Impacts of land use changes on hydrological components and macroinvertebrate distributions in the Poyang lake area

Schmalz, Britta; Kuemmerlen, Mathias; Kiesel, Jens; Cai, Qinghua; Jähnig, Sonja C.; Fohrer, Nicola

doi:10.1002/eco.1569

Cited by 34 publications

(24 citation statements)

References 61 publications

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“…Projections were based on the 2006 land‐use map, in which existing forested areas below 600 m of elevation were converted into new land‐use categories: 50% of the forested area with a slope between 0 and 9% was converted into arable land, while the area with a slope between 9 and 19% was converted into 20% arable land and 15% tea plantations. This reduced forest cover from 70% to 53% (Schmalz et al ., ,b). These trends are comparable to published data (e.g.…”

Section: Methodsmentioning

confidence: 97%

“…The hydrological time series in daily time steps from the Tankou gauging station (Jiangxi Hydrological Bureau, 2011, unpubl. data) was used to calibrate and validate the base model (Schmalz et al ., ). Four hydrological models were built for (i) the present projection reflecting current climate and land use, (ii) the climate‐change scenario with current land use but future climate conditions, (iii) the land‐use change scenario with current climate but future land‐use conditions and (iv) the combined scenario with future conditions for both climate and land use.…”

Section: Methodsmentioning

confidence: 99%

“…The hydrological models were built using the Soil and Water Assessment Tool (SWAT; Arnold et al ., ; Schmalz et al ., ,b). For the modelling, sub‐basin outlets were defined at each sampling point on the stream network, resulting in 50 sub‐basins.…”

Section: Methodsmentioning

confidence: 99%

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An attack on two fronts: predicting how changes in land use and climate affect the distribution of stream macroinvertebrates

et al. 2015

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Summary Global environmental change entails not only climatic alterations, but also changes in land use. Freshwater ecosystems are particularly sensitive to both of these changes, and their sustainable management requires better information on likely responses. To examine the effects of climate and land use on the freshwater community, the distributions of stream macroinvertebrates of the Changjiang catchment in south‐east China were modelled. The present distributions of 72 taxa were predicted using environmental variables generated by regional climate, land‐use and hydrological models. Hydrological predictors, sensitive to both climate and land use, were the most relevant predictors in the species distribution models (SDMs), followed by land use. The stream macroinvertebrates’ distributions were then projected for the period 2021 to 2050 using three different future scenarios: (i) climate change, (ii) land‐use change and (iii) climate and land‐use change combined. Land‐use change was predicted to have the strongest negative impact on the community, with reductions in local richness (−20%), predicted diversity (−0.3%) and range size (−25%) and a general shift towards higher altitudes (+12%). The climate‐change scenario had a negative effect on predicted diversity (−0.1%) and resulted in a moderate altitudinal shift (+3%) along with increased richness (+15%) and range size (+19%). In the combined scenario, climate and land‐use changes counterbalanced each other to a certain degree, but had an overall detrimental effect. The results underscore the high relevance of land‐use change in future distribution predictions, exemplify the possible effect of interactions between land use and climate on hydrology and indicate how such responses can vary among freshwater taxa. The model also allows the detection of key environmental variables, the identification of vulnerable species and the definition of their potential distributions. This information is essential to establishing effective management and conservation strategies and gives a more comprehensive insight into the possible effects of global environmental change on freshwater ecosystems.

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Section: Methodsmentioning

confidence: 97%

Section: Methodsmentioning

confidence: 99%

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An attack on two fronts: predicting how changes in land use and climate affect the distribution of stream macroinvertebrates

et al. 2015

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“…Maloney and Weller [84] found that past land use occurring 50 years ago still influences the present day conditions of streams. Similarly, Schmalz et al [41] also found negative effects of deforestation on the streams and aquatic ecosystems within a 30-year period.…”

Section: Land-use Changementioning

confidence: 86%

Ecological Models to Infer the Quantitative Relationship between Land Use and the Aquatic Macroinvertebrate Community

Damanik-Ambarita

Everaert

Goethals

2018

Water

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Land-use changes influence the ecological water quality. In spite of this knowledge, land-use information is often missing in ecological water quality studies. Therefore, in the present research, we selected 39 peer-reviewed model-based scientific papers that study the relationship between land use and aquatic macroinvertebrates. From the selected papers, we found that certain water bodies responded more to local land use, while other water bodies were more likely to be affected by catchment land use. Hence, combined land-use information from both the local scale and the catchment scale will provide a better understanding of the impact of land-use changes on the ecological water quality. To gain this knowledge, efforts need to be taken to acquire land-use information from field observations and remote sensing or a geographic information system (GIS) data source. Furthermore, we concluded on the benefits of using models to better understand the relationship between the ecological water quality and environmental variables. Depending on the aim of the study and the nature of the data, researchers can select the most suitable model to ensure fast analysis.

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“…In general terms, the hydrological modeling procedure is similar as to that described for a different catchment in Schmalz et al (2014). Discharge for 51 subcatchment outlets at daily timesteps were extrapolated to the gridded stream network using flow accumulation (average R 2 = 0.89).…”

Section: Hydrologymentioning

confidence: 99%

Long-term monitoring data meet freshwater species distribution models: Lessons from an LTER-site

Kuemmerlen

Stoll

Sundermann

et al. 2016

Ecological Indicators

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Impacts of land use changes on hydrological components and macroinvertebrate distributions in the Poyang lake area

Cited by 34 publications

References 61 publications

An attack on two fronts: predicting how changes in land use and climate affect the distribution of stream macroinvertebrates

An attack on two fronts: predicting how changes in land use and climate affect the distribution of stream macroinvertebrates

Ecological Models to Infer the Quantitative Relationship between Land Use and the Aquatic Macroinvertebrate Community

Long-term monitoring data meet freshwater species distribution models: Lessons from an LTER-site

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