1. //
  2. Start
  3. //
  4. Publications
  5. Comparing temperature data sources for u...
  6. Output formats
  7. //

Comparing temperature data sources for use in species distribution models: From in-situ logging to remote sensing

Research output: Journal contributions › Journal articles › Research › peer-review

Standard

Comparing temperature data sources for use in species distribution models: From in-situ logging to remote sensing. / Lembrechts, Jonas J.; Lenoir, Jonathan; Roth, Nina et al.
In: Global Ecology and Biogeography, Vol. 28, No. 11, 22.07.2019, p. 1578-1596.

Research output: Journal contributions › Journal articles › Research › peer-review

Harvard

Lembrechts, JJ, Lenoir, J, Roth, N, Hattab, T, Milbau, A, Haider, S, Pellissier, L, Pauchard, A, Ratier Backes, A, Dimarco, RD, Nuñez, MA, Aalto, J & Nijs, I 2019, 'Comparing temperature data sources for use in species distribution models: From in-situ logging to remote sensing', Global Ecology and Biogeography, vol. 28, no. 11, pp. 1578-1596. https://doi.org/10.1111/geb.12974

APA

Lembrechts, J. J., Lenoir, J., Roth, N., Hattab, T., Milbau, A., Haider, S., Pellissier, L., Pauchard, A., Ratier Backes, A., Dimarco, R. D., Nuñez, M. A., Aalto, J., & Nijs, I. (2019). Comparing temperature data sources for use in species distribution models: From in-situ logging to remote sensing. Global Ecology and Biogeography, 28(11), 1578-1596. https://doi.org/10.1111/geb.12974

Vancouver

Lembrechts JJ, Lenoir J, Roth N, Hattab T, Milbau A, Haider S et al. Comparing temperature data sources for use in species distribution models: From in-situ logging to remote sensing. Global Ecology and Biogeography. 2019 Jul 22;28(11):1578-1596. doi: 10.1111/geb.12974

Bibtex

@article{d937f93011184d3883355212b64533dd,
title = "Comparing temperature data sources for use in species distribution models: From in-situ logging to remote sensing",
abstract = "Aim: Although species distribution models (SDMs) traditionally link species occurrences to free-air temperature data at coarse spatio-temporal resolution, the distribution of organisms might instead be driven by temperatures more proximal to their habitats. Several solutions are currently available, such as downscaled or interpolated coarse-grained free-air temperatures, satellite-measured land surface temperatures (LST) or in-situ-measured soil temperatures. A comprehensive comparison of temperature data sources and their performance in SDMs is, however, currently lacking. Location: Northern Scandinavia. Time period: 1970–2017. Major taxa studied: Higher plants. Methods: We evaluated different sources of temperature data (WorldClim, CHELSA, MODIS, E-OBS, topoclimate and soil temperature from miniature data loggers), differing in spatial resolution (from 1″ to 0.1°), measurement focus (free-air, ground-surface or soil temperature) and temporal extent (year-long versus long-term averages), and used them to fit SDMs for 50 plant species with different growth forms in a high-latitudinal mountain region. Results: Differences between these temperature data sources originating from measurement focus and temporal extent overshadow the effects of temporal climatic differences and spatio-temporal resolution, with elevational lapse rates ranging from −0.6°C per 100 m for long-term free-air temperature data to −0.2°C per 100 m for in-situ soil temperatures. Most importantly, we found that the performance of the temperature data in SDMs depended on the growth forms of species. The use of in-situ soil temperatures improved the explanatory power of our SDMs (R2 on average +16%), especially for forbs and graminoids (R2 +24 and +21% on average, respectively) compared with the other data sources. Main conclusions: We suggest that future studies using SDMs should use the temperature dataset that best reflects the ecology of the species, rather than automatically using coarse-grained data from WorldClim or CHELSA.",
keywords = "Biology, bioclimatic envelope modelling, bioclimatic variables, climate change, growth forms, land surface temperature, microclimate, mountains, soil temperature, species distribution modelling",
author = "Lembrechts, {Jonas J.} and Jonathan Lenoir and Nina Roth and Tarek Hattab and Ann Milbau and Sylvia Haider and Lo{\"i}c Pellissier and An{\'i}bal Pauchard and {Ratier Backes}, Amanda and Dimarco, {Romina D.} and Nu{\~n}ez, {Martin A.} and Juha Aalto and Ivan Nijs",
note = "Publisher Copyright: {\textcopyright} 2019 John Wiley & Sons Ltd",
year = "2019",
month = jul,
day = "22",
doi = "10.1111/geb.12974",
language = "English",
volume = "28",
pages = "1578--1596",
journal = "Global Ecology and Biogeography",
issn = "1466-822X",
publisher = "Wiley-Blackwell Publishing Ltd.",
number = "11",

