Ecometrics
About Us
Measuring ecological outcomes
At RES, we guarantee the ecological performance of our projects.
That means defining targets and measuring outcomes.
Our Ecometrics roll up our core activities—the building blocks of our restored ecosystems.
As independent metrics, they each represent uplift. Planting trees, for example,
reduces erosion and removes carbon from the atmosphere.
The collective uplift, however, is our true goal. RES projects transform impaired lands and waters into rich,
fully functioning ecosystems. For each project, our design specifies the best mix of restoration elements, such as
wetland plantings, stream restoration, grassland restoration, and more. These elements combine to meet
specific goals while giving the environment an overall boost.
Find out how we achieved these results.
–navy:#0d6b93; –bar:#e9ebec; –ink:#3b4248; –muted:#5b6369;
–land:#a3b636; –water:#2ab3e6; –species:#d1a12a; –coastal:#2b7db8;
–u:calc(100cqw / 1312); /* 1 design px at 1312px wide */
container-type:inline-size;
font-family:’Lato’,’Helvetica Neue’,Arial,sans-serif;
color:var(–ink); background:#fff; max-width:1312px; margin:0 auto;
}
#res-ecometrics *{box-sizing:border-box}
#res-ecometrics .eco-banner{background:var(–navy);color:#fff;text-align:center;margin:0;
padding:clamp(18px,calc(46*var(–u)),46px) 16px;font-weight:700;letter-spacing:.01em;
font-size:clamp(26px,calc(54*var(–u)),54px);line-height:1.1;text-transform:uppercase}
#res-ecometrics .eco-filters{display:grid;grid-template-columns:repeat(4,1fr);background:var(–bar);
padding:clamp(12px,calc(28*var(–u)),28px) 8px;margin:0;list-style:none}
#res-ecometrics .eco-filter{all:unset;box-sizing:border-box;cursor:pointer;display:flex;flex-direction:column;
align-items:center;gap:6px;padding:8px 4px;border-radius:10px;color:#6c7479;
font-weight:700;text-transform:uppercase;font-size:clamp(15px,calc(36*var(–u)),36px);
transition:color .25s,opacity .25s,background-color .25s}
#res-ecometrics .eco-filter .eco-ico{width:clamp(30px,calc(64*var(–u)),64px);height:clamp(30px,calc(64*var(–u)),64px);background-position:center bottom}
#res-ecometrics .eco-filter:hover{background:rgba(255,255,255,.6)}
#res-ecometrics .eco-filter:focus-visible{outline:3px solid var(–navy);outline-offset:2px}
#res-ecometrics .eco-filter[aria-pressed=true]{background:#fff;box-shadow:0 2px 10px rgba(0,0,0,.08)}
