Effects of Land Use Changes on the Ecosystem Service Values of a Reclamation Farm in Northeast China

Crop potential yields in cropland are the essential reflection of the utilization of cropland resources. The changes of the quantity, quality, and spatial distribution of cropland will directly affect the crop potential yields, so it is very crucial to simulate future cropland distribution and predict crop potential yields to ensure the future food security. In the present study, the Cellular Automata (CA)-Markov model was employed to simulate land-use changes in Northeast China during 2015–2050. Then, the Global Agro-ecological Zones (GAEZ) model was used to predict maize potential yields in Northeast China in 2050, and the spatio-temporal changes of maize potential yields during 2015–2050 were explored. The results were the following. (1) The woodland and grassland decreased by 5.13 million ha and 1.74 million ha respectively in Northeast China from 2015 to 2050, which were mainly converted into unused land. Most of the dryland was converted to paddy field and built-up land. (2) In 2050, the total maize potential production and average potential yield in Northeast China were 218.09 million tonnes and 6880.59 kg/ha. Thirteen prefecture-level cities had maize potential production of more than 7 million tonnes, and 11 cities had maize potential yields of more than 8000 kg/ha. (3) During 2015–2050, the total maize potential production and average yield decreased by around 23 million tonnes and 700 kg/ha in Northeast China, respectively. (4) The maize potential production increased in 15 cities located in the plain areas over the 35 years. The potential yields increased in only nine cities, which were mainly located in the Sanjiang Plain and the southeastern regions. The results highlight the importance of coping with the future land-use changes actively, maintaining the balance of farmland occupation and compensation, improving the cropland quality, and ensuring food security in Northeast China.

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Effects of land-use changes on plant functional and taxonomic diversity along a productivity gradient in wet meadows

Journal of Vegetation Science ◽

10.1111/jvs.12012 ◽

2013 ◽

Vol 24 (5) ◽

pp. 898-909 ◽

Cited By ~ 29

Author(s):

Š. Janeček ◽

F. de Bello ◽

J. Horník ◽

M. Bartoš ◽

T. Černý ◽

...

Keyword(s):

Land Use ◽

Land Use Changes ◽

Taxonomic Diversity ◽

Wet Meadows ◽

Productivity Gradient ◽

Effects Of Land Use

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Effects of land use changes on badland erosion in clayey drainage basins, Radicofani, Central Italy

Geomorphology ◽

10.1016/j.geomorph.2012.04.016 ◽

2012 ◽

Vol 169-170 ◽

pp. 98-108 ◽

Cited By ~ 9

Author(s):

Fabio Castaldi ◽

Ugo Chiocchini

Keyword(s):

Land Use ◽

Land Use Changes ◽

Central Italy ◽

Drainage Basins ◽

Effects Of Land Use

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Quantifying and mapping land use changes and regulating ecosystem service potentials in a data-scarce peri-urban region in Kenya

Ecosystems and People ◽

10.1080/21513732.2018.1529708 ◽

2018 ◽

Vol 15 (1) ◽

pp. 11-32 ◽

Cited By ~ 8

Author(s):

Peter Waweru Wangai ◽

Benjamin Burkhard ◽

Felix Müller

Keyword(s):

Land Use ◽

Ecosystem Service ◽

Land Use Changes ◽

Urban Region

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Suitable Land-Use and Land-Cover Allocation Scenarios to Minimize Sediment and Nutrient Loads into Kwan Phayao, Upper Ing Watershed, Thailand

Applied Sciences ◽

10.3390/app112110430 ◽

2021 ◽

Vol 11 (21) ◽

pp. 10430

Author(s):

Jiraporn Kulsoontornrat ◽

Suwit Ongsomwang

Keyword(s):

Land Use ◽

Ecosystem Service ◽

Land Use Changes ◽

Nutrient Export ◽

Nutrient Loads ◽

Landsat Images ◽

Svm Algorithm ◽

Crucial Information ◽

S Model

Human activity and land-use changes have affected the water quality of Kwan Phayao, Upper Ing watershed, due to the associated high sediment load and eutrophication. This study aims to identify suitable LULC allocation scenarios for minimizing sediment and nutrient export into the lake. For this purpose, the LULC status and change were first assessed, based on classified LULC data in 2009 and 2019 from Landsat images, using the SVM algorithm. Later, the land requirements of three scenarios between 2020 and 2029 were estimated, based on their characteristics, and applied to predict LULC change using the CLUE-S model. Then, actual LULC data in 2019 and predicted LULC data under three scenarios between 2020 and 2029 were used to estimate sediment and nutrient export using the SDR and NDR models. Finally, the ecosystem service change index identified a suitable LULC allocation for minimizing sediment or/and nutrient export. According to the results, LULC status and change indicated perennial trees and orchards, para rubber, and rangeland increased, while forest land and paddy fields decreased. The land requirements of the three scenarios provided reasonable results, as expected, particularly Scenario II, which adopts linear programming to calculate the land requirements for maximizing ecosystem service values. For sediment and nutrient export estimation under the predicted LULC for the three scenarios, Scenario II led to the lowest yield of sediment and nutrient exports, and provided the lowest average ESCI value among the three scenarios. Thus, the LULC allocation under Scenario II was chosen as suitable for minimizing sediment or/and nutrient export into Kwan Phayao. These results can serve as crucial information to minimize sediment and nutrient loads for land-use planners, land managers, and decision makers.

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Effects of land use changes and conservation measures on land degradation under a Mediterranean climate

Solid Earth Discussions ◽

10.5194/sed-7-115-2015 ◽

2015 ◽

Vol 7 (1) ◽

pp. 115-145 ◽

Cited By ~ 4

Author(s):

Y. Mohawesh ◽

A. Taimeh ◽

F. Ziadat

Keyword(s):

Land Use ◽

Organic Carbon ◽

Soil Organic Carbon ◽

Land Degradation ◽

Soil Conservation ◽

Land Use Changes ◽

Conservation Measures ◽

Stone Walls ◽

Effects Of Land Use ◽

Soil Conservation Measures

Abstract. Land degradation resulting from improper land use and management is a major cause of declined productivity in the arid environment. The objectives of this study were to examine the effects of a sequence of land use changes, soil conservation measures, and the time since their implementation on the degradation of selected soil properties. The climate for the selected 105 km2 watershed varies from semi-arid sub-tropical to Mediterranean sub-humid. Land use changes were detected using aerial photographs acquired in 1953, 1978, and 2008. A total of 218 samples were collected from 40 sites in three different rainfall zones to represent different land use changes and different lengths of time since the construction of stone walls. Analyses of variance were used to test the differences between the sequences of land use changes (interchangeable sequences of forest, orchards, field crops, and range), the time since the implementation of soil conservation measures, and rainfall on the thickness of the A-horizon, soil organic carbon content, and texture. Soil organic carbon reacts actively with different combinations and sequences of land use changes. The time since stone walls were constructed showed significant impacts on soil organic carbon and the thickness of the surface horizon. The effects of changing the land use and whether the changes were associated with the construction of stone walls, varied according to the annual rainfall. The results help in understanding the effects of land use changes on land degradation processes and carbon sequestration potential and in formulating sound soil conservation plans.

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