Search

Your search keyword '"Leuschner, C."' showing total 281 results
Start Over Author "Leuschner, C."
281 results on '"Leuschner, C."'

3. Transpiration on the rebound in lowland Sumatra

Author

Röll, A., Niu, F., Meijide, A., Ahongshangbam, J., Ehbrecht, M., Guillaume, T., Gunawan, D., Hardanto, A., Hendrayanto, Hertel, D., Kotowska, M.M., Kreft, H., Kuzyakov, Y., Leuschner, C., Nomura, M., Polle, A., Rembold, K., Sahner, J., Seidel, D., Zemp, D.C., Knohl, A., and Hölscher, D.

Published
2019
Full Text
View/download PDF

7. Global transpiration data from sap flow measurements: The SAPFLUXNET database

Author

Ministerio de Ciencia e Innovación (España), Agència de Gestió d'Ajuts Universitaris i de Recerca, Poyatos, R [0000-0003-0521-2523], Granda, V [0000-0002-0469-1991], Flo, V [0000-0003-1908-4577], Adams, MA [0000-0002-8154-0097], Adorjan, B [0000-0002-5482-2515], Aidar, MPM [0000-0001-5728-6749], Alvarado-Barrientos, MS [0000-0003-0098-0806], Anderson-Teixeira, KJ [0000-0001-7585-712X], Arain, MA [0000-0002-1433-5173], Aranda, I [0000-0001-9086-7940], Asbjornsen, H [000-0001-8126-3328], Oishi, AC [0000-0001-5064-4080], Oliveira RS [0000-0002-6392-2526], Oren, R [0000-0002-5654-1733], Ourcival,JM [0000-0002-3557-3496], Paljakka, T [0000-0002-3674-4904], Perez-Priego, O [0000-0002-3138-3177], Peri, PL [0000-0002-5398-4408], Peters, RL [0000-0002-7441-1297], Pfautsch, S [0000-0002-4390-4195], Pockman, WT [0000-0002-3286-0457], Baxter, R [0000-0002-7504-6797], Preisler, Y [0000-0001-5861-8362], Rocha, H [0000-0002-5981-4469], Röll, A [0000-0001-9457-4459], Rosado, BHP [0000-0002-8924-8672], Rowland, L [0000-0002-0774-3216], Rubtsov, A [0000-0002-9663-4344], Sabaté, S [0000-0003-1854-0761], Salmon, Y [0000-0003-4433-4021], Salomón, RL [0000-0003-2674-1731], Sánchez-Costa, E [0000-0001-6799-9611], Beamesderfer, E [0000-0002-7513-7349], Schäfer, K [0000-0001-9452-3619], Schuldt, B [0000-0003-4738-5289], Shashkin, A [0000-0001-9925-5019], Stahl, C [0000-0001-5411-1169], Stojanović, M [0000-0003-4918-8668], Sun, G [0000-0002-0159-1370], Szatniewska, J [0000-0003-3027-9965], Tatarinov, F [0000-0002-8338-6070], Tesar, M [0000-0002-5647-8498], Thomas, FM [0000-0001-6377-719X], Berveiller, D [0000-0001-7461-6420], Tor-ngern, P [0000-0001-7363-4926], Urban, J [0000-0003-1730-947X], Van der Tol, C [0000-0002-2484-8191], Van Meerveld [0000-0002-7547-3270], Varlagin, A [0000-0002-2549-5236], Werner, C [0000-0002-7676-9057], Wieser, G [0000-0002-7575-5657], Wingate, W [0000-0003-1921-1556], Wullschleger, S [0000-0002-9869-0446], Koong, Y [0000-0002-8630-3031], Blakely, B [0000-0001-9923-0794], Zweifel, R [0000-0001-9438-0582], Steppe, K [0000-0001-6252-0704], Mencuccini, M [0000-0003-0840-1477], Martínez-Vilalta, J [0000-0002-2332-7298], Boggs, J [0000-0003-4826-1843], Bohrer, G [0000-0002-9209-9540], Bolstad, P [0000-0002-1829-8859], Bonal, D [0000-0001-9602-8603], Bracho, R [0000-0002-8015-9796], Brodeur, J [0000-0001-7118-8360], Casanoves, F [0000-0001-8765-9382], Chave, J [0000-0002-7766-1347], Chen, H [0000-0001-7619-3425], Cisneros, C [0000-0001-9661-4581], Clark, K [0000-0003-0534-9677], Cremonese, E [0000-0002-6708-8532], Dang, H [0000-0003-4428-3834], David, J [0000-0001-6994-1085], David, T [0000-0003-1473-899X], Delpierre, D [0000-0003-0906-9402], Desai, AR [0000-0002-5226-6041], Do, FC [0000-0002-2852-627X], Dohnal, M [0000-0003-1769-4750], Domec, JC [0000-0003-0478-2559], Dzikiti, S [0000-0002-1892-4143], Edgar, C [0000-0002-7026-8358], Eichstaedt, R [0000-0002-4905-7994], El-Madany, T [0000-0002-0726-7141], Elbers, J [0000-0002-0631-3505], Eller, CB [0000-0002-7795-2574], Euskirchen, E [0000-0002-0848-4295], Ewers, B [0000-0001-6647-7475], Fonti, P [0000-0002-7070-3292], Forner, A [0000-0002-7123-6403], Forrester, D [0000-0003-2732-5692], Freitas, HC [0000-0002-4861-1164], Galvagno, M [0000-0002-0827-487X], Garcia-Tejera, O [0000-0001-7726-8118], Ghimire, CP [0000-0002-3715-6311], Gimeno, TE [0000-0002-1707-9291], Granier, A [0000-0002-4174-2487], Griebel, A [0000-0002-4476-8279], Guangyu, Y [0000-0003-3242-5348], Gush, MB [0000-0003-1328-9862], Hanson, PJ [0000-0001-7293-3561], Hasselquist, N [0000-0003-2777-0163], Heinrich, I [0000-0001-5800-6999], Hernandez-Santana, V [0000-0001-9018-8622], Herrmann, V [0000-0002-4519-481X], Hölttä, T [0000-0001-7677-7156], Holwerda, F [0000-0003-4125-1765], Ayutthaya, SIN [0000-0002-5354-1527], Jochheim,H [0000-0001-8047-4553], Joly, CA [0000-0002-7945-2805], Kim, HS [0000-0002-3440-6071], Klemedtsson, L [0000-0002-1122-0717], Kropp, H [0000-0002-4258-3393], Lagergren, F [0000-0002-0061-733X], Lane, P [0000-0001-6121-8386], Lapenas, A [0000-0002-2135-3636], Lechuga, V [0000-0003-3745-587X], Lee,M [0000-0002-9601-3863], Leuschner, C [0000-0002-5689-7932], Limousin, JM [0000-0002-2734-2495], Linares, JC [0000-0001-8375-6353], Linderson, ML [0000-0001-6578-6671], Lindroth, A [0000-0002-7669-784X], Llorens, P [0000-0003-4591-5303], López-Bernal, A [0000-0002-1034-4718], Loranty, MM[0000-0001-8851-7386], Macinnis-Ng, C [0000-0003-3935-9814], Marechaux, I [0000-0002-5401-0197], Martin, TA [0000-0002-7872-4194], Matheny, A [0000-0002-9532-7131], McDowell, N [0000-0002-2178-2254], Meir, P [0000-0002-2362-0398], Mészáros, I [0000-0001-8841-730X], Migliavacca, M [0000-0003-3546-8407], Mölder, M [0000-0001-6767-3195], Montagnani, L [0000-0003-2957-9071], Moore, GW [0000-0001-5190-5983], Nakada, R [0000-0002-3704-1784], Niu, F [0000-0003-3445-4011], Nolan, R [0000-0001-9277-5142], Norby,R [0000-0002-0238-9828], Novick, K [0000-0002-8431-0879], Oberhuber, W [0000-0002-5197-7044], Obojes, N [0000-0002-6718-2756], Poyatos, R, Granda, V, Flo, V, Adams, MA, Adorján, B, Aguadé, D, Aidar, MPM, Allen, S, Alvarado-Barrientos, MS, Anderson-Teixeira, KJ, Aparecido, LM, Joly, CA, Kaplick, J, Kim, HS, Klemedtsson, L, Kropp, H, Lagergren, F, Lane, P, Lang, P, Lapenas, A, Lechuga, V, Migliavacca, M, Lee, M, Leuschner, C, Limousin, JM, Linares, JC, Linderson, ML, Lindroth, A, Llorens, P, López-Bernal, A, Loranty, MM, Lüttschwager, D, Mitchell, P, MacInnis-Ng, C, Maréchaux, I, Martin, TA, Matheny, A, McDowell, N, McMahon, S, Meir, P, Mészáros, I, Molder, M, Mölder, M, Montagnani, L, Moore, GW, Nakada, R, Niu, F, Nolan, R, Norby,R, Novick, K, Oberhuber, W, Obojes, N, Oishi, AC, Oliveira RS, Oren, R, Ourcival,JM, Paljakka, T, Perez-Priego, O, Peri, PL, Peters, RL, Pfautsch, S, Pockman, WT, Preisler, Y, Rascher, K, Robinson, G, Rocha, H, Rocheteau, A, Röll, A, Rosado, BHP, Rowland, L [, Rubtsov, A, Sabaté, S, Salmon, Y, Salomón, RL, Sánchez-Costa, E, Schäfer, K, Schuldt, B, Shashkin, A, Stahl, C, Stojanovic, M, Suárez, JC, Sun, G, Niu, FR, Szatniewska, J, Tatarinov, F, Tesar, M, Thomas, FM, Tor-ngern, P, Urban, J, Valladares, F, Van der Tol, C, Van Meerveld, Varlagin, A, Norby, R, Voigt, H, Warren, J, Werner, C, Werner, W, Wieser, G, Wingate, W, Wullschleger, S, Koong, Y, Zweifel, R, Arain, MA, Oliveira, RS, Ourcival, JM, Aranda, I, Roll, A, Asbjornsen, H, Baxter, R, Beamesderfer, E, Berry, ZC, Berveiller, D, Blakely, B, Boggs, J, Bohrer, G, Bolstad, PV, Bonal, D, Bracho, R, Brito, P, Brodeur, J, Casanoves, F, Chave, J, Chen, H, Cisneros, C, Clark, K, Cremonese, E, Dang, HZ, David, JS, David, TS, Delpierre, N, Desai, AR, Do, Frederic