#res-ecometrics .eco-filter[aria-pressed=true][data-cat=land]{color:var(–land)}
#res-ecometrics .eco-filter[aria-pressed=true][data-cat=water]{color:var(–water)}
#res-ecometrics .eco-filter[aria-pressed=true][data-cat=species]{color:var(–species)}
#res-ecometrics .eco-filter[aria-pressed=true][data-cat=coastal]{color:var(–coastal)}
#res-ecometrics[data-active] .eco-filter[aria-pressed=false]{opacity:.45}
#res-ecometrics .eco-hint{text-align:center;font-size:14px;color:var(–muted);margin:10px 0 0;font-style:italic}
/* —- Stage: everything positioned in 1312 x 1500 design px —- */
#res-ecometrics .eco-stage{position:relative;height:calc(1500*var(–u));overflow:hidden}
#res-ecometrics .eco-map{position:absolute;left:calc(-8*var(–u));top:calc(302*var(–u));
width:calc(1295*var(–u));height:auto;display:block;margin:0;max-width:none}
#res-ecometrics .eco-lines{position:absolute;inset:0;width:100%;height:100%;pointer-events:none}
#res-ecometrics .eco-lines polyline{fill:none;stroke-width:2.6;stroke-dasharray:.1 6;stroke-linecap:round;
transition:opacity .35s,stroke .35s}
#res-ecometrics .eco-stat{position:absolute;left:calc(var(–x)*var(–u));top:calc(var(–y)*var(–u));
width:calc(var(–w,320)*var(–u));transition:opacity .35s,filter .35s}
#res-ecometrics .eco-ico{display:block;background:no-repeat left bottom/contain}
#res-ecometrics .eco-stat .eco-ico,#res-ecometrics .eco-stat svg{display:block;width:calc(62*var(–u));height:calc(62*var(–u));margin-bottom:calc(10*var(–u))}
/* Brand icons (embedded so nothing extra needs uploading) */
#res-ecometrics .eco-ico-land{background-image:url(data:image/png;base64,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)}
#res-ecometrics .eco-ico-water{background-image:url(data:image/png;base64,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)}
#res-ecometrics .eco-ico-species{background-image:url(data:image/png;base64,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)}
#res-ecometrics .eco-ico-coastal{background-image:url(data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAIQAAACOCAYAAADw36DBAAAAAXNSR0IArs4c6QAAADhlWElmTU0AKgAAAAgAAYdpAAQAAAABAAAAGgAAAAAAAqACAAQAAAABAAAAhKADAAQAAAABAAAAjgAAAACnfr/jAAATIklEQVR4Ae1dbXrbNhIG6P5P+nubxnuCeE8Q+QTxnqDqBWrnBOueIHYvUOUEtU9g+QS1T1Bvkv290e+NyZ2XICSIwscA/BAlkc9jk8TnYPBqBhgMQCHGa+TAyIGRAy4OSFfEGL4bHDj+cHecH4mz52cx/8/704emVI+AaMrBLeX/4cPdRGZiKoT8qSJhkefFpCkoRkBsqUNTq331291