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PASS Scripta Varia 21 - Pontifical Academy of Sciences

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Quantifying the potential impacts<br />

<strong>of</strong> climate change on vegetation<br />

diversity at large spatial scales<br />

Megan Konar, Ignacio Rodríguez-Iturbe<br />

1. Introduction<br />

Climate change is likely to be the most significant threat to biodiversity<br />

worldwide after 2050 (Strengers et al., 2004). For this reason, quantification<br />

<strong>of</strong> the potential impacts <strong>of</strong> climate change on biodiversity is urgently needed<br />

(Sala et al., 2000; Clark et al., 2001; Botkin et al., 2007). The various features<br />

associated with climate change (e.g. temperature, precipitation patterns, CO 2<br />

concentrations, sea level rise, etc.) will likely impact different species in unique<br />

and unpredictable ways, making it particularly challenging to model.<br />

It is important to consider biodiversity at the appropriate spatial scale<br />

when studying the impact <strong>of</strong> climate change, since projections <strong>of</strong> environmental<br />

variables under climate change are typically provided as large spatial<br />

scales (Intergovernmental Panel on Climate Change, 2007). Biodiversity is scaledependent.<br />

In fact, one <strong>of</strong> the oldest and most well documented patterns<br />

in community ecology is the species-area curve, which describes the observed<br />

increase in species richness as area increases (Preston, 1962; Rosenzweig,<br />

1995). This relationship has long fascinated ecologists, leading to an<br />

extensive literature devoted to the scale dependence <strong>of</strong> diversity patterns<br />

(Currie, 1991; Crawley and Harral, 2001; Hui, 2009). While the increase in<br />

the number <strong>of</strong> species with area is a widely recognized empirical phenomenon,<br />

the mechanisms driving this observed relationship are still widely debated<br />

in the literature. Since biodiversity is scale-dependent, the spatial scale<br />

must be appropriate when coupling biodiversity and climate change models.<br />

For this reason, we focus on quantifying the impact <strong>of</strong> climate change<br />

on biodiversity at large spatial scales in this paper.<br />

In this paper, we highlight some recent efforts to quantify the potential<br />

impacts <strong>of</strong> climate change on biodiversity, with a particular emphasis on vegetation<br />

driven by hydrologic variables. We focus on the diversity <strong>of</strong> vegetation<br />

in two very different ecosystems. The first is the Mississippi-Missouri River<br />

System (MMRS), the largest watershed in North America, comprising<br />

2,980,000 km 2 , approximately 40% <strong>of</strong> the surface area <strong>of</strong> the continental<br />

United States. The second is the Everglades National Park (ENP), encompassing<br />

nearly 5,700 km 2 , which is comprised <strong>of</strong> a mosaic <strong>of</strong> different vege-<br />

The Scientific Legacy <strong>of</strong> the 20 th Century<br />

149

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