Disentangling effects of climate and land use on biodiversity and ecosystem services—A multi‐scale experimental design. Issue 2 (22nd November 2021)

• Record Type: Journal Article
• Authors: Redlich, Sarah; Zhang, Jie; Benjamin, Caryl; Dhillon, Maninder Singh; Englmeier, Jana; Ewald, Jörg; Fricke, Ute; Ganuza, Cristina; Haensel, Maria; Hovestadt, Thomas; Kollmann, Johannes; Koellner, Thomas; Kübert‐Flock, Carina; Kunstmann, Harald; Menzel, Annette; Moning, Christoph; Peters, Wibke; Riebl, Rebekka; Rummler, Thomas; Rojas‐Botero, Sandra; Tobisch, Cynthia; Uhler, Johannes; Uphus, Lars; Müller, Jörg; Steffan‐Dewenter, Ingolf
• Is Part Of: Methods in ecology and evolution. Volume 13:Issue 2(2022)
• Page Start: 514
• Page End: 527
• Publication Date: 2021-11-22
• Subjects: biodiversity -- climate change -- ecosystem functioning -- insect monitoring -- land use -- space‐for‐time approach -- spatial scales -- study design; Ecology -- Periodicals; Evolution -- Periodicals; 577
• DOI: 10.1111/2041-210X.13759
• Languages: English
• ISSNs: 2041-210X

Abstract

Abstract: Climate and land‐use change are key drivers of environmental degradation in the Anthropocene, but too little is known about their interactive effects on biodiversity and ecosystem services. Long‐term data on biodiversity trends are currently lacking. Furthermore, previous ecological studies have rarely considered climate and land use in a joint design, did not achieve variable independence or lost statistical power by not covering the full range of environmental gradients. Here, we introduce a multi‐scale space‐for‐time study design to disentangle effects of climate and land use on biodiversity and ecosystem services. The site selection approach coupled extensive GIS‐based exploration (i.e. using a Geographic information system) and correlation heatmaps with a crossed and nested design covering regional, landscape and local scales. Its implementation in Bavaria (Germany) resulted in a set of study plots that maximise the potential range and independence of environmental variables at different spatial scales. Stratifying the state of Bavaria into five climate zones (reference period 1981–2010) and three prevailing land‐use types, that is, near‐natural, agriculture and urban, resulted in 60 study regions (5.8 × 5.8 km quadrants) covering a mean annual temperature gradient of 5.6–9.8°C and a spatial extent of ~310 × 310 km. Within these regions, we nested 180 study plots located in contrasting local land‐use types, that is, forests, grasslands, arable land or settlement (local climate gradient 4.5–10°C). This approach achieved low correlations between climate and land use (proportional cover) at the regional and landscape scale with | r ≤ 0.33| and | r ≤ 0.29| respectively. Furthermore, using correlation heatmaps for local plot selection reduced potentially confounding relationships between landscape composition and configuration for plots located in forests, arable land and settlements. The suggested design expands upon previous research in covering a significant range of environmental gradients and including a diversity of dominant land‐use types at different scales within different climatic contexts. It allows independent assessment of the relative contribution of multi‐scale climate and land use on biodiversity and ecosystem services. Understanding potential interdependencies among global change drivers is essential to develop effective restoration and mitigation strategies against biodiversity decline, especially in expectation of future climatic changes. Importantly, this study also provides a baseline for long‐term ecological monitoring programs.