UFPKC8r+xlNEYFCMgLFwdWlCpFkgaFKIEwosAfY1AMQIiwN1tRv/tw91JlgmSBku1wCUnGRQjILgs7jGdUgvZVIjibYNqk0AxAqIBx9vMSmrhZU7SIBdySp3yuqWyo0ExAqIlzqcW00AtcKuMAsUICC5bW07XklrgUsUGxQgILksD6WAXoAHgpBDZRCVV+r8Q4t9SyKdC5A9Sigdi+Mucpo10b0stqOrC/1mgGAERZqQzRUd631mfGQGgZbK4Kgo5pXCbTcJMrp+DoBgBoVkVef/xt7sL6oxLyhayC0SWHEou70WeX31+f3qDlADlcybn9NgKKEZAgKsRl+qAjDqj0ZQwokadtPh4lIvLp/enTzpE39sExQgIzVXGPYHxjFLdSUq1IIpZlosrAsJXd8r2JMUICB+Xjbh+wUBqQeazz7+czgwSgo8JNG6MKUZABNmsEry6vp/3oSYKUVx/OT8lc3XalQKKo7w40aooS6v2sHL9eH132QcYwFWaop6XNopEFkO1UAdPKPsjpwhSS181GJB+lBABrlW/uCdKxppNQO8TeG7ol7bU+bRKeUb5ubMARZEsfo5VGSqj+g+6v2USdo/XZnj9Wcri/adfTq90+Hf6YbzbOfAtE5fEVA4YFkIWF1/sev+SOuj4OcuI8cU7e0210EL+TpJCNADFyxAYqMZF9ixmZs2jyjC5YXkmET61BNeDHklMH/s6D2L58/nbM/wi65md7woUU2e8J4IWyhj5ihuoGLMYAtFhXaUoFQJ+BpN6y/NczElkPmgmvfpwdyYy+Uc9nfkOFfGdGpStMdZMU39W6xjy93q48z1SfXDVHIH47+b4AfUfBCDAIHJEnUaYeR9J/F+JAqAJOKfkxT+11dDZoZaILkHBK1vek8Si9q1few2IEgjkY8B0PVvnDOMN0uHL+eSYkdSahNdxRlampPjhev5EHesdTBZ5cfrl/encKL183NsxBPwMMMomMPyLWsoZFNZ5E3zPyIoYTORJUI45qJM9SdajGGOK0hs7BAYA2QIGVLaXgMAvL6MFn9CvZJ3b8W9FLh7ic63naBsUMssu1mvYfKOB7eVmqArZO0AYYrgTqWAyklQGeyBp5qs/twUKUpHHjGnt4uhZ3NRp0O97BQioCdqz8LtuXNf37EictFVHG6Agm0lQOpBpfKZnUTba9wYQGEDKTDqRb2t807CiaA8QoKUJKMr2M2wm39HKqa/dpGb34/rh+u4K6wCRrSF7v/xKYvYl5XsTmRfJFzBI+X5xCWUKQ+3xsuuBaVA6ylsYx3yF7oWEgO7kgoH0/r/JxvAzdeT3n88nJ5iL4453hJfxPo6tx72AaXs9qPlbiqQgVen95YOqgjytQtTthYTgS4fi4+fz06mPKRC9zxnEasAgZRZCQCo70Qxr4TlaUnjqBNA5NpPBAwIDRSLyJdpqmpXNtnMMMfT7CILBLPPV9d1sr0DBBO3gAKF+FXBnlxMi7rXZSatneS9FPifXstn/CCxkc/hzFWd9eoRasMZ4AvcIFOyxziAAATGNbWwpJmaIQjdwVG+7zLQeLCyj9gEUUhS/fjo/vVw2yvOw9UElVhTJjZw2sqSZmINg8JhpPXxZRqkxR/FxGRB6YJiXQ0XY4qMHmkYhkKTGq/dxq4Aof31qebkzqyLNPh68HGBE7jYoio/1JW5fk7cGiGhR7GuFJ47GGo0BgeJ3FRS03jLzsGcjaiuA6AsMaC2NMY43Wp0YMCRQwDub0YxH16qmK2/vgMAWuKjpnItydriMnl34ih4KKOCqjwG1j1aKi7a+9goIWBSr/ZCBdrQa/Qb1tlniUEDhW8bW7YV/hH7m3HsFBFkAL4ko1gCynE6SQyqmjPD9w12QuxoMTJyGmWmqes2gxs9DAIVvGVs3UFZGPf0eulP6fi78Sml6+RejtgWQb+4VqOdRZWUzAsfbepzzPdH30VleFRE9HmJaDEP16vhX1/Ov9Oz8kcXYIFBmbxKCs1ZP9JR7DX1gANGYRikH0QhpkclZ6S+BAlq8ti8pmk+rTXb0BggaSJ6ZFVuf82IacxJrZGe8gFvd/oEiQkpamb4e2AsgSMQzdhGRW3h1CMY6if63QwYFB9zYa+Ln4HpsL4D4Rhtj1qu1vDHW6i25yqBDBYU669rFFRVOg3OMMdhXL4Dg+B6mSAezlYcGCgysySw/NXlgeV7EqGDk7wUQZC58aSHWDCJXtubXoYACKphmbDfEMefsQnGzQJqoqx9ARJHULPEug0JZcf3tV1Nu3iFjsesYqLkfQMigHos2sfrYtqugICvuB5xUU24yrjUQQMDBJSQZHigqyC8Y9mLXMVBlL4Yp9bEPeVdr4/prB4ajSKPRxnlL6wSmv0XSYVREZ03RRQtZNF