}

RIS

TY - JOUR

T1 - Comparing temperature data sources for use in species distribution models

T2 - From in-situ logging to remote sensing

AU - Lembrechts, Jonas J.

AU - Lenoir, Jonathan

AU - Roth, Nina

AU - Hattab, Tarek

AU - Milbau, Ann

AU - Haider, Sylvia

AU - Pellissier, Loïc

AU - Pauchard, Aníbal

AU - Ratier Backes, Amanda

AU - Dimarco, Romina D.

AU - Nuñez, Martin A.

AU - Aalto, Juha

AU - Nijs, Ivan

N1 - Publisher Copyright: © 2019 John Wiley & Sons Ltd

PY - 2019/7/22

Y1 - 2019/7/22

N2 - Aim: Although species distribution models (SDMs) traditionally link species occurrences to free-air temperature data at coarse spatio-temporal resolution, the distribution of organisms might instead be driven by temperatures more proximal to their habitats. Several solutions are currently available, such as downscaled or interpolated coarse-grained free-air temperatures, satellite-measured land surface temperatures (LST) or in-situ-measured soil temperatures. A comprehensive comparison of temperature data sources and their performance in SDMs is, however, currently lacking. Location: Northern Scandinavia. Time period: 1970–2017. Major taxa studied: Higher plants. Methods: We evaluated different sources of temperature data (WorldClim, CHELSA, MODIS, E-OBS, topoclimate and soil temperature from miniature data loggers), differing in spatial resolution (from 1″ to 0.1°), measurement focus (free-air, ground-surface or soil temperature) and temporal extent (year-long versus long-term averages), and used them to fit SDMs for 50 plant species with different growth forms in a high-latitudinal mountain region. Results: Differences between these temperature data sources originating from measurement focus and temporal extent overshadow the effects of temporal climatic differences and spatio-temporal resolution, with elevational lapse rates ranging from −0.6°C per 100 m for long-term free-air temperature data to −0.2°C per 100 m for in-situ soil temperatures. Most importantly, we found that the performance of the temperature data in SDMs depended on the growth forms of species. The use of in-situ soil temperatures improved the explanatory power of our SDMs (R2 on average +16%), especially for forbs and graminoids (R2 +24 and +21% on average, respectively) compared with the other data sources. Main conclusions: We suggest that future studies using SDMs should use the temperature dataset that best reflects the ecology of the species, rather than automatically using coarse-grained data from WorldClim or CHELSA.

AB - Aim: Although species distribution models (SDMs) traditionally link species occurrences to free-air temperature data at coarse spatio-temporal resolution, the distribution of organisms might instead be driven by temperatures more proximal to their habitats. Several solutions are currently available, such as downscaled or interpolated coarse-grained free-air temperatures, satellite-measured land surface temperatures (LST) or in-situ-measured soil temperatures. A comprehensive comparison of temperature data sources and their performance in SDMs is, however, currently lacking. Location: Northern Scandinavia. Time period: 1970–2017. Major taxa studied: Higher plants. Methods: We evaluated different sources of temperature data (WorldClim, CHELSA, MODIS, E-OBS, topoclimate and soil temperature from miniature data loggers), differing in spatial resolution (from 1″ to 0.1°), measurement focus (free-air, ground-surface or soil temperature) and temporal extent (year-long versus long-term averages), and used them to fit SDMs for 50 plant species with different growth forms in a high-latitudinal mountain region. Results: Differences between these temperature data sources originating from measurement focus and temporal extent overshadow the effects of temporal climatic differences and spatio-temporal resolution, with elevational lapse rates ranging from −0.6°C per 100 m for long-term free-air temperature data to −0.2°C per 100 m for in-situ soil temperatures. Most importantly, we found that the performance of the temperature data in SDMs depended on the growth forms of species. The use of in-situ soil temperatures improved the explanatory power of our SDMs (R2 on average +16%), especially for forbs and graminoids (R2 +24 and +21% on average, respectively) compared with the other data sources. Main conclusions: We suggest that future studies using SDMs should use the temperature dataset that best reflects the ecology of the species, rather than automatically using coarse-grained data from WorldClim or CHELSA.

