Reference/source	Reference		Véquaud, Pierre
4	Sample type	Samp type		Véquaud, Pierre
5	Area/locality	Area		Véquaud, Pierre
6	ELEVATION	Elevation	m a.s.l.	Véquaud, Pierre	Geocode
7	LATITUDE	Latitude		Véquaud, Pierre	Geocode
8	Latitude 2	Latitude 2		Véquaud, Pierre
9	LONGITUDE	Longitude		Véquaud, Pierre	Geocode
10	Longitude 2	Longitude 2		Véquaud, Pierre
11	DATE/TIME	Date/Time		Véquaud, Pierre	Geocode
12	Temperature, air, annual mean	MAAT	°C	Véquaud, Pierre
13	Precipitation, annual total, mean	Precip annual tot mean	mm/a	Véquaud, Pierre
14	pH	pH		Véquaud, Pierre

License:

Creative Commons Attribution 4.0 International (CC-BY-4.0)

Status:

Curation Level: Enhanced curation (CurationLevelC)

Size:

725 data points

Data

Download dataset as tab-delimited text — use the following character encoding:

1 Event	2 Sample ID	3 Reference	4 Samp type	5 Area	6 Elevation [m a.s.l.]	7 Latitude	8 Latitude 2	9 Longitude	10 Longitude 2	11 Date/Time	12 MAAT [°C]	13 Precip annual tot mean [mm/a]	14 pH
Peru	TAM4	Véquaud et al., 2021a ; Whitaker et al., 2014	Soil	Peru	194	-12.839000		69.296000		2010-12	26.40	2730	3.70
Peru	TAM3	Véquaud et al., 2021a ; Whitaker et al., 2014	Soil	Peru	210	-12.830000		69.271000		2010-12	26.40	3199	4.00
Peru	VC	Véquaud et al., 2021a ; Whitaker et al., 2014	Soil	Peru	1063	-12.866000		69.401000		2010-12	20.70	3087	4.70
Peru	SP2	Véquaud et al., 2021a ; Whitaker et al., 2014	Soil	Peru	1500	-13.049000		71.537000		2010-12	17.40	2631	3.50
Peru	SP1	Véquaud et al., 2021a ; Whitaker et al., 2014	Soil	Peru	1750	-13.047000		71.543000		2010-12	15.80	2631	3.60
Peru	TU8	Véquaud et al., 2021a ; Whitaker et al., 2014	Soil	Peru	1850	-13.071000		71.555000		2010-12	16.00	2472	3.50
Peru	TU7	Véquaud et al., 2021a ; Whitaker et al., 2014	Soil	Peru	2020	-13.074000		71.559000		2010-12	14.90	1827	3.40
Peru	TU5	Véquaud et al., 2021a ; Whitaker et al., 2014	Soil	Peru	2520	-13.094000		71.574000		2010-12	12.10		3.70
Peru	TU4	Véquaud et al., 2021a ; Whitaker et al., 2014	Soil	Peru	2720	-13.107000		71.589000		2010-12	11.10	2318	3.60
Peru	TU3	Véquaud et al., 2021a ; Whitaker et al., 2014	Soil	Peru	3020	-13.109000		71.600000		2010-12	9.50	1776	3.40
Peru	TU2	Véquaud et al., 2021a ; Whitaker et al., 2014	Soil	Peru	3200	-13.111000		71.604000		2010-12	8.90		3.50
Peru	WAY	Véquaud et al., 2021a ; Whitaker et al., 2014	Soil	Peru	3025	-13.190000		71.587000		2010-12	11.10	1706	3.50
Peru	TU1	Véquaud et al., 2021a ; Whitaker et al., 2014	Soil	Peru	3400	-13.111000		71.604000		2010-12	7.70	2555	3.40
Peru	TC	Véquaud et al., 2021a ; Whitaker et al., 2014	Soil	Peru	3644					2010-12	6.50		3.40
Tibet	T1	Véquaud et al., 2021a ; Wang et al., 2015	Soil	Tibet	3106	29.583333	29.95	94.416667	94.75	2011-07	8.94		5.53
Tibet	T2	Véquaud et al., 2021a ; Wang et al., 2015	Soil	Tibet	3117	29.583333	29.95	94.416667	94.75	2011-07	8.88		6.43
Tibet	T3	Véquaud et al., 2021a ; Wang et al., 2015	Soil	Tibet	3132	29.583333	29.95	94.416667	94.75	2011-07	8.79		6.01
Tibet	T4	Véquaud et al., 2021a ; Wang et al., 2015	Soil	Tibet	3344	29.583333	29.95	94.416667	94.75	2011-07	7.59		6.03
Tibet	T5	Véquaud et al., 2021a ; Wang et al., 2015	Soil	Tibet	3355	29.583333	29.95	94.416667	94.75	2011-07	7.52		5.87
