Spatial assessment of habitat conservation status in a Macaronesian island based on the InVEST model: a case study of Pico Island (Azores, Portugal)

Moreira, Miguel; Fonseca, Catarina; Vergílio, Marta; Calado, Helena; Gil, Artur

doi:10.1016/j.landusepol.2018.07.015

Cited by 118 publications

(64 citation statements)

References 27 publications

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“…Yan et al [ 18 ] used the logistic multiple regression model to analyze the driving forces of the changes in habitat quality in the northeast area of Beijing. Moreira et al [ 38 ] used the InVEST model to assess the habitat conservation status in Pico Island from the perspective of land-use. Sallustio et al [ 43 ] assessed habitat quality and degradation based on a high-resolution land-use map of Italy.…”

Section: Discussionmentioning

confidence: 99%

“…The InVEST model, which is used to evaluate ecosystem function [ 26 ], was jointly developed by Stanford University, The Nature Conservancy, and the World Wildlife Fund. The habitat quality module in the InVEST model calculates the habitat quality index by combining landscape type sensitivity and external threat intensity, and evaluates biodiversity service functions based on the index: the greater the index, the higher the habitat quality and the greater the biodiversity [ 26 , 38 ]. The equation is as follows: where Q xj is the habitat quality of grid x in land-use type j , D xj is the threat level of grid x in land-use type j , H j is the habitat suitability of land-use type j , k is a half-saturation constant that is usually half of the maximum value of D xj , and z is the normalisation constant, which is usually 2.5.…”

Section: Methodsmentioning

confidence: 99%

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Dynamic evolution and scenario simulation of habitat quality under the impact of land-use change in the Huaihe River Economic Belt, China

Tang

Wang

et al. 2021

PLoS ONE

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Habitat quality is an important indicator for evaluating the biodiversity provided by ecosystem. Estimating and scenario-simulating the dynamic evolution and future development trends of habitat quality under the influence of land-use change is significant in regional biodiversity conservation, formulating land-use planning, and maintaining the ecological environmental sustainability. In this article, we included the Huaihe River Economic Belt as the area of study because of its vital location in China and applied the CA–Markov and InVEST models to analyze the spatio-temporal evolution of habitat quality and to simulate the future development trends of habitat quality under three different land-use scenarios: fast urban growth scenario, farmland conservation-oriented scenario, and ecological conservation-oriented scenario. The results showed that the land-use change in the Huaihe River Economic Belt was mostly represented by the continuous increase of the built-up area, whereas other land types all declined in area from 1995 to 2015. The land-use changes under these three abovementioned alternative future scenarios with different development orientations were considerably different. The built-up area has been shown to expand rapidly to occupy other land types on a large scale under the fast urban growth scenario. Urban land increased slightly and a large area of rural residential land would be converted into farmland under the farmland conservation-oriented scenario. The built-up area and farmland might decrease while woodland, grassland and water would increase in extent of areas under the ecological conservation-oriented scenario. Habitat quality has been shown to be generally poor, continuing to decline from 1995 to 2015, while its spatial distribution was higher in the southwest and northeast areas and lower in the central regions. The future habitat quality would display a downward trend under the fast urban growth and farmland conservation-oriented scenarios with a further deterioration of the ecological environment, while the ecological conservation-oriented scenario predicted the converse trend that the ecological environment would be improved productively. This study may be useful for understanding the impact of land-use dynamics on biodiversity. The research results can provide a scientific basis for the decision-makers to formulate biodiversity conservation and land management policies.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Dynamic evolution and scenario simulation of habitat quality under the impact of land-use change in the Huaihe River Economic Belt, China

Tang

Wang

et al. 2021

PLoS ONE

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“…The global importance of the Galapagos Islands for biodiversity conservation and the high sensitivity of tropical island systems to drivers of change highlights the need to identify priority areas where conservation and management actions can be implemented to mitigate human impacts while increasing ecosystem resilience (Moreira et al 2018;Cuesta et al 2017;Fajardo et al 2014;Kareiva et al 2011). In this review, we discuss the main drivers of change that threaten the unique marine and terrestrial ecosystems of Galapagos.…”