C., Dohnal, M, Domec, JC, Dzikiti, S, Edgar, C, Eichstaedt, R, El-Madany, TS, Elbers, J, Eller, CB, Euskirchen, ES, Ewers, B, Fonti, P, Forner, A, Forrester, DI, Freitas, HC, Galvagno, M, Garcia-Tejera, O, Ghimire, CP, Gimeno, TE, Grace, J, Granier, A, Griebel, A, Guangyu, Y, Gush, MB, Hanson, PJ, Hasselquist, NJ, Heinrich, I, Hernandez-Santana, V, Herrmann, V, Hölttä, T, Holwerda, F, Irvine, J, Ayutthaya, SIN, Jarvis, PG, Jochheim, H, Ministerio de Ciencia e Innovación (España), Agència de Gestió d'Ajuts Universitaris i de Recerca, Poyatos, R [0000-0003-0521-2523], Granda, V [0000-0002-0469-1991], Flo, V [0000-0003-1908-4577], Adams, MA [0000-0002-8154-0097], Adorjan, B [0000-0002-5482-2515], Aidar, MPM [0000-0001-5728-6749], Alvarado-Barrientos, MS [0000-0003-0098-0806], Anderson-Teixeira, KJ [0000-0001-7585-712X], Arain, MA [0000-0002-1433-5173], Aranda, I [0000-0001-9086-7940], Asbjornsen, H [000-0001-8126-3328], Oishi, AC [0000-0001-5064-4080], Oliveira RS [0000-0002-6392-2526], Oren, R [0000-0002-5654-1733], Ourcival,JM [0000-0002-3557-3496], Paljakka, T [0000-0002-3674-4904], Perez-Priego, O [0000-0002-3138-3177], Peri, PL [0000-0002-5398-4408], Peters, RL [0000-0002-7441-1297], Pfautsch, S [0000-0002-4390-4195], Pockman, WT [0000-0002-3286-0457], Baxter, R [0000-0002-7504-6797], Preisler, Y [0000-0001-5861-8362], Rocha, H [0000-0002-5981-4469], Röll, A [0000-0001-9457-4459], Rosado, BHP [0000-0002-8924-8672], Rowland, L [0000-0002-0774-3216], Rubtsov, A [0000-0002-9663-4344], Sabaté, S [0000-0003-1854-0761], Salmon, Y [0000-0003-4433-4021], Salomón, RL [0000-0003-2674-1731], Sánchez-Costa, E [0000-0001-6799-9611], Beamesderfer, E [0000-0002-7513-7349], Schäfer, K [0000-0001-9452-3619], Schuldt, B [0000-0003-4738-5289], Shashkin, A [0000-0001-9925-5019], Stahl, C [0000-0001-5411-1169], Stojanović, M [0000-0003-4918-8668], Sun, G [0000-0002-0159-1370], Szatniewska, J [0000-0003-3027-9965], Tatarinov, F [0000-0002-8338-6070], Tesar, M [0000-0002-5647-8498], Thomas, FM [0000-0001-6377-719X], Berveiller, D [0000-0001-7461-6420], Tor-ngern, P [0000-0001-7363-4926], Urban, J [0000-0003-1730-947X], Van der Tol, C [0000-0002-2484-8191], Van Meerveld [0000-0002-7547-3270], Varlagin, A [0000-0002-2549-5236], Werner, C [0000-0002-7676-9057], Wieser, G [0000-0002-7575-5657], Wingate, W [0000-0003-1921-1556], Wullschleger, S [0000-0002-9869-0446], Koong, Y [0000-0002-8630-3031], Blakely, B [0000-0001-9923-0794], Zweifel, R [0000-0001-9438-0582], Steppe, K [0000-0001-6252-0704], Mencuccini, M [0000-0003-0840-1477], Martínez-Vilalta, J [0000-0002-2332-7298], Boggs, J [0000-0003-4826-1843], Bohrer, G [0000-0002-9209-9540], Bolstad, P [0000-0002-1829-8859], Bonal, D [0000-0001-9602-8603], Bracho, R [0000-0002-8015-9796], Brodeur, J [0000-0001-7118-8360], Casanoves, F [0000-0001-8765-9382], Chave, J [0000-0002-7766-1347], Chen, H [0000-0001-7619-3425], Cisneros, C [0000-0001-9661-4581], Clark, K [0000-0003-0534-9677], Cremonese, E [0000-0002-6708-8532], Dang, H [0000-0003-4428-3834], David, J [0000-0001-6994-1085], David, T [0000-0003-1473-899X], Delpierre, D [0000-0003-0906-9402], Desai, AR [0000-0002-5226-6041], Do, FC [0000-0002-2852-627X], Dohnal, M [0000-0003-1769-4750], Domec, JC [0000-0003-0478-2559], Dzikiti, S [0000-0002-1892-4143], Edgar, C [0000-0002-7026-8358], Eichstaedt, R [0000-0002-4905-7994], El-Madany, T [0000-0002-0726-7141], Elbers, J [0000-0002-0631-3505], Eller, CB [0000-0002-7795-2574], Euskirchen, E [0000-0002-0848-4295], Ewers, B [0000-0001-6647-7475], Fonti, P [0000-0002-7070-3292], Forner, A [0000-0002-7123-6403], Forrester, D [0000-0003-2732-5692], Freitas, HC [0000-0002-4861-1164], Galvagno, M [0000-0002-0827-487X], Garcia-Tejera, O [0000-0001-7726-8118], Ghimire, CP [0000-0002-3715-6311], Gimeno, TE [0000-0002-1707-9291], Granier, A [0000-0002-4174-2487], Griebel, A [0000-0002-4476-8279], Guangyu, Y [0000-0003-3242-5348], Gush, MB [0000-0003-1328-9862], Hanson, PJ [0000-0001-7293-3561], Hasselquist, N [0000-0003-2777-0163], Heinrich, I [0000-0001-5800-6999], Hernandez-Santana, V [0000-0001-9018-8622], Herrmann, V [0000-0002-4519-481X], Hölttä, T [0000-0001-7677-7156], Holwerda, F [0000-0003-4125-1765], Ayutthaya, SIN [0000-0002-5354-1527], Jochheim,H [0000-0001-8047-4553], Joly, CA [0000-0002-7945-2805], Kim, HS [0000-0002-3440-6071], Klemedtsson, L [0000-0002-1122-0717], Kropp, H [0000-0002-4258-3393], Lagergren, F [0000-0002-0061-733X], Lane, P [0000-0001-6121-8386], Lapenas, A [0000-0002-2135-3636], Lechuga, V [0000-0003-3745-587X], Lee,M [0000-0002-9601-3863], Leuschner, C [0000-0002-5689-7932], Limousin, JM [0000-0002-2734-2495], Linares, JC [0000-0001-8375-6353], Linderson, ML [0000-0001-6578-6671], Lindroth, A [0000-0002-7669-784X], Llorens, P [0000-0003-4591-5303], López-Bernal, A [0000-0002-1034-4718], Loranty, MM[0000-0001-8851-7386], Macinnis-Ng, C [0000-0003-3935-9814], Marechaux, I [0000-0002-5401-0197], Martin, TA [0000-0002-7872-4194], Matheny, A [0000-0002-9532-7131], McDowell, N [0000-0002-2178-2254], Meir, P [0000-0002-2362-0398], Mészáros, I [0000-0001-8841-730X], Migliavacca, M [0000-0003-3546-8407], Mölder, M [0000-0001-6767-3195], Montagnani, L [0000-0003-2957-9071], Moore, GW [0000-0001-5190-5983], Nakada, R [0000-0002-3704-1784], Niu, F [0000-0003-3445-4011], Nolan, R [0000-0001-9277-5142], Norby,R [0000-0002-0238-9828], Novick, K [0000-0002-8431-0879], Oberhuber, W [0000-0002-5197-7044], Obojes, N [0000-0002-6718-2756], Poyatos, R, Granda, V, Flo, V, Adams, MA, Adorján, B, Aguadé, D, Aidar, MPM, Allen, S, Alvarado-Barrientos, MS, Anderson-Teixeira, KJ, Aparecido, LM, Joly, CA, Kaplick, J, Kim, HS, Klemedtsson, L, Kropp, H, Lagergren, F, Lane, P, Lang, P, Lapenas, A, Lechuga, V, Migliavacca, M, Lee, M, Leuschner, C, Limousin, JM, Linares, JC, Linderson, ML, Lindroth, A, Llorens, P, López-Bernal, A, Loranty, MM, Lüttschwager, D, Mitchell, P, MacInnis-Ng, C, Maréchaux, I, Martin, TA, Matheny, A, McDowell, N, McMahon, S, Meir, P, Mészáros, I, Molder, M, Mölder, M, Montagnani, L, Moore, GW, Nakada, R, Niu, F, Nolan, R, Norby,R, Novick, K, Oberhuber, W, Obojes, N, Oishi, AC, Oliveira RS, Oren, R, Ourcival,JM, Paljakka, T, Perez-Priego, O, Peri, PL, Peters, RL, Pfautsch, S, Pockman, WT, Preisler, Y, Rascher, K, Robinson, G, Rocha, H, Rocheteau, A, Röll, A, Rosado, BHP, Rowland, L [, Rubtsov, A, Sabaté, S, Salmon, Y, Salomón, RL, Sánchez-Costa, E, Schäfer, K, Schuldt, B, Shashkin, A, Stahl, C, Stojanovic, M, Suárez, JC, Sun, G, Niu, FR, Szatniewska, J, Tatarinov, F, Tesar, M, Thomas, FM, Tor-ngern, P, Urban, J, Valladares, F, Van der Tol, C, Van Meerveld, Varlagin, A, Norby, R, Voigt, H, Warren, J, Werner, C, Werner, W, Wieser, G, Wingate, W, Wullschleger, S, Koong, Y, Zweifel, R, Arain, MA, Oliveira, RS, Ourcival, JM, Aranda, I, Roll, A, Asbjornsen, H, Baxter, R, Beamesderfer, E, Berry, ZC, Berveiller, D, Blakely, B, Boggs, J, Bohrer, G, Bolstad, PV, Bonal, D, Bracho, R, Brito, P, Brodeur, J, Casanoves, F, Chave, J, Chen, H, Cisneros, C, Clark, K, Cremonese, E, Dang, HZ, David, JS, David, TS, Delpierre, N, Desai, AR, Do, Frederic C., Dohnal, M, Domec, JC, Dzikiti, S, Edgar, C, Eichstaedt, R, El-Madany, TS, Elbers, J, Eller, CB, Euskirchen, ES, Ewers, B, Fonti, P, Forner, A, Forrester, DI, Freitas, HC, Galvagno, M, Garcia-Tejera, O, Ghimire, CP, Gimeno, TE, Grace, J, Granier, A, Griebel, A, Guangyu, Y, Gush, MB, Hanson, PJ, Hasselquist, NJ, Heinrich, I, Hernandez-Santana, V, Herrmann, V, Hölttä, T, Holwerda, F, Irvine, J, Ayutthaya, SIN, Jarvis, PG, and Jochheim, H

