Systematically designating conservation areas for protecting habitat quality and multiple ecosystem services

Lin, Yu‐Pin; Lin, Wei-Chih; Wang, Yung-Chieh; Lien, Wan‐Ching; Huang, Tao; Hsu, Chih-Chen; Schmeller, Dirk S.; Crossman, Neville D.

doi:10.1016/j.envsoft.2017.01.003

Cited by 102 publications

(56 citation statements)

References 38 publications

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“…In this study, we used the InVEST model (3.6.0, [50]) to evaluate the HQ of the urban area in 2000. This approach is particularly suitable for studying HQ at a large scale and has been proven to be effective in characterizing biodiversity [60][61][62][63]. HQ strongly depends on the suitability of each land use and land cover (LULC) class to provide habitat for wildlife.…”

Section: Habitat Quality Assessment By the Invest Modelmentioning

confidence: 99%

Biodiversity constraint indicator establishment and its optimization for urban growth: framework and application

Sun

et al. 2019

Environ. Res. Lett.

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Urbanization causes tremendous pressure on biodiversity and ecosystems at the global scale. China is among the countries undergoing the fastest urban expansion. For a long time, ecological environment protection has not been a priority in China's urban planning process. Current urban growth optimization research has some limitations regarding the selection of more scientific ecological constraint indicators and the interaction between urban expansion and ecological factors. This paper at first aimed to establish a reasonable comprehensive biodiversity constraint indicator based on the indicators of net primary productivity, habitat connectivity and habitat quality, and then conducted a case study in Beijing and compared biodiversity loss and urban growth patterns under different developing situations. The integrated valuation of ecosystem services and trade-offs model and GISrelated methods were used to obtain biodiversity and ecological spatial distribution layers. Then an ecological priority-oriented urban growth simulation method was proposed to search for minimum biodiversity loss. The results showed that the important biodiversity security areas were mostly distributed in the western part of the study area and that the ecological degradation in 2000 had a radial pattern and was well in line with the urban construction and ring road distribution patterns. Meanwhile, biodiversity loss with the biodiversity constraint was much less than actual urban growth in 2000-2010. Under the guidance of ecological optimization, urban growth in the research results reflects decentralized and multi-center spatial development characteristics. This type of urban growth not only provides a new model for breaking the inertia of urban sprawl but also proposes 'biodiversity security' as an applicable regulatory tool for urban planning and space governance reforming.

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Section: Habitat Quality Assessment By the Invest Modelmentioning

confidence: 99%

Biodiversity constraint indicator establishment and its optimization for urban growth: framework and application

Sun

et al. 2019

Environ. Res. Lett.

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“…; Lin et al. ). As a result, conservation projects may protect supply in places where demand is low or absent, thus capturing benefits inefficiently.…”

Section: Introductionmentioning

confidence: 98%

“…Supply is sometimes used as a proxy for benefit because the data and models to quantify supply are more readily available (Egoh et al 2009;Maes et al 2012;Lin et al 2017). As a result, conservation projects may protect supply in places where demand is low or absent, thus capturing benefits inefficiently.…”

Section: Introductionmentioning

confidence: 99%

Effects of human demand on conservation planning for biodiversity and ecosystem services

Watson

Galford

Sonter

et al. 2019

Conservation Biology

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Safeguarding ecosystem services and biodiversity is critical to achieving sustainable development. To date, ecosystem services quantification has focused on the biophysical supply of services with less emphasis on human beneficiaries (i.e., demand). Only when both occur do ecosystems benefit people, but demand may shift ecosystem service priorities toward human‐dominated landscapes that support less biodiversity. We quantified how accounting for demand affects the efficiency of conservation in capturing both human benefits and biodiversity by comparing conservation priorities identified with and without accounting for demand. We mapped supply and benefit for 3 ecosystem services (flood mitigation, crop pollination, and nature‐based recreation) by adapting existing ecosystem service models to include and exclude factors representing human demand. We then identified conservation priorities for each with the conservation planning program Marxan. Particularly for flood mitigation and crop pollination, supply served as a poor proxy for benefit because demand changed the spatial distribution of ecosystem service provision. Including demand when jointly targeting biodiversity and ecosystem service increased the efficiency of conservation efforts targeting ecosystem services without reducing biodiversity outcomes. Our results highlight the importance of incorporating demand when quantifying ecosystem services for conservation planning.

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“…In our model, farmland, roads, and built-up LULC were considered threats, whereas forest, riparian, and grassland LULC were considered habitats. For all of the above parameter values and model settings, such as relative threat levels, the distance decay relationship between threats etc., we used values from Chiang et al [17] and Lin et al [18].…”

Section: Ecological Service Model (Invest)mentioning

confidence: 99%

“…ES has been quantified by various models such as the Integrated Valuation of Environmental Services and Tradeoffs (InVEST) model which generates spatially explicit estimations of ES and renders natural capital maps at the pixel level [14][15][16][17][18]. Although many studies have explored support, supply, regulating, and cultural ES, the cultural aspects of ES, which reflect the emotional and spiritual attachment of a society to its environment, are relatively scarce.…”

Section: Introductionmentioning

confidence: 99%

Integrating Social Values and Ecosystem Services in Systematic Conservation Planning: A Case Study in Datuan Watershed

Lin

Li³

et al. 2017

Sustainability

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Systematic conservation planning (SCP) deals with a delicate interplay of competing interests and has far-reaching impacts for all stakeholders and systems involved. While SCP has traditionally attempted to conserve ecosystem services that benefit ecological systems, public perceptions of conservation initiatives influence their ultimate feasibility and sustainability. In an attempt to balance ecological integrity, social utility, and urban development, this study develops a framework that applies four popular models to represent these competing factors, including two ecosystem services models-InVEST (Integrated Valuation of Environmental Services and Tradeoffs) for biophysical services (BpS), and SolVES (Social Values for Ecosystem Services) for social values (SV); a land use and land cover (LULC) suitability model; and Zonation for delimiting high priority areas. We also analyze a number of conservation scenarios that consider varying levels of urban development. While BpS are distributed with considerable spatial variability, SV spatially overlap. Approximately 6% of the area was identified as having both high BpS and SV, whereas a further 24.5% of the area was identified as either high BpS low SV or vise-versa. Urban development scenarios affected the conservation area selection drastically. These results indicate tradeoffs and potential synergies between development, SV, and BpS. Our findings suggest that the information provided by the proposed framework can assist in finding solutions to social-ecological planning complexities that serve multiple stakeholders.

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Systematically designating conservation areas for protecting habitat quality and multiple ecosystem services

Cited by 102 publications

References 38 publications

Biodiversity constraint indicator establishment and its optimization for urban growth: framework and application

Biodiversity constraint indicator establishment and its optimization for urban growth: framework and application

Effects of human demand on conservation planning for biodiversity and ecosystem services

Integrating Social Values and Ecosystem Services in Systematic Conservation Planning: A Case Study in Datuan Watershed

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