5weY8ZyY3HVKegXiQEfCENWu2PWTa1R6SH7qqkWLUYNobibSwY6Hd+myIdUG8vgMC+BYiwVUNtT8W72IUYWyn1sN0HRb1FwXc6vCSfBlM5EvQCCFV3eMSLnVccY4ujLc7gAwIF1N60ycah/gCRuzeYGj05FPPyUOgwWON/hATeiY+w4RefqcO2SB+yr6EM8IZCR4Bx8hZqoolk0BXQeKWbSxlPIndArZMylM4YCh3r3KE3SAWZFxdNrbxmwZ0Aojqsa0YVBSxpJinW56F0xlDoqJgkb+no45sutg+2CgglFUrHlXfW7k0LHEpnbJ0OSATO/sw0NqtcrQECYwXMEqjA100IcuTdemdUdG2dDrgTwkHIwafGwa3MMqAiOj7TaSij/o7pUJZJX6/iO9+++KZxjQFRbs5N332FVU7uSmfHncF2x+uMDo5BqSiySdNO9+VvBIj08wuKjzRn/kd1UAcaOIKCmKBUAQ0YPReta5x4ohtHJQOinEkEj7Cp0yfvFRBOl76TmDuTXpxQyhEUYBfNHnBzXR2N0ZbVJQGiNC+TF/OylPADTor/GZ7SNg+eERQrBhbP4mn11v9TNCAwtaxOe+PaGGixpTgJzZlHUPTf+bYaowFB33yY8cUWjvGZLD/fYyPADBtBQRrjSBybPOn7OQoQysWL+QGQyDOddMM1KGCE0WGBe2ej/q2skpYn8HtbvPDGNoykHzvvggtX5b7FUBVxB3yBApSPOTZNq2ienbT5ZOtGo4qTyXQoS698onI8PLZ/1qCqu/GNLSH4G3XjwACnGPIjvMG+T/gUJoIBjNh5SaGOQ/SBAT6P+bxxr3sKYEkIlk+kqoR92puSONkVAeCdh76UqORfaKiySN/IKDq4Nh1M220ztRDt3HiWhKAj9y8ZBeLouwkjXXl0r1I/rYMB1Q9KUoRc66EmcPAq89D2xy7BAOYFJQRbOjC9pvmnzoK8RlfULzSmpkhJUfotZPTJpudnMdcdCr7iu1857b6iTuAtCLZ8lICtzUFA8BrPG+jwyrKRmRw2GFAkt2CZkcfjZfLEB6/KgDgjIfJTqGzOokwpFhllheqKjB+K+ogkeyM5ATu/2AjtIMALCHzJLlxn+BxEDJi4p9WH64tOsfugoA/EalUT3frIDF6VQcfVPFB5b3xlhhw21Gyi3H7mmVvXa1AuYnSG0pwMVU9mLHQv7SY5I8l1xta9qoDdVB89jBtM/joBAXVBM4H/mok3n8N6DXsV+baF0nv4og6Cer0VbVSuH6z1fPS+W6DoGQzgl1NlPHM8c2Q+QyGuq/w1c62OajX0rEMwgMxdUR+PpZuA/TviLna3Eu4EBM2VJqEaQsfiMe0XAscNhlZDQUsDyWA2ZbCgKNdvyh/G5KSvMYPJGDw7VUZ4/OBXF9XY4a96hRvvTLHYEhjM6gehPgACOjpwLmhnW5v7K8yGxjy7JURAP4ds6ryv09NHwRhisQMwgEeDkBT4OjBWVYcABjDFCgjOhtvQ6Wb0/QuaCfgvsl8E59YJYIAr3s6448FS6edSv7FWQJAeeRkig3Hmg3e6SjOP4HccUsCA9ZRqTWXroDjK8ZUgv18Hps6cH2CoP9qKtwKCc2ocHFlcRKjZhSu2Cg/sBk8FA+jC3xBAATo4B5QfHYlJgFu9RVsBQTOMkITw/vo4EuZIiLmrlU3AoMscCiiqMdJC02W9h/ltzdZFoB0QwZqkUzogKx2oeRIoYoEOs6VpAwy63KGAgjjyoGmy3QuRTWzh2whLBERTUu0MahMMmsIhgCI0I9O0DuG+JUCU39pea38XYNAVbBsUOWOQrmnd9r0bQESeS9klGDSDtwkKKbKQCrWqT017n/dEQPj3F+bPwqsz0UACwXF1xyLanJ4D01SkLi9s/Jmgg3UA974NUKh2+r3ISaUE+cVtY9N0VkDQkbghAr1L2TT3DnYWXO77kAx1BvUNCo7FlsHvejM6e7cDgtGhPmNKtTDjnWrlhbzoSzLUudcXKMCj6ovFdRLW3n1T8LWEPbxYAcGwQoqw8apUA84mwEJHkZ2rCRcBXYMCYMAhKq76V+HyFrSs3rf7ZAVERaD3F14UAVtDYFt7RLOTxwyhOlJBEXKtR3wFBq9qLelrj0+h5rLi6Ydqv0KeTrDR+w7AqsYHT1R6mCl2EhDaGRjMKhPGMsi+oMM7ZlKKB2zhxyZd9SOJcu1jb2wy6e3y2SohUGHImAKRr0bQdvLw66N1/it7LCu0FzCAkgRJgWwvSsdhOjSFjke4w0YbvFeqEPHBi06svwgm6jmBExCh5W3QGfr0Ypbj4FLhVT2O9vYGBl1/Iih09ug7SZfr1BProyuLyOAEREVsoDP9Pg+JUqJ3MGh+9QcKeY9vd+t6h3R3AkIR6T