Abstract

Plant transpiration links physiological responses of vegetation to water supply and demand with hydrological, energy, and carbon budgets at the land-atmosphere interface. However, despite being the main land evaporative flux at the global scale, transpiration and its response to environmental drivers are currently not well constrained by observations. Here we introduce the first global compilation of whole-plant transpiration data from sap flow measurements (SAPFLUXNET, https://sapfluxnet.creaf.cat/, last access: 8 June 2021). We harmonized and quality-controlled individual datasets supplied by contributors worldwide in a semi-automatic data workflow implemented in the R programming language. Datasets include sub-daily time series of sap flow and hydrometeorological drivers for one or more growing seasons, as well as metadata on the stand characteristics, plant attributes, and technical details of the measurements. SAPFLUXNET contains 202 globally distributed datasets with sap flow time series for 2714 plants, mostly trees, of 174 species. SAPFLUXNET has a broad bioclimatic coverage, with woodland/shrubland and temperate forest biomes especially well represented (80% of the datasets). The measurements cover a wide variety of stand structural characteristics and plant sizes. The datasets encompass the period between 1995 and 2018, with 50% of the datasets being at least 3 years long. Accompanying radiation and vapour pressure deficit data are available for most of the datasets, while on-site soil water content is available for 56% of the datasets. Many datasets contain data for species that make up 90% or more of the total stand basal area, allowing the estimation of stand transpiration in diverse ecological settings. SAPFLUXNET adds to existing plant trait datasets, ecosystem flux networks, and remote sensing products to help increase our understanding of plant water use, plant responses to drought, and ecohydrological processes. SAPFLUXNET version 0.1.5 is freely a

Published
2021

8. Altitudinal Changes in Stand Structure and Biomass Allocation of Tropical Mountain Forests in Relation to Microclimate and Soil Chemistry

Author

Moser, G., Röderstein, M., Soethe, N., Hertel, D., Leuschner, C., Caldwell, M. M., editor, Heldmaier, G., editor, Jackson, R. B., editor, Lange, O. L., editor, Mooney, H. A., editor, Schulze, E. -D., editor, Sommer, U., editor, Beck, Erwin, editor, Bendix, Jörg, editor, Kottke, Ingrid, editor, Makeschin, Franz, editor, and Mosandl, Reinhard, editor

