Impacts of future climate change and different management scenarios on water-related ecosystem services: A case study in the Jianghuai ecological economic Zone, China

Guo, Ming; Ma, Shuai; Wang, Liangjie; Lin, Chunye

doi:10.1016/j.ecolind.2021.107732

Cited by 62 publications

(17 citation statements)

References 50 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In general, forest land showed the highest total water yield across the four periods of 1974, 1989, 2003, and 2015, accounting for approximately 59.69%, 61.80%, 58.21% and 55.75% of the water yield of all vegetation types, respectively. The results of this study showed that LULC is an important factor regulating changes in the water yield ecosystem service function, similar to the conclusion of Guo et al (2021) .…”

Section: Discussionsupporting

confidence: 87%

Using InVEST to evaluate water yield services in Shangri-La, Northwestern Yunnan, China

Sun²,

Wang

et al. 2022

PeerJ

View full text Add to dashboard Cite

Water yield is an ecosystem service that is vital to not only human life, but also sustainable development of the social economy and ecosystem. This study used annual average precipitation, potential evapotranspiration, plant available water content, soil depth, biophysical parameters, Zhang parameter, and land use/land cover (LULC) as input data for the Integrated Valuation of Ecosystem Service Tradeoffs (InVEST) model to estimate the water yield of Shangri-La City from 1974 to 2015. The spatiotemporal variations and associated factors (precipitation, evapotranspiration, LULC, and topographic factors) in water yield ecosystem services were then analyzed. The result showed that: (1) The water yield of Shangri-La City decreases from north and south to the center and showed a temporal trend from 1974 to 2015 of an initial decrease followed by an increase. Areas of higher average water yield were mainly in Hutiaoxia Town, Jinjiang Town, and Shangjiang Township. (2) Areas of importance for water yield in the study area which need to be assigned priority protection were mainly concentrated in the west of Jiantang Town, in central Xiaozhongdian Town, in central Gezan Township, in northwestern Dongwang Township, and in Hutiaoxia Town. (3) Water yield was affected by precipitation, evapotranspiration, vegetation type, and topographic factors. Water yield was positively and negatively correlated with precipitation and potential evapotranspiration, respectively. The average water yield of shrubs exceeded that of meadows and forests. Terrain factors indirectly affected the ecosystem service functions of water yield by affecting precipitation and vegetation types. The model used in this study can provide references for relevant research in similar climatic conditions.

show abstract

Section: Discussionsupporting

confidence: 87%

Using InVEST to evaluate water yield services in Shangri-La, Northwestern Yunnan, China

Sun²,

Wang

et al. 2022

PeerJ

View full text Add to dashboard Cite

show abstract

“…Forestland increased from 1788.68 to 1820.98 km 2 (Table 3), and the evapotranspiration levels are higher in forestland than for the other LULC types, so WY decreased with forestland expansion under consistent climatic conditions (Chisholm, 2010; Zheng et al, 2021). Vegetation growth would also increase water consumption, which would lead to a decrease in WY (Guo et al, 2021; Ma, Qiao, Wang, & Zhang, 2021). Due to agricultural fertilization and farming, cropland has become the major source of pollutants, threats to habitats, and the key areas of soil erosion (Fang et al, 2020).…”

Section: Discussionmentioning

confidence: 99%

“…The nutrient delivery ratio module of the InVEST model maps the nutrient transport into streams due to runoff (Guo et al, 2021; Wu et al, 2021). The higher the nitrogen export (NE), the lower the WP.…”

Section: Methodsmentioning

confidence: 99%

Spatial heterogeneity of ecosystem services in response to landscape patterns under the Grain for Green Program: A case‐study in Kaihua County, China

Wang

et al. 2022

Land Degrad Dev

Self Cite

View full text Add to dashboard Cite

Understanding the impact of landscape patterns on ecosystem services (ES) is crucial for the design and management of ecological restoration programs. However, the impacts of landscape configuration on ES from a geospatial perspective have not been studied sufficiently. This study analyzed the landscape composition and pattern changes and quantified the changes in water yield, carbon storage, soil retention, water purification, and habitat quality under the Grain for Green Program (GFGP) from 2000 to 2020 in Kaihua County. The responses of ES to landscape patterns

show abstract

“…After calculating the necessary factors ( Fig 2 ), all of them at 100 m, we applied the RUSLE equation, which is described as where A is mean annual soil loss, R is the R-factor, K is the K-factor, L is the L-factor, S is the S-factor, C is the C-factor and P is the support practice factor (P-factor). The predicted mean annual soil loss is expressed in ton*ha -1 *yr -1 , but P is rarely included in the calculation as it requires extensive knowledge of the study area management actions [ 84 ] and it is not straightforward to predict in the context of climate change [ 85 ].…”

Section: Methodsmentioning

confidence: 99%

Impacts of soil erosion and climate change on the built heritage of the Pambamarca Fortress Complex in northern Ecuador

et al. 2023

View full text Add to dashboard Cite

The Pambamarca fortress complex in northern Ecuador is a cultural and built heritage with 18 prehispanic fortresses known as Pucaras. They are mostly located on the ridge of the Pambamarca volcano, which is severely affected by erosion. In this research, we implemented a multiscale methodology to identify sheet, rill and gully erosion in the context of climate change for the prehistoric sites. In a first phase, we coupled the Revised Universal Soil Loss Equation (RUSLE) and four CMIP6 climate models to evaluate and prioritize which Pucaras are prone to sheet and rill erosion, after comparing historical and future climate scenarios. Then, we conducted field visits to collect geophotos and soil samples for validation purposes, as well as drone flight campaigns to derive high resolution digital elevation models and identify gully erosion with the stream power index. Our erosion maps achieved an overall accuracy of 0.75 when compared with geophotos and correlated positively with soil samples sand fraction. The Pucaras evaluated with the historical climate scenario obtained erosion rates ranging between 0 and 20 ton*ha-1*yr-1. These rates also varied from -15.7% to 39.1% for four future climate change models that reported extreme conditions. In addition, after identifying and overflying six Pucaras that showed the highest erosion rates in the future climate models, we mapped their gully-prone areas that represented between 0.9% and 3.2% of their analyzed areas. The proposed methodology allowed us to observe how the design of the Pucaras and their concentric terraces have managed to reduce gully erosion, but also to notice the pressures they suffer due to their susceptibility to erosion, anthropic pressures and climate change. To address this, we suggest management strategies to guide the protection of this cultural and built heritage landscapes.

show abstract

Impacts of future climate change and different management scenarios on water-related ecosystem services: A case study in the Jianghuai ecological economic Zone, China

Cited by 62 publications

References 50 publications

Using InVEST to evaluate water yield services in Shangri-La, Northwestern Yunnan, China

Using InVEST to evaluate water yield services in Shangri-La, Northwestern Yunnan, China

Spatial heterogeneity of ecosystem services in response to landscape patterns under the Grain for Green Program: A case‐study in Kaihua County, China

Impacts of soil erosion and climate change on the built heritage of the Pambamarca Fortress Complex in northern Ecuador

Contact Info

Product

Resources

About