Tibet	T6	Véquaud et al., 2021a ; Wang et al., 2015	Soil	Tibet	3356	29.583333	29.95	94.416667	94.75	2011-07	7.52		5.52
Tibet	C1	Véquaud et al., 2021a ; Wang et al., 2015	Soil	Tibet	4030	29.583333	29.95	94.416667	94.75	2011-07	3.68		5.21
Tibet	C2	Véquaud et al., 2021a ; Wang et al., 2015	Soil	Tibet	4046	29.583333	29.95	94.416667	94.75	2011-07	3.58		4.68
Tibet	C3	Véquaud et al., 2021a ; Wang et al., 2015	Soil	Tibet	4050	29.583333	29.95	94.416667	94.75	2011-07	3.56		4.61
Tibet	C4	Véquaud et al., 2021a ; Wang et al., 2015	Soil	Tibet	3912	29.583333	29.95	94.416667	94.75	2011-07	4.35		5.04
Tibet	C5	Véquaud et al., 2021a ; Wang et al., 2015	Soil	Tibet	3918	29.583333	29.95	94.416667	94.75	2011-07	4.31		4.68
Tibet	C6	Véquaud et al., 2021a ; Wang et al., 2015	Soil	Tibet	4298	29.583333	29.95	94.416667	94.75	2011-07	2.15		5.04
Tibet	C7	Véquaud et al., 2021a ; Wang et al., 2015	Soil	Tibet	4295	29.583333	29.95	94.416667	94.75	2011-07	2.16		4.87
Tibet	C8	Véquaud et al., 2021a ; Wang et al., 2015	Soil	Tibet	4304	29.583333	29.95	94.416667	94.75	2011-07	2.11		5.26
Tibet	F1	Véquaud et al., 2021a ; Wang et al., 2015	Soil	Tibet	4479	29.583333	29.95	94.416667	94.75	2011-07	1.12		5.26
Tibet	F2	Véquaud et al., 2021a ; Wang et al., 2015	Soil	Tibet	4479	29.583333	29.95	94.416667	94.75	2011-07	1.12		5.07
Tibet	F3	Véquaud et al., 2021a ; Wang et al., 2015	Soil	Tibet	4474	29.583333	29.95	94.416667	94.75	2011-07	1.14		5.24
Italy	0m	Véquaud et al., 2021a ; Bonanomi et al., 2020	Soil	Italy	0	39.906703		16.189158		2016-12	18.00		6.78
Italy	200m	Véquaud et al., 2021a ; Bonanomi et al., 2020	Soil	Italy	200	39.906703		16.189158		2016-12	17.00		6.19
Italy	400m	Véquaud et al., 2021a ; Bonanomi et al., 2020	Soil	Italy	400	39.906703		16.189158		2016-12	16.00		6.13
Italy	600m	Véquaud et al., 2021a ; Bonanomi et al., 2020	Soil	Italy	600	39.906703		16.189158		2016-12	15.00		6.14
Italy	800m	Véquaud et al., 2021a ; Bonanomi et al., 2020	Soil	Italy	800	39.906703		16.189158		2016-12	14.00		4.53
Italy	1000m	Véquaud et al., 2021a ; Bonanomi et al., 2020	Soil	Italy	1000	39.906703		16.189158		2016-12	13.00		5.41
Italy	1200m	Véquaud et al., 2021a ; Bonanomi et al., 2020	Soil	Italy	1200	39.906703		16.189158		2016-12	12.00		6.37
Italy	1400m	Véquaud et al., 2021a ; Bonanomi et al., 2020	Soil	Italy	1400	39.906703		16.189158		2016-12	11.00		5.62
Italy	1600m	Véquaud et al., 2021a ; Bonanomi et al., 2020	Soil	Italy	1600	39.906703		16.189158		2016-12	10.00		4.93
Italy	1800m	Véquaud et al., 2021a ; Bonanomi et al., 2020	Soil	Italy	1800	39.906703		16.189158		2016-12	9.00		4.91
Italy	2000m	Véquaud et al., 2021a ; Bonanomi et al., 2020	Soil	Italy	2000	39.906703		16.189158		2016-12	8.00		5.52
Italy	2100m	Véquaud et al., 2021a ; Bonanomi et al., 2020	Soil	Italy	2100	39.906703		16.189158		2016-12	7.50		5.91
Italy	2200m	Véquaud et al., 2021a ; Bonanomi et al., 2020	Soil	Italy	2200	39.906703		16.189158		2016-12	7.00		5.85
Italy	AH-29	Huguet et al., 2019; Véquaud et al., 2021a	Soil	Italy	400	42.086900		14.200670		2016-12	14.10		8.10
Italy	AH-30	Huguet et al., 2019; Véquaud et al., 2021a	Soil	Italy	800	42.083910		14.176260		2016-12	11.80		8.70