Published
2008
Full Text
View/download PDF

13. Global transpiration data from sap flow measurements: The SAPFLUXNET database

Author

Poyatos, R, Granda, V, Flo, V, Adams, MA, Adorján, B, Aguadé, D, Aidar, MPM, Allen, S, Alvarado-Barrientos, MS, Anderson-Teixeira, KJ, Aparecido, LM, Joly, CA, Kaplick, J, Kim, HS, Klemedtsson, L, Kropp, H, Lagergren, F, Lane, P, Lang, P, Lapenas, A, Lechuga, V, Migliavacca, M, Lee, M, Leuschner, C, Limousin, JM, Linares, JC, Linderson, ML, Lindroth, A, Llorens, P, López-Bernal, A, Loranty, MM, Lüttschwager, D, Mitchell, P, MacInnis-Ng, C, Maréchaux, I, Martin, TA, Matheny, A, McDowell, N, McMahon, S, Meir, P, Mészáros, I, Molder, M, Mölder, M, Montagnani, L, Moore, GW, Nakada, R, Niu, F, Nolan, R, Norby,R, Novick, K, Oberhuber, W, Obojes, N, Oishi, AC, Oliveira RS, Oren, R, Ourcival,JM, Paljakka, T, Perez-Priego, O, Peri, PL, Peters, RL, Pfautsch, S, Pockman, WT, Preisler, Y, Rascher, K, Robinson, G, Rocha, H, Rocheteau, A, Röll, A, Rosado, BHP, Rowland, L [, Rubtsov, A, Sabaté, S, Salmon, Y, Salomón, RL, Sánchez-Costa, E, Schäfer, K, Schuldt, B, Shashkin, A, Stahl, C, Stojanovic, M, Suárez, JC, Sun, G, Niu, FR, Szatniewska, J, Tatarinov, F, Tesar, M, Thomas, FM, Tor-ngern, P, Urban, J, Valladares, F, Van der Tol, C, Van Meerveld, Varlagin, A, Norby, R, Voigt, H, Warren, J, Werner, C, Werner, W, Wieser, G, Wingate, W, Wullschleger, S, Koong, Y, Zweifel, R, Arain, MA, Oliveira, RS, Ourcival, JM, Aranda, I, Roll, A, Asbjornsen, H, Baxter, R, Beamesderfer, E, Berry, ZC, Berveiller, D, Blakely, B, Boggs, J, Bohrer, G, Bolstad, PV, Bonal, D, Bracho, R, Brito, P, Brodeur, J, Casanoves, F, Chave, J, Chen, H, Cisneros, C, Clark, K, Cremonese, E, Dang, HZ, David, JS, David, TS, Delpierre, N, Desai, AR, Do, Frederic C., Dohnal, M, Domec, JC, Dzikiti, S, Edgar, C, Eichstaedt, R, El-Madany, TS, Elbers, J, Eller, CB, Euskirchen, ES, Ewers, B, Fonti, P, Forner, A, Forrester, DI, Freitas, HC, Galvagno, M, Garcia-Tejera, O, Ghimire, CP, Gimeno, TE, Grace, J, Granier, A, Griebel, A, Guangyu, Y, Gush, MB, Hanson, PJ, Hasselquist, NJ, Heinrich, I, Hernandez-Santana, V, Herrmann, V, Hölttä, T, Holwerda, F, Irvine, J, Ayutthaya, SIN, Jarvis, PG, Jochheim, H, Ministerio de Ciencia e Innovación (España), Agència de Gestió d'Ajuts Universitaris i de Recerca, Poyatos, R [0000-0003-0521-2523], Granda, V [0000-0002-0469-1991], Flo, V [0000-0003-1908-4577], Adams, MA [0000-0002-8154-0097], Adorjan, B [0000-0002-5482-2515], Aidar, MPM [0000-0001-5728-6749], Alvarado-Barrientos, MS [0000-0003-0098-0806], Anderson-Teixeira, KJ [0000-0001-7585-712X], Arain, MA [0000-0002-1433-5173], Aranda, I [0000-0001-9086-7940], Asbjornsen, H [000-0001-8126-3328], Oishi, AC [0000-0001-5064-4080], Oliveira RS [0000-0002-6392-2526], Oren, R [0000-0002-5654-1733], Ourcival,JM [0000-0002-3557-3496], Paljakka, T [0000-0002-3674-4904], Perez-Priego, O [0000-0002-3138-3177], Peri, PL [0000-0002-5398-4408], Peters, RL [0000-0002-7441-1297], Pfautsch, S [0000-0002-4390-4195], Pockman, WT [0000-0002-3286-0457], Baxter, R [0000-0002-7504-6797], Preisler, Y [0000-0001-5861-8362], Rocha, H [0000-0002-5981-4469], Röll, A [0000-0001-9457-4459], Rosado, BHP [0000-0002-8924-8672], Rowland, L [0000-0002-0774-3216], Rubtsov, A [0000-0002-9663-4344], Sabaté, S [0000-0003-1854-0761], Salmon, Y [0000-0003-4433-4021], Salomón, RL [0000-0003-2674-1731], Sánchez-Costa, E [0000-0001-6799-9611], Beamesderfer, E [0000-0002-7513-7349], Schäfer, K [0000-0001-9452-3619], Schuldt, B [0000-0003-4738-5289], Shashkin, A [0000-0001-9925-5019], Stahl, C [0000-0001-5411-1169], Stojanović, M [0000-0003-4918-8668], Sun, G [0000-0002-0159-1370], Szatniewska, J [0000-0003-3027-9965], Tatarinov, F [0000-0002-8338-6070], Tesar, M [0000-0002-5647-8498], Thomas, FM [0000-0001-6377-719X], Berveiller, D [0000-0001-7461-6420], Tor-ngern, P [0000-0001-7363-4926], Urban, J [0000-0003-1730-947X], Van der Tol, C [0000-0002-2484-8191], Van Meerveld [0000-0002-7547-3270], Varlagin, A [0000-0002-2549-5236], Werner, C [0000-0002-7676-9057], Wieser, G [0000-0002-7575-5657], Wingate, W [0000-0003-1921-1556], Wullschleger, S [0000-0002-9869-0446], Koong, Y [0000-0002-8630-3031], Blakely, B [0000-0001-9923-0794], Zweifel, R [0000-0001-9438-0582], Steppe, K [0000-0001-6252-0704], Mencuccini, M [0000-0003-0840-1477], Martínez-Vilalta, J [0000-0002-2332-7298], Boggs, J [0000-0003-4826-1843], Bohrer, G [0000-0002-9209-9540], Bolstad, P [0000-0002-1829-8859], Bonal, D [0000-0001-9602-8603], Bracho, R [0000-0002-8015-9796], Brodeur, J [0000-0001-7118-8360], Casanoves, F [0000-0001-8765-9382], Chave, J [0000-0002-7766-1347], Chen, H [0000-0001-7619-3425], Cisneros, C [0000-0001-9661-4581], Clark, K [0000-0003-0534-9677], Cremonese, E [0000-0002-6708-8532], Dang, H [0000-0003-4428-3834], David, J [0000-0001-6994-1085], David, T [0000-0003-1473-899X], Delpierre, D [0000-0003-0906-9402], Desai, AR [0000-0002-5226-6041], Do, FC [0000-0002-2852-627X], Dohnal, M [0000-0003-1769-4750], Domec, JC [0000-0003-0478-2559], Dzikiti, S [0000-0002-1892-4143], Edgar, C [0000-0002-7026-8358], Eichstaedt, R [0000-0002-4905-7994], El-Madany, T [0000-0002-0726-7141], Elbers, J [0000-0002-0631-3505], Eller, CB [0000-0002-7795-2574], Euskirchen, E [0000-0002-0848-4295], Ewers, B [0000-0001-6647-7475], Fonti, P [0000-0002-7070-3292], Forner, A [0000-0002-7123-6403], Forrester, D [0000-0003-2732-5692], Freitas, HC [0000-0002-4861-1164], Galvagno, M [0000-0002-0827-487X], Garcia-Tejera, O [0000-0001-7726-8118], Ghimire, CP [0000-0002-3715-6311], Gimeno, TE [0000-0002-1707-9291], Granier, A [0000-0002-4174-2487], Griebel, A [0000-0002-4476-8279], Guangyu, Y [0000-0003-3242-5348], Gush, MB [0000-0003-1328-9862], Hanson, PJ [0000-0001-7293-3561], Hasselquist, N [0000-0003-2777-0163], Heinrich, I [0000-0001-5800-6999], Hernandez-Santana, V [0000-0001-9018-8622], Herrmann, V [0000-0002-4519-481X], Hölttä, T [0000-0001-7677-7156], Holwerda, F [0000-0003-4125-1765], Ayutthaya, SIN [0000-0002-5354-1527], Jochheim,H [0000-0001-8047-4553], Joly, CA [0000-0002-7945-2805], Kim, HS [0000-0002-3440-6071], Klemedtsson, L [0000-0002-1122-0717], Kropp, H [0000-0002-4258-3393], Lagergren, F [0000-0002-0061-733X], Lane, P [0000-0001-6121-8386], Lapenas, A [0000-0002-2135-3636], Lechuga, V [0000-0003-3745-587X], Lee,M [0000-0002-9601-3863], Leuschner, C [0000-0002-5689-7932], Limousin, JM [0000-0002-2734-2495], Linares, JC [0000-0001-8375-6353], Linderson, ML [0000-0001-6578-6671], Lindroth, A [0000-0002-7669-784X], Llorens, P [0000-0003-4591-5303], López-Bernal, A [0000-0002-1034-4718], Loranty, MM[0000-0001-8851-7386], Macinnis-Ng, C [0000-0003-3935-9814], Marechaux, I [0000-0002-5401-0197], Martin, TA [0000-0002-7872-4194], Matheny, A [0000-0002-9532-7131], McDowell, N [0000-0002-2178-2254], Meir, P [0000-0002-2362-0398], Mészáros, I [0000-0001-8841-730X], Migliavacca, M [0000-0003-3546-8407], Mölder, M [0000-0001-6767-3195], Montagnani, L [0000-0003-2957-9071], Moore, GW [0000-0001-5190-5983], Nakada, R [0000-0002-3704-1784], Niu, F [0000-0003-3445-4011], Nolan, R [0000-0001-9277-5142], Norby,R [0000-0002-0238-9828], Novick, K [0000-0002-8431-0879], Oberhuber, W [0000-0002-5197-7044], and Obojes, N [0000-0002-6718-2756]

