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Modeling Impacts of Climate Change on Giant Panda Habitat

TLDR
Long-term survival of giant pandas will require the creation of new protected areas that are likely to support suitable habitat even if the climate changes, and a major general prediction of climate change—a shift of habitats towards higher elevation and higher latitudes is supported.
Abstract
Giant pandas (Ailuropoda melanoleuca) are one of the most widely recognized endangered species globally. Habitat loss and fragmentation are the main threats, and climate change could significantly impact giant panda survival. We integrated giant panda habitat information with general climate models (GCMs) to predict future geographic distribution and fragmentation of giant panda habitat. Results support a major general prediction of climate change—a shift of habitats towards higher elevation and higher latitudes. Our models predict climate change could reduce giant panda habitat by nearly 60% over 70 years. New areas may become suitable outside the current geographic range but much of these areas is far from the current giant panda range and only 15% fall within the current protected area system. Long-term survival of giant pandas will require the creation of new protected areas that are likely to support suitable habitat even if the climate changes.

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Assessing species' vulnerability to climate change

TL;DR: In this article, three main approaches used to derive these currencies (correlative, mechanistic and trait-based) and their associated data requirements, spatial and temporal scales of application and modelling methods are described.
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Climate change vulnerability assessment of species

TL;DR: The authors provide an overview of the rapidly developing field of climate change vulnerability assessment (CCVA) and describe key concepts, terms, steps and considerations, and stress the importance of identifying the full range of pressures, impacts and their associated mechanisms that species face and using this as a basis for selecting the appropriate assessment approaches for quantifying vulnerability.
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Progress in the ecology and conservation of giant pandas.

TL;DR: The major advancements in ecological science for the giant panda are reviewed, examining how these advancements have contributed to panda conservation and form a foundation for increasing the application of adaptive management approaches.
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Predicting the current and future cultivation regions of Carthamus tinctorius L. using MaxEnt model under climate change in China

TL;DR: Wang et al. as discussed by the authors modelled current and future distribution of C. tinctorius based on three representative concentration pathways (RCP2.6, RCP4.5 and RCP8.5) for the year 2050s and 2070s using a maximum entropy model (MaxEnt) and geographical information system (GIS).
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Integrating priority areas and ecological corridors into national network for conservation planning in China

TL;DR: This paper made an integrative analysis for the identification of conservation priority areas and least-cost ecological corridors (ECs) in China in order to promote a more representative, connected and efficient ecological PA network for this country.
References
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Climate change 2007: the physical science basis

TL;DR: The first volume of the IPCC's Fourth Assessment Report as mentioned in this paper was published in 2007 and covers several topics including the extensive range of observations now available for the atmosphere and surface, changes in sea level, assesses the paleoclimatic perspective, climate change causes both natural and anthropogenic, and climate models for projections of global climate.
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Very high resolution interpolated climate surfaces for global land areas.

TL;DR: In this paper, the authors developed interpolated climate surfaces for global land areas (excluding Antarctica) at a spatial resolution of 30 arc s (often referred to as 1-km spatial resolution).
Book Chapter

Summary for Policymakers

TL;DR: The Global Energy Assessment (GEA) as mentioned in this paper identifies strategies that could help resolve the multiple challenges simultaneously and bring multiple benefits, including sustainable economic and social development, poverty eradication, adequate food production and food security, health for all, climate protection, conservation of ecosystems, and security.
Journal ArticleDOI

Climate change 2001: the scientific basis

TL;DR: In this article, the authors present an overview of the climate system and its dynamics, including observed climate variability and change, the carbon cycle, atmospheric chemistry and greenhouse gases, and their direct and indirect effects.
Journal ArticleDOI

Maximum entropy modeling of species geographic distributions

TL;DR: In this paper, the use of the maximum entropy method (Maxent) for modeling species geographic distributions with presence-only data was introduced, which is a general-purpose machine learning method with a simple and precise mathematical formulation.
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