/BHuKx3KTqaBF0M8dRxsi+NTBoGlag8B/+pdMn3KmN+VlCvl6yOAeVqL06ovgPHyWuwWXCQG3rYKi3M+xXWs8Reo87KiFUWhfxXgkBPz90uK9im5TYBzD42pwQtyg9y8l3MiFvr1m8gAAlcAINUlTIK4AA6fYFDFV7uIYzK4vwY8LH2Gnt5XgoTrRWQo1AMkr6L8wU6GQTDIB89oQXNOO4JCbiq3FzSstl5ODUhOZGuVGJejRwYdC95IsCgHzClB2ztCHOIgLtIXMD48LnATk2ecUQ5lkHPRmdGM2zJuEcXUC//O8xCLUWsKOBQZWBdnHtCRhPMPkwWMmwot8/paZ0j/sGBrSdBQg0nOM9vGKm92nwYKim0ktVYGsN8WNmC9/1MBYg0MhPv5xe0e2xYYMHD4ayfUU2DbUze2Z9VC5UzODi2YAA5bQjeUq3gPUSKa3XToCBuWMd6uLJ2sodD4wCBBxfElXHToABfUlbCKahPt1XdYF2RwGizPAsZnSPkRI7AwYlHcJnapG6AA/28ooChGF08g64DE7tDBhAM+88i3JP6l5NNY3+4ksIAww7b3QyGaCf1czC7x2NtLSB91Ln2cc7yzC172Co2vdEHRyQfMNfnGoK0qDK2HcwgIH4BgjdAmDYf+kAXngBcQhg4H8DJHyeBRi665cTEIcABswq1CcZgt24wOEfwVR7kMAKiEMAA/ZNVN8OC3YjbC/7uG5ha/jGoPJQwMDeNyH8p+3ZmLrLYWsSYgTDRleSqhiu/+MGtS0ELAExgmGTm7RvAifr7q0RarPF1SwjAQz0y0nbkm8joo8wGJ5ITfxJdQWnl6AHrm+76PHUlJfLMQTHQ2i9svKg8unQf0EK7NgwFF6jWLVv/w1Qq7auPy0BgeB4UNAiFy2JD9WBtFysok9SUyO5nlzEhcMaRK7DAZKxdiWAAky8xam0Q/ERSJMKJSMed00V1rqv8esGIFBiGiiAruJX+F9uS40ACHRiC50eK2FEYo0VDA4ePBjACysgEJEKCspKvhLFDVYF+5IYBIRjbDym3ddTqj8WCJSl+AhL5LaATAQM5nICAhTCzs807boa9AjvIvgftg2OUi3gIy/q09DvXASEwstd2APdeBuivYt4LyBQIQZmlYk34Ze3RvIjMX8uaQMLnan0EAsQAOCbEHRMj5hUG4jfrJUe/7IQ9HEzzucZ4ove3RxBQKBpEMlqiTjsQBLHCnmP9K7DSVZH/pbHIDYFpEkaPmE03dZXa0xChvbMAoQmulIhl/TeZufo4nu5Y+D76fwUbRgvCweiAIH83UkLC3WtBsl7fAx1lAp+pkYDQhdXjS3IAsje2Kuz9nov95vS8vU4VuCxPRkQuvjSObXc6dT2+ELXkHYfgZDGt8aA0NUqiYFNLjFrBjp3m3d5W+T51SEuTLXBxdYAoYlpyz6gy+Pd5b2kA0CxgWY0LvE45krVOiDMikpwCLIbkO1AfSKgNbVi2jTmIwhMrjd77hQQNtLKM6BpsqI/w7SyNdhSr2wUODGePkTyNM4S7HwaQ0cOjBwYOdA9B/4PZ0CxOFwHV4wAAAAASUVORK5CYII=)}
#res-ecometrics .eco-stat h3{margin:0;font-weight:700;text-transform:uppercase;color:var(–ink);
font-size:calc(27*var(–u));line-height:1.18;letter-spacing:.01em;font-family:inherit}
#res-ecometrics .eco-stat p{margin:calc(10*var(–u)) 0 0;font-style:italic;color:var(–muted);
font-size:calc(20*var(–u));line-height:1.35}
#res-ecometrics .eco-stat strong{font-weight:400}
/* category colors */
#res-ecometrics [data-cat=land] {–c:var(–land)}
#res-ecometrics [data-cat=water] {–c:var(–water)}
#res-ecometrics [data-cat=species]{–c:var(–species)}
#res-ecometrics [data-cat=coastal]{–c:var(–coastal)}
#res-ecometrics .eco-stat svg{color:var(–c)}
#res-ecometrics .eco-lines polyline{stroke:var(–c)}
/* —- Filtering —- */
#res-ecometrics[data-active] .eco-stat.is-dim{opacity:.22;filter:grayscale(1)}
