Influence of Landscape Diversity on Temporal Variability of Ecosystem Functioning in the South of Western Siberia
Author:
Pershin Dmitry12, Chernykh Dmitry23, Biryukov Roman2, Zolotov Dmitry2
Affiliation:
1. Lomonosov Moscow State University , Faculty of Geography , Leninskiye Gory 1, Moscow, 119991, Russia 2. Institute for Water and Environmental Problems, Siberian Branch, Russian Academy of Sciences , 1, Molodezhnaya St., Barnaul, 656038, Russia 3. Altai State University , 61, Lenina pr., Barnaul, 656049, Russia
Abstract
Abstract
Biodiversity increases the stability of ecosystem functioning. This is the most frequent pattern in the field of ecosystem functioning, which has been evaluated generally at the community scale. However, most management decisions are made at the landscape scale, which requires the need to confirm these relationships at this level. In the study, we analyzed the relationship between temporal variability of ecosystem functioning and two landscape diversity indices (Shannon and Pielou). We used snow water equivalent and soil moisture content as the indicators of functioning, which are closely related to the runoff formation function. The field data were collected in a small plain basin of the Kasmala river during the period from 2011 to 2017. Within four spatial scales, we have not identified significant linear relationships between the indicators of functioning and diversity indices. These results indicated the strong influence on the total variability by variation in the most widespread ecosystem types (also called idiosyncratic response). It is one of the consequences of landscape structure homogenization within the study area.
Publisher
Walter de Gruyter GmbH
Reference34 articles.
1. Aragón, R., Oesterheld, M., Irisarri, G. & Texeira M. (2011). Stability of ecosystem functioning and diversity of grasslands at the landscape scale. Landsc. Ecol., 26(7), 1011−1022. DOI: 10.1007/s10980-011-9625-z. 2. Bacaro, G., He, K.S., Spano, L.D., Cavallini, P., Foody, G.M., Wegmann, M., Porta, C., Feilhauer, H., Schmidtlein, S., Nagendra, H., Neteler, M., Ricotta, C., Delucchi, L. & Rocchini D. (2012). Calculating landscape diversity with information-theory based indices: A GRASS GIS solution. Ecological Informatics, 17, 82–93. DOI: 10.1016/j. ecoinf.2012.04.002. 3. Biryukov, R.Yu. (2013). Integration of heterogeneous spatially distributed information by means of GIS to provide the framework of landscape-hydrological maps. Mir Nauki, Kultury, Obrazovaniya, 2(39), 307−314. 4. Bukvareva, E. (2018). The optimal biodiversity – a new dimension of landscape assessment. Ecological Indicators, 94, 6–11. DOI: 10.1016/j.ecolind.2017.04.041. 5. Butchart, S.H.M., Walpole, M., Collen, B., van Strien, A., Scharlemann, J.P.W., Almond, R.E.A., Baillie, J.E.M., Bomhard, B., Brown, C., Bruno, J., Carpenter, K.E., Carr, G.M., Chanson, J., Chenery, A.M., Csirke, J., Davidson, N.C., Dentener, F., Foster, M., Galli, A., Galloway, J.N., Genovesi, P., Gregory, R.D., Hockings, M., Kapos, V., Lamarque, J.-F., Leverington, F., Loh, J., McGeoch, M.A., McRae, L., Minasyan, A., Morcillo, M.H., Oldfield, T.E.E., Pauly, D., Quader, S., Revenga, C., Sauer, J.R., Skolnik, B., Spear, D., Stanwell-Smith, D., Stuart, S.N., Symes, A., Tierney, M., Tyrrell, T.D., Vié, J.-C. & Watson R. (2010). Global biodiversity: Indicators of recent declines. Science, 328(5982), 1164–1168. DOI: 10.1126/science.1187512.
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