Italy	AH-31	Huguet et al., 2019; Véquaud et al., 2021a	Soil	Italy	1000	42.078500		14.167620		2016-12	10.60		7.70
Italy	AH-32	Huguet et al., 2019; Véquaud et al., 2021a	Soil	Italy	1200	42.075720		14.162800		2016-12	9.50		7.70
Italy	AH-33	Huguet et al., 2019; Véquaud et al., 2021a	Soil	Italy	1400	42.074270		14.154880		2016-12	8.30		7.60
Italy	AH-34	Huguet et al., 2019; Véquaud et al., 2021a	Soil	Italy	1600	42.076170		14.142160		2016-12	7.20		7.10
Italy	AH-35	Huguet et al., 2019; Véquaud et al., 2021a	Soil	Italy	1800	42.079650		14.134330		2016-12	6.00		8.00
Italy	AH-36	Huguet et al., 2019; Véquaud et al., 2021a	Soil	Italy	2000	42.085980		14.125970		2016-12	4.80		8.10
Italy	AH-37	Huguet et al., 2019; Véquaud et al., 2021a	Soil	Italy	2400	42.090660		14.096720		2016-12	2.50		7.50
Italy	AH-38	Huguet et al., 2019; Véquaud et al., 2021a	Soil	Italy	2600	42.088820		14.088810		2016-12	1.40		8.00
Italy	AH-39	Huguet et al., 2019; Véquaud et al., 2021a	Soil	Italy	2800	42.087800		14.086700		2016-12	0.20		7.90
France	LAU2700	Véquaud et al., 2021b	Soil	France	2700	45.059789		6.391933		2017-10	0.37		5.08
France	KS46	Véquaud et al., 2021b	Soil	France	2646	45.059789		6.391933		2017-10	0.63		6.30
France	KS47	Véquaud et al., 2021b	Soil	France	2748	45.060011		6.365006		2017-10	0.13		5.98
France	KS48	Véquaud et al., 2021b	Soil	France	2695	45.059161		6.367953		2017-10	0.39		6.45
France	LAU 2470 Ð PA129	Véquaud et al., 2021b	Soil	France	2470	45.054300		6.400864		2017-10	1.50		4.68
France	PA125	Véquaud et al., 2021b	Soil	France	2632	45.058108		6.373017		2017-10	0.70		4.89
France	PA126	Véquaud et al., 2021b	Soil	France	2688	45.059381		6.369186		2017-10	0.43		4.85
France	CF31	Véquaud et al., 2021b	Soil	France	2503	45.050119		6.385042		2017-10	1.33		4.80
France	CF32	Véquaud et al., 2021b	Soil	France	2571	45.054375		6.375042		2017-10	1.00		4.50
France	CF33	Véquaud et al., 2021b	Soil	France	2531	45.053700		6.378197		2017-10	1.20		4.84
France	EN51	Véquaud et al., 2021b	Soil	France	2504	45.048667		6.387228		2017-10	1.33		5.65
France	EN52	Véquaud et al., 2021b	Soil	France	2533	45.050553		6.381911		2017-10	1.19		5.91
France	EN53	Véquaud et al., 2021b	Soil	France	2558	45.052961		6.377750		2017-10	1.06		7.14
France	V26	Véquaud et al., 2021b	Soil	France	2230	45.044150		6.402278		2017-10	2.67		4.74
France	V27	Véquaud et al., 2021b	Soil	France	2305	45.048275		6.396058		2017-10	2.30		5.08
France	V28	Véquaud et al., 2021b	Soil	France	2333	45.049811		6.392369		2017-10	2.17		5.50
France	LAU 2100	Véquaud et al., 2021b	Soil	France	2100	45.045031		6.407147		2017-10	3.31		4.80
France	LAU1920	Véquaud et al., 2021b	Soil	France	1920	45.040569		6.419031		2017-10	4.19		5.23
France	FP88	Véquaud et al., 2021b	Soil	France	2041	45.040367		6.408442		2017-10	3.60		5.20
France	LD113	Véquaud et al., 2021b	Soil	France	1940	45.039542		6.435203		2017-10	4.09		6.15
France	LD1820	Véquaud et al., 2021b	Soil	France	1820	45.025928		6.452397		2017-10	4.68		7.34
France	LD1620	Véquaud et al., 2021b	Soil	France	1620	44.996558		6.480667		2017-10	5.66		6.34
France	LECAS1620	Véquaud et al., 2021b	Soil	France	1620	45.013761		6.466789		2017-10	5.66		6.22