KW - Biology

KW - bioclimatic envelope modelling

KW - bioclimatic variables

KW - climate change

KW - growth forms

KW - land surface temperature

KW - microclimate

KW - mountains

KW - soil temperature

KW - species distribution modelling

UR - http://www.scopus.com/inward/record.url?scp=85069720022&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/e1ca0554-7964-36d3-bbac-53cb22a04551/

U2 - 10.1111/geb.12974

DO - 10.1111/geb.12974

M3 - Journal articles

AN - SCOPUS:85069720022

VL - 28

SP - 1578

EP - 1596

JO - Global Ecology and Biogeography

JF - Global Ecology and Biogeography

SN - 1466-822X

IS - 11

ER -

Related by journal

Traits of dominant plant species drive normalized difference vegetation index in grasslands globally

Engel, T., Bruelheide, H., Hoss, D., Sabatini, F. M., Altman, J., Arfin-Khan, M. A. S., Bergmeier, E., Černý, T., Chytrý, M., Dainese, M., Dengler, J., Dolezal, J., Field, R., Fischer, F. M., Huygens, D., Jandt, U., Jansen, F., Jentsch, A., Karger, D. N., Kattge, J., Lenoir, J., Lens, F., Loos, J., Niinemets, Ü., Overbeck, G. E., Ozinga, W. A., Penuelas, J., Peyre, G., Phillips, O., Reich, P. B., Römermann, C., Sandel, B., Schmidt, M., Schrodt, F., Velez-Martin, E., Violle, C. & Pillar, V., 01.05.2023, In: Global Ecology and Biogeography. 32, 5, p. 695-706 12 p.

Research output: Journal contributions › Journal articles › Research › peer-review

Global patterns and drivers of alpine plant species richness

Testolin, R., Attorre, F., Borchardt, P., Brand, R. F., Bruelheide, H., Chytrý, M., De Sanctis, M., Dolezal, J., Finckh, M., Haider, S., Hemp, A., Jandt, U., Kessler, M., Korolyuk, A. Y., Lenoir, J., Makunina, N., Malanson, G. P., Montesinos-Tubée, D. B., Noroozi, J., Nowak, A., Peet, R. K., Peyre, G., Sabatini, F. M., Šibík, J., Sklenář, P., Sylvester, S. P., Vassilev, K., Virtanen, R., Willner, W., Wiser, S. K., Zibzeev, E. G. & Jiménez-Alfaro, B., 01.06.2021, In: Global Ecology and Biogeography. 30, 6, p. 1218-1231 14 p.

Research output: Journal contributions › Journal articles › Research › peer-review

sPlotOpen – An environmentally balanced, open-access, global dataset of vegetation plots