#res-ecometrics[data-active] .eco-lines polyline.is-dim{opacity:.18;stroke:#9aa0a4}
#res-ecometrics[data-active] .eco-stat:not(.is-dim) strong{color:var(–ink);font-weight:700}
/* —- Small screens: map on top, stats as a list —- */
@container (max-width:700px){
#res-ecometrics .eco-stage{height:auto;padding:16px;overflow:visible}
#res-ecometrics .eco-map{position:static;width:100%}
#res-ecometrics .eco-lines{display:none}
#res-ecometrics .eco-stats{display:grid;grid-template-columns:1fr 1fr;gap:22px 16px;margin-top:20px}
#res-ecometrics .eco-stat{position:static;width:auto}
#res-ecometrics .eco-stat .eco-ico,#res-ecometrics .eco-stat svg{width:38px;height:38px;margin-bottom:6px}
#res-ecometrics .eco-stat h3{font-size:16px}
#res-ecometrics .eco-stat h3 br{display:none}
#res-ecometrics .eco-stat p{font-size:14px;margin-top:4px}
#res-ecometrics .eco-filter{font-size:13px}
}
@container (max-width:420px){
#res-ecometrics .eco-stats{grid-template-columns:1fr}
}
@media (prefers-reduced-motion:reduce){#res-ecometrics *{transition:none!important}}
All-Time Ecometrics
Select a category to highlight its results. Select it again to show all.
Wetlands Restored
78,462 acres of wetlands
Streams Restored
717 miles of streams
Mitigation
Projects
338 mitigation projects
Species
Protected
28 special-status animal species protected
Land Restored
& Protected
89,241 acres of land
Trees Planted
28,518,618 trees planted
Nutrient Removal
1,217,674 pounds of water quality nutrients removed from waterways
Shorelines Restored
448 miles of shoreline restored
Species Habitats
20,550 acres of special-status species habitats protected
20,700 acres of upland & prairie habitat restored & protected
(function(){
var root = document.getElementById(‘res-ecometrics’);
if (!root) return;
var buttons = root.querySelectorAll(‘.eco-filter’);
var items = root.querySelectorAll(‘.eco-stat, .eco-lines polyline’);
function setActive(cat){
if (cat) root.setAttribute(‘data-active’, cat); else root.removeAttribute(‘data-active’);
buttons.forEach(function(b){ b.setAttribute(‘aria-pressed’, String(b.dataset.cat === cat)); });
items.forEach(function(el){ el.classList.toggle(‘is-dim’, !!cat && el.getAttribute(‘data-cat’) !== cat); });
}
buttons.forEach(function(b){
b.addEventListener(‘click’, function(){
setActive(root.getAttribute(‘data-active’) === b.dataset.cat ? null : b.dataset.cat);
});
});
})();