Subjects
Stomatal condua, Sapflow measurements, Heat-pulse method, Vapor- pressure deficit, Radial patterns, Water use strategies, Eddy covariance, Fluw density, Thermal dissipation
Abstract

Plant transpiration links physiological responses of vegetation to water supply and demand with hydrological, energy, and carbon budgets at the land-atmosphere interface. However, despite being the main land evaporative flux at the global scale, transpiration and its response to environmental drivers are currently not well constrained by observations. Here we introduce the first global compilation of whole-plant transpiration data from sap flow measurements (SAPFLUXNET, https://sapfluxnet.creaf.cat/, last access: 8 June 2021). We harmonized and quality-controlled individual datasets supplied by contributors worldwide in a semi-automatic data workflow implemented in the R programming language. Datasets include sub-daily time series of sap flow and hydrometeorological drivers for one or more growing seasons, as well as metadata on the stand characteristics, plant attributes, and technical details of the measurements. SAPFLUXNET contains 202 globally distributed datasets with sap flow time series for 2714 plants, mostly trees, of 174 species. SAPFLUXNET has a broad bioclimatic coverage, with woodland/shrubland and temperate forest biomes especially well represented (80% of the datasets). The measurements cover a wide variety of stand structural characteristics and plant sizes. The datasets encompass the period between 1995 and 2018, with 50% of the datasets being at least 3 years long. Accompanying radiation and vapour pressure deficit data are available for most of the datasets, while on-site soil water content is available for 56% of the datasets. Many datasets contain data for species that make up 90% or more of the total stand basal area, allowing the estimation of stand transpiration in diverse ecological settings. SAPFLUXNET adds to existing plant trait datasets, ecosystem flux networks, and remote sensing products to help increase our understanding of plant water use, plant responses to drought, and ecohydrological processes. SAPFLUXNET version 0.1.5 is freely available from the Zenodo repository (10.5281/zenodo.3971689; Poyatos et al., 2020a). The "sapfluxnetr"R package-designed to access, visualize, and process SAPFLUXNET data-is available from CRAN. This research was supported by the Ministerio de Economía y Competitividad (grant no. CGL2014-55883-JIN), the Ministerio de Ciencia e Innovación (grant no. RTI2018-095297-J-I00), the Ministerio de Ciencia e Innovación (grant no. CAS16/00207), the Agència de Gestió d'Ajuts Universitaris i de Recerca (grant no. SGR1001), the Alexander von Humboldt-Stiftung (Humboldt Research Fellowship for Experienced Researchers (RP)), and the Institució Catalana de Recerca i Estudis Avançats (Academia Award (JMV)). Víctor Flo was supported by the doctoral fellowship FPU15/03939 (MECD, Spain).

Published
2021

16. Leaf trait modification in European beech trees in response to climatic and edaphic drought.

Author

Weithmann, G., Schuldt, B., Link, R. M., Heil, D., Hoeber, S., John, H., Müller‐Haubold, H., Schüller, L.‐M., Schumann, K., and Leuschner, C.

Subjects
EUROPEAN beech, DROUGHTS, LEAF area, CARBON isotopes, TREES
Abstract

Leaf morphological and physiological traits control the carbon and water relations of mature trees and are determinants of drought tolerance, but it is not well understood how they are modified in response to water deficits.We analysed five sun‐canopy leaf traits (mean leaf size (LS), specific leaf area (SLA), Huber value (HV), water potential at turgor loss point (Ψtlp) and foliar carbon isotope signature (δ13C)) in European beech (Fagus sylvatica L.) across three precipitation gradients sampled in moist (2010), dry (2019) and very dry (2018) summers, and tested their response to short‐term water deficits (climatic water balance (CWB) preceding sample collection) and long‐term water availability (mean annual precipitation (MAP), plant‐available soil water capacity (AWC) and neighbourhood competition).Across the 34 sites, LS varied seven‐fold (3.9−27.0 cm2), SLA four‐fold (77.1−306.9 cm²·g−1) and HV six‐fold (1.0−6.65 cm2·m−2). In the 2018 dataset, LS showed a negative and HV a positive relationship to MAP, which contradicts relations found in multi‐species samples. Average Ψtlp ranged from −1.90 to −2.62 MPa and decreased across the sites with decreasing CWB in the month prior to measurement, as well as with decreasing MAP and AWC in 2019. Studied leaf traits varied considerably between years, suggesting that mast fruiting and the severe 2018 drought caused the formation of smaller leaves.We conclude that sun‐canopy leaf traits of European beech exhibit considerable plasticity in response to climatic and edaphic aridity, and that osmotic adjustment may be an important element in the drought response strategy of this anisohydric tree species. [ABSTRACT FROM AUTHOR]