Sabatini, F. M., Lenoir, J., Hattab, T., Arnst, E. A., Chytrý, M., Dengler, J., De Ruffray, P., Hennekens, S. M., Jandt, U., Jansen, F., Jiménez-Alfaro, B., Kattge, J., Levesley, A., Pillar, V. D., Purschke, O., Sandel, B., Sultana, F., Aavik, T., Aćić, S., Acosta, A. T. R., Agrillo, E., Alvarez, M., Apostolova, I., Arfin Khan, M. A. S., Arroyo, L., Attorre, F., Aubin, I., Banerjee, A., Bauters, M., Bergeron, Y., Bergmeier, E., Biurrun, I., Bjorkman, A. D., Bonari, G., Bondareva, V., Brunet, J., Čarni, A., Casella, L., Cayuela, L., Černý, T., Chepinoga, V., Csiky, J., Ćušterevska, R., De Bie, E., de Gasper, A. L., De Sanctis, M., Dimopoulos, P., Dolezal, J., Dziuba, T., El-Sheikh, M. A. E. R. M., Enquist, B., Ewald, J., Fazayeli, F., Field, R., Finckh, M., Gachet, S., Galán-de-Mera, A., Garbolino, E., Gholizadeh, H., Giorgis, M., Golub, V., Alsos, I. G., Grytnes, J. A., Guerin, G. R., Gutiérrez, A. G., Haider, S., Hatim, M. Z., Hérault, B., Hinojos Mendoza, G., Hölzel, N., Homeier, J., Hubau, W., Indreica, A., Janssen, J. A. M., Jedrzejek, B., Jentsch, A., Jürgens, N., Kącki, Z., Kapfer, J., Karger, D. N., Kavgacı, A., Kearsley, E., Kessler, M., Khanina, L., Killeen, T., Korolyuk, A., Kreft, H., Kühl, H. S., Kuzemko, A., Landucci, F., Lengyel, A., Lens, F., Lingner, D. V., Liu, H., Lysenko, T., Mahecha, M. D., Marcenò, C., Martynenko, V., Moeslund, J. E., Monteagudo Mendoza, A., Mucina, L., Müller, J. V., Munzinger, J., Naqinezhad, A., Noroozi, J., Nowak, A., Onyshchenko, V., Overbeck, G. E., Pärtel, M., Pauchard, A., Peet, R. K., Peñuelas, J., Pérez-Haase, A., Peterka, T., Petřík, P., Peyre, G., Phillips, O. L., Prokhorov, V., Rašomavičius, V., Revermann, R., Rivas-Torres, G., Rodwell, J. S., Ruprecht, E., Rūsiņa, S., Samimi, C., Schmidt, M., Schrodt, F., Shan, H., Shirokikh, P., Šibík, J., Šilc, U., Sklenář, P., Škvorc, Ž., Sparrow, B., Sperandii, M. G., Stančić, Z., Svenning, J. C., Tang, Z., Tang, C. Q., Tsiripidis, I., Vanselow, K. A., Vásquez Martínez, R., Vassilev, K., Vélez-Martin, E., Venanzoni, R., Vibrans, A. C., Violle, C., Virtanen, R., von Wehrden, H., Wagner, V., Walker, D. A., Waller, D. M., Wang, H. F., Wesche, K., Whitfeld, T. J. S., Willner, W., Wiser, S. K., Wohlgemuth, T., Yamalov, S., Zobel, M. & Bruelheide, H., 09.2021, In: Global Ecology and Biogeography. 30, 9, p. 1740-1764 25 p.

Research output: Journal contributions › Journal articles › Research › peer-review

A conceptual map of invasion biology: Integrating hypotheses into a consensus network

Enders, M., Havemann, F., Ruland, F., Bernard-Verdier, M., Catford, J. A., Gómez-Aparicio, L., Haider, S., Heger, T., Kueffer, C., Kühn, I., Meyerson, L. A., Musseau, C., Novoa, A., Ricciardi, A., Sagouis, A., Schittko, C., Strayer, D. L., Vilà, M., Essl, F., Hulme, P. E., van Kleunen, M., Kumschick, S., Lockwood, J. L., Mabey, A. L., McGeoch, M. A., Palma, E., Pyšek, P., Saul, W. C., Yannelli, F. A. & Jeschke, J. M., 01.06.2020, In: Global Ecology and Biogeography. 29, 6, p. 978-991 14 p.

Research output: Journal contributions › Journal articles › Research › peer-review

A cross-scale assessment of productivity–diversity relationships

Craven, D., van der Sande, M. T., Meyer, C., Gerstner, K., Bennett, J. M., Giling, D. P., Hines, J., Phillips, H. R. P., May, F., Bannar-Martin, K. H., Chase, J. M. & Keil, P., 01.11.2020, In: Global Ecology and Biogeography. 29, 11, p. 1940-1955 16 p.

