Investigating the effects of land use change on ecosystem services: the Basilicata region (Italy) case study

Author(s):  
Angela Pilogallo ◽  
Lucia Saganeiti ◽  
Francesco Scorza ◽  
Beniamino Murgante

<p>By the end of this century effects of land-use change on ecosystem services are expected to be more significant than other world-wide transformation processes such as climate change, altering atmospheric concentrations of greenhouse gases or distribution of invasive alien species.</p><p>In recent years, scientific literature has been embellished with numerous land-use models that aim to explore the behaviour of land use systems under changing environmental conditions and different territorial transformations explaining the different dynamics that contribute to it, and to formulate scenario analyses to be followed up by development strategies.</p><p>In addition, it should be noted that a dimension of the nexus between planning and sustainability that is important but still too little explored, is the assessment of territorial changes and development dynamics through the alterations analysis induced on processes, functions and complex systems.</p><p>While land-use models can help investigate the effects of a combination of drivers at different scales, ecosystem services approach can help in better understand the trade-offs between different development scenarios making explicit the relations that every variation induces within the relationship between man and territory  and among different environmental components.</p><p>In this framework is set the present work that aims to integrate scenario analysis of the Basilicata region (Italy) development with assessments of alterations induced on the capacity to deliver ecosystem services. Although this region is very poorly populated and characterised by low settlement density, it is not immune to the global phenomenon of land take associated with high territorial fragmentation.</p><p>The building stock increase due to real development dynamics and relative demographic increase typical of the post-war period, was followed by a further built up environment growth - in contrast with the demographic trend - and a significant land take due to massive construction of renewable energy production plants.</p><p>Changing model have been applied to identify and classify the driving forces for land use changes and predict future development scenarios.</p><p>In order to contribute to the development of decision support systems, scenarios resulting from the implementation of different policies are analyzed with the ecosystem services approach.</p>

Forests ◽  
2020 ◽  
Vol 11 (5) ◽  
pp. 584 ◽  
Author(s):  
Zuzheng Li ◽  
Xiaoqin Cheng ◽  
Hairong Han

Ecosystem services (ES), defined as benefits provided by the ecosystem to society, are essential to human well-being. However, it remains unclear how they will be affected by land-use changes due to lack of knowledge and data gaps. Therefore, understanding the response mechanism of ecosystem services to land-use change is critical for developing systematic and sound land planning. In this study, we aimed to explore the impacts of land-use change on the three ecosystem services, carbon storage (CS), flood regulation (FR), and soil conservation (SC), in the ecological conservation area of Beijing, China. We first projected land-use changes from 2015 to 2030, under three scenarios, i.e., Business as Usual (BAU), Ecological Land Protection (ELP), and Rapid Economic Development (RED), by interactively integrating the Markov model (Quantitative simulation) with the GeoSOS-FLUS model (Spatial arrangement), and then quantified the three ecosystem services by using a spatially explicit InVEST model. The results showed that built-up land would have the most remarkable growth during 2015–2030 under the RED scenario (2.52% increase) at the expense of cultivated and water body, while forest land is predicted to increase by 152.38 km2 (1.36% increase) under the ELP scenario. The ELP scenario would have the highest amount of carbon storage, flood regulation, and soil conservation, due to the strict protection policy on ecological land. The RED scenario, in which a certain amount of cultivated land, water body, and forest land is converted to built-up land, promotes soil conservation but triggers greater loss of carbon storage and flood regulation capacity. The conversion between land-use types will affect trade-offs and synergies among ecosystem services, in which carbon storage would show significant positive correlation with soil conservation through the period of 2015 to 2030, under all scenarios. Together, our results provide a quantitative scientific report that policymakers and land managers can use to identify and prioritize the best practices to sustain ecosystem services, by balancing the trade-offs among services.


2021 ◽  
Vol 440 ◽  
pp. 109358
Author(s):  
Susan H. Yee ◽  
E. Paulukonis ◽  
C. Simmons ◽  
M. Russell ◽  
R. Fulford ◽  
...  

2013 ◽  
Vol 33 (3) ◽  
pp. 726-736 ◽  
Author(s):  
李屹峰 LI Yifeng ◽  
罗跃初 LUO Yuechu ◽  
刘纲 LIU Gang ◽  
欧阳志云 OUYANG Zhiyun ◽  
郑华 ZHENG Hua

2018 ◽  
Vol 28 (5) ◽  
pp. 894-906 ◽  
Author(s):  
Xiaopeng Liu ◽  
Xiao Chen ◽  
Kaiping Hua ◽  
Yajuan Wang ◽  
Peng Wang ◽  
...  

2007 ◽  
Vol 10 (4) ◽  
pp. 299-314 ◽  
Author(s):  
Claire Kremen ◽  
Neal M. Williams ◽  
Marcelo A. Aizen ◽  
Barbara Gemmill-Herren ◽  
Gretchen LeBuhn ◽  
...  

2021 ◽  
Vol 13 (19) ◽  
pp. 3966
Author(s):  
Baoan Hu ◽  
Zhijie Zhang ◽  
Hairong Han ◽  
Zuzheng Li ◽  
Xiaoqin Cheng ◽  
...  

Ecological engineering is a widely used strategy to address environmental degradation and enhance human well-being. A quantitative assessment of the impacts of ecological engineering on ecosystem services (ESs) is a prerequisite for designing inclusive and sustainable engineering programs. In order to strengthen national ecological security, the Chinese government has implemented the world’s largest ecological project since 1999, the Grain for Green Program (GFGP). We used a professional model to evaluate the key ESs in Lvliang City. Scenario analysis was used to quantify the contribution of the GFGP to changes in ESs and the impacts of trade-offs/synergy. We used spatial regression to identify the main drivers of ES trade-offs. We found that: (1) From 2000 to 2018, the contribution rates of the GFGP to changes in carbon storage (CS), habitat quality (HQ), water yield (WY), and soil conservation (SC) were 140.92%, 155.59%, −454.48%, and 92.96%, respectively. GFGP compensated for the negative impacts of external environmental pressure on CS and HQ, and significantly improved CS, HQ, and SC, but at the expense of WY. (2) The GFGP promotes the synergistic development of CS, HQ, and SC, and also intensifies the trade-off relationships between WY and CS, WY and HQ, and WY and SC. (3) Land use change and urbanization are significantly positively correlated with the WY–CS, WY–HQ, and WY–SC trade-offs, while increases in NDVI helped alleviate these trade-offs. (4) Geographically weighted regression explained 90.8%, 94.2%, and 88.2% of the WY–CS, WY–HQ, and WY–SC trade-offs, respectively. We suggest that the ESs’ benefits from the GFGP can be maximized by controlling the intensity of land use change, optimizing the development of urbanization, and improving the effectiveness of afforestation. This general method of quantifying the impact of ecological engineering on ESs can act as a reference for future ecological restoration plans and decision-making in China and across the world.


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