Published
2022
Full Text
View/download PDF

19. Global transpiration data from sap flow measurements: The SAPFLUXNET database

Author

Poyatos, R., Granda, V, Flo, V., Adorján, B., Adams, M. A., Aguadé, D., Aidar, M. P. M., Allen, S., Alvarado-Barrientos, M. S., Anderson-Teixeira, K. J., Aparecido, L. M., Altaf Arain, M., Aranda, I., Asbjornsen, H., Baxter, R., Beamesderfer, E., Berry, Z. C., Berveiller, D., Blakely, B., Boggs, J., Bohrer, G., Bolstad, P. V., Bonal, D., Bracho, R., Brito, P., Brodeur, J., Casanoves, F., Chave, J., Chen, H., Cisneros, C., Clark, K., Cremonese, E., Dang, H., David, J. S., David, T. S., Delpierre, N., Desai, A. R., Do, F. C., Dohnal, N., Domec, J. C., Dzikiti, S., Edgar, C., Eichstaedt, R., El-Madany, T. S., Elbers, J., Eller, C. B., Euskirchen, E. S., Ewers, B., Fonti, P., Forner, A., Forrester, D. I., Freitas, H. C., Galvagno, M., Garcia-Tejera, O., Ghimire, C. P., Gimeno, T. E., Grace, J., Granier, A., Griebel, A., Guangyu, Y., Gush, M. B., Hanson, P. J., Hasselquist, N. J., Heinrich, I., Hernandez-Santana, V., Herrmann, V, Hölttä, T., Holwerda, F., Irvine, J., Na Ayutthaya, S. Y., Jarvis, P. J., Jochheim, H., Joly, C. A., Kaplick, J., Kim, H. S., Klemedtsson, L., Kropp, H., Lagergren, F., Lane, P., Lang, P., Lapenas, A., Lechuga, V., Lee, M., Leuschner, C., Limousin, J. M., Linares, J. C., Linderson, M. L., Lindroth, A., Llorens, P., López-Bernal, A., Loranty, M. M., Lüttschwager, D., MacInnis-Ng, C., Maréchaux, I., Martin, T. A., Matheny, A., McDowell, N., McMahon, S., Meir, P., Mészáros, I., Migliavacca, M., Mitchell, P., Mölder, M., Montagnani, L., Moore, G. W., Nakada, R., Niu, F., Nolan, R.H., Norby, R., Novick, K., Oberhuber, W., Obojes, N., Oishi, A. C., Oliveira, R. S., Olen, R., Ourcival, J. M., Paljakka, T., Perez Priego, O., Peri, P. L., Peters, R. L., Pfautsch, S., Pockman, W. T., Preysler, I., Rascher, K., Robinson, G., Rocheteau, A., Rocha, H., Röll, A., Rosado, B. H. P., Rowland, L., Rubtsov, A. V., Sabaté, S., Salmón, Y., Salomon, R. L., Schäfer, K. V. R., Sánchez-Costa, E., Schuld, B., Shashkin, A., Stahl, C., Stojanovic, M., Suárez, J. C., Szatniewska, J, Sun, G., Tatarinov, F., TesaÅ, M, Thomas, F. M., Tor-Ngern, P., Urban, J., Valladares, F., Van Der Tol, C., Van Meerveld, I., Varlagin, A., Voigt, H., Warren, J., Werner, C., Poyatos, R., Granda, V, Flo, V., Adorján, B., Adams, M. A., Aguadé, D., Aidar, M. P. M., Allen, S., Alvarado-Barrientos, M. S., Anderson-Teixeira, K. J., Aparecido, L. M., Altaf Arain, M., Aranda, I., Asbjornsen, H., Baxter, R., Beamesderfer, E., Berry, Z. C., Berveiller, D., Blakely, B., Boggs, J., Bohrer, G., Bolstad, P. V., Bonal, D., Bracho, R., Brito, P., Brodeur, J., Casanoves, F., Chave, J., Chen, H., Cisneros, C., Clark, K., Cremonese, E., Dang, H., David, J. S., David, T. S., Delpierre, N., Desai, A. R., Do, F. C., Dohnal, N., Domec, J. C., Dzikiti, S., Edgar, C., Eichstaedt, R., El-Madany, T. S., Elbers, J., Eller, C. B., Euskirchen, E. S., Ewers, B., Fonti, P., Forner, A., Forrester, D. I., Freitas, H. C., Galvagno, M., Garcia-Tejera, O., Ghimire, C. P., Gimeno, T. E., Grace, J., Granier, A., Griebel, A., Guangyu, Y., Gush, M. B., Hanson, P. J., Hasselquist, N. J., Heinrich, I., Hernandez-Santana, V., Herrmann, V, Hölttä, T., Holwerda, F., Irvine, J., Na Ayutthaya, S. Y., Jarvis, P. J., Jochheim, H., Joly, C. A., Kaplick, J., Kim, H. S., Klemedtsson, L., Kropp, H., Lagergren, F., Lane, P., Lang, P., Lapenas, A., Lechuga, V., Lee, M., Leuschner, C., Limousin, J. M., Linares, J. C., Linderson, M. L., Lindroth, A., Llorens, P., López-Bernal, A., Loranty, M. M., Lüttschwager, D., MacInnis-Ng, C., Maréchaux, I., Martin, T. A., Matheny, A., McDowell, N., McMahon, S., Meir, P., Mészáros, I., Migliavacca, M., Mitchell, P., Mölder, M., Montagnani, L., Moore, G. W., Nakada, R., Niu, F., Nolan, R.H., Norby, R., Novick, K., Oberhuber, W., Obojes, N., Oishi, A. C., Oliveira, R. S., Olen, R., Ourcival, J. M., Paljakka, T., Perez Priego, O., Peri, P. L., Peters, R. L., Pfautsch, S., Pockman, W. T., Preysler, I., Rascher, K., Robinson, G., Rocheteau, A., Rocha, H., Röll, A., Rosado, B. H. P., Rowland, L., Rubtsov, A. V., Sabaté, S., Salmón, Y., Salomon, R. L., Schäfer, K. V. R., Sánchez-Costa, E., Schuld, B., Shashkin, A., Stahl, C., Stojanovic, M., Suárez, J. C., Szatniewska, J, Sun, G., Tatarinov, F., TesaÅ, M, Thomas, F. M., Tor-Ngern, P., Urban, J., Valladares, F., Van Der Tol, C., Van Meerveld, I., Varlagin, A., Voigt, H., Warren, J., and Werner, C.

Abstract

Plant transpiration links physiological responses of vegetation to water supply and demand with hydrological, energy, and carbon budgets at the land-atmosphere interface. However, despite being the main land evaporative flux at the global scale, transpiration and its response to environmental drivers are currently not well constrained by observations. Here we introduce the first global compilation of whole-plant transpiration data from sap flow measurements (SAPFLUXNET, https://sapfluxnet.creaf.cat/, last access: 8 June 2021). We harmonized and quality-controlled individual datasets supplied by contributors worldwide in a semi-automatic data workflow implemented in the R programming language. Datasets include sub-daily time series of sap flow and hydrometeorological drivers for one or more growing seasons, as well as metadata on the stand characteristics, plant attributes, and technical details of the measurements. SAPFLUXNET contains 202 globally distributed datasets with sap flow time series for 2714 plants, mostly trees, of 174 species. SAPFLUXNET has a broad bioclimatic coverage, with woodland/shrubland and temperate forest biomes especially well represented (80% of the datasets). The measurements cover a wide variety of stand structural characteristics and plant sizes. The datasets encompass the period between 1995 and 2018, with 50% of the datasets being at least 3 years long. Accompanying radiation and vapour pressure deficit data are available for most of the datasets, while on-site soil water content is available for 56% of the datasets. Many datasets contain data for species that make up 90% or more of the total stand basal area, allowing the estimation of stand transpiration in diverse ecological settings. SAPFLUXNET adds to existing plant trait datasets, ecosystem flux networks, and remote sensing products to help increase our understanding of plant water use, plant responses to drought, and ecohydrological processes. SAPFLUXNET version 0.1.5 is freely a

Published
2021

21. Globale Biodiversität in der Krise – Was können Deutschland und die EU dagegen tun? Global biodiversity in crisis – What can Germany and the EU do about it?

Author

Drenckhahn, D., Arneth, A., Filser, J., Haberl, H., Hansjürgens, Bernd, Herrmann, B., Homeier, J., Leuschner, C., Mosbrugger, V., Reusch, T., Schäffer, A., Scherer-Lorenzen, M., Tockner, K., Drenckhahn, D., Arneth, A., Filser, J., Haberl, H., Hansjürgens, Bernd, Herrmann, B., Homeier, J., Leuschner, C., Mosbrugger, V., Reusch, T., Schäffer, A., Scherer-Lorenzen, M., and Tockner, K.

Abstract

Wissenschaftlerinnen und Wissenschaftler aus verschiedenen Disziplinen der Biodiversität, Ökologie, Ökonomie, Anthropologie und integrierten Landsystem-Forschung haben sich mit Fragen der globalen Krise der biologischen Vielfalt befasst. In dem daraus resultierenden Diskussionspapier „Globale Biodiversität in der Krise - Was können Deutschland und die EU dagegen tun?“ und in dem dazugehörenden Dokumentationsband zeigen die Autorinnen und Autoren auf, wie Deutschland und Europa reagieren sollten, um das gemeinsame Ziel zu erreichen, den Verlust an Biodiversität zu stoppen.Die Vielfalt von Pflanzen und Tieren ist eine unserer wichtigsten Lebensgrundlagen. Teil der Evolution war und ist immer auch das Aussterben und die Neuentstehung von Arten. In den letzten Jahrzehnten ist jedoch ein in der Geschichte der Erde bisher nie erreichtes Massenaussterben von Pflanzen- und Tierarten zu beobachten. Der Einfluss des Menschen auf alle Bereiche unserer Umwelt hat so nicht nur zu Klimawandel geführt, sondern auch dazu, dass ein großer Teil der biologischen Vielfalt unwiederbringlich verloren gegangen ist. Was dies für das langfristige Überleben der Menschheit bedeutet, ist aktuell kaum abschätzbar. Wichtig ist jedoch, dass sowohl der Schutz des Klimas als auch der Schutz der Biodiversität untrennbar miteinander verbundene Herausforderungen für die Menschheit sind. Die Weltgemeinschaft hat bereits bei der Konvention von Rio 1992 die Dringlichkeit anerkannt, die dem Biodiversitätsschutz zukommt. In den letzten fast 30 Jahren verpflichteten sich die Vertragsstaaten zu verschiedenen Zielen, die dem Schutz der Biodiversität dienen sollen und den Verlust der Vielfalt möglichst stoppen sollten. Vieles wurde erreicht, aber der Verlust der Vielfalt geht kaum gebremst weiter. Publikationen in der Reihe „Leopoldina Diskussion“ sind Beiträge der genannten Autorinnen und Autoren. Mit den Diskussionspapieren bietet die Akademie Wissenschaftlerinnen und Wissenschaftlern die Möglichkeit, flexib