France	LECAS1580	Véquaud et al., 2021b	Soil	France	1580	45.001328		6.474261		2017-10	5.86		6.58
France	LECAS1540	Véquaud et al., 2021b	Soil	France	1540	44.994311		6.478694		2017-10	6.05		6.69
France	FEC21	Véquaud et al., 2021b	Soil	France	1475	45.667353		5.971408		2017-10	7.50		4.68
France	FEC22	Véquaud et al., 2021b	Soil	France	1450	45.670822		5.973719		2017-10	6.49		5.95
France	FEC23	Véquaud et al., 2021b	Soil	France	1360	45.674892		5.998186		2017-10	7.44		5.06
France	FEC31O	Véquaud et al., 2021b	Soil	France	1375	45.675544		5.996167		2017-10	6.01		4.90
France	FEC32O	Véquaud et al., 2021b	Soil	France	1367	45.675919		5.997644		2017-10	6.90		4.80
France	FEC33O	V©quaud et al., 2021b	Soil	France	1362	45.674381		5.996631		2017-10	7.70		5.15
France	FEC31B	Véquaud et al., 2021b	Soil	France	1375	45.675544		5.996167		2017-10	6.86		4.80
France	FEC32B	Véquaud et al., 2021b	Soil	France	1367	45.675919		5.997644		2017-10	6.90		4.87
France	FEC33B	Véquaud et al., 2021b	Soil	France	1362	45.674381		5.996631		2017-10	6.92		5.48
France	FEC11	Véquaud et al., 2021b	Soil	France	1286	45.638964		5.993344		2017-10	7.30		3.82
France	FEC12	Véquaud et al., 2021b	Soil	France	1314	45.645481		5.990672		2017-10	7.39		3.62
France	FEC13	Véquaud et al., 2021b	Soil	France	1321	45.646586		5.990025		2017-10	7.13		5.47
France	MOU31	Véquaud et al., 2021b	Soil	France	905	45.672811		5.962131		2017-10	9.16		6.41
France	MOU32	Véquaud et al., 2021b	Soil	France	938	45.671581		5.962450		2017-10	8.60		7.20
France	MOU33	Véquaud et al., 2021b	Soil	France	1017	45.668461		5.961450		2017-10	7.93		6.70
France	MOU11	Véquaud et al., 2021b	Soil	France	462	45.680019		5.941750		2017-10	11.98		7.46
France	MOU12	Véquaud et al., 2021b	Soil	France	565	45.679789		5.950531		2017-10	10.83		6.70
France	MOU13	Véquaud et al., 2021b	Soil	France	520	45.681339		5.948019		2017-10	11.25		7.10
France	BOU11	Véquaud et al., 2021b	Soil	France	232	45.648303		5.867733		2017-10	12.49		7.30
France	BOU12	Véquaud et al., 2021b	Soil	France	234	45.647622		5.867736		2017-10	12.45		7.49
France	BOU13	Véquaud et al., 2021b	Soil	France	237	45.636083		5.869328		2017-10	12.44		7.33
France	BOU21	Véquaud et al., 2021b	Soil	France	232	45.648356		5.866233		2017-10	12.73		7.25
France	BOU22	Véquaud et al., 2021b	Soil	France	232	45.649964		5.866669		2017-10	12.46		7.49
France	BOU23	Véquaud et al., 2021a	Soil	France	234	45.639503		5.870147		2017-10	12.45		7.64
Chile	Laguna Negra	Véquaud et al., 2021a	Soil	Chile	690	-38.585345		71.811000			9.21	2375	5.38
Chile	Quepe	Véquaud et al., 2021a	Soil	Chile	870	-38.648000		71.870000			8.86	2282	5.62
Chile	Malleco	Véquaud et al., 2021a	Soil	Chile	891	-38.216000		71.821000			7.94	2881	4.94
Chile	Verde conguillio	Véquaud et al., 2021a	Soil	Chile	980	-38.684000		71.610000			8.46	2335	5.63
Chile	Captren	Véquaud et al., 2021a	Soil	Chile	985	-38.639000		71.703000			5.75	2644	4.67
Chile	Conguillio	Véquaud et al., 2021a	Soil	Chile	1125	-38.631000		71.656000			6.03	2480	5.00
Chile	Galletue	Véquaud et al., 2021a	Soil	Chile	1151	-38.680000		71.294000			6.04	2133	5.89
Chile	El Toro	Véquaud et al., 2021a	Soil	Chile	1196	-38.708000		71.350000			7.11	1970	5.79