Section: Communicated By Tony Weirmentioning

confidence: 99%

Oceanic islands and climate: using a multi-criteria model of drivers of change to select key conservation areas in Galapagos

et al. 2021

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The unique marine and terrestrial ecosystems of the Galapagos Islands are highly vulnerable to human-based drivers of change, including the introduction of invasive species, unsustainable tourism, illegal fishing, overexploitation of ecosystem services, and climate change. These drivers can interact with climate-based drivers such as El Niño-Southern Oscillation (ENSO) at multiple temporal and spatial scales, exacerbating their negative impacts on already fragile ecosystems and the socioeconomic system of the Archipelago. In this review, we performed a literature review based on published literature from 1945 to 2020 and local and global climate databases to analyze drivers of change in the Galapagos. We developed and applied a spatial impact assessment model to identify high-ecological value areas with high sensitivity and exposure scores to environmental change drivers. We identified 13 priority HEVA that encompass ca. 23% (14,715 km2) of the Galapagos Archipelago, distributed in nearly 3% of the Galapagos Marine Reserve and 20% Galapagos National Park. Current and future impacts are likely to concentrate on the inhabited islands’ highlands, whereas marine impacts concentrate along most of the Galapagos Islands’ shorelines. These results are important for guiding the design and implementation of adaptation measures aimed at increasing ecosystem resilience and human adaptive capacity in the face of global environmental change. Overall, these results will be valuable in their application for preserving Galapagos biota, securing the provision of vital ecosystem services for resident human populations, and sustaining the nature-based tourism industry.

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“…Ecological environment quality evaluation, which refers to the evaluation of the ecological environment quality and its influence relationship based on a series of the selected indicator systems and evaluation criteria [10]. At the present, there are two main methods of researches: the first method is based on the various model evaluation methods, such as ecological environment suitability index model (HSI) [11][12], SolVES model [13], and MaxEnt model [14][15], etc, the ecological environment quality module in the InVEST model is the most widely used and mature ecological environment quality evaluation method in the present [16][17][18][19]. In recent years, a large number of related researches which based on the model have been done to evaluate and analyze the ecological environment quality in different regions.…”

Section: Introductionmentioning

confidence: 99%

Study on Evaluation of Ecological Environment Quality and Temporal-Spatial Evolution of Danjiang River Basin (Henan Section)

Wang¹,

Si²,

Wang³

2021

Pol. J. Environ. Stud.

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The Danjiang River Basin (Henan Section) is the water source of the Middle Route of the South-to-North Water Transfer Project. Its ecological environment quality has received increasing attention. In this study, on the basis of the ecological environment of the study area, we constructed the evaluation index system from four aspects: ecological basis, ecological structure, ecological stress and ecological benefits. The variable fuzzy set model was improved by using the central point triangle whitening weight function and the relative difference function. The ecological environment quality of the Danjiang River Basin (Henan Section) in the past 20 years was evaluated, and the evolution patterns and causes of ecological environment quality were analyzed by combination with land use changing. And the results showed that the area with better ecological environment quality was significantly larger than the deterioration area. The area with poorer grade was decreased from 441.22 km 2 in 1998 to 3.93 km 2 in 2017, and its proportion was correspondingly decreased from 2.23% to 0.05%. The area with the ordinary grade was decreased from 4528.79 km 2 in 1998 to 2636.47 km 2 in 2017, and its proportion was correspondingly decreased from 53.67% to 31.24%; The moderately graded area was increased from 3132.7 km 2 in 1998 to 5206.88 km 2 in 2017, and its proportion was increased from 37.12% to 61.71%; the area with good grade was increased from 319.58 km 2 in 1998 to 579.01 km 2 in 2017, the area with the excellent grade of an evaluation rating was almost unchanged. Based on the evaluation results, the spatial correlation analysis of changes in habitat quality was further carried out. The autocorrelation index was 0.5122, which indicating that the changes in ecological environment quality in the study area has a strong spatial aggregation characteristics. Combined with the change in land use changing in the present study, we found that the human activities were the major factor causing the changes in ecological environment quality in the study area. These results can provide certain theoretical basis and

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Spatial assessment of habitat conservation status in a Macaronesian island based on the InVEST model: a case study of Pico Island (Azores, Portugal)

Cited by 118 publications

References 27 publications

Dynamic evolution and scenario simulation of habitat quality under the impact of land-use change in the Huaihe River Economic Belt, China

Dynamic evolution and scenario simulation of habitat quality under the impact of land-use change in the Huaihe River Economic Belt, China

Oceanic islands and climate: using a multi-criteria model of drivers of change to select key conservation areas in Galapagos

Study on Evaluation of Ecological Environment Quality and Temporal-Spatial Evolution of Danjiang River Basin (Henan Section)

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