Published
2020

23. The Kobresia pygmaea ecosystem of the Tibetan highlands – Origin, functioning and degradation of the world’s largest pastoral alpine ecosystem: Kobresia pastures of Tibet

Author

Miehe, G., Schleuss, P.-M., Seeber, E., Babel, W., Biermann, T., Braendle, M., Chen, F., Coners, H., Foken, T., Gerken, T., Graf, H.-F., Guggenberger, G., Hafner, S., Holzapfel, M., Ingrisch, J., Kuzyakov, Y., Lai, Z., Lehnert, L., Leuschner, C., Li, X., Liu, J., Liu, S., Ma, Y., Miehe, S., Mosbrugger, V., Noltie, H. J., Schmidt, J., Spielvogel, S., Unteregelsbacher, Sebastian, Wang, Y., Willinghöfer, S., Xu, X., Yang, Y., Zhang, S., Opgenoorth, L., and Wesche, K.

Subjects
Earth sciences, ddc:550
Abstract

With 450,000 km

Published
2019

33. Nutrient dynamics along a precipitation gradient in European beech forests

Author

Meier, I. C. and Leuschner, C.

Subjects
beech forests
Abstract

Precipitation as a key determinant of forest productivity influences forest ecosystems also indirectly through alteration of the nutrient status of the soil, but this interaction is not well understood. Along a steep precipitation gradient (from 970 to 520 mm yr−1 over 150 km distance), we studied the consequences of reduced precipitation for the soil and biomass nutrient pools and dynamics in 14 mature European beech (Fagus sylvatica L.) forests on uniform geological substrate. We tested the hypotheses that lowered summer precipitation (1) is associated with less acid soils and a reduced accumulation of organic matter on the forest floor, and (2) reduces nutrient supply from the soil and leads to decreasing foliar and root nutrient concentrations. Soil acidity, the amount of forest floor organic matter, and the associated organic matter N and P pools decreased to about a half from wet to dry sites; the C/P and N/P ratios, but not the C/N ratio, of forest floor organic matter decreased. Net N mineralization (and nitrification) rate and the available P and K pools in the mineral soil did not change with decreasing precipitation. Foliar P and K concentrations (beech sun leaves) increased while N remained constant, resulting in decreasing foliar N/P and N/K ratios. N resorption efficiency increased toward the dry sites. We conclude that a reduction in summer rainfall significantly reduces the soil C, N and P pools but does not result in decreasing foliar N and P contents in beech. However, more effective tree-internal N cycling and the decreasing foliar N/P ratio towards the dry stands indicate that tree growth may increasingly be limited by N and not by P with decreasing precipitation.

Published
2013

34. Elevation effects on the carbon budget of tropical mountain forests (S Ecuador): The role of the belowground compartment

Author

Leuschner, C, Moser, Gerald, Plant Ecology, and University of Göttingen - Georg-August-Universität Göttingen

Subjects
Life Sciences
Abstract

International audience; Carbon storage and sequestration in tropical mountain forests and their dependence on elevation and temperature are not well understood. In an altitudinal transect study in the South Ecuadorian Andes, we tested the hypotheses that (i) aboveground net primary production (ANPP) decreases continuously with elevation due to decreasing temperatures, whereas (ii) belowground productivity (BNPP) remains constant or even increases with elevation due to a shift from light to nutrient limitation of tree growth. In five tropical mountain forests between 1050 and 3060 m a.s.l., we investigated all major above- and belowground biomass and productivity components, and the stocks of soil organic carbon (SOC). Leaf biomass, stemwood mass and total aboveground biomass (AGB) decreased by 50 to 70%, ANPP by about 70% between 1050 and 3060 m, while stem wood production decreased 20fold. Coarse and large root biomass increased slightly, fine root biomass 4fold, while fine root production (minirhizotron study) roughly doubled between 1050 and 3060 m. The total tree biomass (above- and belowground) decreased from about 320 to 175 Mg dry mass ha-1, total NPP from ca. 13.0 to 8.2 Mg ha-1 yr-1. The belowground/aboveground ratio of biomass and productivity increased with elevation indicating a shift from light to nutrient limitation of tree growth. We propose that, with increasing elevation, an increasing nitrogen limitation combined with decreasing temperatures causes a large reduction in stand leaf area resulting in a substantial reduction of canopy carbon gain toward the alpine tree line. We conclude that the marked decrease in tree height, AGB and ANPP with elevation in these mountain forests is caused by both a belowground shift of C allocation and a reduction in C source strength, while a temperature-induced reduction in C sink strength (lowered meristematic activity) seems to be of secondary importance.

Published
2011

38. Harnessing the biodiversity value of Central and Eastern European farmland

Author

Sutcliffe, L.M.E., Batáry, P., Kormann, U., Báldi, A., Dicks, L.V., Herzon, I., Kleijn, D., Tryjanowski, P., Apostolova, I., Arlettaz, R., Aunins, A., Aviron, S., Baležentiené, L., Fischer, C., Halada, L., Hartel, T., Helm, A., Hristov, I., Jelaska, S.D., Kaligarič, M., Kamp, J., Klimek, S., Koorberg, P., Kostiuková, J., Kovács-Hostyánszki, A., Kuemmerle, T., Leuschner, C., Lindborg, R., Loos, J., Maccherini, S., Marja, R., Máthé, O., Paulini, I., Proença, V., Rey-Benayas, J., Sans, F.X., Seifert, C., Stalenga, J., Timaeus, Johannes, Török, P., van Swaay, C., Viik, E., Tscharntke, T., Sutcliffe, L.M.E., Batáry, P., Kormann, U., Báldi, A., Dicks, L.V., Herzon, I., Kleijn, D., Tryjanowski, P., Apostolova, I., Arlettaz, R., Aunins, A., Aviron, S., Baležentiené, L., Fischer, C., Halada, L., Hartel, T., Helm, A., Hristov, I., Jelaska, S.D., Kaligarič, M., Kamp, J., Klimek, S., Koorberg, P., Kostiuková, J., Kovács-Hostyánszki, A., Kuemmerle, T., Leuschner, C., Lindborg, R., Loos, J., Maccherini, S., Marja, R., Máthé, O., Paulini, I., Proença, V., Rey-Benayas, J., Sans, F.X., Seifert, C., Stalenga, J., Timaeus, Johannes, Török, P., van Swaay, C., Viik, E., and Tscharntke, T.

Abstract

A large proportion of European biodiversity today depends on habitat provided by low-intensity farming practices, yet this resource is declining as European agriculture intensifies. Within the European Union, particularly the central and eastern new member states have retained relatively large areas of species-rich farmland, but despite increased investment in nature conservation here in recent years, farmland biodiversity trends appear to be worsening. Although the high biodiversity value of Central and Eastern European farmland has long been reported, the amount of research in the international literature focused on farmland biodiversity in this region remains comparatively tiny, and measures within the EU Common Agricultural Policy are relatively poorly adapted to support it. In this opinion study, we argue that, 10 years after the accession of the first eastern EU new member states, the continued under-representation of the low-intensity farmland in Central and Eastern Europe in the international literature and EU policy is impeding the development of sound, evidence-based conservation interventions. The biodiversity benefits for Europe of existing low-intensity farmland, particularly in the central and eastern states, should be harnessed before they are lost. Instead of waiting for species-rich farmland to further decline, targeted research and monitoring to create locally appropriate conservation strategies for these habitats is needed now.