Research output: Journal contributions › Journal articles › Research › peer-review

Other publications by the same author(s)

Africa’s mountainous islands: archipelagos of fire, water, and problem species

Clark, V. R., Ah-Peng, C., Arévalo, J. R., Backes, A. R., Rouget, M., Martin, G. & Haider, S., 01.01.2024, Safeguarding Mountain Social-Ecological Systems, Vol 2: Building Transformative Resilience in Mountain Regions Worldwide. Schneiderbauer, S., Schroder, J. F., Pisa, P. F. & Szarzynski, J. (eds.). Elsevier, Vol. 2. p. 129-149 21 p.

Research output: Contributions to collected editions/works › Chapter › peer-review

Author Correction: Widening global variability in grassland biomass since the 1980s

MacDougall, A. S., Esch, E., Chen, Q., Carroll, O., Bonner, C., Ohlert, T., Siewert, M., Sulik, J., Schweiger, A. K., Borer, E. T., Naidu, D., Bagchi, S., Hautier, Y., Wilfahrt, P., Larson, K., Olofsson, J., Cleland, E., Muthukrishnan, R., O’Halloran, L., Alberti, J., Anderson, T. M., Arnillas, C. A., Bakker, J. D., Barrio, I. C., Biederman, L., Boughton, E. H., Brudvig, L. A., Bruschetti, M., Buckley, Y., Bugalho, M. N., Cadotte, M. W., Caldeira, M. C., Catford, J. A., D’Antonio, C., Davies, K., Daleo, P., Dickman, C. R., Donohue, I., DuPre, M. E., Elgersma, K., Eisenhauer, N., Eskelinen, A., Estrada, C., Fay, P. A., Feng, Y., Gruner, D. S., Hagenah, N., Haider, S., Harpole, W. S., Hersch-Green, E., Jentsch, A., Kirkman, K., Knops, J. M. H., Laanisto, L., Lannes, L. S., Laungani, R., Lkhagva, A., Macek, P., Martina, J. P., McCulley, R. L., Melbourne, B., Mitchell, R., Moore, J. L., Morgan, J. W., Muraina, T. O., Niu, Y., Pärtel, M., Peri, P. L., Power, S. A., Price, J. N., Prober, S. M., Ren, Z., Risch, A. C., Smith, N. G., Sonnier, G., Standish, R. J., Stevens, C. J., Tedder, M., Tognetti, P., Veen, G. F., Virtanen, R., Wardle, G. M., Waring, E., Wolf, A. A., Yahdjian, L. & Seabloom, E. W., 01.10.2024, In: Nature Ecology and Evolution. 8, 10, p. 2003 1 p.

Research output: Journal contributions › Other (editorial matter etc.) › Research

Diversity-enhanced canopy space occupation and leaf functional diversity jointly promote overyielding in tropical tree communities

Ray, T., Fichtner, A., Kunz, M., Proß, T., Bradler, P. M., Bruelheide, H., Georgi, L., Haider, S., Hildebrand, M., Potvin, C., Schnabel, F., Trogisch, S. & Oheimb, G. V., 15.11.2024, In: Science of the Total Environment. 951, 12 p., 175438.

Research output: Journal contributions › Journal articles › Research › peer-review

Ecological features facilitating spread of alien plants along Mediterranean mountain roads

Santoianni, L. A., Innangi, M., Varricchione, M., Carboni, M., La Bella, G., Haider, S. & Stanisci, A., 11.2024, In: Biological Invasions. 26, 11, p. 3879-3899 21 p.

Research output: Journal contributions › Journal articles › Research › peer-review

Land use modulates resistance of grasslands against future climate and inter-annual climate variability in a large field experiment

Korell, L., Andrzejak, M., Berger, S., Durka, W., Haider, S., Hensen, I., Herion, Y., Höfner, J., Kindermann, L., Klotz, S., Knight, T. M., Linstädter, A., Madaj, A. M., Merbach, I., Michalski, S., Plos, C., Roscher, C., Schädler, M., Welk, E. & Auge, H., 01.07.2024, In: Global Change Biology. 30, 7, 16 p., e17418.

Research output: Journal contributions › Journal articles › Research › peer-review

DOI