Published
2014

39. Pasture degradation modifies the water and carbon cycles of the Tibetan highlands

Author

Babel, W., Biermann, T., Coners, H., Falge, E., Seeber, E., Ingrisch, J., Schleuß, P.-M., Gerken, T., Leonbacher, J., Leipold, T., Willinghöfer, S., Schützenmeister, K., Shibistova, Olga, Becker, L., Hafner, S., Spielvogel, S., Li, X., Xu, X., Sun, Y., Zhang, L., Yang, Y., Ma, Y., Wesche, K., Graf, H.-F., Leuschner, C., Guggenberger, Georg, Kuzyakov, Y., Miehe, G., Foken, T., Babel, W., Biermann, T., Coners, H., Falge, E., Seeber, E., Ingrisch, J., Schleuß, P.-M., Gerken, T., Leonbacher, J., Leipold, T., Willinghöfer, S., Schützenmeister, K., Shibistova, Olga, Becker, L., Hafner, S., Spielvogel, S., Li, X., Xu, X., Sun, Y., Zhang, L., Yang, Y., Ma, Y., Wesche, K., Graf, H.-F., Leuschner, C., Guggenberger, Georg, Kuzyakov, Y., Miehe, G., and Foken, T.

Abstract

The Tibetan Plateau has a significant role with regard to atmospheric circulation and the monsoon in particular. Changes between a closed plant cover and open bare soil are one of the striking effects of land use degradation observed with unsustainable range management or climate change, but experiments investigating changes of surface properties and processes together with atmospheric feedbacks are rare and have not been undertaken in the world's two largest alpine ecosystems, the alpine steppe and the Kobresia pygmaea pastures of the Tibetan Plateau. We connected measurements of micro-lysimeter, chamber, 13C labelling, and eddy covariance and combined the observations with land surface and atmospheric models, adapted to the highland conditions. This allowed us to analyse how three degradation stages affect the water and carbon cycle of pastures on the landscape scale within the core region of the Kobresia pygmaea ecosystem. The study revealed that increasing degradation of the Kobresia turf affects carbon allocation and strongly reduces the carbon uptake, compromising the function of Kobresia pastures as a carbon sink. Pasture degradation leads to a shift from transpiration to evaporation while a change in the sum of evapotranspiration over a longer period cannot be confirmed. The results show an earlier onset of convection and cloud generation, likely triggered by a shift in evapotranspiration timing when dominated by evaporation. Consequently, precipitation starts earlier and clouds decrease the incoming solar radiation. In summary, the changes in surface properties by pasture degradation found on the highland have a significant influence on larger scales.

Published
2014

40. Pasture degradation modifies the water and carbon cycles of the Tibetan highlands

Author

Babel, W., primary, Biermann, T., additional, Coners, H., additional, Falge, E., additional, Seeber, E., additional, Ingrisch, J., additional, Schleuß, P.-M., additional, Gerken, T., additional, Leonbacher, J., additional, Leipold, T., additional, Willinghöfer, S., additional, Schützenmeister, K., additional, Shibistova, O., additional, Becker, L., additional, Hafner, S., additional, Spielvogel, S., additional, Li, X., additional, Xu, X., additional, Sun, Y., additional, Zhang, L., additional, Yang, Y., additional, Ma, Y., additional, Wesche, K., additional, Graf, H.-F., additional, Leuschner, C., additional, Guggenberger, G., additional, Kuzyakov, Y., additional, Miehe, G., additional, and Foken, T., additional

Published
2014
Full Text
View/download PDF

42. IDQC anisotropy map imaging for tumor tissue characterization in vivo

Author

Branca, R.T., Mouraviev, V., Kumar, C., Galiana, G., Jenista, E.R., Warren, W.S., Chen, Y.M., and Leuschner, C.

Abstract

Intermolecular double quantum coherences (iDQCs), signals that result from simultaneous transitions of two or more separated spins, are known to produce images that are highly sensitive to subvoxel structure, particularly local anisotropy. Here we demonstrate how iDQCs signal can be used to efficiently detect the anisotropy created in breast tumor tissues and prostate tumor tissues by targeted (LHRH-conjugated) superparamagnetic nanoparticles (SPIONs), thereby distinguishing the necrotic area from the surrounding tumor tissue.

Published
2009
Full Text
View/download PDF

43. Beech forests and climate change

Author

Manthey, M., Leuschner, C., Härdtle, Werner, and Knapp, Hans D.

Subjects
Ecosystems Research, Biology
Published
2008

44. Hierarchical models and functional traits

Author

van Loon, E.E., Shamoun-Baranes, J., Sierdsema, H., Bouten, W., Cramer, W., Badeck, F., Krukenberg, B., Klotz, S., Kühn, I., Schweiger, O., Böhning-Gaese, K., Schaefer, H.-C., Kissling, D., Brandl, R., Brändle, M., Fricke, R., Leuschner, C., Buschmann, H., Köckermann, B., Rose, L., and Computational Geo-Ecology (IBED, FNWI)

Abstract

Hierarchical models for animal abundance prediction are conceptually elegant. They are generally more parsimonous than non-hierarchical models derived from the same data, give relatively robust predictions and automatically provide consistent output at multiple (spatio-temporal) scales. Another attractive feature of hierarchical models for abundance prediction is the possibility to define a given hierarchical level in terms of species groups or functional traits. We explore this by applying a three-layer hierarchical model to describe the abundance of breeding birds in the Netherlands. At the highest level relative abundance is predicted with one model for the entire Netherlands and all breeding birds, at a subsequent level regional models are made for more specific groups (grassland birds, birds of prey, water birds, insectivores and a rest-group), and at the lowest level abundance is predicted for individual species at a 1 km2 grid. Results from a high-level model constrain those at a lower level. Explanatory variables at the different model hierarchies are related to functional traits. At the highest level, openness of the landscape in combination with closeness to water bodies determine bird abundancies. These habitat features relate to the cost of food collection and levels of predation. At the level of bird groups, feeding strategy, major food source and nest location are mostly related to the explanatory variables. Finally, at the species level a large diversity of explanatory variables start to play a role, the relation between these and functional traits has not been fully explored but most explanatory variables are related to vegetation structure, primary production and antropogenic influences.

Published
2006

45. Integrating space and time in animal abundance prediction

Author

van Loon, E.E., van Gasteren, J.R., Sierdsema, H., Shamoun-Baranes, J., Cramer, W., Badeck, F., Krukenberg, B., Klotz, S., Kühn, I., Schweiger, O., Böhning-Gaese, K., Schaefer, H.-C., Kissling, D., Brandl, R., Brändle, M., Fricke, R., Leuschner, C., Buschmann, H., Köckermann, B., Rose, L., and Computational Geo-Ecology (IBED, FNWI)

Abstract

Estimating animal abundance in space and time is (and will remain) a challange, even for dense observational networks like the ornithological monitoring network in the Netherlands. Accurate estimates of species abundance at large scales are important to detect trends and learn about the effects of environmental changes. We investigate the adequacy of an ensemble Kalman filter to enhance abudance estimates by using time series and survey data in combination rather than separate. Via synthetic examples it is shown that the description of a spatio-temporal process by a series of independent spatial models leads to a significant loss of information (and consequently inaccurate results). A time series analysis on spatially lumped units leads to inaccurate results in a similar way. A considerable improvement is made when a spatial or time series model is placed in a framework where both survey and time series data are assimilated with an ensemble Kalman filter (prediction errors are roughly halved). Also when noise is added to the system or the observations, the data assimilation system outperforms isolated spatial or temporal analyses. We apply this model framework to observations of Buzzard, Lapwing and Starling. The results are compared with those from separate spatial models (regression-kriging) and spatially-lumped time series models (ARMA). With data assimilation, cross-validation errors are considerably lower for Lapwing and Buzzard but not for Starling. This is explained by the relatively dynamic behaviour of Starlings which is not captured with the current observation frequency. Spatial as well as temporal estimates apear to be quite different between the different models, but consistent across the different species. The spatial models give relatively high estimates of bird abundance (60% more than the results from data assimilation for the entire Netherlands, averaged over the entire period), while time series models lead to lower estimates of bird abundancies by (35% less than the results from data assimilation). Our next research aim is to apply the data assimilation method to estimate the abundance of 60 species in the Netherlands over the past 25 years, starting from a set of spatial models (http://ecogrid.sara.nl/bambas/) and weekly counts at 6 airfields.

Published
2006

Catalog

Books, media, physical & digital resources
See catalog results